120results about How to "Focus" patented technology

The invention provides a building material surface defect detection method based on infrared polarization imaging, which belongs to the field of image processing, and constructs a building material surface defect detection model through input, image preprocessing, a feature extraction module, a feature fusion module, a building material polarization enhancement image module, a building material surface defect detection module and output. Information of a polarization image, an infrared image and a depth image is fused, more comprehensive feature representation is provided, the model has higher recognition capability on fine defects, a self-attention mechanism further optimizes the focusing effect of the features, interference of background noise is avoided, it is ensured that a defect area is fully recognized, and the recognition efficiency is improved. The method has better adaptability and performance in the field of defect detection, can cope with more complex and variable building material detection tasks, and particularly shows stronger advantages when detecting tiny defects and complex surfaces.

The invention relates to a fault detection method based on a multi-modal attention mechanism. The method comprises the following steps: performing data fusion on multiple data sources in an IT system; wherein the multiple data sources comprise log data, monitoring data and user behavior data; inputting the fused data into a fault detection model to obtain a fault detection result; wherein the fault detection model is constructed based on a GRU neural network and a multi-head attention mechanism. According to the invention, by introducing the large language model, the GRU neural network, the multi-head attention mechanism and the multi-modal data fusion technology, the accuracy and reliability of system fault detection can be effectively improved.

The invention belongs to the technical field of online analysis of organic pollutants, and particularly relates to a device and a method for real-time online analysis of non-volatile organic pollutants. The device comprises a sample injection module, a vacuum ultraviolet lamp, an ionization source cavity, a repulsion electrode, an ion funnel, a mass analyzer and a vacuumizing module, the ionization source cavity is provided with a sample injection port, a vacuum extraction port and an ion output port, and the vacuum ultraviolet lamp, the repulsion electrode and the ion funnel are sequentially arranged in the ionization source cavity at intervals in the axis direction of the ion output port; the ion funnel is close to the ion output port; the sample injection module is arranged at the sample injection port; the vacuumizing module is arranged on the vacuum extraction opening; the ion output port is externally connected with a mass analyzer; a direct-current voltage is applied to the repulsion electrode, and a direct-current voltage and a radio-frequency voltage are applied to the ion funnel. According to the invention, the ions with relatively large initial distribution area can be focused, so that the detection sensitivity is further improved, and the detection requirements on trace non-volatile organic pollutants are met.

The invention relates to the technical field of infantile autism intervention training, and discloses an active intervention training method and system for infantile autism children, and the method comprises the following steps: employing a visual music intervention method to guide the attention of the infantile autism children; guiding the autistic child to review the content of the previous intervention training; guiding the autistic children to learn and consolidate social gestures; and guiding the autistic children to learn and consolidate emotional expression. The robot has multiple intervention training means, the requirement for different children with the autism is met, in the intervention training process, the robot can autonomously interact with the children with the autism, and the emotion of the children with the autism is fully aroused.

The invention discloses a C2 symmetric chiral metasurface and application and verification methods of phase control, and belongs to the field of micro-nano optics, the C2 symmetric chiral metasurface comprises a surface layer, a middle layer and a back plate layer which are sequentially arranged from top to bottom, the surface layer is composed of a left arc-shaped ring and a right arc-shaped ring which are arranged in a central symmetry mode, and protrusions are arranged on the opposite sides of the left arc-shaped ring and the right arc-shaped ring; the protrusions on the left arc-shaped ring and the protrusions on the right arc-shaped ring are symmetrically arranged about the circle center, and the central angle beta of the notch of the left arc-shaped ring and the central angle beta of the notch of the right arc-shaped ring are obtuse angles. By adopting the C2 symmetric chiral metasurface and the application and verification method of phase control, the spin decoupling phase control of the co-polarized circularly polarized terahertz wave can be realized only through the chiral phase by using the superatoms which have no mirror symmetry and have second-order rotation (C2) symmetry and the mirror atoms thereof.

The utility model discloses a novel wafer wax polishing and unloading device which comprises a pure water cooling system, a pure water filtering system, a spraying pipeline, a ceramic disc used for wafer CMP (chemical mechanical polishing) processing and a wafer unloading knife used for taking down a wafer from the ceramic disc. The pure water cooling system comprises a cooling barrel used for cooling ultrapure water from the room temperature to the low temperature. After wax polishing, the wafer unloading fragment rate is greatly reduced, the wafer unloading fragment rate of a substrate wafer with the thickness smaller than 1 mm is improved to 0%, and the wafer unloading fragment rate of a substrate wafer with the thickness smaller than 0.5 mm is improved to be close to 0%; one group of wafer unloading device meets at least two polishing lines (one polishing line produces fifty thousand wafers per month), and the raw material cost corresponding to each wafer during CMP (Chemical Mechanical Polishing) is reduced by 1-5 yuan, so that at least one hundred thousand yuan can be saved by one group of wafer unloading device per month; the edge collapse process capability of the geometrical morphology of the wafer after CMP is stabilized at 400-600 nm, and focusing of the wafer in the photoetching process is facilitated.

The invention discloses a micro-fluidic chip for sorting circulating tumor cells based on a double-helix structure and a sorting method thereof, the micro-fluidic chip has the double-helix structure comprising an inner outlet, and the micro-fluidic chip comprises a primary screening channel for primarily focusing and separating circulating tumor cells; the secondary screening channel is directly connected with the primary screening channel and is used for carrying out secondary focusing separation on the circulating tumor cells subjected to primary screening; wherein the primary screening channel is separated into two branches after rotating into the chip, one branch is connected with the middle outlet and used for discharging unfocused particles and redundant liquid, and the other branch is connected with the secondary screening channel so as to continue focusing and separation of the particles; the micro-fluidic chip is provided with an inlet for injecting a liquid sample and three outlets, namely a middle outlet, a particle collection outlet and a waste outlet, so that the injection of the liquid sample and the collection of separated particles are realized. According to the invention, high-throughput screening of the circulating tumor cells is realized, and the separation efficiency is improved.

The invention relates to a rear pressure valve type mark pen and a use method thereof. The mark pen comprises a pen holder, an ink storage cavity separation cylinder and a movable cap. An inner cavity of the penholder comprises a first ink storage cavity; the glove further comprises a thumb attaching area and a rear-end finger attaching area, the thumb attaching area is used for positioning a thumb, and the rear-end finger attaching area is used for positioning a rear-end finger; the pen holder and the ink storage cavity separation cylinder are matched to form a first observation window and a second observation window. The first observation window and the second observation window are distributed in the circumferential direction of the pen holder, and the included angle between the first observation window and the second observation window ranges from 90 degrees to 180 degrees. The first observation window is used for allowing a user to observe the ink storage amount of the first ink storage cavity when the user presses the movable cap with the thumb. The second observation window is used for the user to observe the ink storage amount of the first ink storage cavity when the user presses the movable cap with the index finger. According to the mark pen, various ink outlet control selections are provided for a user, the ink storage amount condition can be observed in various modes, corresponding pen holding posture guiding is carried out, and more accurate ink outlet control is achieved.

The utility model provides a defogging lens structure and a vehicle-mounted electronic camera, the defogging lens structure comprises a lens group, the lens group comprises a first lens, and the first lens is installed at a position, close to an object side, of a lens; the structure further comprises a heating ring used for increasing the temperature of the first lens, and the heating ring is of an annular structure and is attached to the side, close to the image side, of the first lens; the power supply assembly is used for supplying power to the heating ring, and the first lens of the lens is heated through the FPC heating device in the lens, so that the effect of rapidly removing water mist in the lens is achieved (due to internal heating, the water mist in the lens can be removed within 0.5-2 minutes in the required heating time period, and the water mist in the lens can be removed within 0.5-2 minutes. Compared with an external heating scheme, the heating time is shorter, the heating effect is better, the phenomenon that water mist generated in the lens is blurred on an image display picture, consequently, imaging of the lens is affected is avoided, and external manual wiping is not needed.

The invention, which relates to the technical field of circuit protection, discloses an intelligent drop-out fuse comprising a mounting base in which three limiting hoop mechanisms are fixedly mounted. A first drop-out fuse body, a second drop-out fuse body and a third drop-out fuse body are arranged in each limiting hoop ring mechanism; three limiting side support mechanisms are arranged in the mounting seat, and the three limiting side support mechanisms are matched with the first drop-out fuse body, the second drop-out fuse body and the third drop-out fuse body respectively; a module bin is fixedly mounted in the mounting seat, a collection unit module is inserted into the inner side of the module bin, the mechanism adopts the arrangement of a limiting side supporting mechanism, effective side supporting force is provided for the drop-out fuse, the number of acting points of the drop-out fuse after mounting is increased, the stability of the drop-out fuse during use is further improved, and the service life of the drop-out fuse is prolonged. And shaking is prevented.

The invention discloses a gene amplification fluorescence in situ hybridization image intelligent identification system based on deep learning. According to the technical scheme provided by the invention, in the system, an image acquisition module is used for performing image acquisition on a sample marked by a FISH technology by using a microscope to obtain an initial image; the SAM segmentation module is used for carrying out image segmentation on the initial image based on an SAM model to determine a segmented image; the ResNet comparison module is used for comparing each quasi-cell image by using the standard cell image, and topping a real cell image; the fluorescent dot counting module is used for carrying out fluorescent dot identification and counting based on a color filtering technology, and carrying out gene amplification detection based on a target gene signal and a chromosome centromere signal. According to the method, more accurate intelligent segmentation of the FISH image is realized based on the SAM model, the accuracy of cell judgment is further improved by using a deep learning technology, the identification and counting of target gene signals are quickly realized, and the gene amplification level is better judged.

The present invention relates to the technical field of neutron scattering, and in particular to a hyperbolic single crystal graphite analyzer used in a secondary spectrometer of a neutron spectrometer, which improves the energy resolution and detection efficiency of the neutron spectrometer by optimizing the geometric shape of the analyzer; the analyzer comprises a substrate, and both the horizontal (x) and vertical (y) directions of the substrate are designed into a hyperbolic trapezoidal structure according to a fourth-order polynomial, which determines the overall geometric shape of the analyzer; the present invention effectively solves the problems existing in the prior art through an innovative design of a hyperbolic single crystal graphite analyzer, significantly improves the performance of the neutron spectrometer, and has important value for neutron scattering research and applications in related fields.

The invention belongs to the technical field of wind tunnel experiments, and discloses a grid-free field-lens-free large-view-field focusing schlieren system. The grid-free field-lens-free large-view-field focusing schlieren system comprises a light source, a small hole, a collimating convex lens, a spectroscope, a model, a focusing convex lens, a knife edge and a scientific camera. Light emitted by the light source passes through the small hole, reaches the collimating convex lens and becomes a quasi-parallel light beam after passing through the collimating convex lens, the light beam passes through the spectroscope, reaches the model, returns to the spectroscope after being reflected by the model and reaches the focusing convex lens after being reflected by the spectroscope, and the focusing convex lens converges the light beam to the knife edge; and finally, focusing the to-be-measured flow field area by the scientific camera and then acquiring a schlieren image. According to the grating-free field-lens-free large-view-field focusing schlieren system, flow field density gradient distribution with small optical path integral effect under the large-view-field condition is obtained in a large wind tunnel, and the grating-free field-lens-free large-view-field focusing schlieren system has engineering practical value.

The invention provides a brain wave intervention method based on artificial intelligence. The method comprises the following steps: acquiring memory emotion data and brain wave data of a user in real time; the scene memory is awakened by using the VR equipment; determining a memory consolidation window period according to the memory emotion data; playing the intervention memory scene content by using the VR equipment in the memory consolidation window period, and calculating the concentration degree of the user according to the brain wave data; and when the concentration degree of the user is not within the set threshold range, performing brain wave intervention on the user. According to the method, the memory is intervened and rewritten in the memory consolidation window period, and the brain wave intervention is performed on the brain, so that the user can intervene and rewrite the memory more intensively, and the memory rewriting is deeper and more efficient.

The application is suitable for the technical field of dismounting of torsion tube, and provides a dismounting method of torsion tube of airplane footrest. The dismounting steps of the torsion tube comprise: moving the inner tube towards the first bushing, cutting off the part of the inner tube exposed to the outer tube through the first bushing; moving the inner tube towards the second bushing, so that at least part of the inner wall of the first bushing is exposed to the inner tube; fixedly connecting the plug in the first bushing; applying force to the plug, separating the plug and the first bushing from the outer tube together, and taking out the inner tube; fixedly connecting the plug in the second bushing; applying force to the plug, separating the plug and the second bushing from the outer tube. In the application, the cooperation structure of the outer tube and the inner tube is used to cut off part of the inner tube, so that the first bushing is exposed to the inner tube, the plug is fixed with the first bushing, the force point of the first bushing is increased, the operator can separate the plug and the first bushing from the outer tube, the dismounting of the torsion tube is completed without damaging the structure of the outer tube, and the replacement cost of the torsion tube is reduced.

The invention relates to the technical field of welding spot detection, and provides a pin type welding spot detection method and system for light source scene change, and the method comprises the steps: firstly, employing a lightweight convolutional neural network MobileNetV3 to extract welding spot image features; then, a feature style mixing module is added to a middle layer and a low layer, image effects under different illumination conditions are simulated by randomly changing the style of features, and the adaptability of the model under different scenes is improved; a coordinate attention module is added to a high layer, and the recognition capability of the model on a welding spot fine defect area is enhanced; and finally, judging whether the welding spots have defects and defect types or not through a classification module. The method can effectively improve the accuracy and stability of contact pin type welding spot defect detection in a complex industrial environment.

The invention relates to a traditional Chinese medicine pulse condition diagnosis method based on an encoder-decoder framework. The traditional Chinese medicine pulse condition diagnosis method comprises the steps of collecting data, preprocessing a data set, constructing a neural network based on the encoder-decoder framework, training the network and testing. According to the method, a pulse condition signal diagnosis problem is modeled into a machine translation problem, mapping is established between the pulse condition signal and the diagnosis text, the problem how to extract key features from the complex pulse condition signal by using the deep neural network is solved, the accuracy of pulse condition signal diagnosis is improved, and the diagnosis text for the pulse condition signal is directly generated.

The brake debugging platform for the yaw motor comprises a working bin and two test bases installed on the inner wall of the lower end of the working bin, driving motors are arranged in the outer walls of the upper ends of the two test bases, and the outer walls of the upper ends of the two driving motors are in transmission connection with detection gears. A driver main body is arranged on the upper side of the working bin, a connector is fixedly connected to the outer wall of the lower end of the driver main body, and a driver gear meshed with the detection gear is fixedly connected to the outer wall of the lower end of the connector. When the detection gear and the driver gear are screwed for detection, no matter where the detection is carried out, the continuous lubrication can be realized without frequent manual intervention, the gear is ensured to be always in a good lubrication state in the detection process, the continuity and the stability of the detection are ensured, and the detection does not depend on external specific lubrication facilities or conditions.

The present application relates to the field of optics, in particular to a broadband achromatic superlens with a large field of view. The superlens is composed of a cylindrical base embedded with a non-equal-height circular hole array and a nano-pillar array with a multi-ring structure. The non-equal-height circular hole array serves as the light entrance surface, and the nano-pillar array serves as the light exit surface. The circular hole array on the base has different depths and radii, and the nano-pillar array unit structure layer is composed of multiple ring bands, each ring band corresponding to a wavelength to achieve broadband achromatism. The nano-pillars arranged in the unit structure layer have various structures, such as cylindrical, annular, cross-shaped, etc. Different nano-pillar structures are used from the center to the outside, thereby reducing the mutual interference between adjacent ring bands. The materials of the unit structure layer and the base are transparent or low-absorption materials, and appropriate materials are selected according to different wavelength ranges. The superlens proposed in the present application can focus light beams of any wavelength range under a large field of view and a large spectral bandwidth.

The embodiment of the present invention provides a detection device and a detection method for performing scanning detection, wherein the detection device comprises: an illumination light source for providing illumination light; an objective lens for projecting the illumination light onto a detection surface and for imaging the detection surface, wherein the projection of the optical axis of the objective lens on the detection surface is a detection point; a focusing device for determining a measurement point on the detection surface, wherein the measurement point has an offset relative to the detection point along the scanning direction; and for adjusting the objective lens for focusing according to the detection surface position corresponding to the measurement point; and a detection device for detecting the illumination light collected by the objective lens. The embodiment of the present invention can optimize focusing performance and improve imaging quality.

This invention discloses an emotion analysis and feedback device based on visual and audio recognition in the field of psychological instruments and equipment technology. The device includes: a mobile base; a functional panel, vertically fixed to the top of the mobile base; a positioning ring, vertically suspended to the side of the functional panel, with an internal opening larger than the frontal contour of the human body, used for centering the user and restricting their sitting posture; a connecting arm, one end connected to the lower end of the functional panel and the other end connected to the positioning ring, used to support the positioning ring in a suspended state; and a flexible covering assembly located above the connecting arm, its surface forming a sloped structure facing the functional panel, used to guide the user's gaze to focus on the functional panel. This device features a hollow, large-sized positioning ring, which can center and align the user's torso and correct their sitting posture, avoiding blind spots caused by posture deviation. Combined with multi-directionally deployed visual and audio acquisition components, it significantly improves the accuracy of emotion analysis.

The application provides a traditional Chinese medicinal material hyperspectral anomaly detection classification method and system and a computer device, relates to the traditional Chinese medicinal material quality inspection field, and the method comprises the following steps: reading hyperspectral data, performing foreground detection on the hyperspectral data by adopting a multiscale spatial spectrum fusion method to obtain an abnormal area foreground mask; collecting N three-dimensional Patch arrays of the foreground mask area through three-dimensional Patch automatic sampling; setting a three-dimensional convolutional neural network of a wave band self-attention mechanism, inputting the foreground mask and the three-dimensional Patch arrays into the neural network to generate a high-level semantic feature vector; and finally outputting a classification result through a neighborhood spatial spectrum self-supervision aggregation attention module of the high-level semantic feature vector. The traditional Chinese medicinal material hyperspectral anomaly detection classification method, system and computer device are used, a new efficient, accurate and automatic traditional Chinese medicinal material mildew and insect damage detection method is realized, and the detection quality and the practical value of the system are significantly improved.

The application discloses a sound-absorbing and sound-insulating material and relates to the technical field of sound-absorbing and sound-insulating materials. The sound-absorbing and sound-insulating material is characterized in that PET hollow fibers are used as a framework, PP melt-blown fibers are used as filling materials to form a high-frequency sound-absorbing layer, the PET hollow fibers are used as a framework structure to ensure that the sound-absorbing and sound-insulating material has sufficient strength and stability, and melt-blown cloth fluff is added to the high-frequency sound-absorbing layer to prepare a low-frequency sound-absorbing layer. The PP melt-blown fibers are directly deposited and embedded into the PET fiber framework to form a material with small pores but many pores. The high-frequency sound-absorbing layer and the low-frequency sound-absorbing layer are layered and stacked, and non-woven fabric is arranged on the outer surface to form a novel sound-absorbing and sound-insulating material. The sound-absorbing and sound-insulating material not only has better sound-absorbing performance, but also has improved low-frequency sound-absorbing performance.

The invention discloses an alarm information pushing method and device, equipment and a storage medium, and belongs to the technical field of equipment operation monitoring, the method is executed by a server side of a comprehensive monitoring system, and the method comprises the following steps: obtaining alarm information, and detecting the current information state of the alarm information; updating the time section alarm list according to the current information state to obtain a target time section alarm list; obtaining the user permission of the client; and according to the user authority, pushing alarm information in the target time section alarm list to the client. According to the invention, the focusing degree and attention degree of the alarm information are improved, the influence of the alarm information generated at the frequently changing equipment monitoring point on the alarm display list is avoided, the alarm information is filtered, the push amount of the alarm information is reduced, a user can quickly know and master the alarm information worthy of attention, and the user experience is improved. Therefore, the processing efficiency of the alarm information is improved.

The present disclosure relates to the field of optical technology, and provides a pupil distance measurement method, a near-eye display system, and a computer-readable storage medium. The present disclosure sets an aperture stop on an observation lens; sets a field stop on one side of a display screen; and moves at least one of the aperture stop, the observation lens, the field stop, and the display screen, so that a light beam emitted by an image displayed on the display screen enters the human eye through the field stop, the observation lens, and the aperture stop. At the same time, the movement of the aperture stop can also match the observation center of the user's eye with the center of the image. When the user sees the image and the observation center of the user's eye matches the center of the image, the distance between the center of the current aperture stop and the reference point is measured to obtain the user's pupil distance. In this way, when the pupil distance measurement method is applied to the near-eye display field, the user can first measure his or her own pupil distance, and then adjust the pupil distance of the near-eye display system, thereby relieving fatigue and improving user experience.

This invention relates to the field of blood glucose concentration prediction technology, specifically disclosing a method, system, and device for blood glucose concentration prediction based on a multi-branch attention mechanism. The method includes: acquiring multivariate time-series data related to blood glucose regulation; dividing the features into multiple feature subsets; inputting each feature subset into a corresponding independent recurrent neural network branch for time-dependent learning to generate a hidden state sequence; inputting each hidden state sequence into a corresponding attention submodule for processing, outputting a weighted feature representation; fusing the weighted feature representations to obtain a unified feature representation; and generating a blood glucose concentration prediction result through an output layer. This invention separates the temporal patterns of heterogeneous features through a multi-branch structure and focuses on key time steps using an attention mechanism, solving the problems of feature interaction interference and insufficient capture of key information in existing technologies, significantly improving the accuracy and clinical applicability of blood glucose prediction.

The invention belongs to the technical field of high-voltage lightning stroke fault prevention, and more specifically relates to a lightweight lightning image instance segmentation method. The method comprises the steps that firstly, lightning images existing in a target area in thunderstorm days are obtained and cleaned, images which do not meet conditions are removed, and the reserved images should be exposed moderately; then, inputting the cleaned lightning image data into a YOLO-lightning network model, and carrying out instance segmentation on the lightning image data; and finally, outputting contour information of the to-be-identified lightning in the image. According to the method, the problems of insufficient precision and limited feature extraction capability in complex form target instance segmentation in the prior art are solved.

This invention discloses an anti-tangling cotton yarn processing jet dyeing machine. A guide wheel is fixedly connected to the inner wall of a fixed frame. A jetting device is fixedly connected to the inner wall of the fixed frame on one side of the guide wheel. The jetting device includes a feeding pipe. A heating ring is sleeved and fixedly connected to the side of the feeding pipe. The bottom of the heating ring is connected to the outlet of an electric water pump. A rotating pipe is rotatably connected to the side of the feeding pipe. A winding wheel is fixedly connected to the side of the rotating pipe. A drive shaft of a first motor is fixedly connected to the end of the rotating pipe away from the feeding pipe. The fixed end of the first motor is fixedly connected to the side of the fixed frame. The inlet of the electric water pump is connected to the side of a collection tank. The feeding pipe passes through the side of the fixed frame and is fixedly connected to the side of the fixed frame. The fixed frame provides overall support for the equipment. Cotton yarn is guided along the guide wheel after being introduced.