8 results about "Ocean winds" patented technology

This invention provides a full-physics field simulation test device and method for shipborne aircraft fuel fires based on wind-wave coupling effects, relating to fire safety. The device includes: a shipborne aircraft simulation component comprising an aircraft support, fuel tank, attitude adjustment mechanism, and at least one ammunition simulator; a ship simulation component comprising a fuel pan and a swing mechanism connected to the fuel pan; a sea breeze environment simulation component comprising a water mist spraying mechanism and a fan; and a data acquisition system for collecting data on the wind field, flame, and surface temperature and radiant heat flux of the ammunition simulator under wind-wave coupling conditions, thereby quantifying the degree of thermal stimulation of the ammunition under different operating conditions. The beneficial effects of this invention are: it enables the simulation of dynamic ammunition thermal exposure of shipborne aircraft under ocean wind-wave coupling conditions, filling the research gap in existing technologies that can only simulate static ammunition thermal exposure, and enabling a systematic study of the impact of ammunition attitude changes on the uniformity of thermal exposure.

A computing apparatus that is integrated within a flotation module, the system obtaining the energy required to power its computing operations from waves that travel across the surface of a body of water on which the flotation module sets. Additionally, the self-powered computing apparatus employs novel designs to utilize its close proximity to the body of water and / or to strong ocean winds to significantly lower the cost and complexity of cooling their computing circuits.

The application discloses a comprehensive evaluation method and system for offshore sea conditions, and relates to the technical field of ocean hydrology and ocean wind energy resource utilization. The method comprises the following steps: acquiring initial data sets of a wind field, a coastline, water depth and a tidal level of a sea area to be researched, and generating a prediction data set through a numerical model of bidirectional coupling of hydrodynamic force and waves; iteratively adjusting model parameters by adopting a layered hyperparameter optimization strategy, and combining measured data to control the relative error within 5%; generating extreme working condition data by fusing a typhoon field and a background wind field, and comprehensively analyzing characteristic parameters of tides, waves, tidal currents and storm surges of prediction data output by the model to generate a sea condition comprehensive evaluation report. The application improves the model parameter calibration efficiency and simulation accuracy, reduces the survey cost of offshore sea condition evaluation, and can be widely applied to site selection and feasibility analysis of offshore engineering such as offshore wind power and port construction.

The application discloses a kind of ocean wind turbine communication reliability guarantee method and system, wherein, method is periodically detected to the communication link between PLC controller and SCADA server, obtains heartbeat signal and link quality parameter, according to the change trend of link quality parameter, communication quality is predicted, and communication state is divided into normal communication state, weak communication state and communication interruption state.Preventive data buffering is started in weak communication state and dynamically adjusted upload strategy;When communication interruption, operating data is stored to local cache database according to emergency level, important level and ordinary level;After communication recovery, breakpoint continuation is transmitted according to priority order, and data consistency check is carried out according to receipt reply.The application can realize the hierarchical reliable transmission of wind turbine operating data in the weak network environment of ocean, eliminate the data loss window caused by passive response, and ensure the priority protection of key safety data.

This invention discloses a combined marine wind and wave power generation device, relating to the technical field of wind power generation devices. The combined marine wind and wave power generation device of this invention includes a combined power generation foundation installed on a marine slope; a generator set mounted on top of the combined power generation foundation with screws; and a combined wind and wave gas propulsion structure connected to the shaft end of the generator set. The top end of the combined wind and wave gas propulsion structure extends to the marine slope, and the bottom end extends into the ocean. The combined wind and wave gas propulsion structure includes a circulating air box assembly installed inside the combined power generation foundation and connected to the shaft end of the generator set, with the bottom end of the circulating air box assembly extending into the ocean. In this invention, wind energy and wave energy in a marine environment can be used independently or in combination as needed, ensuring efficient and continuous power generation in various environments, thus improving the effectiveness and capacity of marine energy power generation.

The application belongs to the technical field of wind measurement laser radar, and particularly relates to a laser radar ocean wind field low signal-to-noise ratio inversion method and system. In view of the problem that the coherent Doppler wind measurement laser radar has low signal-to-noise ratio and it is difficult to accurately estimate the radial wind speed under the condition of weak echo in the ocean measurement environment, the method firstly standardizes the received complex signal and converts the Doppler spectrum to extract the initial radial wind speed. Then, a mixed probability density model composed of Gaussian distributed signal components and uniformly distributed noise components is established to realize signal and noise separation. On this basis, by constructing an objective function and performing grid optimization search in a two-dimensional wind vector space, the best wind speed vector estimation value is determined. The application can effectively filter out the influence of the ocean atmospheric background noise on the inversion result, and significantly improve the wind measurement accuracy and effective detection distance of the laser radar in the low signal-to-noise ratio ocean environment.

This invention discloses a numerical forecasting method and apparatus for marine wind energy combining artificial intelligence, belonging to the field of marine wind energy numerical forecasting technology. The method includes acquiring and assimilating initial multi-source heterogeneous data of the target sea area to generate a standardized meteorological and hydrological field. Then, a deep spatiotemporal feature extraction network is used to complete multi-scale feature learning, capturing the spatiotemporal evolution pattern of wind energy parameters. The physical laws of ocean-atmospheric motion are transformed into loss function terms to constrain network learning, constructing a physically enhanced forecasting model. A causal intervention mechanism is used to simulate the intervention effect of atmospheric circulation background on the local wind field, forming a causally interpretable forecasting model. Real-time observation data is input to deduce multi-level wind energy parameter forecast sequences, and uncertainty quantification generates probabilistic forecast products with confidence intervals. This method addresses the problems of missing physical constraints and insufficient causal interpretability in existing forecasting models, optimizing the rationality and reliability of wind energy forecasts.

The application provides a floating wind power multi-field coupling calculation method based on SPH-DEM, and belongs to the field of ocean wind power engineering. The method simulates the hydrodynamics of seawater by SPH, analyzes the contact mechanics behavior of the floating body and the anchor chain by DEM, integrates the MoorDyn module to calculate the anchor chain tension, and constructs a fluid-structure-anchor chain coupling framework. The implementation includes: establishing the SPH and DEM models, setting the boundary and initial parameters; using GPU parallel technology to perform fluid, structure and anchor chain simulation; realizing multi-physical field coupling through data interaction, and dynamically adjusting the step length to ensure the stability of the calculation combined with the CFL criterion. Compared with the CFD and FEM methods, the method has both efficiency and accuracy, is suitable for response analysis and stability evaluation of floating wind power in extreme sea conditions, and the innovation lies in breaking through the multi-scale coupling calculation problem and realizing the collaborative calculation of the structure and the mooring system in a complex sea area.