17results about How to "Generated in real time" patented technology

The invention belongs to the technical field of alkane gas leakage detection, and particularly relates to a leaked gas detection method based on deep learning and an optical flow method. The method comprises the following steps: simulating image data of real gas leakage by using a Gaussian plume model, and making a data set; a deep learning network YOLOv8-seg model is used for training; an intermediate infrared camera is used for monitoring an area where leakage may occur; when leakage occurs, a leakage gas area is detected and segmented, and a binary segmentation mask of leakage gas is generated; and analyzing the motion direction of the gas plume in the binary segmentation mask by using an optical flow method. The problem that leakage points are difficult to find in an existing gas detection means is solved, the diffusion track of leaked gas can be tracked more accurately, and rapid tracing is achieved.

The invention discloses an electric power unmanned aerial vehicle investigation 3D imaging system and a measurement method, and relates to the field of unmanned aerial vehicle electric power investigation. An unmanned aerial vehicle carrying a visible light and thermal imaging camera is adopted to move in the air so as to investigate and collect visible light image data and thermal imaging image data of an electric power network; identifying network nodes and connecting lines through a deep learning algorithm, and constructing a two-dimensional topological graph; weight distribution is carried out on nodes in combination with temperature data in thermal imaging image data, an inspection path is planned by using an improved genetic algorithm, and the total inspection path is reduced while high-risk nodes are inspected preferentially; in the inspection process according to the inspection path, node three-dimensional coordinates and visible light and thermal imaging images are obtained through an unmanned aerial vehicle sensor, a power network three-dimensional topological graph is constructed, and fault nodes are marked. The method has the advantages that the three-dimensional topological graph is quickly generated, fault nodes are preferentially detected, and the total routing inspection distance is remarkably reduced.

The invention provides a device networking method and system based on an IPv6 protocol, and the method comprises the steps: reading a sequence number in a unique identifier of a device when the device is registered, combining the sequence number with bytes generated by a random number generator to generate a network card identifier and a local link address, triggering a multicast neighbor request, splicing the multicast neighbor request with a router IPv6 network address prefix to form a device IPv6 address, and transmitting the IPv6 address to the device; registering identifier information to the system, and setting the object to complete registration; during IPv6 network address change monitoring of the equipment, an ICMP6 protocol routing announcement is intercepted, and when a router network prefix is changed, a new prefix and a network card identifier are used for regenerating and re-registering an IPv6 address; in the aspect of system functions, registration information is received, related contents are registered, parameters are set remotely, user and equipment management is carried out, and equipment management covers multiple functions such as software remote online upgrading; address management can be simplified, the use threshold and cost are reduced, the equipment management function is enhanced, the dynamic address processing efficiency is improved, and the defects in the prior art are overcome.

The invention discloses a mobile phone information privacy protection method and system based on big data analysis, and relates to the technical field of information security, and the method comprises the steps: collecting latest privacy protection requirements from an application market and / or a supervision department, extracting privacy protection terms, and generating a standardized privacy protection rule data set; after an encryption analysis result is obtained, a dynamic privacy protection rule file is generated in combination with big data analysis; for the dynamic privacy protection rule file, analyzing byte codes of a mobile phone application through an ASM framework, automatically modifying a sensitive API calling point, and inserting privacy monitoring logic; repackaging the modified sensitive API calling point into an APK file, and carrying out privacy monitoring verification on the application program; according to the method, encryption analysis and distributed training are adopted, safe sharing and processing of privacy data under participation of multiple parties are ensured, the protection strength of mobile phone information privacy is effectively enhanced, and the method is suitable for complex and changeable application scenes.

The invention belongs to but not limited to the technical field of laser welding numerical simulation, and particularly relates to an adjustable annular light spot modeling method and system.The method comprises the steps that a center light beam and an outer ring light beam are discretized, points of the center light beam on a point focal plane are generated, points meeting Gaussian distribution within a certain range are generated, the points serve as one point on a straight generatrix, and the point on the straight generatrix is obtained; generating a straight bus; generating points of the outer ring light beam on the ring focal plane, generating a certain range of points conforming to Gaussian distribution, expanding the generated points to an outer ring region, and calculating coordinates, corresponding to the ring focal plane, on a beam combining surface according to the transformed coordinates and the radius of the beam combining surface of the outer ring light beam and the central light beam; according to each generated point, generating points at certain circular intervals by taking the distance from the point to the center as a radius; the positions and directions of the generated points are recorded, and each beam of discrete light is endowed with certain energy.

The invention discloses a device and method for monitoring slope stability by using a Beidou positioning device, and the method comprises the steps: carrying out the high-resolution ground image collection of a slope through an unmanned plane, and carrying out the preprocessing of the collected data, and generating DSM data; arranging side slope monitoring points, acquiring side slope point location data by using a Beidou high-precision positioning device, and then processing the side slope point location data to form three-dimensional coordinates; according to the method, the three-dimensional coordinates and slope DSM data are utilized to determine the fluctuation condition of the slope terrain, then the size and shape of a grid are set, a slope surface is divided into a plurality of regular grid units, and the slope stability is analyzed in combination with the volume of each grid unit and the physical characteristics of a soil body. According to the method, the sliding force and the stability coefficient of the slope can be accurately evaluated by calculating the volume and the weight of each grid unit and combining the mechanical parameters of the soil body. The quantitative analysis provides a scientific basis for engineering decision making, so that slope stability evaluation is more objective and accurate.

The invention discloses a real-time map generation method, device and system and a storage medium, and relates to the technical field of image processing. The method comprises the following steps: acquiring a first image frame, and processing the first image frame based on a frame screening mechanism to obtain a second image frame; inputting the second image frame into an ORB-SLAM2 system for thread processing to obtain camera pose information, ground pose parameters and a key frame, and processing the key frame based on an inferior frame rejection mechanism to obtain a third image frame; and integrating the camera pose information, the ground pose parameters and the third image frame into a Map2Dflution mapping system for processing, and generating a real-time map. According to the method and the device, positioning or mapping errors caused by image blurring are reduced, the processing flow is simplified, the calculation complexity is reduced, the influence of inferior frames on the mapping quality is avoided, and the accuracy and the stability of a map are improved.

The invention discloses accurate applying equipment for a conditioner and a fertilizer of saline-alkali grassland, and aims to solve the problems that a large amount of saline-alkali soil cannot be utilized at present and an existing applying device for the conditioner basically adopts manual throwing or quantitative applying by using a fertilizer applicator. The invention designs novel equipment which is electrically driven and automatically driven and can automatically change the playing amount of a conditioner according to the pH value of soil. The detection system is provided with a detector, the pH value of soil is detected in real time, data can be uploaded to a Beidou positioning system, a saline-alkali data map is generated, the application amount is calculated through software, and the size of a discharge port is adjusted in real time according to the obtained data; and a discharge port is controlled by a motor through an adjustable discharge switch, so that the purpose of variable release of the conditioner is achieved. A Beidou positioning system and an electric driving system are innovatively introduced, the discharging mode of a traditional fertilizer applicator is improved, a real-time detection mechanism is additionally arranged to observe the cultivated land condition, and the yield of medium-low-yield cultivated land is increased.

The invention discloses a cataract vision real-time enhancement system and method based on a wavefront sensing technology, and the system comprises a camera module, a beam expander, a polarizing film, a beam splitter, a light modulation part, a scattering medium and a focusing lens, and the beam expander, the polarizing film, the beam splitter, the scattering medium and the focusing lens are sequentially connected. The light modulation part carries out light wave front phase modulation on the light beams separated by the beam splitter, and the camera module collects a clear image which is not disturbed by the scattering medium and a blurred image which is modulated by the light modulation part, penetrates through the scattering medium and is focused by the focusing lens. The target area image quality is optimized based on the clear image and the blurred image to optimize the phase of the light modulation component. According to the invention, the limitation of the existing cataract treatment method can be overcome, the visual sense of the cataract patient is enhanced in real time, and the life quality of the patient is improved.

The present invention provides a device networking method and system based on IPv6 protocol, comprising: when registering a device, first read the sequence number in its own unique identifier, combine it with the bytes generated by a random number generator to generate a network card identifier and a local link address, trigger a multicast neighbor request, combine it with the router IPv6 network address prefix to form the device IPv6 address, register the identifier information with the system, set the object to complete the registration; in the monitoring of the device IPv6 network address change, listen to the ICMP6 protocol routing announcement, and when the router network prefix changes, regenerate and re-register the IPv6 address with the new prefix and the network card identifier; in terms of system functions, receive registration information and register related content, remotely set parameters, perform user and device management, and the device management covers multiple functions such as remote online software upgrade; the present invention can simplify address management, reduce the use threshold and cost, enhance the device management function, and improve the dynamic address processing efficiency, thereby overcoming the shortcomings in the prior art.

The invention relates to a two-dimensional engineering drawing scene conversion method and device and a storage medium, and is applied to the technical field of digital twinning, and the method comprises the steps: converting a CAD two-dimensional engineering drawing into a DXF file, uploading the DXF file to a cloud, recognizing equipment corresponding to the DXF file through a preset industrial large model in the cloud, obtaining a standard three-dimensional model corresponding to each kind of equipment, and storing the standard three-dimensional model in the cloud; carrying out layout on the standard three-dimensional model of each type of equipment to obtain a three-dimensional model scene; the method comprises the following steps: acquiring text description of motion of each device in a three-dimensional model scene input by a user, extracting motion keywords of each device from a pre-trained Transform model, generating an action sequence based on the motion keywords, and generating a three-dimensional demonstration animation according to the action sequence based on a pre-trained GAN generative adversarial network; the method realizes conversion from the two-dimensional drawing to the three-dimensional animation, generates the animation in real time, has the advantages of low cost and short time consumption, and does not need to worry about scheme leakage caused by delivery to an animation company.

The application provides an orthographic image generation method, device and electronic equipment, the method comprising: performing feature extraction on a current image, obtaining key points in the current image, and determining road marker points matched with the key points in the current image; determining whether the current image is a key frame image based on the road marker points, if yes, optimizing local map information corresponding to the key frame image based on GPS error and re-projection error, and determining orthographic property of the key frame image based on the optimized local map; if the orthographic property is greater than a threshold, projecting the key frame image onto a ground plane, cutting the projected key frame image into multiple image tiles, and fusing each image tile and an orthographic value tile of each image tile to generate an orthographic image of each image tile. The application can generate a high-quality orthographic image in real time to accurately determine the position of a measurement object from the orthographic image.

The invention discloses a method for constructing a multi-modal data set in a real meta-universe environment, which comprises the following steps of: determining the content of the data set, configuring the meta-universe environment, constructing a meta-universe client by using a Unreal Engine engine, and constructing a multi-modal data set in a real meta-universe environment. Collecting image information, text information, current time and user ID of the meta universe user and image information, audio information, text information, current time and scene ID of the scene; the method comprises the following steps of: establishing scenes, users and an interaction set by using MongoDB, creating a document for each scene and each user, and storing image, audio and text information; fusing the data sets on the basis of the user ID, the scene ID and the time; and exporting and sorting the data in the database in a. Csv file form. Through the selection of the meta-universe environment, the dynamic collection of the user information and the configuration at the server and the client, the generation of real and real-time data is ensured, and the constructed data set collection method in the meta-universe environment can be used for researchers to construct the required data set in any scene by themselves.

This invention provides an intelligent processing method and system for public health physical examination follow-up family signature data based on multi-device acquisition. The method includes: collecting raw data streams from multiple vendors' devices via an edge gateway; unifying fields, types, and units through protocol parsing, regular expression and syntax analysis; and promoting automatic semantic alignment of cross-device fields through a dynamic semantic benchmark template. This method employs a lightweight encoder-decoder and contrastive learning mechanism to construct a shared embedding space, achieving device-level semantic matching. It integrates contextual consistency verification and incremental knowledge distillation to support continuous model optimization with new devices and clinical feedback. This invention effectively solves the problem of inconsistent structure and semantics in multi-source medical data, improves the standardization and label consistency capabilities of health data, and promotes the automated application of intelligent risk assessment and follow-up management.

The invention discloses a dense mapping method, a crane and a readable storage medium, the arm head of the crane is provided with an image acquisition device and a point cloud data acquisition device, and the view fields of the image acquisition device and the point cloud data acquisition device cover the lower area of the arm head along the gravity direction. The method comprises the following steps: acquiring single-frame point cloud data and a first image which are respectively acquired by a point cloud data acquisition device and an image acquisition device at the same time; determining a pixel set of the load in the first image, and obtaining a first point cloud set corresponding to the pixel set in the single-frame point cloud data; and determining a grid map based on the position of the odometer in the world coordinate system, and determining a dense point cloud according to the grid map and the first point cloud set. By implementing the embodiment of the invention, the dense point cloud with relatively high precision and relatively good real-time performance can be generated in real time, so that the dense point cloud is used for load obstacle avoidance and planning.

The embodiment of the invention provides a method and device for automatically generating a visual chart based on post index configuration and electronic equipment, and belongs to the technical field of data processing.The method comprises the steps that first configuration information U1 = Ff (D ', P') is generated based on a first index subset D ', a first data source subset P' and a first configuration information generation function Ff; generating a function Fs based on the third filtering condition subset F'and second configuration information, and generating second configuration information U2 = Fs (F '); generating third configuration information U3 = Ft (S ') based on the fourth parameter subset S' and the third configuration information generation function Ft, and performing aggregation operation on the first configuration information U1, the second configuration information U2 and the third configuration information U3 based on the chart generation function Fb to generate a chart aggregation set Z. The method and the device can improve the efficiency and the matching degree of visual chart generation.

The invention discloses a nail measurement and beautification method and device based on deep learning, and belongs to the field of nail beautification, the method uses a DeepLabV3 + model to effectively segment a nail area through ASPP and decoder networks, and even if the shape of a nail is irregular or the nail is shielded, an accurate segmentation result can be obtained. By using the YOLOv8 model, fingernail key point positions such as fingertips and fingernail center points can be rapidly and accurately detected, and an accurate reference basis is provided for subsequent measurement and beautification. The posture and orientation of the finger can be recognized by using the MMPose model, key information is provided for nail tip rendering, and it is ensured that the manicure map can be accurately attached to the hand image. By segmenting the fingernail and the calibration object and calculating the minimum enclosing rectangle, the actual length and width of the fingernail can be accurately measured without manual measurement by a user, so that the convenience in the whole use process is improved.