84 results about "Weather effect" patented technology

The invention provides an artificial influence weather-based image recognition method and system, and the method comprises the steps: firstly obtaining a meteorological image data set of a target region containing a plurality of original meteorological images in sequential arrangement, carrying out the feature extraction of the original meteorological images, and obtaining a meteorological element distribution feature and a dynamic evolution feature; and then, based on a preset weather influence analysis model, carrying out weather influence analysis on the meteorological element distribution characteristics and the dynamic evolution characteristics, generating weather intervention decision characteristics, finally, according to the weather intervention decision characteristics, generating an operation strategy of artificial influence weather, and sending the operation strategy to operation execution equipment to trigger weather intervention operation. Therefore, meteorological image features can be comprehensively and deeply analyzed, the operation strategy is scientifically and accurately generated, and the effect and efficiency of artificial influence weather operation are improved.

The invention discloses an intelligent logistics scheduling method based on Beidou positioning, and the method comprises the steps: obtaining the real-time position information of a vehicle, and constructing a traffic state matrix in combination with road congestion data; judging a weather influence area based on the weather change trend, and obtaining a weather risk area in combination with the traffic state matrix; obtaining inventory state data, and generating a resource demand priority list in combination with the weather risk area; adopting a multi-objective optimization algorithm, taking the resource demand priority list, the traffic state matrix and the weather risk area as input, obtaining an optimal path set, and generating a preliminary scheduling scheme; if a dynamic task insertion request is received, the task insertion feasibility is judged, the resource demand priority list is adjusted, the multi-objective optimization algorithm is operated again, and a corrected scheduling scheme is generated. Through multi-dimensional data fusion and intelligent algorithm optimization, the real-time performance, flexibility and reliability of logistics scheduling are improved, and an effective solution is provided for resource allocation in a complex environment.

The invention relates to the technical field of artificial influence weather, and discloses an artificial influence weather knowledge graph construction method and system based on a large model. The method comprises the steps that multi-source meteorological data are collected and preprocessed to generate a standardized data set; extracting a meteorological feature set by using the pre-trained large model; detecting a data dynamic change frequency, and starting a dynamic strategy to switch and mark an abnormal data segment when the data dynamic change frequency exceeds a threshold value; in combination with a similarity matching result of the historical knowledge graph and the current features, decomposing the feature set of the non-abnormal data segments to generate knowledge feature subsets; correcting the knowledge feature subset based on the coupling relationship between the meteorological kinetic parameters and the environmental parameters; and reversely backtracking the key influence factors along the weather influence propagation map, and constructing the knowledge map. According to the method, multi-source data are integrated through standardized processing, abnormal data are dynamically identified, historical knowledge and physical mechanism are combined to correct features, key factors are finally backtracked to complete graph construction, and the method is suitable for knowledge integration and analysis in the field of artificial influence weather.

The invention relates to the technical field of intelligent logistics, in particular to a vehicle scheduling method and system and a readable storage medium, and the method comprises the steps: obtaining the platform dynamic information of all platforms in a park, the vehicle information of all to-be-scheduled vehicles, and the current weather state of the park; determining the weather influence degree based on the current weather state and the cargo type of each to-be-dispatched vehicle, and obtaining the dispatching emergency degree based on the weather influence degree of each to-be-dispatched vehicle and the vehicle information; based on the platform dynamic information and the platform static information of all platforms and the vehicle information of each to-be-dispatched vehicle, the matching degree of the to-be-dispatched vehicle and the platform is obtained to determine a distribution matrix between the vehicle and the platform, and based on constraint conditions, the distribution matrix is solved to obtain a dispatching strategy corresponding to each to-be-dispatched vehicle. According to the method, automatic scheduling is performed through the real-time data, so that the risk caused by weather and illegal scheduling is reduced while the scheduling efficiency is improved and the resource utilization rate is optimized.

The invention belongs to the technical field of port scheduling, and particularly relates to a container yard AGV scheduling method and system, and the method comprises the steps: S1, collecting and processing the data of a field environment; s2, setting a target function F according to the transportation distance D, the waiting time T, the weather influence W and the storage space storage factor C; s3, using an ant colony algorithm to optimize the transportation distance D and the storage space storage factor C; optimizing the waiting time T and the weather influence W by using a neural network; and S4, selecting a scheme with the minimum comprehensive objective function F according to the transportation distance D and the storage space storage factor C provided by the ant colony algorithm and the waiting time T and the weather influence W predicted by the neural network. The method has the advantages that different key independent variables are optimized through the ant colony algorithm and the neural network respectively, and optimization of the efficiency and stability of the whole dispatching system is facilitated. According to the method and the system, a brand new algorithm is constructed for a port environment, and real-time and dynamic optimization can be realized on path and resource scheduling.

The invention discloses a flight fly-around path planning and evaluation method under a severe weather condition, and the method comprises the steps: obtaining a meteorological distribution diagram and all planned flight paths, judging whether each planned flight path is affected by weather according to the meteorological distribution diagram, dividing the planned flight paths affected by weather as abnormal flight paths, and carrying out the calculation of the abnormal flight paths. Dividing the planned track which is not influenced by weather as a normal track; for each abnormal track, planning a plurality of pre-selected tracks by avoiding weather influence according to an A * algorithm in combination with the meteorological distribution map, calculating a comprehensive score of each pre-selected track according to the meteorological distribution map, selecting the pre-selected track with the highest score to replace the abnormal track, and classifying the replaced abnormal track as a normal track; and S3, repeating the step S2 until each planned track is not influenced by weather, and completing the path planning. According to the method, the plurality of fly-around paths are solved through the A * algorithm, and the plurality of fly-around paths are comprehensively evaluated, so that the path planning is preferentially carried out, and the problems of single concentration point and low planning efficiency of the path planning method in the prior art are solved.

The invention discloses a mountainous area meteorological rainfall supplementation observation station site selection evaluation method based on a high-influence weather influence path in the technical field of meteorological observation, and the method comprises the steps: obtaining meteorological grid point data in an observation region, screening the meteorological grid point data to obtain a rainstorm process, generating a path sequence based on the rainstorm data in the rainstorm process, and carrying out the site selection evaluation of a mountainous area meteorological rainfall supplementation observation station. A dynamic time warping (DTW) method is adopted to generate an influence area with a widened rainstorm path, and grid point rainfall forecast error data is generated based on multi-source forecast data and station meteorological data. According to the invention, by extracting the evolution path of the rainstorm process in time and space and combining the multi-source mode forecast error, the regional rainfall distribution, the existing station network density, the topographic feature and the settlement distance element, the evaluation method can be dynamically quantified and the monitoring demand and cost constraint can be balanced; the problems of data missing in the initial stage of a rainstorm system, insufficient upstream observation of a weather system path, insufficient station network coverage rate and weak data representativeness are solved.

The invention relates to a physical information guidance artificial intelligence weather forecast method and device for a wind power plant. Comprising the steps that first historical data of multiple key meteorological elements in a target wind power plant are acquired, and the influence degrees of the multiple key meteorological elements on weather in the target wind power plant are all larger than a preset threshold value; performing weather prediction on the first historical data of the multiple key meteorological elements by using a weather prediction model of the target wind power plant to obtain predicted weather data of the target wind power plant at a future moment; the weather prediction model is pre-trained through the various meteorological parameters of the coarse resolution mode, and then fine adjustment of the fine resolution mode is realized by using the historical data of the various key meteorological elements having great influence on the weather, so that the micro-scale weather prediction model is obtained to adapt to weather prediction of the corresponding wind power plant; the method improves the resolution and efficiency of weather prediction, reduces the consumption of computing resources, and reduces the cost of weather prediction.

The invention relates to a model for automatic driving image segmentation under challenging weather conditions, said model comprising an encoder and a decoder corresponding to the encoder. The model is specially used for automatic driving scene graph segmentation under extremely severe weather conditions. Coordinate attention is used to carefully encode spatial information, complex cross-dimensional interaction between spatial and channel dimensions in input is captured in combination with triple attention, and exhibition attention is used to encode fine-grained features and context nuance as marks. In a scene influenced by weather, the model of the invention can skillfully capture fine features such as fog, snow and rain, thereby facilitating identification of objects in challenging environments. Practical tests prove that the method can clearly segment the input image and identify buildings, automobiles and sidewalks, and the method is very close to the actual ground condition in the aspect of prediction.

The application relates to the technical field of robot navigation, in particular to an autonomous decision optimization method for an aerial robot. Flight environment data are acquired, an obstacle density factor, a weather influence factor and a height risk factor are calculated, and environment influence parameters are generated to be used for dynamically adjusting a control strategy; a hybrid control framework is constructed, containing two parallel branches of global path tracking control and local obstacle avoidance control, and the control weight is dynamically adjusted according to the environment influence parameters; a three-layer hierarchical control architecture is established, including a macro task constraint layer, a medium maneuver decision layer and a micro flight control layer, the upper layer constraints are converted into bottom layer control instructions through a control constraint propagation mechanism, and consistency and safety verification are carried out; a state-weight mapping controller is adopted, the multi-objective optimization weight coefficient is dynamically adjusted according to a real-time state vector, and optimal control instructions are generated. The application improves the autonomous decision-making ability and flight safety of the aerial robot in a dynamic environment.

The invention relates to the technical field of intelligent regulation and control, in particular to an intelligent regulation method and system for a high-waterproof metal enclosure structure, and the method comprises the following steps: calculating weather influence and comparing a threshold value, transmitting a closing signal when the weather influence exceeds the threshold value, recording state generation control information, recognizing load abnormity and adjusting power, monitoring a deviation trend, and marking an abnormity generation early warning result. The weather influence strength index is established by calculating the wind speed change rate and the rainfall change value, rapid response to extreme weather can be achieved, water seepage caused by delayed closing of the skylight is avoided, a disturbance suppression mechanism is established by combining angular position and stress data, the structural stability in the opening and closing process is guaranteed, and the service life of the skylight is prolonged. By means of comparison of multi-frame displacement and current amplification, transmission load abnormity can be accurately recognized, a driving part is made to operate more stably, trend recognition of the long-period abnormal state of the hoist mechanism can be achieved through quantitative statistics and residual value mapping of the angle deviation trend, and risk early warning is carried out in advance when the deviation rate continuously exceeds the limit.

The application discloses a high-thick-brick city wall surface layer weathering prevention method and belongs to the field of historical building protection. The weathering prevention method controls the chemical reaction of a hydrophobic material, reduces the mass of hydrophobic substances generated by the chemical reaction in the penetration process, avoids the influence of the penetration process of weak hydrophobic substances on the penetration coefficient of the city wall surface layer bricks, prolongs the penetration time of the hydrophobic material, improves the penetration depth of the hydrophobic material in the city wall surface layer, weakens the dry shrinkage reciprocating change, realizes the deformation and stress coordination of the waterproof layer of the city wall surface layer and the internal wall body, avoids the stress concentration phenomenon of the waterproof layer shell, further achieves the purpose of preventing the weathering effect of external rain and snow immersion into the city wall surface layer and limiting the salt accumulation caused by the evaporation of the water in the city wall, realizes the purpose of deeper penetration of the hydrophobic material into the city wall, and solves the weathering diseases of the high-thick-brick city wall.

The present invention discloses a method, system and equipment for patrolling, monitoring and early warning of the entire route of highway maintenance and management, and belongs to the field of video monitoring technology. The equipment includes an intelligent terminal device capable of patrolling and moving and a monitoring sensing device at a fixed point. The intelligent terminal device is arranged on guardrails on both sides of the highway, and has functions such as patrolling, data collection, transmission, monitoring, light warning, broadcasting, and voice intercom. The monitoring sensing device is arranged in tunnels, bridges, high slopes, sharp bends, sections with poor visibility, and sections susceptible to rain and snow weather, and can realize the monitoring of images, environmental changes, topography, and real-time data of road conditions. The present invention can realize all-round monitoring and management of the entire highway through the movable intelligent terminal and the collection terminals at various fixed points, and timely collect, organize, and transmit management data such as real-time changes in road conditions, weather and environmental impacts, and driving safety status to a monitoring command and management platform.

The present invention provides a method for removing weather effects from a single image based on a generative adversarial network. The method includes obtaining a data set for training, wherein the data set includes blurred images affected by weather and clear images not affected by weather; constructing a deep learning network for learning the relationship between blurred images and clear images, wherein the deep learning network is based on a generative adversarial network, and the generative adversarial network includes a first generator for generating blurred images affected by weather and a second generator for generating clear images not affected by weather; training the constructed deep learning network using the obtained data set for training to obtain the optimal second generator as the image removal model; inputting the image to be processed into the image removal model; and processing the input image and outputting a clear image corresponding to the input image.

The invention relates to the technical field of security alarm control equipment, in particular to smart park intelligent security alarm control equipment which comprises a base, a smoke alarm and a rotating mechanism, the rotating mechanism is fixedly mounted on the base, and the smoke alarm is fixedly mounted in the rotating mechanism. The rotating mechanism drives a duplicate gear to coaxially rotate at the same frequency through a worm, a differential rotating shaft can do whole-circle motion under the cooperation of a limiting rod, then a swing support swings around a base in a variable speed mode in a fan-shaped area, and therefore more air enters a shutter grid through an air inlet. The detection of the content of particulate matters in the air in one direction is abandoned, and if the wind speed is high outdoors in a park, the equipment can be enlarged to carry out air detection in a wider angle and a larger range, so that the sensitivity of the alarm control equipment is improved, and especially in an outdoor scene or a scene with a large weather influence, the alarm control equipment can be used for detecting the air in a wider range. And the life and property safety of people is further ensured.

Freestanding, self-supporting device for protection against the elements, especially for use with a roof tent mounted on a vehicle, characterized by that the device has a load-bearing frame system, - which requires no ground anchoring or guy wires at all, - consisting of at least two telescopic support elements, - wherein the support elements are attached horizontally or diagonally to a support structure of the vehicle or directly to the base plate of the roof tent, and -where a textile covering is stretched over the frame system and connected to the roof tent via a zipper connection or an equivalent textile coupling.

The invention provides a video generation method and device, electronic equipment, a storage medium and a chip, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining a depth map video, a line map video and a contour map video of a to-be-processed video, and obtaining the target weather information needed by the to-be-processed video; splicing the depth map video, the line draft map video and the contour map video according to a video dimension channel to obtain a spliced video; generating a target video according to the spliced video and the target weather information; the target video comprises video features of the target weather information. Processing is carried out based on the video, the demand of the automatic driving scene for the time sequence video is met, the depth map video provides the scene space structure, the line draft map video defines the object edge, the contour map video defines the main body shape, the physical rationality can be improved through joint constraint of the three, the target weather information is combined, and the weather effect intensity is adjusted. And the contradiction between the intensity of the weather effect of the video and the physical rationality of the object and the motion thereof in the video is reduced.

The invention discloses a wind power generation predicted power correction method and device influenced by extreme weather, equipment and a medium, and the method comprises the steps: obtaining the current environment data of a place where a target wind power generator is located, inputting the current environment data into an environment recognition training network, and obtaining an environment recognition result; if the environment identification result simultaneously comprises an extreme weather identification result and an extreme weather identification type, determining the operation deterioration probability of the target wind driven generator; according to the extreme weather identification type, the operation power of the target wind driven generator is corrected for the first time, and first correction power is obtained; and according to the operation deterioration probability and the first correction power, carrying out second correction on the operation power of the target wind driven generator, and taking the second correction power as the target prediction power of the target wind driven generator under the current environment data. The invention belongs to the field of wind power generation power prediction. Wind power generation prediction under the influence of extreme weather can be realized.

The invention discloses a weather change method and device in a virtual environment, equipment and a medium, and relates to the technical field of games. The method comprises the following steps: displaying a master control virtual character and an enemy virtual character in a virtual environment; controlling the master control virtual role to fight with the enemy virtual role; updating the weather effect in the virtual environment to a target weather effect based on the battle information of the master control virtual character; wherein the weather effect refers to a display effect of simulating real weather. According to the method, the weather effect in the virtual environment can be updated according to the battle information of the master control virtual character, so that the weather change in the virtual environment is associated with the master control virtual character, and the immersive experience feeling of a game player in the virtual environment is improved.

The utility model discloses a rainproof bedspread for a transfer bed, which belongs to the technical field of medical protective assistive devices and comprises a detachable support, an opening is arranged at the bottom of the detachable support, a transparent plastic cover body is fixedly connected outside the detachable support, a zipper is arranged outside the transparent plastic cover body, and the transparent plastic cover body is fixedly connected with the detachable support. A first water retaining cloth strip adheres to the outer portion of the transparent plastic cover body, the first water retaining cloth strip is located on the side close to the zipper, a plurality of fixing blocks are fixedly connected to the bottom of the detachable support, a first clamping plate is fixedly connected to the bottoms of the fixing blocks, and two positioning rods are fixedly connected to the outer portion of the first clamping plate; the rainproof bedspread can effectively block rainwater permeation and ensure that the transfer work is not affected by weather, so that the transfer efficiency is improved, the detachable support is installed on the transfer bed through the first clamping plate and the second clamping plate, the connection stability of the rainproof bedspread and the transfer bed is enhanced, and the rainproof bedspread is prevented from moving to affect the rain shielding effect.

The invention relates to the technical field of photovoltaic energy storage, and discloses an energy storage system capacity configuration method integrating multiple typical weather scenes, comprising the following steps: clustering data samples according to historical data to obtain photovoltaic power generation power curves and demand power curves under n typical weather conditions; comparing the photovoltaic power generation power curve under each typical weather condition with the demand power curve under the corresponding typical weather condition to obtain a corrected capacity configuration scheme under the corresponding typical weather condition; obtaining predicted weather types of several days after the current moment; according to the voltage stability index of the power distribution network, a line fault model considering the weather influence is established, the fault probability of the photovoltaic power distribution line under different weather conditions is calculated, and a capacity configuration scheme is correspondingly adjusted and corrected; the flexibility of capacity configuration of the energy storage system is effectively improved, the energy storage loss and the operation cost are reduced, the stability of configuration scheme output is effectively ensured, and the reliability of capacity configuration of the energy storage system is improved.

The invention discloses a low-altitude traffic flow prediction method and system based on artificial intelligence. The method comprises the following steps: acquiring a complete traffic flow data set; obtaining traffic flow weight coefficients corresponding to various low-altitude aircrafts based on the complete traffic flow data set; obtaining a weather influence weight coefficient based on the complete traffic flow data set and the corresponding weather factor data set; obtaining a holiday activity traffic flow data set based on the complete traffic flow data set, and further calculating to obtain a holiday influence weight coefficient; acquiring multi-factor historical data of the target area, and correcting the multiple weight coefficients by calculating the variance of the historical data corresponding to each factor; constructing a traffic flow prediction sub-model corresponding to each factor according to the corrected weight coefficient, and training the traffic flow prediction sub-model; and obtaining a low-altitude traffic flow predicted value based on the trained model. According to the low-altitude traffic flow prediction method, more accurate low-altitude traffic flow prediction is realized by comprehensively considering various factors such as aircraft types, weather conditions, holiday and festival activities and the like.

The invention discloses a power transmission line intelligent inspection and bird repelling method and system, and relates to the technical field of bird repelling, and the method comprises the steps: S1, collecting a bird activity signal and a weather condition parameter from a foggy environment around an airport through a sensor network, and obtaining a bird gathering density and a weather influence factor; classifying the data by adopting a K-means clustering method in combination with Euclidean distance measurement and cluster center initialization, and determining a bird activity mode and a weather change trend by applying data standardization processing and iterative convergence conditions; according to the intelligent routing inspection and bird repelling method and system for the power transmission line, accurate monitoring and dynamic bird repelling are achieved through multi-technology fusion, interference of bird activities on airport safety in foggy days is effectively reduced, and the aviation operation efficiency is improved.

The invention relates to the technical field of architectural art, and discloses a process method for imitating a natural stone weathering effect, and the method comprises the following steps: S10, according to design drawing requirements and shape features of a to-be-imitated sculpture, establishing a 3D model of the to-be-imitated sculpture by using modeling software, and carrying out pretreatment; s20, according to an artistic effect demand, performing texture arrangement on the surface of the 3D model through the modeling software to obtain a texture-made 3D model; s30, the 3D model obtained after texture manufacturing is subjected to surface reduction treatment and cut and divided into pieces with the size suitable for machining of a CNC carving machine tool; s40, CNC carving path programming is carried out on the cut and divided 3D model through carving software, and a machining path code is obtained; s50, performing numerical control engraving on the engraving material according to the processing path code to manufacture a prototype; s60, the prototype is spliced, repaired and polished, and a production mold is manufactured; and S70, producing a product based on the production mold, and treating the surface of the product to achieve the effect of imitating natural stone weathering.

The utility model relates to a green brick sunshine shed, which belongs to the technical field of buildings, and comprises a shed body, the top of the shed body is provided with a roof capable of ensuring sunshine and shielding wind and rain, and the bottom of the roof is fixedly provided with a plurality of support columns capable of improving the overall stability of the sunshine shed. The front side wall and the rear side wall of the greenhouse body are each provided with a plurality of ventilation assemblies for guaranteeing air circulation, and cross beams are fixed between the multiple supporting columns. According to the green brick sunshine shed, the arrangement of the roof can ensure that the interior is not affected by rainy days, meanwhile, green bricks are protected in all directions through cooperation with the shed body, the green bricks are prevented from being affected with damp, rainwater invasion can be prevented through the ceiling and the diffuse reflection film, meanwhile, illumination uniformity can be further promoted, and therefore the sunshine curing effect of the green bricks is improved; according to the sunshine shed, the stability of the green brick drying effect can be improved through cooperation of the multiple ventilation assemblies, the sunshine shed can prevent green bricks from being affected by weather through mutual cooperation of the diffuse reflection film and the ventilation assemblies, and therefore the airing effect of the green bricks is improved.

The invention relates to an artificial influence weather effect quantitative evaluation method and device, equipment and a medium. The method comprises the steps of obtaining artificial influence weather observation data, and performing preprocessing to obtain a unified time-space lattice point field and observation data error distribution; performing physical fingerprint extraction processing on the unified time-space lattice point field to obtain a physical fingerprint set; extracting a historical observation sequence and an environment vector corresponding to the historical observation sequence from the unified time-space lattice point field, and generating an anti-fact time-space field by using a pre-training condition generation model; estimating an overall processing effect according to the unified time-space lattice point field, the physical fingerprint set and the anti-fact statistics, and decomposing the overall processing effect into an indirect effect and a direct effect to obtain a weather influence attribution result; and according to a weather influence attribution result, combining observation data error distribution, physical fingerprint confidence and anti-fact uncertainty to carry out uncertainty propagation so as to obtain an artificial influence weather quantitative report. By adopting the method, quantification of manual influence on weather can be obtained according to a hidden physical mechanism of weather change.

The application discloses a traction method and device, a tractor and a docking control system. The method is used for controlling the docking of a tractor and an aircraft. A positioning sensor is connected to the tractor. When docking, the positioning sensor is fixed on the aircraft. The traction method comprises the following steps: acquiring positioning data between the tractor and the aircraft sent by the positioning sensor; and controlling the docking of the tractor and the aircraft according to the positioning data between the tractor and the aircraft. The positioning sensor is arranged on the tractor. When the first docking device and the second sensor are docked by self-moving, the positioning sensor is arranged on both sides of the second docking device. Thus, the weather influence on the radar and image methods is avoided, the positioning accuracy is improved, and the cost of the positioning sensor is lower than that of the radar or the image acquisition camera.

For the purpose of creating a motion detector B whose visual inconspicuousness and susceptibility to defects due to penetrating moisture are reduced, a motion detector B comprising a housing G and an interface for connection to a building's power supply is proposed, wherein the motion detector B includes a radar sensor R for detecting a motion event, wherein the motion event is an outdoor motion event Y, and the motion detector B is dimensioned and designed to be suitable for flush-mounted installation in a junction box D, for example behind an electrical / electronic installation device I, inside a building, so that the motion detector B is invisible outside the building and protected from the elements.

The invention relates to the technical field of road measurement, in particular to a portable accurate measuring instrument for road construction, which comprises a box body and the like, a cylinder is fixedly connected to the dead center in the box body, a lifting plate is connected in the cylinder in an up-down sliding manner, a rotating plate is rotatably connected in the lifting plate, and a measuring instrument for measurement is mounted on the rotating plate. The lifting plate is driven by a lifting mechanism to slide up and down, a shielding plate used for shielding the measuring instrument from sun and rain is arranged at the top of the box body, and the shielding plate is connected with the lifting plate through a connecting plate. The device is provided with the shielding plate and other parts, the shielding plate is used for shielding the measuring instrument, a sunshade effect is achieved in the burning sun, a rain shielding effect is achieved in rainy days, and the measuring instrument is prevented from being damaged due to the influence of external weather.