91results about How to "Quick focus" patented technology

The invention provides a network node classification method based on a multilayer graph neural network model, and the method comprises the steps: constructing a graph according to network nodes, carrying out the preprocessing of initial node features in the graph, and obtaining an initial embedded vector; according to the initial embedding vectors of the node and the neighbor node thereof, updating the node representation by adopting a layered message passing mechanism; according to the initial embedded vectors of the nodes and the neighbor nodes thereof, the graph attention network uses an attention mechanism to calculate weights for the neighbor nodes of each node and then dynamically updates feature vectors of the nodes; a multi-head attention mechanism is adopted to splice and merge the feature vectors of the nodes output by the graph attention network and the updated node representation, and the comprehensive feature vector of each node is obtained; the comprehensive feature vectors are further optimized through graph contrast learning and a node embedding module, and optimized features are obtained; and obtaining predicted node classification according to the optimization features. According to the method, complex features of heterogeneous graph data can be effectively captured, the method has good robustness for an over-smoothing problem, more accurate heterogeneous network representation learning is realized, and the method has advanced performance and robustness in a node classification task.

The invention discloses a chest CT (Computed Tomography) image processing method and system, and relates to the technical field of medical image processing, and the main scheme is as follows: acquiring image data of two groups of X-rays with different energies and attenuation measurement values of pixel points by adopting dual-energy CT scanning, respectively calculating concentration values of soft tissues and blood vessels, and generating concentration maps; generating an initial image based on the soft tissue and blood vessel concentration map, calculating a pixel value, obtaining a target image pixel value through contrast stretching, segmenting the target image pixel value to obtain a binary image, and distinguishing a blood vessel region and a soft tissue region in the binary image by identifying and analyzing a connected region in the binary image; carrying out center line extraction on the blood vessel region, calculating a local diameter, and respectively comparing the local diameter with a blood vessel dilation threshold value and a blood vessel constriction threshold value to judge abnormal blood vessel dilation or constriction; extracting features from the soft tissue region to form a first feature vector, and comparing the first feature vector with a preset second feature vector to judge abnormality; abnormal conditions are automatically labeled or highlighted, so that the diagnosis accuracy and efficiency are improved.

The invention provides a movable guide vane shaft sleeve area quality detection method, device and equipment, and belongs to the technical field of movable guide vane shaft sleeve detection. The method comprises the following steps: acquiring a target detection condition parameter; wherein the target detection condition parameters are obtained by optimizing detection condition parameters of a hydroelectric generating set movable guide vane simulation model determined by a simulation model constructed based on the hydroelectric generating set movable guide vane; and controlling the detection tool device to perform phased array detection on the shaft sleeve area of the movable guide vane of the hydroelectric generating set according to the target detection condition parameters, and identifying defects of the shaft sleeve area of the movable guide vane of the hydroelectric generating set. By optimizing the simulation model and the detection parameters, the precision, efficiency and reliability of shaft sleeve defect detection are remarkably improved.

The invention discloses a PID (Proportion Integration Differentiation) parameter optimization method based on an improved graffiti search algorithm, and relates to the technical field of PID. The invention aims to solve the problems of insufficient local search capability, slow convergence speed and poor system stability in the prior art, thereby realizing a better PID parameter optimization effect. Specifically, the PID parameter optimization method based on the improved graffiti search algorithm comprises the following steps: constructing a PID controller model; a step of replacing a fixed perception probability and a step length in the model with an adaptive perception probability and a Levy flight step length; a step of adding a crow misleading prevention factor into the model; and acquiring preset parameters in the PID controller model based on a particle swarm algorithm. The preset parameters comprise proportional (Kp), integral (Ki) and differential (Kd) parameters. Parameters of the Levy flight step length are dynamically adjusted through a Bayesian optimization algorithm. The method is suitable for being applied to PID parameter optimization work.

The invention provides an earthquake disaster loss dynamic assessment method and system based on multi-source disaster situation data, and relates to the technical field of data processing, and the method comprises the steps: obtaining a multi-source original data set; the information data set is cleaned, redundant information is removed, time labels are extracted, and all the time labels are unified to coordinate time; performing data screening on the traffic data set, removing abnormal flow values, and extracting effective traffic flow information; performing space coordinate conversion on the image data set, and aligning image coordinates with a disaster area geographic coordinate system; calculating the traffic passage index of each region, calculating the building damage rate and the road passage rate in the region, analyzing the passage condition and the resource arrival difficulty of each region, and combining the personnel distribution and the important facility position in the information data set; marking different loss levels for each area of the disaster area, and generating a dynamic evaluation report; the method has a good dynamic evaluation effect.

The invention provides a processing method for a monitoring analysis system. According to the method, comment data on a public network platform in a preset time period range are acquired to generate a comment data set, and then a user node set is generated according to user information of each piece of comment data in the comment data set; generating a feature vector edge set among the user nodes in the user node set according to each piece of comment data in the comment data set, thereby generating a comment data monitoring graph corresponding to the comment data according to the user node set and the feature vector edge set; according to the method, the target comment data is determined from the comment data set according to the comment data monitoring graph, so that the target comment data can be accurately determined from the comment data set based on the comment data monitoring graph, and key comment information published by users with transmissibility can be quickly focused.

The invention discloses an angle positioner for ablation biopsy needle puncture under CT guidance, and belongs to the technical field of ablation biopsy needle angle positions.In the moving process, a driving gear at the outer end of a rotating rod drives a first driven gear and a second driven gear to be linked, a right-hand thread screw and a left-hand thread screw are driven to rotate, and the right-hand thread screw is driven to rotate; the right-hand thread screw and the left-hand thread screw push the abutting pad to extend outwards to be fixed in the rotating process, the fixing function can be achieved in the moving process, the double-linkage function is achieved, the abutting pad can also be rotated manually to move outwards and inwards, and the fixing effect is achieved. An inner angle scanning piece and an angle identification groove are matched for use, the rotating angle is measured in the rotating process of a biopsy needle angle adjusting piece, focusing can be rapidly carried out while the rotating precision is improved, alignment laser and a biopsy needle containing groove are matched for use, the alignment laser is correspondingly connected with the focusing point of fixed laser and the focusing point of rotating laser, and the alignment precision is improved. The function that the biopsy needle can be independently adjusted is achieved.

The utility model discloses lighting equipment for ophthalmology examination, and relates to the technical field of lighting equipment for ophthalmology examination, the lighting equipment for ophthalmology examination comprises a supporting mechanism, the supporting mechanism comprises a U-shaped supporting plate, the inner wall of the U-shaped supporting plate is provided with a sliding groove, the outer wall of the U-shaped supporting plate is fixedly connected with a connecting plate, and the connecting plate is fixedly connected with the U-shaped supporting plate. A second U-shaped supporting plate is fixedly connected to the side, away from the U-shaped supporting plate, of the connecting plate, a dust removal mechanism is arranged on the outer wall of the U-shaped supporting plate, and the dust removal mechanism comprises an L-shaped supporting plate. The extrusion air bag can be extruded by the collision ball, and when the collision ball is extruded, internal air can be quickly sprayed to the slit lamp through the air spraying opening, so that dust falling into the slit lamp can be conveniently and timely cleaned, and the conditions that lamplight is not suitable for use or focusing due to dust accumulation and the like are reduced.

The invention discloses a full-spherical automatic focusing optical lens. The full-spherical automatic focusing optical lens is composed of a transmission group G1 with negative focal power, a transmission group G2 with negative focal power, a transmission group G3 with positive focal power, an aperture diaphragm, a transmission group G4 with positive focal power, a transmission group G5 with positive focal power and a detector assembly module which are sequentially arranged from an object space to an image space, wherein the transmission group G1 with negative focal power, the transmission group G2 with negative focal power, the transmission group G3 with positive focal power, the aperture diaphragm, the transmission group G4 with positive focal power, the transmission group G5 with positive focal power and the detector assembly module are arranged in sequence; the detector assembly module comprises an optical filter, a protection window and an image plane which are sequentially arranged from an object space to an image space. The lens has good imaging characteristics, the whole system has good transfer functions and image points, the working wavelength is 486-656 nm, the telephoto distance is infinite, the close-up distance is 0.3 m, the working image plane can reach 9.2 mm, the focusing stroke is short and only needs 0.28 mm, and the rapid focusing capacity is achieved.

The utility model discloses a Z-axis numerical control surface grinder structure easy to clean metal scraps, which belongs to the technical field of surface grinders, and comprises an equipment box and a working plate, the surface of the equipment box is fixedly connected with a control panel, and the upper surface of the equipment box is in bolted connection with a working box; a grinding wheel assembly is slidably arranged on the surface of the working box through an electric sliding rail, and cooling liquid output pipes are fixedly connected to the positions, on the two sides of the grinding wheel assembly, of the shell. And the long pin is rotationally arranged in the striker plate, and the surface of the long pin is fixedly connected with a gear. According to the Z-axis numerical control surface grinding machine structure capable of easily cleaning the metal scraps, when the Z-axis numerical control surface grinding machine structure works, a workpiece is clamped and fixed to the workbench, after the height of the grinding wheel assembly is well controlled through a Z axis and a hydraulic system of the equipment box is started, the working plate slides on the equipment box in a reciprocating mode, and the workpiece is machined through the grinding wheel assembly; and the machining process is cooled, and normal operation of work is guaranteed.

The invention discloses a sentiment classification algorithm combining a double attention mechanism and a Bi-LSTM (Bidirectional Long Short Term Memory), which belongs to a text sentiment analysis technology and comprises the following steps of: preprocessing data; constructing a model; model training; and evaluating and optimizing the model. The double attention mechanism of the algorithm can help the model to understand the position information of the words or sentences in the text and quickly focus on the key information in the text, so that the speed and accuracy of positioning the key information are improved. The input sequence is processed through the bidirectional LSTM, the context representation of each word is extracted, then the self-attention mechanism is used for weighting representation, important sentiment vocabularies are highlighted, and therefore the sentiment analysis accuracy is improved. In addition, the model is not only suitable for aspect-based sentiment analysis, but also suitable for natural language processing tasks such as relation extraction and the like, and the wide application potential of the model is shown.

The invention relates to a self-triggering rapid automatic focusing method of an infrared zoom imaging system, and belongs to the technical field of automatic focusing of the infrared zoom imaging system. According to the method, the scene motion state and the fuzzy degree can be accurately judged, and the focusing operation is automatically triggered if the target area is judged to be out-of-focus fuzzy. Meanwhile, according to the method, automatic focusing control logic with a traversal method as a principle is optimized, rapid moving and positioning of focusing can be achieved, and the overall effects of automatic recognition, automatic triggering and rapid focusing of the automatic focusing process are achieved.

The invention discloses a matching method and system based on a 5G network, Beidou positioning and non-line-of-sight microwave, and relates to the technical field of target signal positioning, and the matching method comprises the steps: building a static and dynamic combined calibration data set through obtaining high-precision geographic position information and real-time signal intensity data, and carrying out the calibration of the calibration data set; and adaptive direction adjustment and rapid focusing of the antenna are supported, and efficient communication and accurate positioning in a complex scene are realized. The calibration matching model is trained based on the calibration data set, so that the precision and adaptability of the model under multiple geographical environments and non-line-of-sight conditions are improved, an efficient antenna positioning mechanism is provided, and the stability and real-time performance of a communication link are guaranteed; the method is particularly suitable for complex environments such as disaster rescue, accident personnel can be quickly and accurately positioned, and rescue efficiency and action reliability are remarkably improved.

The invention discloses a combined multifunctional electric warming oven in the field of household appliances, which comprises a base, a table and a support column, the support column is connected between the base and the table, the interior of the support column is through, the inner bottom of the support column is connected with a connecting disc, the connecting disc is connected with heating pipes, and the heating pipes are divided into a first heating pipe and a second heating pipe. One end of the first heating pipe and one end of the second heating pipe penetrate through the connecting disc to be electrically connected with the circuit board, the first heating pipe vertically upwards reaches the top end of the supporting column, the other end of the first heating pipe is wound by multiple circles and then vertically downwards to be electrically connected with the circuit board, and the second heating pipe is located at the inner bottom end of the supporting column. The other end of the second heating pipe is wound for multiple circles and then electrically connected with the circuit board, and a circuit where the first heating pipe is located and a circuit where the second heating pipe is located are connected in parallel.

This application discloses an electronic device, including: a screen substrate layer, where the screen substrate layer has a first region and a second region, and the first region is a light-transmitting region; a liquid lens, where the liquid lens is disposed in the first region, the liquid lens is in the screen substrate layer, and at least part of the first region is deformable; a driving structure, where the driving structure is disposed on a side of the screen substrate layer, and the driving structure is configured to drive the first region to deform, thereby driving the liquid lens to deform; and an imaging sensor, where the imaging sensor is disposed on a side of the screen substrate layer, and the imaging sensor is disposed corresponding to the liquid lens.

The present application relates to a kind of machine learning-based underground inhomogeneous medium sound field focusing fast correction method, by constructing standard test bottom layer, and by ultrasonic phased array probe emission and acceptance data, and data processing is carried out to data, utilize deep learning model to extract time delay and amplitude attenuation etc. Channel characteristics contained in channel impulse response curve, the real-time correction of phase and amplitude is carried out to the emitted linear frequency modulation pulse signal, realize the space-time fast focusing of sound field in inhomogeneous stratum, improve the repair efficiency of chlorinated hydrocarbon contaminated soil site.

The utility model relates to a device for measuring the precision of a reading microscope, which belongs to the technical field of measurement and detection, solves the technical problem of lack of a special device for detecting the precision of the reading microscope, and comprises a basic platform, a two-dimensional working table, a rotary working table, a stand column and an arm support, the rotary workbench comprises an outer ring, an inner ring, a gear ring, a lamp strip, a slide glass and an adjusting gear shaft, and the glass linear scale is placed above the rotary workbench; the stand column is vertically and upwards arranged on the foundation platform, and the arm frame is installed on the stand column in a sliding mode and comprises a coarse adjustment part and a fine adjustment part. The device is specially used for detecting the precision of the reading microscope, not only can light rays in a visual field be supplemented, but also the glass linear scale can be moved through the two-dimensional workbench and the rotary workbench, and the height of the reading microscope can be adjusted through the arm support, so that the reading microscope and the glass linear scale can be quickly and accurately focused.

The invention discloses a focusing method and system for a laser engraving machine, and the method comprises the steps: lifting a laser in the laser engraving machine to the highest position before the laser engraving machine engraves a to-be-engraved part; the laser rapidly descends from the highest position and acquires an in-place signal; according to the laser engraving machine, local investigation is conducted on the basis of the position of the in-place signal so as to determine the focus position, at the moment, before the laser engraving machine engraves the to-be-engraved part, focusing of the laser is triggered, the laser ascends to the highest position and rapidly descends from the highest position, and therefore initial position investigation is conducted; according to the invention, local investigation is carried out based on the position of the in-place signal, the second position investigation is realized, and the fineness of the local investigation is improved, so that the focus position is conveniently determined in the local investigation, the accuracy of the focus position is ensured, and rapid focusing and accurate focusing of the laser engraving machine are realized.

The utility model relates to a machine vision and industrial detection technology, in particular to a rapid focusing industrial lens structure, an industrial lens, a control system and an industrial vision detection device, wherein the rapid focusing industrial lens structure adopts an electrowetting liquid lens to realize millisecond-level automatic focusing. A fast focusing industrial lens structure is composed of eight glass lenses and an electric control liquid lens, and the nominal value of the optical focal length is 35 mm. Within the object distance range of 225-600mm, the liquid lens realizes millisecond-level automatic focusing by adjusting the curvature of a liquid interface, and the optical back focal length and the mechanical back focal length are kept unchanged. Through actual measurement, the absolute value of lens distortion is less than or equal to 2%, the curvature of field is less than or equal to + / -0.2 mm, the full-field relative illumination is greater than or equal to 95%, and the high-resolution imaging requirements of industrial vision, automatic detection and robot precise positioning scenes can be met.

The present invention discloses a distributed photovoltaic system with a self-cleaning function, which relates to the technical field of photovoltaic equipment, including a house, a photovoltaic panel is arranged on the top of the house, a fixed frame is arranged on the outside of the photovoltaic panel, a water tank is arranged on one side of the house, a sewage channel is fixed to the side wall of the house and arranged above the water tank, an electric cover is arranged on the top of the sewage channel, a drain is embedded near the center of the sewage channel, a first filter plate is arranged on the side wall of the drain, a drain pipe is arranged below the sewage channel and connected to the drain, an air outlet component is arranged below the sewage channel and fixed to the side wall of the house, a pumping component is arranged at one end of the house, a cleaning device is arranged on the side wall of the fixed frame, and the cleaning device includes a moving component arranged on the side wall of the fixed frame. The present invention can better clean the photovoltaic panel in the rainy season and the snowy season through the components arranged.

The application discloses a kind of time difference risk hedging method and device of insurance fund custody, it is related to financial risk control technical field, the method includes: creating virtual sub-account for each user and being bound with corresponding policy account one by one to realize fund physical isolation;When consumption incentive enters the custody special account, it is frozen to corresponding virtual sub-account by calling bank freezing interface and generates directional payment instruction;When daily business ends, generate custody fund flow sheet snapshot, before batch deduction of insurance company next day, pre-reconciliation is carried out to custody fund flow sheet snapshot and to-be-deducted list, and according to result, unfreezing transfer or difference processing is executed;Risk reserve pool is established simultaneously, when unilateral account is abnormal, first pay, complete account adjustment to realize error recovery after finding out reason and clearing up.The application realizes fund physical isolation by virtual sub-account binding and fund freezing directional transfer, effectively hedges the supervision and operation risk caused by fund circulation time difference, and improves the stability of fund custody.

The application discloses an automatic focusing control method, system and medium, the method comprises the following steps: using the maximum spot displacement allowed by the sensor, the total displacement of the spot on the sensor caused by the moving speed of the objective lens along the z-axis and the moving speed of the object to be measured along the x-axis is constrained to screen out the upper limit moving speed allowed by the objective lens; the moving speed of the current objective lens along the z-axis and the defocus amount are obtained, the relationship between the absolute value of the defocus amount and the set defocus amount threshold is judged, if it is not greater than the set defocus amount threshold, the objective lens is driven to move at the second moving speed, if it is greater than the set defocus amount threshold, the objective lens is driven to move at the first moving speed. Through the relationship between the absolute value of the defocus amount of the position of the objective lens and the set defocus amount threshold, the dynamic control of the moving speed of the objective lens, the calculation amount of the focusing speed and the defocus amount is effectively balanced, the accuracy of the defocus amount calculation is improved while realizing the fast focusing.

The utility model discloses a kind of powder coating toning equipment, it is related to powder coating production technical field, including box, the box includes toning jar located upper and lower blanking box located lower, the top of blanking box is provided with connecting port, the toning jar with the blanking box is connected by the connecting port intercommunication, the top of blanking box is further rotatably installed with baffle, the baffle is used to open or close the connecting port, the bottom of blanking box is provided with diversion slope, toning jar is equipped with stirring assembly, the stirring assembly includes with the baffle and the toning jar's side wall the scraping plate of consistent with the flap of consistent, the flap with the scraping plate can rotatably be set in the toning jar. Not only significantly improve the toning effect and production efficiency of powder coating, and in reducing loss, preventing pollution and automation operation aspect, it is outstanding, with good industrial application value and economic benefits.

The invention provides an optical lens and electronic equipment with the same, and the optical lens comprises a first lens which has positive focal power, the first side surface of the first lens is a convex surface, and the second side surface of the first lens is a concave surface; the second lens has negative focal power, and the first side face of the second lens and the second side face of the second lens are both concave faces; the third lens has positive focal power, and the first side surface of the third lens and the second side surface of the third lens are convex surfaces; the fourth lens has positive focal power, and at least one of the first side surface of the fourth lens and the second side surface of the fourth lens is a convex surface; and the fifth lens has focal power, the first side surface of the fifth lens is a convex surface, and the second side surface of the fifth lens is a concave surface. According to the invention, at least one problem of difficulty in miniaturization of an optical lens, poor imaging quality in a dark environment, poor resolution, serious ghost image, and incapability of giving consideration to low cost and stability in the prior art is solved.

The invention discloses a full-spherical autofocus optical lens, which is composed of a negative optical power transmission group G1, a negative optical power transmission group G2, a positive optical power transmission group G3, an aperture stop, a positive optical power transmission group G4, a positive optical power transmission group G5, and a detector component module, which are arranged in sequence from the object side to the image side; the detector component module comprises a filter, a protection window and an image plane, which are arranged in sequence from the object side to the image side. The lens has good imaging characteristics, and the whole system has good transfer functions and image points. The working wavelength is 486-656nm, the telephoto distance is infinity, the close-up distance is 0.3m, the working image plane can reach 9.2mm, the focusing stroke is short, only 0.28mm is needed, and the ability of fast focusing is realized.

The invention is suitable for the technical field of block chain security detection, and provides an exception recognition method, an exception recognition device, equipment, a medium and a program product, the method comprises the following steps: in a target block chain, obtaining a plurality of transactions in a plurality of blocks generated by a first block outlet node within a first time period, each block comprising at least one transaction; according to the object identifiers corresponding to the plurality of transactions, candidate transaction sets corresponding to a target object in the plurality of blocks are obtained, and the target object is an object having transactions in the at least two blocks; according to the difference between each transaction in the i-th candidate transaction set and each transaction in the j-th candidate transaction set, identifying transactions meeting an exception judgment condition, the exception judgment condition being used for representing the difference between transactions under the sandwich attack; and outputting abnormal alarm information under the condition that the transaction meeting the abnormal judgment condition exists. According to the scheme, the cross-block sandwich attack can be accurately and efficiently identified.