63 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 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 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 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 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 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 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.

Air guide element (12), preferably roof spoiler, for a motor vehicle (26), comprising: an air guide body (14) having a trailing edge section (20) angled towards the inside of the air guide body (14); and a sensor (16) which is carried on the inside of the air guide body (14) and is set back with respect to the angled trailing edge section (20), wherein the sensor (16) is set back with respect to the angled trailing edge section (20) such that the angled trailing edge section (20) shades the sensor (16) and / or protects the sensor (16) from weather influences, wherein: the air guide body (14) has an outer shell (14A) and an inner shell (14B) attached to it; the outer shell (14A) has the angled trailing edge section (20); and the sensor (16) is carried on the inner shell (14B).

This application discloses an image processing method, apparatus, device, storage medium, and program product. The method includes: acquiring weather effect information; matching the weather effect information with weather information of the vehicle's environment; generating a target image based on the weather effect information; and adjusting the weather effect information in the target image based on the vehicle's current driving information during the display of the target image.

The invention discloses a suburb greenway-oriented riding motion planning method, system, device and medium, and the method comprises the steps: carrying out the feature extraction of earth surface image data, and obtaining the topographic features; generating a pavement difficulty coefficient according to the topographic features and the elevation data; predicting the rainfall probability and the wind speed change based on the real-time meteorological data so as to obtain a weather influence factor; analyzing the physiological data of the user to obtain a heart rate variability rate and a pedaling frequency decrease rate so as to generate a fatigue index; obtaining a path node sequence of the candidate route according to the road difficulty coefficient; calculating the visibility attenuation value of each path node according to the weather influence factor, and extracting the riding time cumulant in the fatigue index; and correcting the path node sequence according to the visibility attenuation value and the riding duration cumulant to obtain a first optimized route set.

The invention relates to an intelligent warehousing method for surge protectors, and aims to solve the problem of damage risk caused by neglect of environmental sensitivity characteristics of products in a traditional warehousing system. According to the method, accurate management is achieved through three-stage closed-loop control, storage parameters are obtained, product characteristic parameters are injected, a dynamic risk portrait is generated in combination with real-time weather data, and a humidity risk index amplifies the sudden weather influence through a label weight function. Secondly, classifying the parameters by adopting a hierarchical clustering algorithm, endowing the product characteristic parameters with the weight greater than or equal to 60%, and ensuring that high-sensitivity products are preferentially gathered into a low-risk reservoir area; the storage strategy can be dynamically adjusted according to the environment tolerance characteristic of the product, and it is ensured that the high-sensitivity product is preferentially allocated to the low-risk storage area. The real-time weather data and the risk portraits are combined, so that the warehouse management system can pre-judge environmental threats in advance and trigger regulation and control instructions. And a weight constraint-based classification mechanism optimizes the resource allocation of the reservoir area, so that the damage risk of the product caused by uncomfortable environment is effectively reduced.

The utility model belongs to the technical field of weather station fixing devices, and particularly relates to a portable ice surface weather station fixing device which comprises a telescopic assembly, a monitoring head is fixed to the extending end of the telescopic assembly, and a plurality of supporting legs are arranged at the end, away from the monitoring head, of the telescopic assembly. The fixing assembly is arranged at the end, close to the ground, of the supporting leg, and the fixing assembly comprises a drilling assembly and an inserting assembly; the drilling-in assembly comprises a torsion head, the torsion head is hinged to the end, close to the ground, of the supporting leg, a rotating shaft is rotationally connected into the torsion head, a drilling-in cylinder is fixed to one end of the rotating shaft, an inserting assembly is arranged in the drilling-in cylinder and comprises a plurality of inserting teeth, and penetrating holes corresponding to the inserting teeth in number and position are formed in the drilling-in cylinder. The insertion teeth extend from the through holes and are inserted into the ice layer. The weather station can be effectively prevented from being loosened from the ice surface, the stability of the whole weather station fixed on the ice surface is enhanced, and the weather station is not affected by severe weather in the region and normally collects meteorological data.

This invention provides an image recognition method and system based on weather modification. First, a meteorological image dataset containing multiple time-series original meteorological images of a target area is acquired. Then, feature extraction processing is performed on the original meteorological images to obtain the distribution characteristics and dynamic evolution characteristics of meteorological elements. Next, based on a preset weather impact analysis model, weather impact analysis is performed on the aforementioned distribution characteristics and dynamic evolution characteristics to generate weather intervention decision features. Finally, an artificial weather modification operation strategy is generated based on the weather intervention decision features and sent to the operation execution equipment to trigger meteorological intervention operations. This allows for comprehensive and in-depth analysis of meteorological image features, scientifically and accurately generating operation strategies, and improving the effectiveness and efficiency of artificial weather modification operations.

The present application relates to a kind of elimination weather influence enterprise electricity consumption prediction method.The present application is according to the influence of weather condition, production mode and non-production mode on enterprise electricity consumption, analyzes the characteristics of enterprise electricity consumption fluctuation with weather condition, uses the Transformers model improved based on global block self-attention mechanism to predict the expected value of enterprise electricity consumption, compared with the traditional attention mechanism, it is more suitable for the improvement of this task.The present application proposes the way of embedding weather characteristics into electricity consumption and using global block self-attention processing mechanism to process electricity consumption data embedded with weather characteristics is more suitable for processing engineering tasks of enterprise electricity consumption, the proposed method takes into account the advantages of segmented method, i.e., the amplitude and shape error of prediction is low, high reliability, greatly simplifies the design complexity of subsequent task.

The utility model discloses a sand pit protection structure which comprises a support arranged on the outer side of an external sand pit. The lifting module is arranged on the support and provides lifting driving force; and the protective cover is arranged at the output end of the lifting module and is driven by the lifting module to ascend and descend. According to the utility model, rainwater invasion can be effectively resisted, the sand pit is protected from weather influence, and the sand pit can be quickly recovered to a use state under any weather condition.

The application discloses a multi-weather degraded image recovery method based on a state space model. The method comprises the following steps: acquiring multi-scene clear images and synthesizing images under rain, snow and fog weather conditions by using an image synthesis technology to construct a standard multi-weather dataset; dividing the dataset after preprocessing; constructing a multi-weather degraded image recovery model based on a state space model, and training and optimizing the model; acquiring images degraded due to weather influence and preprocessing the images; inputting the preprocessed images into the pre-trained multi-weather degraded image recovery model for recovery, and outputting the processed clear images. The application is based on a state space model, introduces an adaptive channel attention mechanism, enhances the network's ability to capture local features of images, and can effectively process images of various scales through overlapping block embedding and multi-scale processing strategies, thereby significantly improving the performance of image recovery. The method of the application can process image recovery tasks of various weather degradations including but not limited to rain, snow and fog, and has a wide application prospect.

The embodiment of the invention provides a weather control method and device in a game scene, electronic equipment and a storage medium, and relates to the technical field of games. The method comprises the following steps: acquiring a position coordinate of a game player in a game scene, determining a target weather level from a plurality of preset weather levels based on a space region to which the position coordinate belongs, and generating a weather effect according to a weather generation mechanism of the target weather level. Therefore, cross-spatial-scale accurate weather control can be realized, and the sense of reality and interaction experience of a game scene are improved.