22results about How to "Resolve continuity" patented technology

The invention relates to the technical field of perception fusion, and discloses a tug fusion enhanced perception method based on target tracking and obstacle recognition, which comprises the following steps: processing an AIS, an optical fiber compass, a Beidou RTK, a laser radar, a millimeter wave radar and a panoramic camera on a tug to establish a ship coordinate system; and collecting message data of the AIS and combining with the MMSI information to screen the target ship to obtain the initial position of the target ship. And predicting the state sequence of the target ship to obtain the position, speed and heading information of the target ship. And carrying out target identification on the image, outputting identification results of semantic levels of the ship, the buoy and the quay wall, and carrying out space projection alignment with radar data. And fusing the processed results to obtain a fusion result, and performing early warning according to the fusion result. According to the method, the target ship relative pose resolving precision and the obstacle recognition reliability are improved, the sensing link time delay is shortened, and the driver blind area risk is reduced.

This invention discloses a comprehensive energy operation simulation method and system based on multi-objective optimization, belonging to the field of energy technology, aiming to solve the problems of equipment overload and discontinuous power supply caused by supply and demand imbalance under extreme climate conditions. The method establishes a multi-objective collaborative optimization model based on the renewable energy types and seawater desalination load characteristics of the island microgrid. An improved NSGA-III algorithm is used to simulate the model and generate a scheduling scheme, including the start-up and shutdown sequence of the hydrogen production equipment. When a typhoon warning signal is received, the seawater electrolysis hydrogen production equipment is forcibly locked, and the output power of the diesel generator is fixed within a preset range. During the operation of the hydrogen production equipment, the output fluctuation data of the wave energy generator is collected in real time, and the operating power of the reverse osmosis seawater desalination unit is adjusted through a dynamic correction algorithm. When the hydrogen storage capacity of the hydrogen production equipment reaches a threshold, the power lock of the diesel generator is released, switching to a multi-energy coupling control mode, and the charging and discharging strategy of the energy storage equipment is updated synchronously.

The invention discloses a tobacco shred width online sampling detection device and a detection method, and aims to solve the problems of low detection efficiency, insufficient real-time performance, high tobacco shred clustering lap joint rate, transparent pressing plate pollution and the like in the prior art. According to the technical scheme, the tobacco shred width online sampling detection device is arranged on a tobacco shred conveying line, the core of the tobacco shred width online sampling detection device comprises a material receiving and conveying mechanism, a material scattering device of a vibration scattering device, a tobacco shred flattening and conveying mechanism and a visual detection mechanism; the vibration shaking device is used for loosening and raking the clustered and lapped tobacco shreds, so that the lapping rate and the agglomeration rate are reduced, full preparation is made for flattening the tobacco shreds, and the single tobacco shred rate is increased. According to the detection method, detection is completed through differential conveying and primary spreading, four-layer progressive vibration material scattering, conveying, clamping and flattening and visual acquisition of high-flattening-rate tobacco shred images. According to the scheme, the uniformity of tobacco shred bulk materials is greatly improved, the clustering lap joint rate is reduced, pressing plate pollution is avoided, real-time online detection is achieved, the detection efficiency and continuity are improved, the detection efficiency is improved, and guarantee is provided for stable cigarette quality.

The application discloses a dual-energy ray bone density evaluation method based on a flat panel detector and relates to the technical field of ray evaluation.The direct conversion mode of the flat panel detector is used to realize high-precision collection of low-energy and high-energy ray images, and noise and resolution loss caused by traditional indirect imaging are significantly reduced;one-time and two-time corrections are completed in an edge computing node, the problem of gray scale discontinuity and energy ratio distortion in the joint area of bones and soft tissues is effectively solved, and the authenticity of the image boundary is improved;further dynamic smoothing processing of the energy ratio is combined to obtain a stable ratio image, the stability and repeatability of bone density measurement are significantly enhanced, and more accurate bone density evaluation is realized.

The invention relates to the technical field of integrated navigation, in particular to a positioning method and system based on optical angle measurement and astronomical-inertial integrated navigation. According to the method, firstly, a star image and a navigational satellite image are obtained at the same time by shooting a star map, after recognition and processing, the attitude of a camera relative to a geocentric inertial coordinate system is calculated by utilizing the star, and then the coordinate of the navigational satellite in the coordinate system is determined. And obtaining angle information of the navigation satellite relative to the observer under the earth coordinate system through coordinate transformation. Optical angle measurement information is fused with attitude, speed and position information output by an inertial navigation system, a Kalman filtering state equation and an observation equation are constructed, and finally real-time high-precision calculation and updating of the position of the observer are achieved. According to the method, the accuracy of optical angle measurement, the limited distance reference of celestial navigation and the autonomous continuity of inertial navigation are fused, and the navigation positioning accuracy and reliability under the complex environment and the satellite denial condition are effectively improved.

The invention relates to a method and a device for optimizing a large language model interactive service for a weak network environment, which are particularly suitable for regions with limited network infrastructures. The method comprises the following steps: establishing an interactive self-adaptive hierarchical service architecture of a large language model, and dynamically adjusting LLM context management and generation control according to a network condition; establishing a semantic local cache mechanism oriented to large language model interaction, and performing local storage and offline response of LLM specific key data at a user equipment side; establishing an asynchronous fault-tolerant processing mechanism of large language model interaction, and providing an interaction continuity guarantee when the network is abnormal; and establishing a transmission optimization strategy of the large language model, and optimizing the transmission characteristics of the data. According to the method, the special problems of response delay, interaction interruption, bandwidth limitation and the like of interactive application of the large language model in a weak network environment are solved, and the service stability and the user interaction fluency of the large language model are effectively improved.

The application provides a robot mechanical arm cooperative control method based on imitation learning. The method comprises the following steps: constructing a robot historical state data set, performing feature extraction on the robot historical state data set through an encoder structure to obtain a latent feature representation; obtaining a color image and a depth image of a target operated by a robot to be predicted through a binocular camera, performing feature extraction processing on the color image and the depth image through a mode classification module and a visual feature extraction network to obtain a mode feature and a visual feature vector; inputting joint state information, the latent representation, the operation mode feature and the fused visual feature into a decoder to obtain an action block prediction result, performing weighted averaging on action blocks at multiple continuous time points based on a time series integration weighting mechanism to obtain a continuous control trajectory of the robot mechanical arm. The application solves the multi-stage strategy discontinuity and error accumulation problems existing in the traditional control algorithm, and realizes smooth action, stable task and double-arm cooperative control.

The application discloses the technical field of agricultural drought monitoring and a kind of agricultural drought monitoring method based on multi-source soil moisture fusion, the method includes the following steps: obtaining active remote sensing soil moisture data, passive remote sensing soil moisture data and VIC model soil moisture data;Scale recalibration is carried out to active remote sensing soil moisture data and passive remote sensing soil moisture data by constructing cumulative distribution function;Multi-source soil moisture fusion is carried out using TC algorithm by season;Soil relative humidity index is calculated based on fusion soil moisture data and field water capacity data;Drought grade is determined based on soil relative humidity index and soil texture data.The application uses the mode of multi-source data fusion by season, not only solves the problem of insufficient monitoring depth and space-time discontinuity of remote sensing soil moisture, but also solves the problem of simulation deviation caused by irrigation influence of model soil moisture, and realizes the accurate monitoring of national scale agricultural drought.

The present application relates to the technical field of integrated navigation, in particular to a positioning method and system based on optical angle measurement and astronomical-inertial integrated navigation. The method first acquires star and navigation satellite images by shooting a star map, and then calculates the attitude of the camera relative to the geocentric inertial coordinate system by identifying and processing the stars, and further determines the coordinates of the navigation satellite in the coordinate system. Through coordinate conversion, the angle information of the navigation satellite relative to the observer in the earth coordinate system is obtained. The optical angle measurement information is fused with the attitude, speed and position information output by the inertial navigation system, the Kalman filter state equation and observation equation are constructed, and finally the real-time high-precision solution and update of the observer's position are realized. The present application combines the accuracy of optical angle measurement, the limited distance reference of astronomical navigation and the autonomous continuity of inertial navigation, effectively improving the navigation and positioning accuracy and reliability under complex environment and satellite denial conditions.

This invention discloses a Bayesian inversion extraction method for the equilibrium signal of wide-span altimeter data. The method involves acquiring and preprocessing sea surface height anomaly sequences from radar interferometers and nadir altimeters. A normalized sine square window function is applied for windowing, and multidimensional spatial averaging is used to estimate the one-dimensional wavenumber power spectrum. A piecewise power law-based equilibrium signal spectrum model and a noise spectrum model constrained by dynamic sea state are constructed, and the set of spectral parameters is extracted through logarithmic domain weighted least squares fitting. A set of spatial covariance matrices is constructed using cosine integral transform and Abelian forward and inverse transforms. A graphics processor is scheduled to perform batch matrix decomposition and singular fault-tolerant regularized inversion to solve for the posterior mean vector and posterior covariance matrix of the target equilibrium signal. Window fusion and index mapping are applied to fill the gaps in nadir observations. Geostrophic dynamics parameters are calculated, uncertainty quantification is performed based on the linear error propagation law, and the knowledge base is updated based on the exponential moving average algorithm. This invention achieves suppression of observation noise and physical filling of observation gaps, improving the adaptability of the inversion system to environmental changes while preserving non-Gaussian dynamic characteristics.

The utility model discloses an adsorption separation device relates to adsorption and analysis control technical field. The method includes: setting the first cleanliness threshold of finished gas and the second cleanliness threshold of analysis gas, according to the current state of the first cleanliness and the second cleanliness, the dynamic adjustment of the regeneration medium flow of analysis process, or when the first cleanliness reaches the first cleanliness threshold, end current adsorption process, make the adsorption tower and the regeneration tower switch operation mode. The utility model discloses through the dynamic adjustment of the dual state of real -time monitoring finished gas and analysis gas, can adaptive response actual working condition fluctuation, while guaranteeing finished gas quality stability, avoided the problem of insufficient or excessive consumption of regeneration medium of regeneration, significantly reduced operating energy consumption.

The utility model discloses a kind of aluminium tape winding disc devices, which is used for winding packaging of aluminium tape;First winding disc, second winding disc are set in mounting disc, first driving member is installed in mounting disc, for driving first winding disc rotation;Second driving member is installed in mounting disc, for driving second winding disc rotation;First auxiliary roller, second auxiliary roller are respectively set in mounting disc, and rotate with mounting disc;First winding disc is formed with first cutting part, and second winding disc is formed with second cutting part;Third driving member is fixed with rack, cutter is installed in the driving end of third driving member;When third driving member drives, cutter can enter first cutting part or second cutting part;Rotary assembly is installed in rack, and is connected with mounting disc;Rotary assembly is used to drive mounting disc rotation, to make first winding disc and second winding disc automatically complete station interchanging.The utility model technical scheme aims at improving production efficiency, and realizes the uninterrupted operation of aluminium tape winding packaging.

The present application belongs to the technical field of information security, and relates to a non-interference network behavior situation awareness method and device, electronic equipment and storage medium, the method comprising: collecting and preprocessing network traffic data; combining Kalman filtering and a Transformer model to perform situation steady-state estimation and attack chain semantic recognition, and output fused situation information; performing standardized packaging, multi-channel output and hierarchical alarm based on the situation information; constructing a multi-dimensional access verification model, dynamically generating and executing control strategies to realize closed-loop linkage; providing cross-industry adaptive capability through workflow atlas generation, model pre-training and fine-tuning, and standardized templates; based on control feedback and situation review, automatically verifying network non-interference, monitoring algorithm collaborative stability, and performing emergency calculation and switching. Non-interference collection and control, high-precision situation awareness, two-way mandatory access control and cross-industry rapid adaptation can be realized, significantly reducing false positives and false negatives and operation and maintenance costs.

The utility model discloses a kind of overflow type plasma activated hydrogen peroxide systems, belong to electrochemical synthesis and green disinfection technical field, it includes electrolysis subsystem, plasma activation subsystem and high-pressure excitation and monitoring subsystem, electrolysis system is converted into high-purity hydrogen peroxide aqueous solution by the oxygen reduction reaction of reaction electric pile cathode side to pure water, anode side circulation electrolysis pure water;Plasma activation system adopts inclined sealing shell, inside is equipped with dielectric barrier discharge unit and liquid film formation unit, hydrogen peroxide solution forms uniform liquid film under the action of baffle, and active oxygen or active nitrogen group is generated with plasma reaction, high-pressure excitation and monitoring system real-time control discharge parameter.The utility model realizes the stable preparation and in-situ high-efficiency activation of high-purity hydrogen peroxide, with compact structure, low energy consumption, high sterilization efficiency and the like, suitable for medical, food processing and other fields of rapid disinfection.

This application relates to the field of intelligent transportation and proposes a calibration method, device, equipment, and storage medium for roadside radar. The method includes: acquiring first positioning information and speed information of a vehicle, and second positioning information of a connected vehicle; clustering the first positioning information to generate a vehicle trajectory; determining the vehicle trajectory matching the second positioning information based on the relative positional relationship of the vehicle trajectories and pre-determined lane information of the connected vehicle; aligning the second positioning information and third positioning information in the vehicle trajectory according to time, and performing coordinate transformation calculations on the aligned positioning information to determine the calibration information of the roadside radar. Because this application generates vehicle trajectories by clustering based on the first positioning information and speed information, it can effectively solve the noise and discontinuity problems of roadside radar, and it eliminates the need to close roads when calibrating roadside radar on public roads.

The invention discloses an all-terrain multifunctional vehicle satellite navigation method and system, relates to the field of all-terrain multifunctional vehicle satellite navigation, is used for improving the navigation reliability and safety of an all-terrain multifunctional vehicle in a complex terrain, and comprises the following steps: obtaining the current position of the vehicle and the actual signal characteristics of a satellite signal received by the vehicle; calculating an expected signal characteristic of the satellite signal according to the current position of the vehicle and preset known environment data; according to the actual signal characteristics and the expected signal characteristics, determining whether signal abnormity exists or not; under the condition that the signal is abnormal, determining whether an abnormal area exists in a preset path going to the destination or not; and under the condition that the abnormal area exists in the preset path, generating an alternative path for avoiding the abnormal area so as to go to the destination.

The invention discloses a heterogeneous text offline transmission method and system based on dual-metadata collaboration and adaptive FEC (Forward Error Correction), and the method comprises the steps: distributing a file identifier to a to-be-transmitted text file, partitioning the to-be-transmitted text file, and setting an overlapping region to obtain a data block with the overlapping region; and generating a dual-metadata file containing position and content metadata files. Selecting a forward error correction coding mode for coding according to a transmission environment, and generating a two-dimensional code after converting a text character string in a uniform format and adding a check code; and decoding and identifying the two-dimensional code, storing the data in the dual-metadata pool in a classified manner after verification, extracting the data, decoding, recovering the metadata file and the data block with the overlapping region, and verifying. And finally, sequencing the verified data blocks, verifying the continuity of the overlapping regions, removing overlapping region splicing, restoring the file structure according to the position metadata file, and completing transmission and restoration. The technical problems that in the prior art, in the off-line transmission process of a large number of texts, the structure is lost, the error correction capacity is weak, and recovery is difficult are solved.

The invention discloses a precise single-point positioning ambiguity fixed optimization method, device and equipment and a medium, and the method comprises the steps: obtaining original observation data of a mobile station, and carrying out the non-difference data preprocessing of the original observation data; performing PPP floating point solution calculation on the processed observation data to obtain a non-difference floating point solution of the current epoch of the mobile station; performing wide item ambiguity fixation on the non-difference floating point solution according to the MW combination observation value to obtain the final wide item ambiguity of the non-difference floating point solution; and performing narrow item ambiguity fixation on the non-difference floating point solution according to the final wide item ambiguity to obtain a PPP fixed solution of the non-difference floating point solution. The problems that an existing non-combined PPP-AR technology is low in ambiguity search efficiency, high in terminal load and poor in fixed solution continuity and stability in a complex scene can be solved.

This utility model relates to the field of scum removal systems, specifically to an automatic scum removal system for high-efficiency tanks. It includes a scum collection hopper, a connecting pipe, a primary connecting hose, a submersible pump, a secondary connecting hose, a scum hopper, a movable rod, a connector, and a lifting screw. A connector is installed at the bottom of the lifting screw, and movable rods are installed on all four sides of the connector. The bottom of the movable rods can move on the upper side of the scum hopper. The bottom of the scum hopper is connected to the secondary connecting hose, which is connected to the bottom of the submersible pump. The primary connecting hose is installed on the upper side of the submersible pump, and a connecting pipe is installed at the other end of the primary connecting hose. The scum collection hopper is installed at the bottom of the outlet end of the connecting pipe. As the lifting screw moves up and down, and the submersible pump operates, a high liquid level difference is generated, creating a flow velocity. Scum quickly enters the scum hopper and is then pumped into the scum collection hopper by the submersible pump. The filtered water returns to the high-efficiency tank, resulting in high scum removal efficiency and solving the problem of scum accumulation affecting subsequent continuous sand filters or precision filters.

The application discloses an intelligent doll interaction method and device and a medium, and relates to the technical field of artificial intelligence, and comprises the following steps: acquiring an image frame sequence containing a user collected by a camera; performing real-time visual semantic analysis on the image frame sequence to extract a visual state vector of the user; mapping the visual state vector into eye expression rendering control parameters and eye view angle rendering control parameters; and performing dynamic drawing update on an eye image presented on a screen of an intelligent doll according to the eye expression rendering control parameters and the eye view angle rendering control parameters, so that the eye image expression matches the emotional state of the user and the gaze direction adapts to the spatial position of the user. The above scheme establishes a real-time mapping and dynamic driving mechanism from visual perception to screen rendering parameters, realizes the coordination and unity of emotional expression and gaze tracking in eye contact interaction, and improves the naturalness and immersion of the interaction.

This invention provides a method and system for depicting brain midline CT images based on a 2.5D architecture and multiple attention mechanisms. The method includes: constructing a brain midline depiction network, namely GUP-Net (Global Uncertainty-Location Network), and introducing a three-dimensional spatial correction strategy, a Global Slice Attention (GSA) module, a Dynamic Uncertainty Awareness (DUA) module, and a Position Attention (PA) module; the GSA module is used to fuse cross-slice features to enhance key layer recognition; the DUA module optimizes feature extraction during downsampling to reduce lesion interference; the PA module improves spatial localization accuracy during upsampling; and the GUP-Net is trained using three-dimensionally corrected brain CT images to obtain the depiction model. This invention effectively solves the problems of distortion, blurring, and displacement of the brain midline caused by lesions, improving depiction accuracy and robustness.

This invention discloses a method for producing porous biomass carbon using Casuarina equisetifolia. The method involves reactively extruding Casuarina equisetifolia powder, ammonium polyphosphate, melamine, potassium acetate, urea, and water using a twin-screw extruder to obtain a rheological phase plasticizing precursor. This precursor is then refined through segmented curing and foaming, high-temperature reforming activation, hot water digestion, and ultrasonic acid washing to obtain porous biomass carbon. This invention utilizes a eutectic system to achieve low-temperature continuous processing of the precursor and inhibits equipment corrosion. A well-developed pore structure is constructed through a stepwise cross-linking foaming and mild activation strategy. The porous biomass carbon prepared by this invention has an ash content ≤1.12%, a carbon yield ≥35.7%, an iodine adsorption value ≥1278 mg / g, and a methylene blue adsorption value ≥175 mg / g. Furthermore, the process is continuous, with minimal equipment corrosion, making it suitable for industrial production.