448results about How to "Focus" patented technology

The invention discloses a semi-supervised medical image segmentation method based on eye movement guide mixed data enhancement. The method comprises the following steps: collecting fixation position information of a doctor when reading a medical image through eye movement tracking equipment; using a teacher-student network model and adopting a two-stage training mode to train the model; the method comprises the following steps: taking GazeMix as a data enhancement strategy in training, extracting a fixation area in a labeled or unlabeled image, and pasting the fixation area to the background of other unlabeled images to generate a mixed image data pair; in the first stage, a GazeMix data enhancement strategy is combined to pre-train a teacher network; in the second stage, a student network is trained, GazeMix generates diversified data, and meanwhile, a teacher network is pre-trained for pseudo tag generation; multi-scale gaze perception is adopted, and model perception information is extracted on different scales and used for perception loss calculation; and the optimizer iteratively optimizes the student network parameters, and updates the teacher network by using an index moving average method.

The invention relates to an interactive projection optimization method for an exhibition hall, and the method comprises the following steps: before projection is started, sensing the change of ambient light in the exhibition hall through a sensor, and evaluating the illumination conditions of different regions; acquiring a spatial layout in the exhibition hall by using a spatial modeling technology, and identifying wall surface and object shielding information of a projection area; gestures, actions and watching directions of audiences are captured in real time through a camera or infrared induction equipment; dynamically adjusting the projection content according to the action and position of the audience; comprising the following steps: when an audience approaches a certain exhibit, amplifying related projection content or switching to a detailed display mode; collecting behavior data of each audience including stopping time and interaction times of the audience in front of an exhibit; interest points of audiences are predicted through a machine learning model, and projection content related to audience interests is recommended; and adjusting the brightness and color parameters of each projector according to the actual projection area and content of each projection device.

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 discloses a fish body length monitoring method based on computer vision, and relates to the technical field of computer vision. Comprising the steps that data content is acquired, and a YOLOv8 detection model is established; the YOLOv8 detection model is trained; obtaining binocular images of the fish, wherein the binocular images comprise a left image and a right image; calibration is carried out to obtain binocular camera parameters, and binocular correction is carried out on the binocular image of the fish; the trained YOLOv8 detection model identifies the binocular image of the fish, and the head and the tail of the fish are taken as key points; establishing an image coordinate system and a three-dimensional world coordinate system, and correlating a conversion relation between the two; key point detection is carried out on the fish to obtain coordinates of key points in the image coordinate system; re-projecting the key points to a three-dimensional world coordinate system; according to the key points in the three-dimensional world coordinate system, a space straight line is fitted, and the length of the space straight line is the fish body length of the fish. The method can monitor the length of the fish body in real time, is high in accuracy and efficiency, and helps to achieve real-time accurate control of marine ranching operation.

The invention discloses a prostate cancer segmentation method based on multi-parameter magnetic resonance imaging and deep learning, and relates to the technical field of image segmentation, and the method comprises the steps: carrying out the preprocessing of collected multi-parameter magnetic resonance image original data, and dividing the data into a training set, a test set and a verification set; the method comprises the following steps: respectively constructing an attention-unet network used for prostate segmentation and a Multi-attention-unet network used for prostate cancer segmentation; training and selecting an optimal prostate segmentation model by using the verification set; inputting the multi-parameter magnetic resonance images of the test set into the optimal prostate segmentation model to obtain the multi-parameter magnetic resonance images in the set training set for training after the gland optimal prediction mask is obtained, and selecting the optimal prostate cancer segmentation model by using the verification set; and inputting the multi-parameter magnetic resonance image of the test set and the gland optimal prediction mask into the optimal prostate cancer segmentation model to obtain a prostate cancer segmentation result, thereby improving the segmentation precision and robustness.

The invention discloses an improved YOLOv8 chip surface defect detection model construction method and application, and the method comprises the steps: constructing a network structure of an improved YOLOv8 target detection model, which comprises a Backbone module, a Neck module and a Head module; the Backbone module comprises a multi-layer DCNv3 network, a C2f network and an SPPF network, and outputs a first effective feature layer, a second effective feature layer and a third effective feature layer after performing multi-layer convolution processing on the picture; the Neck module adopts a BiFPN bidirectional feature pyramid feature fusion structure, inputs three effective feature layers output by the Backbone module into a ConcatBiFPN network for bidirectional adaptive fusion, and then outputs the three effective feature layers through a CBAM attention mechanism network; the Head module comprises a Deect network structure, and the Deect network structure is connected with a CBAM attention mechanism network and outputs a target detection result; the improved YOLOv8 target detection model structure is used for accurately recognizing the surface defects of the chip, and the adaptability to different types of defects is improved.

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 discloses a hydropower station transformer fault diagnosis algorithm based on multi-channel neural network multi-source heterogeneous data feature fusion, and the method comprises the steps: collecting one-dimensional data, two-dimensional data and other multi-source heterogeneous data related to a transformer, and deleting the irrelevant data through a variance elimination method; the method comprises the following steps of: further screening data by using a Pearson correlation coefficient, classifying the screened data, respectively establishing adaptive models for different types of data, extracting data features, fusing the data features of different dimensions, continuously extracting the fused data features by using a deep residual network, and extracting the fused data features. And finally outputting a diagnosis result. The problems that in current hydropower station transformer fault detection, faults are affected by various parameters, fault data are multi-source heterogeneous data, and an independent fault analysis method is low in accuracy and one-sided in detection range are solved, and the fault diagnosis comprehensiveness and accuracy can be improved.

The invention discloses an intelligent covert communication method and device based on artificial interference and 3D beamforming, and the method specifically comprises the steps: firstly building a multi-antenna covert communication system model based on channel state information and antenna gain network parameters; then, based on a radio frequency signal receiving principle, establishing a signal detection model of the monitoring machine, calculating an omission ratio and a false alarm rate of the monitoring machine, obtaining a minimum error detection probability of the monitoring machine, and establishing an optimization problem of hiding rate maximization; constructing a depth determination strategy gradient (DDPG) neural network; and finally, on the basis of the DDPG neural network, an intelligent covert communication algorithm based on artificial interference and 3D beam forming is adopted, and the covert rate of the covert communication system is optimized. According to the method, the transmission rate of the legal receiver can be maximized under the condition of meeting the concealment limitation, the communication performance and the concealment performance are enhanced, and the intelligent concealed communication requirements in various scenes can be met.

The invention relates to the field of cutting devices, and discloses a noise reduction cutting device for metal part manufacturing, which comprises two bottom rails, a concave frame capable of sliding to adjust the position is arranged at the tops of the two bottom rails, a transverse moving structure is arranged at the top of the concave frame, and an up-down displacement structure is arranged at the lower end of the transverse moving structure. The lower end of the up-down displacement structure is connected with a laser cutting head, precise positioning of the laser cutting head in the horizontal direction can be achieved through sliding fit of a bottom rail and a concave frame and a transverse movement structure at the top of the concave frame, a second motor drives a first gear to be in meshing transmission with teeth, and the transverse movement distance of a motor sliding table can be precisely controlled. Therefore, the laser cutting head can conduct high-precision cutting on the metal piece according to the preset cutting path, good contour precision can be guaranteed when the metal piece in a complex shape is machined, machining errors are effectively reduced, and the product quality is improved.

The invention relates to a focusing regulation and control method and device based on a vortex structure light field penetrating through a large-scale scattering medium, and the method specifically comprises the steps: generating a collimated and expanded laser beam through a laser, carrying out the phase modulation of the laser beam through a spatial light modulator, and collecting a transmission speckle image related to the scattering medium through the combination of an sCMOS camera; and obtaining an optimal phase according to a focusing index quantity fed back by a focusing area by combining a genetic neural network algorithm with the vortex structure light field, and realizing speckle focusing through multiple iterations. Compared with the prior art, a vortex structure light field method is introduced to improve the feedback focusing regulation and control effect, the problem that a traditional feedback modulation algorithm cannot focus a large-scale scattering medium is solved, and the focusing intensity is remarkably superior to that of a lens focusing method and a wavefront shaping focusing method based on Gaussian beams.

The invention provides a double-cycle magnetic focusing system and a traveling wave tube. The double-cycle magnetic focusing system comprises an integrally-formed pole shoe structure and magnetic steel coaxial with the pole shoe structure. The pole shoe structure comprises a channel penetrating in the axial direction of the pole shoe structure and a plurality of periodic annular grooves formed in the side wall of the outer circumferential face of the pole shoe structure. The annular grooves are axially arranged along the pole shoe structure and are coaxial with the channel; the channel is used for accommodating a slow wave circuit; the magnetic steel is annular and is fixed in the annular groove; an annular boss is formed in the annular groove; an annular groove body used for containing the annular boss is formed in the side wall of the inner circumferential face of the magnetic steel. According to the double-cycle magnetic focusing system, the good focusing state of electron beams can be kept, meanwhile, use of a non-magnetic spacer ring is avoided, the process step of multi-welding-seam welding of the pole shoe spacer ring is eliminated fundamentally, the production efficiency is greatly improved, and the air leakage risk is reduced.

The invention belongs to the technical field of seismic data acquisition and processing, and particularly relates to a method and a device for acquiring a seismic diffraction body. The method comprises the following specific steps: preprocessing collected seismic data to obtain seismic shot gather data which can be directly used for migration; eliminating residual noise by using a multi-channel singular spectrum analysis technology to obtain optimized pre-stack gather data; a complete diffracted wave is obtained through forward and reverse transformation of a virtual seismic source and through offset-reflected wave removal-deoffset; and finally, accurately separating weak signals of the diffracted waves under the condition of intersection and tangency of seismic wave fields by researching characteristics that the polarity and the amplitude of the diffracted waves change along with an emergence angle and an azimuth angle, thereby realizing high-resolution diffraction body imaging of the fractured-vuggy reservoir, effectively improving the imaging precision of the karst fractured-vuggy reservoir, and achieving the purpose of fine detection of the fractured-vuggy reservoir. The method is of positive significance to clarify the seismic response of the fracture-vug type reservoir, implement fracture-vug distribution characteristics and guide effective identification of the karst type reservoir and optimization of a favorable target area.

The present invention discloses a machine learning-assisted wafer manufacturing process evaluation and anomaly detection method, comprising: constructing a text prompt library based on domain expert knowledge, including morphological descriptions of all possible defects, and obtaining a text feature vector through a CLIP text encoder; extracting customized image features to obtain original image features and new image features; converting the original image features based on a conversion layer fine-tuned by a small number of samples to obtain converted original image features, and using the converted original image features to calculate similarity with text features to obtain a defect map A F ; The new image features and text features are used to calculate the similarity of the redundant features to obtain the defect map A V ; Defect map A F and A V The final defect segmentation map is obtained by adding them together; based on the SEM defect image, the original image features are used to classify the defects, and the classification results are output. The method of the application can effectively reduce background interference and realize efficient and accurate classification and segmentation of nano-scale wafer surface defects.

The invention relates to a contactor arc extinguish chamber design with an arc-shaped grid sheet structure. The arc extinguishing structure comprises a group of arc-shaped grid sheets arranged in the arc extinguishing chamber and used for lengthening an arc path when an arc is generated and gradually decomposing and cooling the arc through the segmentation effect of the grid sheets so as to accelerate the extinguishing of the arc. The grid sheets are arranged in an arc shape, can effectively guide the arc to expand along the arc direction, prevents the arc from being concentrated at a single point, and reduces the local energy density of the arc. In addition, the arc design can be matched with the magnetic blow-out effect of the permanent magnet, the moving distance of the arc is further increased, and the arc extinguishing efficiency is improved. The arc-shaped grid sheet structure is suitable for high-voltage and large-current direct-current contactors and has the advantages of being simple in structure, good in arc extinguishing effect and high in durability.

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 embodiment of the invention provides a signal transmitting device, electronic equipment and a communication base station, relates to the technical field of wireless communication, and is used for reducing cost and power consumption. The signal transmitting device comprises a first functional device, a second functional device and a filling structure. The first functional device includes at least one feed source. The feed source is used for transmitting electromagnetic signals. The second functional device comprises a plurality of transmission units. The transmission unit is used for changing the physical state of the electromagnetic signal passing through the transmission unit. The physical state of the electromagnetic signal comprises one or more of the following items: amplitude, phase, polarization direction and frequency. Wherein the second functional device is at least partially opposite to the first functional device. The filling structure is located between the first function device and the second function device. Dielectric constants of at least two positions in the filling structure are different.

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 invention relates to the technical field of automatic focusing, in particular to an optical lens automatic focusing method and system. The method comprises the following steps: scanning a three-dimensional environment on a moving path through an optical lens carried on the sweeping robot, and carrying out waste optical environment analysis to obtain waste optical environment data; performing spatial optical axis offset calculation on the waste optical environment data, and performing focus offset coefficient calculation on the waste optical environment data to obtain a waste focus offset coefficient; performing focal plane curvature change analysis according to the waste focus offset coefficient to obtain focal plane curvature change data; according to the focal plane curvature change data, focal plane multi-dimensional calibration processing is carried out, an optical lens focusing strategy is made, and the optical lens focusing strategy is obtained; and performing automatic firmware design on the optical lens focusing strategy to obtain optical lens focusing strategy firmware. According to the method, the automatic focusing technology is optimized, so that the automatic focusing technology is more perfect.

The invention discloses an intelligent water drinking device for a vehicle, a water drinking control method and a vehicle, and the device comprises a water drinking control module which is used for responding to a water drinking control operation, determining a target beverage storage device, and generating a water drinking control instruction according to the target beverage storage device; the image recognition module is used for receiving the water drinking control instruction, dynamically collecting a target detection image of a driver, recognizing and positioning the target detection image and determining a target drinking position; and the drinking water conveying module is used for receiving the drinking water control instruction, determining the target beverage storage device from a plurality of beverage storage devices, and taking out the target beverage from the target beverage storage device and conveying the target beverage to the target drinking position in response to the drinking water operation of a driver aiming at a beverage water outlet. The system can realize intelligent water drinking control, improves the concentration of a driver, improves the driving safety, and can be widely applied to the technical field of automobile equipment management.

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 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 discloses a fire hazard detection method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence. The method comprises the steps of obtaining a target image collected from a power operation site, and performing self-convolution processing on the target image through a multi-head attention self-convolution mechanism to obtain a self-convolution kernel; performing convolution processing on the target image through the self-convolution kernel to obtain a target feature map; extracting feature maps of different levels from the target feature map based on the feature extraction layer; performing feature enhancement on the feature maps of different levels through a CBAM attention mechanism to obtain enhanced feature maps of different levels; performing feature fusion processing on the enhanced feature maps of different levels through a feature fusion layer to obtain fused feature maps of different scales; and performing fire hazard detection on the fused feature maps of different scales through the prediction feature layer. According to the method, a multi-head attention mechanism and a CBAM attention mechanism are newly introduced into a fire hazard detection model, so that the accuracy of fire hazard detection is improved.

The invention discloses a PCB surface defect detection method based on improved YOLOv8, and belongs to the technical field of deep learning and quality detection, and the method comprises the following steps: constructing an improved YOLOv8 model based on an RFCBAMCConv module, an ScConv module and a VoVGSCSPC module; and inputting the PCB into the improved YOLOv8 model to obtain a PCB surface defect detection result.

The invention discloses a cold cathode microfocus X-ray tube based on double electrostatic lenses, which belongs to the technical field of X-ray tubes, and comprises a shell, a window, an anode assembly and a cathode electron gun assembly, the anode assembly comprises an anode target; the cathode electron gun assembly comprises a cathode cylinder, and a cathode, a grid electrode, a first focusing electrode, a second focusing electrode, a third focusing electrode, an electrode core column, an electrode lead and a field emission material which are positioned in the cathode cylinder; the field emission material generates electrons under the action of field emission, the formed electron beams are converged for the first time under the action of the first electrostatic lens to form a first focus, are converged for the second time under the action of the second electrostatic lens to form a second focus, and finally bombard the anode target to generate X-rays. According to the X-ray tube, the convergence and compression capacity of electron beams is improved by forming the double electrostatic lenses, the size of a convergence focus is reduced under the condition that the emission area is not affected, and the resolution ratio of the X-ray tube is improved.

The embodiment of the invention discloses a data display method and device, equipment and a medium, and is applied to the technical field of Internet. The method comprises the steps of displaying a question and answer page; the question and answer page comprises a question display area, an answer card area and a question input area; the question display area is used for displaying first question data, and the answer card area is used for displaying first answer data; in response to an answer search operation for the second question data, updating the question and answer page; wherein the question data in the question display area of the updated question and answer page is switched and displayed from the first question data to the second question data, and the answer data in the answer card area of the updated question and answer page is switched and displayed from the first answer data to the second answer data. By adopting the embodiment of the invention, the efficiency of checking the question and answer data can be improved.