60 results about "Color-coding" patented technology

The invention provides an intelligent construction safety monitoring system and method for a U-shaped stacked box rigid frame aqueduct, and the system is suitable for the U-shaped stacked box rigid frame aqueduct for hanging basket construction, and comprises a sensing layer which is used for collecting the stress state of a hanging basket; the environment monitoring unit is a micro weather station mounted on an upper cross beam of the hanging basket; the posture monitoring unit is used for monitoring the lateral and longitudinal inclination angles of the hanging basket in real time; the execution layer comprises a catenary anti-overturning device arranged behind the rear anchor point of the hanging basket, the catenary anti-overturning device comprises a hinged steel chain, and the hinged steel chain and the foundation anchoring end form a catenary structure; the control layer comprises an edge computing terminal and a threshold library in which early warning thresholds are stored, and the edge computing terminal is used for receiving the data of the sensing layer in real time, performing multi-source data fusion analysis and judging whether an early warning or emergency mechanism is triggered or not according to an analysis result; and the interaction layer comprises a visual platform, and the visual platform is used for carrying out fusion display on the monitoring data and the BIM model and presenting the risk level in a color coding mode.

A storage container device is provided. The device is comprised of a storage container, designed for organization and versatility through features such as color-coded components, nesting capabilities, and enhanced usability. The device comprises a durable, lightweight body and matching lids made of resilient materials like HDPE or polypropylene, ensuring resistance to wear and deformation. Available in various shapes and sizes, the containers nest within one another to optimize storage, aided by interlocking fasteners on the lids that secure multiple units compactly. Each size is identified through a distinct color-coding system for easy lid-body pairing, enhancing usability. Additional features include vents for airflow, with options for adjustability and filtering, and molded handles for convenient transport. The invention further includes a method for selecting, nesting, and storing the devices, ensuring practicality in household or commercial applications.

The application discloses a kind of medical mid-infrared 1720nm pulsed fiber lasers, it is related to laser medical technical field, including the following steps: acquisition pulsed fiber laser data, respectively calculate thulium ion concentration uniformity index, laser energy intensity and each small target tissue ablation area ablation index, and then construct the thermal map matrix of each small thulium-doped fiber section, and draw the anti-fake color coding diagram of each target tissue ablation area, the spectral analysis technique in the method, multiple linear regression algorithm and convolution neural network algorithm are closely combined with modern information technology, the degree of uniformity of thulium ion concentration distribution and target tissue ablation degree are achieved in real time and comprehensive monitoring, so that the monitored data becomes more accurate index under the same conditions, significantly enhance the intelligent degree of medical mid-infrared 1720n pulsed fiber laser in use process.

The application discloses a kind of based on three-dimensional visualization dynamic segmentation double integral teaching demonstration software algorithm, belong to computer-aided instruction technical field.The system includes mathematical modeling module, grid segmentation module, geometry construction module, rendering engine module, calculation analysis module, error visualization module, animation generation module and user interaction module.System is through gradual regional division strategy, the long rectangular cuboid column unit of the rectangular domain on the dynamic segmentation of the curved top cylinder corresponding to the integral function, using transparent curved surface rendering and entity cylinder color coding technology, intuitively show the riemann and approximation process of double integral.System supports multi-angle view angle animation synthesis, real-time calculation and display approximate volume, accurate integral value and error index, solve the technical problem that double integral concept is abstract and difficult to understand in traditional teaching, lack intuitive cognitive tool, significantly improve the visualization effect of mathematical teaching and student's learning efficiency.

The invention discloses a POCT (Point of Care Testing) microfluidic detection chip carrying a photonic crystal structure color coding microcarrier and a preparation method of the POCT microfluidic detection chip. The POCT chip comprises a high-definition and high-transparency cover glass used for packaging and visual detection and a chip main body used for placing the photonic crystal structure color coding microcarrier. And the liquid inlets on the chip main body are uniformly dispersed into the reaction chamber of the chip through the multi-stage flow channel. The reaction chamber comprises a plurality of limiting columns which can separate different microcarriers, so that each microcarrier can be in uniform contact with reaction liquid. After the microcarrier is placed on the chip main body in a random mode, the chip main body is packaged by cover glass and biological glue. Due to the fact that the whole chip is subjected to hydrophilic treatment, when an extremely small amount of to-be-detected sample is dropped into the liquid inlet, reaction liquid can rapidly infiltrate the interior of the whole chip and react with the coding microcarrier in the chip. And after incubation for half an hour, washing the residual sample with a buffer solution, and finally reading the result. According to the invention, trace unknown samples can be detected in a short time, and development of on-site rapid detection can be promoted.

This invention discloses a method, device, fusion map, and storage medium for generating a safety risk emergency evacuation fusion map. The method includes acquiring multiple safety risk factors contained in a target floor, a functional zoning plan of the target floor, and multiple emergency evacuation factors contained in the target floor; assessing the risk level of each safety risk factor to obtain its actual risk level; determining the target color for each safety risk factor based on its actual risk level and the correspondence between risk level and color coding; and drawing the target colors and emergency evacuation factors on the functional zoning plan based on a first correspondence, a second correspondence, and preset drawing rules to obtain the safety risk emergency evacuation fusion map. This application significantly improves emergency response efficiency, achieving an upgrade from scattered data to integrated, visualized, and intelligent management.

The application relates to a non-intrusive abnormal load behavior monitoring method, an electronic device and a storage medium, the method comprising the following steps: acquiring real-time monitoring data of a non-intrusive load monitoring device and denoising; the monitoring data comprises total voltage and total current data of preselected power circuits monitored by the non-intrusive load monitoring device; for the denoised monitoring data, monitoring data with a load state conversion is taken as effective monitoring data; based on a pre-constructed power strategy, color coding processing is performed on the effective monitoring data, and a V-I trajectory image corresponding to total voltage and total current of each power circuit is obtained; the V-I trajectory image is input into a trained conditional generative adversarial network, and whether each power circuit has abnormal load is judged based on a generated feature reconstruction image. The method has the beneficial effects that the technical problems of low expansibility, low flexibility and high monitoring error of the prior art non-intrusive load monitoring can be solved.

The present disclosure provides a non-transitory computer readable medium having instructions stored thereon that, when executed by a processing device, cause the processing device to carry out an operation comprising: ingesting metadata associated with a first song including a plurality of first song lyrics; dividing the plurality of first song lyrics into corresponding lyric blocks; encoding, via a phonetic color-number pairing, each lyric block by determining a first consonantal sound of each lyric, associating the first consonantal sound with a predetermined color-number pairing, and color-coding a plurality of corresponding lyric blocks based on the predetermined color-number pairing; generating structured grids comprised of the corresponding color-coded lyric blocks and displaying the structured grids via client devices.

The application provides a kind of triple exposure multi-terminal line net wiring method and system based on color coding, it is related to circuit wiring technical field, method includes: obtaining the information to be wired of chip;According to the chip information and the element position information, determine wiring diagram node, construct the wiring diagram structure of the area to be wired;According to the element position information and the wiring design constraint information, set the wiring connection edge weight in the wiring diagram structure under different mask state;Initialize the color coding of the wiring diagram node;Set the color coding change rule in line net search process and line net update process;Combining the color coding change rule and the multi-terminal line net connection relationship information, carry out wiring search to multi-terminal line net, obtain final wiring scheme.The application can effectively improve the layout rate of triple exposure multi-terminal line net wiring and reduce the wiring running time, improve the wiring efficiency.

The present invention provides a multilingual, AI-powered healthcare system integrating a personalized medical assistant, real-time clinical decision support, and closed-loop device control. The system ingests multimodal patient-generated and institutional data, applies advanced language-model-driven reasoning for clinical insights and triage, and supports regulated, auditable actuation of medical devices. Key features include multilingual overlays, role- and jurisdiction-specific visualization, co-signature enforcement, audit traceability, and seamless integration with healthcare infrastructure. A “Multilingual Overlay” is a dynamically generated display layer that the system composites in real-time from clinical text, icons, and color-coded indicators, automatically adapting its language, reading direction, terminology, visual density, and role-based data visibility to the preferences, locale, and device form-factor of each authenticated viewer. The architecture supports provider- and patient-facing use cases, agentic AI for autonomous yet regulated decision-making, and robust safety and compliance features.

The present application relates to a method and apparatus for identifying a location of a fault in a grounding cable. The present disclosure provides a method of detecting a fault in a grounding cable. The method includes monitoring a grounding cable passing through equipment of a substation, wherein the equipment is connected with a device. Further, detecting a fault in the grounding cable is based on the monitoring of the grounding cable. Further, upon detecting the fault, the method performs at least one of the following: generating an alarm in the substation through the device and generating a color-coded signal in a visual indicator, wherein the visual indicator activates a color-coded signal indicating the fault on the equipment of the substation based on the detected fault; and transmitting a notification message to a control center.

A computer-implemented method for measuring the geometry of a guitar component is disclosed. A reference three-dimensional model representing a target geometry of the component is provided. The component is placed on a measurement station and scanned using a non-contact optical profilometer to obtain a point cloud. Points not corresponding to the component are filtered. Deviation values are computed by comparing the filtered point cloud with the reference model and are displayed in graphical form including colour-coded visualisation. Deviations affecting sound quality, playability or ergonomic characteristics are identified, and corrective operations are performed on the component based on the identified deviations. The method supports precise geometric evaluation and iterative correction during guitar manufacturing and setup.

The application discloses a kind of super capacity invisible two-dimensional code technology based on true color multicolor halftone dot array.The technology takes two-dimensional code information capacity and its anti-fake application as target, based on printed true color CMYK corresponding quaternary encoding rule, through self-defined color coding technology, original information is modulated to generate multicolor halftone dot array two-dimensional code.The code takes single printing dot as encoding unit, collects its microscopic image to obtain the dot array distribution data of single dot, and decoding can be realized.Compared with prior art, the super capacity invisible two-dimensional code of the application has large encoding density, high identification reliability, and has the functional advantages of super capacity, invisible anti-fake, and has very high actual market value in e-commerce, printing and packaging, product traceability and other fields.

A computer-implemented method includes receiving an image of an area, identifying an item in the area, determining an intended color of the item according to a predefined color code, analyzing the image for determining if the intended color of the item is diminished on and / or absent from the item, and outputting a mixed reality (MR) image of the area in which the intended color is overlayed on the item in response to determining that the intended color of the item is diminished and / or absent.

The application provides an optical anti-counterfeiting chip and a preparation method thereof, and relates to the technical field of optical anti-counterfeiting chip preparation. The chip comprises a flexible substrate, a nanostructure formed by patterning on the flexible substrate, and a high-refractive-index material film obtained by conformal film deposition technology and covering the surface of the flexible substrate and the nanostructure; the continuous sidewall of the nanostructure and the high-refractive-index material film deposited on the inner side of the nanostructure jointly define a Mie hole, and the Mie holes are arranged in different sizes and / or intervals in the plane according to the design of the anti-counterfeiting mark, so as to form a target pattern and color coding. The application can reduce the process difficulty and cost without high-aspect-ratio metasurface and strict control of multi-layer thickness, can widen the manufacturing window and improve the yield, and can improve the environmental stability and batch consistency through low-refractive-index medium backfilling and leveling, and is suitable for fields such as certificates, anti-counterfeiting labels and the like.

The invention relates to the field of equipment state monitoring and fault diagnosis, and discloses a fault diagnosis method based on a vibration track profile map. According to the method, vibration signals are collected and converted into displacement data, a vibration track profile map is drawn in a coordinate system, a graphical interaction interface is provided for a user to customize a graphical alarm area, a graphical boundary is converted into a mathematical criterion, and real-time out-of-limit judgment and alarm of track points are achieved. The method supports various alarm area shapes such as a circle, an ellipse and a polygon, track visualization can be enhanced through dragging dynamic adjustment in combination with a time sequence color coding technology, the dependence on a complex mechanism model is reduced, and the intuition, flexibility and accuracy of fault diagnosis are improved.

The invention provides an exosome detection system and detection method based on structural color coding and micro-fluidic. The exosome detection system comprises a core-shell structural color microcarrier and a micro-fluidic chip, the micro-fluidic chip comprises an upper-layer substrate and a lower-layer substrate which are oppositely arranged, wherein the upper-layer substrate is positioned above the lower-layer substrate; a plurality of S-shaped fluid channels are arranged on the opposite surfaces of the upper-layer substrate and the lower-layer substrate, inlets of all the fluid channels are communicated, and outlets of all the fluid channels are communicated; a plurality of micro pits are distributed at intervals on one surface, opposite to the upper-layer substrate, of the lower-layer substrate along the extension direction of the fluid channel, and the micro pits are correspondingly communicated with the fluid channel; and the micro pits are used for placing core-shell structure color microcarriers. According to the exosome detection system and detection method based on structural color coding and microfluidics provided by the invention, efficient enrichment of exosomes and synchronous detection of multi-element markers are realized.

An image processing method includes: acquiring an image size of an image and original image data of the image; creating a first texture storage area according to the image size, and storing image data of the image into the first texture storage area; creating, according to the image size and a target encoding format, a second texture storage area for storing target image data to be generated, a color encoding format corresponding to the target image data being the target encoding format; and performing, through a shader called by a graphics processor (GPU), encoding format conversion on the original image data stored in the first texture storage area to generate the target image data corresponding to each texture coordinate in the second texture storage area, and storing the target image data corresponding into the each texture coordinate to a corresponding storage location in the second texture storage area.

The invention discloses a generation method and device of a child growth and development visual instrument panel, and relates to the field of data processing. The method comprises the following steps: acquiring growth and development index data of a to-be-evaluated child and the age and gender of the to-be-evaluated child; performing comparative analysis on the growth and development index data and the normal growth and development range of the child to obtain the health state of the to-be-evaluated child; based on the current growth and development index data and the historical growth and development index data, determining a dynamic change trend of the to-be-evaluated child; performing fusion analysis on the health state and the dynamic growth trend to generate a comprehensive health state; generating a visual instrument panel according to the comprehensive health state; and performing color application on the visual graphic elements by adopting preset color codes, and generating character annotations corresponding to the growth and development index data on the visual graphic elements based on the comprehensive health state. By implementing the technical scheme provided by the invention, the monitoring effect on the growth state of the child is improved.

The application relates to a foodborne pathogenic bacteria multiplex digital PCR detection reagent, a detection device and a detection method thereof. The application provides a super-multiplex foodborne pathogenic bacteria digital PCR detection system based on a multi-color coding technology. The system breaks through the physical limitation of a fluorescence channel through an innovative probe coding strategy and a signal decoding algorithm, realizes absolute quantitative detection of 7 or more foodborne pathogenic bacteria in a single reaction tube at the same time, and ensures high specificity, high accuracy, a wide linear range and good repeatability in a complex matrix.

The invention provides an intelligent extraction and structured conversion method for holographic features of a surface mine slope, and belongs to the technical field of slope feature intelligentization. Endowing each layer with a corresponding color attribute according to the parameter mapping model, and generating an analyzable slope digital file; extracting a geometrical shape of the slope from the slope digital file, and calculating a bounding box of a slope area; gridding processing is carried out in the bounding box of the slope area, and data in the bounding box after gridding processing is converted into three-dimensional grid data of a fixed size; according to the three-dimensional grid data with the fixed size, utilizing a contour extraction algorithm to identify an external contour line of the slope; calculating a local inclination angle of each contour section according to coordinates of adjacent points in the discrete surface point set; and semantic segmentation is carried out along the external contour line of the slope according to the local inclination angle of each contour section. According to the method, the problem that slope features are difficult to efficiently identify by a computer and are used for deep learning is solved.

The application provides a space positioning method for mapping, and relates to the technical field of laser radar positioning. The method comprises the following steps: projecting color grid light to a region to be mapped by color coding, forming a positioning grid, and collecting two images of the on-off grid light by using an image acquisition device, extracting the grid intersection points as control points and obtaining the pixel coordinates of the control points by color recognition; emitting measuring light to the control points from at least three measuring light projection points, and solving the three-dimensional coordinates of the control points by space distance intersection; combining the pixel coordinates and the three-dimensional coordinates of the control points, and inversely calculating the pose of the image acquisition device by using a heteroscedastic total least squares model; identifying the pixel offset of a target feature point and its adjacent control point, combining the pose to convert the actual distance offset of the target feature point, and calculating the three-dimensional coordinates of the target feature point. The application effectively fuses optical active projection and optical ranging, and realizes efficient three-dimensional space positioning.

The invention discloses a lightweight load identification algorithm based on feature fusion, which belongs to the field of power detection, and comprises the steps of collecting time series data of parameters of a power load, generating a non-threshold recurrence plot after preprocessing, constructing a basic load feature library, and performing feature fusion on the time series data of the parameters based on RGB color coding. Converting the threshold recursion plot into color image features, constructing a lightweight network, optimizing a network structure, training data and outputting a load identification result; according to the method, the feature identification degree after processing is remarkably improved, the model lightweight effect is prominent, and the on-site real-time monitoring requirement can be met.

The invention relates to the technical field of image processing, and discloses a multi-modal magnetic resonance image difference analysis method based on visual identification, which comprises the following steps of: performing brightness unification, spatial resolution unification and structure enhancement on different imaging modal images, so that each modal keeps consistent in brightness, space and structure. And cross-modal stable key points are extracted from the enhanced image, and comprehensive difference measurement is constructed by combining brightness difference, structure gradient difference and neighborhood texture difference. And generating a main difference region through normalization processing and difference seed diffusion, and complementing a region boundary combined structure gradient feature to obtain a difference reconstruction region covering a real organization boundary. And calculating the structure direction, the structure strength and the texture change in the region to form cross-modal difference distribution, and dividing difference types according to a threshold value. And finally, carrying out color coding on the difference type, generating a color difference chart, and superposing a visual image.

The invention belongs to the technical field of functional polymers, and particularly relates to a non-conjugated fluorescent functional polyelectrolyte as well as a preparation method and application thereof. The polyelectrolyte is based on a polyion liquid system, and continuous adjustment of fluorescence emission is realized by regulating and controlling a chemical structure of a side group connected with cations. The fluorescent film prepared by using the compound has the characteristics of excitation wavelength dependence, reversible water stimulation response and thermal response. An optical information encryption, retrieval and decoding system is further constructed based on the polyelectrolyte system, color coding and intelligent terminal decoding are achieved, and the application potential in the fields of optical anti-counterfeiting, humidity sensing, intelligent display and the like is shown.

This invention concerns an innovative method and device for recording and analyzing road surface smoothness, implemented via a telematics device-main unit (1) installed on a transport vehicle [e.g., truck, bus, etc.] (7) performing independent tasks, such as waste collection, goods transportation, passenger transport, or surveillance. The telematics device - main unit (1) records acceleration [vertical - longitudinal - lateral] (8) and angular velocity through the integrated three-axis accelerometer (2), gyroscope (3), and GPS receiver. Subsequently, the processor-controller (6) correlates the data with geographic coordinates and transmits them via the cellular communication module (5) to the cloud-based computing platform (9), where data is visualized on a GIS map with color-coded smoothness indicators, alert algorithm output, and administrative classification [Municipality, Region, Highway] (10). The device automatically calculates the vertical axis when the vehicle is stationary, regardless of the mounting orientation. It further applies corrections in cases of high longitudinal or lateral acceleration by filtering out vibrations unrelated to road surface degradation. The platform displays the latest measurements for each point, maintains historical records, and activates alerts only when new wear or damage is detected. The data is categorized into geographic units (municipalities, regions, highways), enabling the production of statistical and comparative reports per area, thereby supporting evidence-based planning and prioritization of maintenance interventions.

The invention discloses a workpiece three-dimensional model construction and processing method based on binocular vision detection data, and the method comprises the steps: firstly carrying out the multi-angle synchronous scanning of a workpiece through employing a combination of a binocular camera and a line laser, and obtaining the multi-view three-dimensional point cloud data of the surface of the workpiece; and constructing a density sensing type dynamic registration framework, and performing distance weighted fusion and outlier elimination on the registered multi-view point clouds in an overlapping region to generate a complete workpiece point cloud. A feature retention type point cloud direct modeling strategy is adopted, normal vector optimization is performed on a down-sampling point cloud, key feature marks are manufactured, a lightweight three-dimensional model is generated through color coding rendering, and a large amount of calculation of traditional surface reconstruction is avoided. And finally, based on model coordinate system calibration and point cloud fitting optimization, extracting functional characteristic parameters of edge straightness, datum plane flatness and hole system position degree, and completing workpiece quality evaluation. According to the method, the point cloud processing speed and the key feature analysis precision are improved, and the real-time requirement of industrial online detection is met.

This application provides a color noise reduction method, apparatus, electronic device, and computer-readable medium. The color noise reduction method includes the steps of: converting a source image in YUV format into a target image in a target format, which is a color encoding format that does not use lumens for encoding; calculating pixel difference values ​​between adjacent pixel points in the target image and obtaining a difference value distribution; and performing noise reduction on the source image based on the difference value distribution. By indirectly introducing Y channel information in the source image using an image in the target format, the similarity between adjacent region pixels can be effectively distinguished, color noise reduction can be maximized in the edge region, and the problems of color bleeding and residual edge noise in color noise reduction can be solved.

The invention discloses a block texture generation method based on multi-objective optimization, and the method comprises the following steps: S1, constructing a historical block multi-modal data set, and carrying out the standardized preprocessing and semantic segmentation color coding of image samples in the data set; s2, based on the preprocessed data set, generating a high-precision historical block plane initial layout by adopting a generative adversarial network; s3, performing diversified expansion under semantic guidance on the initial layout by using a low-rank self-adaptive fine-tuning diffusion model to generate a diversified candidate scheme set; s4, constructing a multi-target evaluation index system for the block texture and the road network; and S5, performing iterative optimization on candidate schemes in the diversified candidate scheme set based on a multi-objective genetic algorithm, and screening out an optimization scheme. According to the method, the problems of insufficient form precision, low generation efficiency and poor scheme comprehensive performance in the existing historical block texture reconstruction can be solved, and accurate generation and organic optimization of the historical block texture are realized.