1487results about How to "Improve visibility" patented technology

The invention discloses a construction progress detection system and method based on three-dimensional model and field data fusion, and relates to the technical field of power grid construction engineering. The system comprises a data acquisition module, a data preprocessing module, a data matching module, a data fusion module, a progress detection module and a feedback module, the data matching module matches point cloud data with a panoramic image, a clonal selection algorithm is applied to optimize matching parameters, and on-site three-dimensional basic data is constructed; the data fusion module performs deep fusion on the BIM model and on-site three-dimensional basic data, and constructs a three-dimensional fusion model for construction progress detection by using a GeoBIM technology; and the progress detection module compares the real-time acquired panoramic image of the construction site with the three-dimensional fusion model frame by frame, and automatically detects the construction progress, so that efficient acquisition, accurate processing and real-time monitoring of construction site data are realized, and the efficiency and decision ability of construction management are remarkably improved through automatic progress detection and real-time feedback.

The invention discloses a method for identifying impurities and bubbles in a wine bottle based on multi-feature comprehensive judgment, and belongs to the technical field of image processing and computer vision, and the method comprises the steps: employing a high-resolution industrial camera to be combined with an LED light source, and continuously shooting multiple frames of images of the wine bottle under the consistent shooting angle and illumination condition; carrying out the preprocessing of the collected image through employing a self-adaptive histogram equalization and Gaussian blur method; extracting the edges of impurities and bubbles in the wine bottle on the image by adopting a Canny edge detection algorithm to obtain an edge image; segmenting the edge image into a plurality of target areas by using a contour detection technology, and extracting possible bubble and impurity areas from the edge image; extracting target area features including circularity, gray average, gray uniformity, texture features and color space; and according to the extracted features, bubbles and impurities are distinguished by applying a comprehensive judgment rule. According to the method, the bubbles and the impurities are comprehensively judged by adopting multi-feature combination, so that the accuracy and the robustness of detection are greatly improved.

The invention relates to the field of image enhancement, in particular to an image enhancement method and system of a vehicle-mounted image sensor. The method comprises the following steps: acquiring driving record images of a vehicle at multiple angles; dynamic scene self-adaptive exposure adjustment is carried out on the driving record images of the vehicle at the multiple angles, so that multiple self-adaptive exposure driving images are obtained; carrying out deep network noise identification on the plurality of adaptive exposure driving images, and carrying out dynamic filtering and noise reduction on sub-images one by one so as to generate a plurality of filtering and noise reduction optimized images; carrying out image texture analysis on the plurality of exposure sub-images, and carrying out texture distortion reconstruction to construct a plurality of texture reconstruction images; and road object visual identification is carried out on the plurality of texture reconstruction images, and adaptive contrast enhancement processing is carried out, so that a plurality of detail contrast enhancement images are constructed. According to the invention, a high-definition and stable panoramic vehicle-mounted image is realized.

The invention relates to the technical field of image analysis and processing, in particular to a high-precision detection method based on image analysis, which comprises the following steps: acquiring an original image to be detected, performing preprocessing operation on original image data, including normalization processing, de-noising processing and brightness adjustment, performing multi-scale feature conversion on the preprocessed image to generate feature matrixes of different scales, calculating the correlation degree between the feature matrixes through a correlation self-adaptive fusion module, and generating a fusion feature map; calculating a significance score of each pixel point in the fused feature map, generating an abnormal score matrix, and determining a significant abnormal region in combination with the deviation matrix; original image information is decomposed into different scales through a multi-scale feature conversion module, local and global abnormal features of an image are captured by using comprehensive information of feature matrixes of different scales, information redundancy among the features of the scales is eliminated, and the identification degree and the detection accuracy of an abnormal region are improved.

The invention belongs to the technical field of computer vision, and particularly relates to a medical image classification method based on priori knowledge enhanced masks and alignment modeling. Comprising the following steps: acquiring an image text pair data set and preprocessing the image text pair data set to obtain a preprocessed image text pair data set; performing preliminary training on a visual encoder and a text encoder according to the preprocessed image text pair data set to obtain a preliminarily trained visual encoder and a preliminarily trained text encoder; training the visual encoder for the second time in combination with the text encoder to obtain a trained visual encoder; classifying the medical images by adopting the trained visual encoder; the model provided by the invention can be better generalized to various downstream medical image recognition tasks, and the accuracy of the downstream medical image recognition tasks is improved.

The invention discloses a video image dithering processing method and system based on a rescue scene, and relates to the technical field of video image processing. In order to solve the problems that in the prior art, the jitter compensation effect in a complex dynamic scene is poor, the processing precision cannot meet the requirement of a high-intensity rescue scene, and in a low-light or smog environment, the definition of an image is difficult to effectively improve, so that the visibility of a video picture is insufficient in an extreme rescue scene. Through the steps of video jitter detection, video stream correction, edge processing and video data transmission, the visibility of a video picture in an extreme rescue scene is effectively improved, jitter in video stream data can be accurately identified and corrected, edge distortion generated by jitter compensation is eliminated through edge processing, and the video jitter compensation accuracy is improved. According to the method, the image definition in a low-light environment is remarkably improved through brightness compensation, contrast optimization and color correction processing, the stability and definition of video images in a rescue scene are improved, and more reliable video support is provided for high-intensity rescue actions.

The invention relates to the technical field of logistics supply chains, and discloses an intelligent logistics supply chain management method and system, and the method comprises the steps: obtaining the order data of a supply chain in real time; order analysis is carried out according to the receiving information, a delivery task is generated based on an order analysis result, and a first delivery path of the current delivery task is determined; planning an optimal path of supply chain order logistics distribution; inventory information of the supply chain is monitored and updated in real time, and the inventory capacity is dynamically adjusted. According to the method, order division can be realized, refined order management can be realized, a plurality of order sets which can be delivered once in a single pass can be determined, delivery order delivery tasks meeting conditions can be determined through the delivery target model, the optimal path can be dynamically adjusted, the delivery efficiency can be improved to the greatest extent, the delivery time can be shortened, and the logistics cost can be reduced. The inventory information is monitored in real time, the visibility of the inventory can be improved, and the inventory can be managed more scientifically.

The invention relates to the technical field of spine deformation recognition, in particular to a spine deformation recognition method and system based on image recognition, and the method comprises the following steps: S1, data collection and preprocessing: obtaining multi-view and multi-time-point spine image data of the spine of a patient; s2, soft tissue shielding correction: automatically identifying and correcting interference of the soft tissue on the spine image data; s3, dynamic change prediction of the spine: performing dynamic change prediction on the spine image data subjected to soft tissue shielding correction; and S4, deformation judgment and result output: judging the deformation condition, the deformation type and the severity of the spine, and generating a visual report containing the spine deformation condition and future change prediction. According to the method, the noise in the image is effectively removed, the definition of the spine structure is enhanced, and meanwhile, the interference problem of soft tissue on the spine image is solved.

The PEEK medical composite catheter comprises an inner layer, a middle reinforcing layer and an outer layer which are sequentially arranged from inside to outside, and the inner layer, the middle reinforcing layer and the outer layer are all made of PEEK materials; the middle reinforcing layer is formed by weaving PEEK lines in a staggered mode, connecting gaps are formed between the PEEK lines, developing units are embedded in the connecting gaps, and the developing units are arranged according to a limited path and form a specified developing graph, so that the developing effect is greatly improved, and the safety of the catheter in the using process is guaranteed.

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 discloses an underwater target detection method based on improved YOLOv8, and relates to the technical field of underwater biological detection, and the method comprises the following steps: converting Conv in a C2f bottleneck into DCNv2 variable row convolution, adding an ECA attention mechanism to obtain a C2fDCNv2 ECA module, and carrying out the ECA attention mechanism to obtain a C2fDCNv2 ECA module; a bidirectional feature pyramid network is combined with bidirectional path enhancement and weighted fusion features to obtain an improved neck feature fusion module, and an SIou loss function, a C2fDCNv2ECA module and the improved neck feature fusion module are embedded into a YOLOv8n model to obtain an improved YOLOv8n model. Through image preprocessing, an improved network architecture, feature fusion optimization and improvement of a loss function, the performance and robustness of underwater target detection can be effectively improved, feature extraction is enhanced, the precision of target detection is improved, the brightness and contrast of an image are improved, the definition and visibility of the image are improved, and the observation efficiency is improved. And the possibility of subsequent misjudgment and missed judgment is reduced.

The invention relates to the technical field of data processing, in particular to a geothermal resource exploration area three-dimensional geologic model construction method and system, and the method comprises the steps: obtaining the neighborhood density similarity of each point cloud microspace according to the difference of the point cloud density values between each point cloud microspace and the surrounding point cloud microspaces; obtaining the interpolation necessity of each point cloud microspace according to the number of the point cloud data in each point cloud microspace and the neighborhood density similarity; screening all the point cloud microspaces according to the interpolation necessity to obtain all microspaces to be interpolated; and performing interpolation operation on all the to-be-interpolated microspaces to obtain an enhanced three-dimensional geologic model of the geothermal resource exploration area. According to the method, the problem of missing or non-uniform distribution of the point cloud data caused by environmental influence is eliminated, and the visibility in the three-dimensional geologic model construction process is improved.

The invention provides a pipeline defect assessment method and system based on multi-source data fusion, and the method comprises the following steps: collecting the data of the operation state of a pipeline body through a related collection device, and marking the state and fault type of the pipeline, so as to construct a training set and a test set; and preprocessing the static data of the pipeline, wherein the preprocessing comprises data cleaning, standardization and feature extraction. And optimizing the extreme learning machine by using a bird flock algorithm, analyzing static data and evaluating pipeline defects. Preprocessing the image data of the pipeline body, wherein the preprocessing comprises image conversion, enhancement and denoising; and evaluating the circumferential weld defect based on the pre-trained VGG16 model. And performing decision-level fusion on a defect evaluation conclusion obtained by static data analysis and circumferential weld image analysis by using a D-S evidence reasoning algorithm to obtain a final evaluation result. The method effectively improves the accuracy and reliability of pipeline defect evaluation, and has wide application prospects and important practical value.

The invention discloses an interface display method and device in a music application program, equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: displaying a vertical-screen song playing interface, wherein vertical-screen song playing information of a first song is displayed in the vertical-screen song playing interface; in response to a switching operation for the song playing interface, switching the song playing interface in a vertical screen form into a song playing interface in a horizontal screen form; the song playing information of the first song in the horizontal screen form is displayed in the song playing interface in the horizontal screen form, and the song playing information comprises at least one of a song cover image, song basic information, a song function control and a song background image. According to the method, the song playing information in the landscape form is displayed, so that the song playing information is not limited by the screen width any more, the picture ratio of the basic song information is increased, and the display degree of the basic song information is improved.

The invention discloses a mobile phone shell detection device, which relates to the field of mobile phone shell detection, and comprises a clamping mechanism for fixing a mobile phone shell, a visual detection device arranged above the clamping mechanism, and a jacking piece arranged below the clamping mechanism, the jacking piece can move in the length direction or the width direction of the mobile phone shell within a first distance range, the jacking piece extrudes the mobile phone shell to enable the extruded portion of the mobile phone shell to arch upwards when moving into a second distance range, the second distance range is within the first distance range, and the driving mechanism is used for driving the jacking piece to move. When the jacking piece moves to the stroke tail end of the first distance range, the jacking piece is far away from the surface of the mobile phone shell and has a gap; according to the mobile phone shell detection device, through the cooperation of the visual detection device and the jacking piece, the mobile phone shell is arched in a detection area under the movement and extrusion of the jacking piece, so that the visibility of surface defects is enhanced, and the detection precision is further improved.

The invention provides a special clinical stomatoscope for the stomatology department, and belongs to the field of medical instruments. Comprising a holding rod, a mirror frame is arranged at the top end of the holding rod, a mouth mirror body is fixedly connected to the inner wall of the mirror frame, a direction adjusting assembly used for adjusting the direction of the mouth mirror body is arranged on the holding rod, and an angle adjusting assembly used for adjusting the angle of the mouth mirror body is arranged on the holding rod. When the stomatoscope body is rotated to an angle at which the oral cavity of the patient can be observed conveniently, the handle is loosened, the first spring rebounds, the sliding block drives the connecting plate, and the stomatoscope body is rotated to an angle at which the oral cavity of the patient can be observed conveniently; a connecting plate drives a bolt to be inserted into a slot to limit a first rack plate, and an angle adjusting assembly is matched, so that the oral cavity of the patient can be examined in multiple directions, and the oral cavity health condition of the patient can be known more comprehensively.

The invention discloses a fine-grained representation remote sensing image interpretation method and system based on Shearlet priori knowledge. The method comprises the following steps: performing high-frequency sub-band information extraction on preprocessed remote sensing image data by adopting Shearlet transformation; a Laplacian pyramid filter and a shearlet filter are used for obtaining a high-frequency assembly and multidirectional high-frequency sub-bands obtained after the high-frequency assembly is split in the direction; sub-bands of the same level are adaptively fused through a space attention mechanism, and a detail-enhanced feature map is generated; carrying out multi-scale and multi-level weighted fusion on high-frequency component prior extracted through Shearlet transformation and a deep residual block obtained by a deep residual network; outputting an accurate remote sensing image analysis result by using the trained detail enhancement backbone and different detection heads of a plurality of tasks; through combination of Shearlet transformation and an advanced deep learning architecture, the accuracy and efficiency of remote sensing image interpretation are significantly improved, good model generalization ability and practicability are maintained, and it is predicted that remote sensing image processing will be promoted to develop towards a more intelligent and automatic direction.

The invention relates to the technical field of underwater image enhancement processing, in particular to a pyramid network-based underwater image dynamic enhancement method and application, and the method comprises the steps: decomposing an input underwater image into layered image groups; using a deterministic color mapping network to convert the low-frequency layer input image into a low-frequency layer output image; using a double convolution attention module to obtain enhanced input features; using a packet expansion feedforward network to obtain a pixel-by-pixel mask; performing operation on the enhanced input features and step-by-step pixel masks to obtain high-frequency components; and reconstructing the low-frequency layer output image and the high-frequency component by using a Laplacian pyramid network to obtain an enhanced output underwater image. In conclusion, the underwater image can be dynamically enhanced, the adaptability is high, the method is suitable for various water bodies, color distortion can be effectively corrected, noise introduction is restrained, more image details can be reserved, and the underwater image has better visibility and higher recognition degree.

The invention provides an editable and self-closed-loop dynamic OLED automobile tail light control system and method, and belongs to the technical field of automobile tail light intelligent control. The system comprises a vehicle speed detection module used for acquiring speed information of a vehicle in real time; the photoelectric sensing module is used for monitoring the illumination intensity of ambient light around the vehicle in real time; the image editing equipment is used for acquiring user-defined image and / or character information and analyzing the image and / or character information into array data; the control module is used for generating a brightness control instruction corresponding to the illumination intensity through the illumination intensity; generating a pattern display instruction corresponding to the speed information through the speed information of the vehicle; analyzing and recombining the array data and then generating an image driving control instruction corresponding to the array data; and the OLED automobile tail lamp driving module is used for adjusting the display brightness of the OLED automobile tail lamp based on the brightness control instruction and controlling the OLED automobile tail lamp to display patterns and / or characters based on the pattern display instruction and / or the image driving control instruction. And the real-time updating of the display effect of the OLED tail lamp is realized.

The invention discloses a method, a device and equipment for determining the state of charge of a lithium battery, and relates to the technical field of battery modeling. Based on a lithium battery relaxation time distribution theory, the method comprises the following steps: firstly, accurately obtaining a relaxation time distribution parameter and a distribution function of the lithium battery by using a genetic optimization algorithm; wherein the genetic algorithm takes the minimum error index and smooth index as an optimization target, considers optimization of regularization parameters and primary function width at the same time, and determines lithium battery relaxation time distribution based on the optimal regularization parameters and primary functions; two indexes are used to respectively avoid the problems of unsmooth false peaks caused by over-fitting and too large errors caused by under-fitting, so that the obtained relaxation time distribution result has characteristic peaks and does not have the false peaks, and then a characteristic peak parameter rapid extraction technology is provided. And the charge state of the lithium battery is measured by using the characteristic value of the target characteristic peak most related to the charge state of the lithium battery, so that a more accurate prediction result of the charge state of the lithium battery is obtained.

The invention provides a sealing sheet and a display, which are excellent in embedding property and seamless property when an optical semiconductor element is sealed, and are also excellent in embedding property and seamless property even when the sealing sheet is applied to a display in which a micro LED is used as a light source. A sealing sheet (1) for sealing an optical semiconductor element (5), in which a protective film and a resin composition layer (2) are arranged in this order, the resin composition layer (2) contains 5.3-48.2 parts by mass of metal oxide particles (B) per 100 parts by mass of the total of a resin (A), a monomer, and an oligomer, and the number average primary particle diameter of the metal oxide particles (B) is 5-50 nm. The refractive index of the resin composition layer (2) is 1.45 to 1.65.

The invention belongs to the technical field of geological engineering construction, and discloses a method and device for measuring the joint fissure connectivity rate of a tunnel surrounding rock tunnel face and a storage medium. The problems that in the prior art, a joint fissure recognition technology based on image processing is low in joint fissure recognition accuracy and analysis efficiency, the fissure connectivity rate cannot be accurately calculated, and automatic and standardized processes are lacked are solved. According to the scheme, firstly, a tunnel face image is segmented, and a tunnel face area image is extracted and preprocessed; dividing the preprocessed tunnel face area image, extracting fractures, and splicing the extracted fractures into a complete tunnel face joint fracture image according to a topological relation; then, carrying out vector measurement on fractures in the tunnel face joint fissure graph, grouping the fractures according to inclination angles through a clustering algorithm, and removing interference fractures; and finally, by setting a virtual measuring line and adopting a shortest path method, calculating the fracture connectivity rate on the strip where the virtual measuring line is located under the condition of different strip widths.

The invention relates to the technical field of three-dimensional measurement, in particular to a linear structured light bearing bush and gear three-dimensional measurement method and system, and the method comprises the following steps: 1, data collection: employing a CCD camera arranged on a measurement platform to shoot laser images containing laser line patterns from different angles; step 2, image processing: extracting feature points in the laser image by using a computer vision algorithm; and 3, three-dimensional reconstruction: based on the known CCD camera parameters and the position change of the feature points on the to-be-measured object, obtaining three-dimensional data of the to-be-measured object by using a space coordinate conversion technology. And step 4, error correction: carrying out error analysis on the obtained three-dimensional data. And step 5, result output: outputting final three-dimensional measurement data of the to-be-measured object based on the corrected result. Through the automatic and intelligent measurement means, the measurement period can be further shortened, and the production efficiency is improved.

The utility model relates to the technical field of traffic management, in particular to a bidirectional early warning device with an adjustable display surface for an intersection without traffic lights, which comprises a square upright post, a first early warning information display screen and a second early warning information display screen. The square stand column is used for being installed on the roadside of an intersection of a main road and a branch road. The first early warning information display screen is arranged on the first side face of the square stand column so that the display face of the first early warning information display screen can face the vehicle coming direction of the main road. The second early warning information display screen is hinged to the second side face, adjacent to the first side face, of the square stand column, the hinge axis of the second early warning information display screen extends in the vertical direction, and the second early warning information display screen can be opened inwards or outwards based on the second side face of the square stand column so that the second early warning information display screen can face the vehicle coming direction of the branch road. Even if the included angle deviation of the intersecting roads is large, the vehicle driving direction of the branch road can still be kept basically perpendicular to the second early warning information display screen, and the visual recognition effect of the warning information is greatly improved.

The invention discloses a GIS equipment electromechanical state and typical defect simulation test platform and a GIS equipment electromechanical state and typical defect simulation test method, relates to the field of electrical equipment electromechanical state and typical defect simulation tests, and solves the problem of simulation and research of electromechanical states and defect characteristics of gas insulated switchgear (GIS) under different operation conditions. Wherein the test platform comprises an AC voltage source, a GIS scaling model, a vibration table and an excitation power amplifier, defects are preset in the GIS scaling model, the GIS scaling model is provided with a transparent observation window used for observing the internal condition of the model, and the GIS scaling model is fixedly installed on the vibration table; an alternating-current voltage source is loaded on a GIS scaling model bus to simulate distribution of an electric field in a GIS, and vibration is applied to the GIS scaling model through a vibration table and an excitation power amplifier to simulate GIS vibration caused by current.

The invention relates to the technical field of time delay imaging, in particular to a scintillator capable of being used for time delay imaging, a preparation method and application. The invention aims to solve the technical problems of the traditional time delay imaging scintillator in the aspects of use environment, delay time and imaging resolution, and realize high-efficiency, high-stability, long-time delay and high-spatial resolution imaging. According to the main scheme, the coated lanthanum element doped fluoride nanocrystalline scintillator is characterized in that a coating layer comprises inorganic glass, organic glass and silicon dioxide, the lanthanum element comprises any one of Tb, Eu, Er, Ce, Ce / Tb, Gd / Tb and Ce / Tb / Gd, and fluoride nanocrystalline is any one of Pb4Lu3F17, Pb4Lu3F17, Pb4Lu3F17, Na5Lu9F32, Cs0. 02Na0. 98LuF4 and Ba2LaF7. According to the invention, not only is long-time imaging after X-ray radiation realized, but also high-spatial-resolution imaging after time delay is realized, and the method is suitable for the fields of industrial detection, medical imaging and the like.

The invention provides multi-section wastewater treatment equipment for photocatalytic degradation, and belongs to the technical field of wastewater treatment. Comprising a pretreatment device, a photocatalysis device, a separation and recovery device and a post-treatment device. By arranging the filter cartridge, the deformation ring, the conical filter screen, the arc-shaped top plate, an elastic sheet and a baffle ring II, after wastewater flows in from the water inlet, the arc-shaped top plate effectively disperses water flow, impurities are prevented from directly impacting the top of the conical filter screen to cause decomposition, and meanwhile, the arc-shaped top plate and the conical filter screen are driven to move downwards, so that the deformation ring forms a buffer inclined plane to further absorb impact energy; the filtering precision is greatly improved through double buffering; the deformation ring is linked with the baffle ring II through the connecting rope II, when wastewater flows in, the discharge hole is closed, impurity circulation is prevented, wastewater visibility is improved, photocatalytic degradation is enhanced, when the wastewater stops flowing in, the elastic piece resets the deformation ring, the baffle ring II is driven to open the discharge hole so that impurities can be discharged along with the treated wastewater, and filtering precision and photocatalytic degradation efficiency are improved; stable and efficient operation of the system is guaranteed.

The invention belongs to the technical field of digital economy monitoring, and particularly relates to a digital economy monitoring method based on a block chain technology, and the method comprises the following steps: 1, constructing a digital economy co-creation platform based on a block chain, and enabling the digital economy co-creation platform to comprise a plurality of participants and a supervisor; 2, a plurality of participants jointly generate values through resource integration in the value co-creation process based on the digital economic co-creation platform, and a value network structure is constructed based on a block chain; 3, in the value network structure, dividing a value co-creation process into a value resource selection stage, a value resource acquisition stage and a value win-win stage through analysis and function definition of a resource subject; and step 4, the supervisor supervises whether the establishment process of the digital economic co-creation platform and the value co-creation process of the plurality of participants based on the digital economic co-creation platform are abnormal in real time. According to the invention, all participants share innovative resources, and the resource sharing safety performance is high.

The invention relates to the technical field of image data processing, in particular to an interactive road sign system which comprises a data acquisition module, a determination module, an adjustment module, an adjustment module, a judgment module, a drawing module and a correction module. Through real-time monitoring and dynamic adjustment, various environmental changes can be effectively handled, and it is ensured that road sign information is always clearly visible under different weather, visibility and driving conditions. The system automatically adjusts the display contrast and definition of the road sign by comprehensively considering water mist, particle diameter, facial definition and real-time position, ensures that the target can accurately receive the road sign information under the condition of severe weather such as haze and rainwater or limited sight distance, and improves the accuracy of the target. The system also analyzes the association between the road sign display effect and the visibility by drawing a change curve, further optimizes the display setting, and effectively solves the problem that the display effect of the system is unstable in a complex environment due to strong light source dependence.

The invention relates to the technical field of reflective coatings, in particular to a facade reflective coating formula, a preparation method and a preparation device.The facade reflective coating formula is prepared from 30-40 parts of epoxy resin, 15-20 parts of glass beads, 10-12 parts of ceramic beads, 6-8 parts of titanium dioxide, 1-2 parts of a polycarboxylate dispersing agent, 0.5-1 part of an organic silicon defoaming agent, 1-2 parts of a hydroxyethyl cellulose thickening agent and 1-2 parts of a silane coupling agent. The facade coating can firmly bond glass bead and ceramic bead reflective materials to form a compact paint film, the reflective characteristic is excellent, the boundary of an object can be clearly marked at night, and the visibility and safety of the object are greatly improved.