96 results about "Typhoon" patented technology

This invention relates to the field of wind power output prediction technology, and particularly to a method, system, device, and storage medium for predicting offshore wind power output change windows based on typhoon forecasts. The method includes acquiring deterministic typhoon forecast data; calculating the time-series wind speed at the turbine hub height of the target offshore wind farm within the future forecast period based on a preset typhoon parameter model; setting a feathering shutdown wind speed threshold and a power generation recovery wind speed threshold for the turbines; traversing the time-series wind speeds to obtain the predicted shutdown start point and the predicted power generation recovery point, marking the period between the predicted shutdown start point and the predicted power generation recovery point as the initial output change window period; based on the initial output change window period, backtracking to verify the persistence of the upward trend of wind speed before the predicted shutdown start point to determine the precise start point of the window period; and extending backward to verify the stable recovery trend of wind speed after the predicted power generation recovery point to determine the precise end point of the window period.

This invention discloses a method and system for configuring and restoring flexible resources and mobile energy storage in a power distribution network, belonging to the field of smart power distribution network technology. Based on a typhoon wind field and wind and rain load model, this invention constructs a time-varying failure rate for power lines and uses Latin hypercube sampling to generate a set of failure scenarios. Typical scenarios are obtained through scenario reduction. Based on the failure scenarios, in the pre-disaster stage, the invention identifies the deployment locations of smart soft switches (SOPs) and mobile energy storage systems (MESSs) that minimize the sum of pre-disaster investment costs and post-disaster recovery period weighted load shedding costs. In the post-disaster stage, time-varying accessibility constraints are constructed based on road travel time preprocessing results, establishing a collaborative recovery model that includes SOP operation, network reconfiguration, and MESS time-varying scheduling. This invention, based on the collaborative configuration and post-disaster control of flexible resources and mobile energy storage, effectively reduces the configuration cost of the power distribution network while improving its support and recovery capabilities in the face of extreme disasters such as typhoons.

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 application discloses a kind of typhoon working condition under fan fatigue damage fast evaluation method and device, belong to wind turbine state evaluation field.The method is first set up the turbulence intensity of typhoon turbulent wind field, average wind speed range and power spectrum and space coherence model type, obtain multiple sets of wind speed characteristic combination parameters, using turbulent wind field simulation model constructs each parameter combination corresponding fan global random turbulent wind field environment;Subsequently, in combination with multi-stage fan control strategy, simulate fan structure response, generate composite bending moment time series, and evaluate based on fatigue damage calculation model;Fatigue damage average is obtained by simulating the load of multiple random structure responses, traverse all wind condition parameters, obtain global fatigue damage result and fit to form fast evaluation model;Finally, the target wind condition data is substituted, realizes the fast evaluation of fan fatigue damage degree under typhoon condition, provides technical support for fan safety analysis, operation state evaluation and typhoon damage calculation.

This invention discloses an intelligent UAV patrol decision-making method based on image recognition and semantic analysis after a typhoon disaster. The method includes: acquiring multi-source post-typhoon data and preprocessing it to form multi-modal post-disaster basic data; performing semantic analysis on disaster reporting and repair text data to extract typhoon characteristic information, affected equipment information, and prone-to-fault information to generate prior disaster information; fusing and analyzing the prior disaster information with equipment operation data to determine the suspected damage status of each piece of equipment or section to be inspected and key inspection targets; generating UAV patrol routes by combining equipment ledger data, meteorological data, and UAV operation constraints; controlling the UAV to collect target images and performing image enhancement and image recognition to obtain equipment damage identification results; generating post-disaster patrol decision results based on the identification results and transmitting them back to the repair command platform. This invention can improve the accuracy of post-disaster patrol target selection, the robustness of image recognition, and the efficiency of repair resource allocation.

The application provides a typhoon historical disaster case matching method and device, computer equipment and medium, and relates to the field of data processing. The method comprises the following steps: acquiring real-time disaster data of a current typhoon disaster; inputting the real-time disaster data into a pre-trained water conservancy large model, and outputting a target typhoon historical disaster case matched with the real-time disaster data through the water conservancy large model; specifically, extracting first multi-dimensional features of the real-time disaster data and converting them into a first feature vector; calling a first typhoon historical disaster case preliminarily matched with the real-time disaster data, extracting second multi-dimensional features of the first typhoon historical disaster case, and converting them into a second feature vector; screening second typhoon historical disaster cases meeting the constraint conditions of water conservancy projects from the first typhoon historical disaster case; calculating the similarity between the real-time disaster data and each second typhoon historical disaster case; and determining the matched disaster case according to the similarity from high to low.

This invention relates to the field of power system fault quantification technology, and discloses a method, system, equipment, and medium for quantifying distribution network line faults under typhoon weather. It calculates the wind-induced fault rate of distribution network lines by constructing a wind field correction model that incorporates micro-topography correction factors and wind direction-line angle correction factors. With the goal of minimizing power outage losses in the distribution network, a coupled influence model of transmission network faults on the distribution network line fault rate is constructed and solved to obtain the optimal load shedding amount for each load node in the distribution network and its corresponding operational constraint boundary. Under this boundary, the random process of load shedding allocation and load transfer of faulty lines within the distribution network is simulated using a double Monte Carlo sampling method, and the probability of line cascading faults caused by transmission-distribution coupling is calculated based on the simulation results. The combined time-varying fault rate and type of distribution network lines are determined by integrating the two fault rates, achieving accurate quantification of distribution network line faults under the influence of transmission-distribution coupling.

This invention discloses a drying device. The design of the base and detachable drying baskets allows for convenient loading and unloading of drying items, improving the ease of daily drying operations. The collaborative work of the rainproof mechanism, detection mechanism, and electronic control module changes the traditional passive situation of relying on manual supervision and maintenance for drying. Addressing the unpredictable weather conditions of summer, frequent typhoons, and the foggy and windy autumn, the device can sense weather changes in real time and automatically trigger protective actions. It can quickly unfold a tarpaulin to cover the drying baskets without manual intervention, preventing the dried items from getting wet from rain, being blown away by strong winds, or being damaged by fog and moisture, thus ensuring the quality of the dried goods. Simultaneously, the infrared detector and camera in the detection mechanism, along with a buzzer, can promptly detect and drive away small animals that try to steal the dried goods, reducing food waste and further minimizing losses for the public.

This invention discloses a method and system for differentiating typhoon impacts based on seawater CO2 partial pressure data. The method includes: acquiring marine situation monitoring data during typhoon passage in the target sea area through a multi-source observation platform, constructing a standardized dataset and a climatological background field; using the DBSCAN clustering algorithm to segment water masses, and combining the Man-Whitney U test and correlation analysis to determine the distribution of characteristic typhoon water masses; calculating the seawater CO2 partial pressure anomaly field based on the climatological background field, constructing a typhoon impact index time series, identifying the core impact area, and generating typhoon impact trace paths; subsequently reconstructing seawater CO2 partial pressure grid points, and constructing a spatial map of typhoon impacts; finally, analyzing the spatiotemporal changes in air-sea CO2 flux, assessing carbon sink stability, and generating a typhoon-carbon sink sensitivity zoning map. Using seawater CO2 partial pressure as the core indicator, this method overcomes the limitations of traditional methods and provides reliable technical support for assessing the marine environmental impact of typhoons.

A storm surge intelligent forecasting method integrating causal structure and graph neural network, relating to the fields of artificial intelligence and marine storm surge forecasting technology, includes: Step 1. Multi-source data fusion; Step 2. Data preprocessing and standardization; Step 3. Using UNet-LSTM to achieve fusion modeling of storm surge meteorological spatiotemporal characteristics and water level temporal characteristics; Step 4. Causal structure inference and graph structure learning; Step 5. Using graph convolutional neural network to obtain a UNet-LSTM-DGCN combined model for final storm surge water level forecasting; Step 6. Combined model training and validation; Step 7. Visualization of prediction results; Step 8. Interpretability analysis. This invention constructs an intelligent method combining dynamic graph neural networks for storm surge forecasting, effectively capturing the dynamic causal relationships in water level changes at multiple stations under the influence of typhoons. While improving forecast accuracy, it reveals the decision-making basis within the model through visualized graph structures.

The application relates to the technical field of architectural design, in particular to a metal texture slope roof suitable for tropical storm and typhoon areas, which comprises, from bottom to top, a reinforced concrete roof panel, a mortar layer, a three-layer waterproof layer, an isolation layer, a concrete protective layer and a silver gray paint layer; the three-layer waterproof layer comprises a polyurethane waterproof paint layer, an elastomer modified bitumen waterproof roll material and a hard foam polyurethane spraying layer. Reinforced anchor rings, reinforced meshes and cold-drawn steel wire meshes are all arranged in the concrete layer and have no direct contact with the atmosphere, so that corrosion and loss of effectiveness are avoided, and roof corrosion prevention is effectively realized; through the design of the three-layer waterproof layer, waterproof effect is effectively achieved, and heat preservation effect is simultaneously achieved; the metal texture slope roof suitable for tropical storm and typhoon areas is designed in the aspects of material selection, construction technology and combination reliability to adapt to tropical storm and typhoon areas, so that the requirements of roof structure on wind lifting resistance, waterproofness and corrosion resistance are met.

The application discloses a kind of physical information neural network driven ocean island typhoon scene generation method and system, comprising: collecting multi-source heterogeneous meteorological data and carrying out space-time alignment preprocessing;Build coarse scale space-time probability prediction model, utilize graph topology learning network to capture the spatial correlation of meteorological elements, integrate the state space model of linear complexity to efficiently process the long-time sequence dependence of typhoon evolution, and generate coarse resolution probabilistic typhoon scene through multivariate joint distribution probability model;Further build physical downscaling model, input coarse scale prediction result as condition, embed atmospheric fluid mechanics equation as physical hard constraint in loss function, and physically consistent downscaling is carried out to coarse scale scene;Finally output high-resolution typhoon scene with probability reliability and physical authenticity.

The application discloses a method for typhoon disaster prevention and rapid recovery after disaster in deep-sea net cage culture, which comprises the following steps: before the disaster, an unmanned aerial vehicle is used to take aerial photos of the water surface structure of the net cage by carrying a high-definition camera, and an underwater robot is used to collect underwater images by layer scanning through a sonar, so that structure data and fish school data before the disaster are generated; weak points such as framework, netting and anchor chain are analyzed and repaired and reinforced through three-dimensional modeling, the stocking density is optimized in combination with typhoon information, the risk of facility damage and fish loss is reduced, and after the disaster, the structure data and fish school data are repeated, the degree of framework damage, netting damage, anchor chain breakage and fish escape or death is compared and evaluated by taking the data before the disaster as a reference, and a grading repair scheme and disaster relief plan are generated. Through the cooperation of multiple devices and data fusion, the detection accuracy and evaluation efficiency are improved, the damaged parts are quickly located, and the recovery strategy is optimized, so that an efficient disaster prevention and reduction and rapid recovery solution after disaster is provided for the deep-sea net cage culture.

The application discloses a typhoon intensity self-adaptive correction method for offshore wind power, relates to the technical field of offshore wind power prediction and typhoon early warning, and the method firstly fuses marine monitoring data and a typhoon prediction initial field, recursively updates a typhoon center position and a maximum wind speed; then a mapping relationship between a typhoon wind field and a geographical position of a wind power plant is constructed, fine wind speeds of each machine position are obtained, and wind power generators are divided into three types of operating states, i.e., low constant speed, maximum power tracking and high constant speed, according to the wind speeds; aggregated parameters are dynamically adjusted according to different operating states, a wind energy conversion efficiency coefficient is corrected on line, and collaborative optimization is formed; when electrical parameters are detected to be abnormal, the method is switched to a correction parameter in a fault ride-through state; and the application realizes closed-loop feedback of typhoon intensity prediction and wind power prediction, and significantly improves the offshore wind power prediction accuracy and the power grid operation safety during the influence of a typhoon.

This invention discloses a combined wind and wave power generation device for offshore power generation in deep-sea typhoon-prone areas, aiming to solve the problems of insufficient dynamic stability and poor power supply continuity in existing technologies. The device includes a semi-submersible wind turbine platform and a wave power generation device. The wave power generation device is located on the jacket of the semi-submersible wind turbine platform's base and includes a lateral dominant vibration damping device, a PTO (Positioning Tolerance) device, and a first transmission rod. The lateral dominant vibration damping device is slidably connected to the jacket along its circumference and integrates an adjustable-angle water baffle. The PTO device is connected to several lateral dominant vibration damping devices via the first transmission rod, which limits the horizontal displacement range of the lateral dominant vibration damping devices. This invention maintains high resilience and efficient suppression of horizontal oscillations under extreme typhoon conditions while also ensuring power generation efficiency.

This invention discloses a method and system for determining historical similar typhoons based on large-scale environmental field similarity. The method includes: acquiring the state information of the current target typhoon and the corresponding large-scale environmental field data; processing and generating a binarized image of the target subtropical high centered on the typhoon; constructing a database of historical subtropical high binarized images; using a Bayesian network model, with subtropical high image pixel blocks as nodes, and learning their conditional probability dependencies, calculating the effective area, overlapping effective area, and similarity coefficient between the target and historical subtropical high images; then, applying spatial, temporal, and directional physical constraints to the similarity results for joint screening to obtain an optimal list of similar historical subtropical highs; finally, determining the corresponding historical typhoons and their subsequent paths based on this list as a forecast reference for the current typhoon. This method makes the similarity judgment more consistent with meteorological mechanisms and significantly improves the accuracy and operational reference value of historical similar typhoon retrieval.

The application discloses a kind of aluminium alloy sliding door and window that can resist typhoon, it is related to sliding door and window technical field, including the window frame embedded in building wall, and the inner window and outer window are connected by pulley on the lower track of window frame inside.The aluminium alloy sliding door and window that can resist typhoon, through the operation mechanism on the inner window and outer window to drive the middle lock position mechanism, upper lock position mechanism and lower lock position mechanism synchronous operation, can carry out multiple point position anti-falling locking and anti-swing protection to inner window, outer window and window frame, simultaneously through the self-locking characteristic of upper lock position mechanism, can make the upper lock position mechanism in self-locking state to middle lock position mechanism and lower lock position mechanism complete sustained locking limiting, guarantee the aluminium alloy sliding door and window under typhoon weather with multiple point position stable restriction protection effect, and lower lock position mechanism can also prevent window frame lower track from happening deformation under the vibration extrusion of inner window and outer window for a long time, prevent aluminium alloy sliding door and window from happening the problem of shaking and falling due to typhoon weather.

This invention provides a method, apparatus, and equipment for predicting storm surge hazard level parameters for typhoons, relating to the field of storm surge data processing. The method includes: acquiring target characteristic parameters of the current typhoon in the target area and a preset storm surge intensity level index comparison table for the target area; inputting the target characteristic parameters into a preset storm surge prediction model, and outputting prediction results through the preset storm surge prediction model; wherein the preset storm surge prediction model is determined using multiple sets of historical typhoon data for the current target area; and determining the hazard level parameters of the current storm surge in the current target area based on the prediction results and the preset storm surge intensity level index comparison table for the target area. The solution of this invention achieves real-time prediction of storm surge hazard level parameters for the current area under extreme environments, and has the advantages of fast prediction speed and easy interpretation of prediction results.

This invention relates to the field of wind power prediction technology, and more specifically, to a wind power prediction method considering wake effects in extreme scenarios. The method includes: generating virtual data from sample data in extreme scenarios; the sample data and the virtual data constituting an expanded dataset; constructing a wake correction model based on the expanded dataset and outputting a dynamic hypergraph of wake associations; inputting the dynamic hypergraph into a pre-constructed wind power prediction model; extracting spatiotemporal correlation features; training the wind power prediction model based on the expanded dataset; and predicting wind power using the trained wind power prediction model. This invention reduces the amount of training data required for the model. Compared to conventional wake models, the wake correction model reduces the wake radius prediction error and improves power prediction accuracy. It is particularly suitable for predicting wind power in extreme scenarios such as typhoons and strong turbulence, and can serve as a basis for grid connection and dispatch decisions.

The application provides a risk assessment method and system for a typhoon-induced dangerous chemical product accident, and belongs to the field of dangerous chemical product safety assessment, and comprises the following steps: obtaining typhoon path and typhoon intensity information, and constructing a typhoon disaster intensity calculation model; determining a failure probability of each dangerous chemical product facility in the typhoon disaster intensity calculation model; determining an accident type and an accident range according to the type of the dangerous chemical product facility; determining a domino cascade accident probability of other dangerous chemical product facilities according to the failure probability of the dangerous chemical product facility and the accident type; obtaining a risk assessment result of the dangerous chemical product facility according to the failure probability of each dangerous chemical product facility and the domino cascade accident probability of the surrounding dangerous chemical product facilities; and determining a dangerous chemical product accident risk assessment result according to the risk assessment result of each dangerous chemical product facility. The method couples the failure probability of the facility itself under the environment and the failure probability caused to the facility after the surrounding accidents, and improves the assessment accuracy.

This invention discloses a system for predicting the cumulative deformation of a barrel foundation under typhoon load, comprising a data acquisition module, a core prediction module, and a result output module. The core prediction module employs a prediction framework based on dynamic data assimilation. Through an integrated ensemble Kalman filter algorithm, it iteratively fuses the physical model of the barrel foundation with real-time monitoring data, dynamically updating the model state and key soil parameters, thereby achieving adaptive and high-precision prediction of future cumulative deformation. Simultaneously, the system is supplemented by a multi-source data fusion mechanism that considers data quality to ensure the robustness of the prediction process. This invention effectively solves the technical problem that traditional methods struggle to accurately predict the nonlinear cumulative deformation of barrel foundations during typhoons in real time.

The application discloses a high-rise building cluster typhoon resistance resilience prediction method based on a double-flow convolutional neural network, and aims to solve the problem that the existing high-rise building cluster typhoon resistance resilience prediction method based on physical simulation cannot meet the large-scale rapid prediction demand.The prediction method comprises the following steps: 1, a typhoon time series is combined with a virtual high-rise building cluster to obtain a virtual typhoon disaster scene, and the typhoon resistance resilience indexes of each building in the virtual high-rise building cluster are calculated; 2, the preprocessed typhoon time series and the building cluster space configuration are taken as input data, and a pixel-level label image of the typhoon resistance resilience indexes is taken as output data to construct a data set; 3, a double-flow convolutional neural network model is constructed; and 4, the double-flow convolutional neural network model is trained.Through the technical path of "simulated generation of a data set-double-flow network fusion of space-time features-end-to-end mapping of output resilience distribution", the high-rise building cluster typhoon resistance resilience under typhoon disasters is rapidly and accurately predicted.

This invention discloses a safety assessment method and system for typhoon-resistant wind turbines in various application scenarios, within the field of wind turbine equipment testing. The method includes: selecting a conventional wind turbine and using the product of the upper load limit and the safety design margin as the extreme load for the typhoon-resistant wind turbine; extracting three-dimensional wind speed statistical indicators and spatiotemporal distribution characteristics of the turbulent wind field, simulating the turbulent wind environment under real typhoon conditions, including three-dimensional step-size wind speed time-series data; employing a wind turbine structural component load simulation model, calculating the load time-series data of key structural components of the typhoon-resistant wind turbine according to real-world typhoon-resistant control strategies; calculating the vulnerability parameters and fatigue damage parameters of the typhoon-resistant wind turbine based on the load time-series data of the structural components; and assessing the safety of the typhoon-resistant wind turbine in its application scenarios based on the vulnerability parameters and fatigue damage parameters. This invention addresses the lack of environmental safety assessment parameters in existing technologies, providing support for the construction of offshore wind power plants.

This invention proposes a method for predicting tree fall specifications based on historical meteorological data and UAV post-disaster inspection surveys. It integrates historical typhoon data, UAV inspection data, and geographic information data to form a comprehensive and multi-dimensional dataset. Through in-depth analysis of various influencing factors, key features are identified, and advanced machine learning methods such as regression and deep learning models are used to construct the model. Simulation optimization is employed to handle complex data relationships, improving prediction accuracy and reliability. Scientific evaluation indicators such as accuracy, recall, F1 score, and mean squared error are set, and k-fold cross-validation is used to comprehensively evaluate the model's generalization ability. Grid search and random search methods are used to fine-tune the model parameters. The constructed real-time monitoring and early warning system, along with post-disaster response and recovery strategies, effectively reduces tree fall damage and plays a positive role in protecting urban greening and the ecological environment.

The utility model discloses a kind of reflective cone windproof fixing devices, belong to airport ground support equipment technical field.It include trolley body, multiple reflective cone body and fixed component, multiple the reflective cone body is stacked and placed on the trolley body, the fixed component is installed on the trolley body.A kind of reflective cone windproof fixing device of the application, by the combination design of iron ring, iron chain and hook, reflective cone can be firmly fixed on trolley body, effectively prevent under adverse weather such as gale, typhoon, reflective cone is blown displacement, to avoid the security risk that reflective cone intrudes taxiway or runway etc., the device adopts trolley form, it is convenient for ground crew to move and deploy reflective cone quickly, compared with traditional manual recovery mode, greatly save manpower and time, improve operating efficiency.Under emergency weather warning condition, the recovery or deployment work of reflective cone can be quickly completed, meet the demand of airport rapid response.

This application provides a method, apparatus, and electronic equipment for power distribution network resource scheduling under typhoon disasters, relating to the field of resource scheduling decision-making technology. The method includes: acquiring real-time operating parameters of the typhoon within the power supply area, and a preset typhoon resistance index for the power supply area. Then, based on the real-time operating parameters and the preset typhoon resistance index, a risk weight for the power supply area is calculated. Based on the risk weight and the preset power transmission cost from the power supply area to other power supply areas included in the distribution network, a risk quantification function is constructed for the coverage area of ​​the distribution network. Further, preset constraints are set for the risk quantification function, and the risk quantification function is solved to obtain the target power scheduling decision and the target power output. Based on the target power scheduling decision and the target power output, distribution network resources are scheduled. The method of this application can achieve dynamic optimization scheduling of distribution network resources under typhoon disasters.

The present application relates to the field of intelligent ships, and discloses a ship route and speed joint planning method. The method in the present application comprises: on the basis of a standard Theta* algorithm, obtaining an improved dynamic Theta* algorithm by detecting meteorological data in real time. An initial route is determined by using the improved dynamic Theta* algorithm, wherein the initial route reaches from a starting point to a target point without passing through an obstacle grid, and real-time meteorological data at each position satisfies a ship navigation condition. The initial route is optimized by using a route-speed joint optimization method, so as to obtain an optimized route and an optimized speed. By detecting obstacles and dynamic meteorological data on a navigation path in real time to plan an initial route, obstacles and severe weather such as typhoons can be accurately avoided, thereby greatly imporoving the navigation safety, and laying a solid foundation for subsequent optimization steps.

This invention provides a hinged, multi-condition distribution box enclosure for smart grids, relating to the field of distribution box technology. It includes a distribution box cabinet with a fixed corrugated back panel on the back for enhanced wind pressure resistance. This provides stable anti-deformation support for the back of the cabinet during typhoon conditions, adapting to the extreme weather protection needs of islands. Both sides of the cabinet are equipped with side panel flipping mechanisms. This invention features flip-up side panels that can rotate 180° around a sliding pivot. Combined with the fixed corrugated back panel on the back of the cabinet, under extreme typhoon conditions, the corrugated flip panel can face outwards, forming a three-sided corrugated wind pressure-resistant structure to withstand typhoon impacts. Under normal conditions, the electromagnetic shielding layer can face outwards, avoiding the accumulation of salt crystals and hindering heat dissipation in the corrugated structure. This completely solves the industry pain point that fixed enclosures in island scenarios cannot simultaneously achieve wind pressure resistance, heat dissipation, and salt spray corrosion resistance.