25 results about "Grid generator" patented technology

The invention discloses a scene preprocessing method for fire simulation, and relates to the technical field of building fire simulation, and the method comprises the steps: calculating a three-dimensional thermal weight through employing a fire propagation dynamics model, and generating a fire dangerous region thermal diagram; through a tensor field generation algorithm, fire behavior main diffusion direction and each axial anisotropic parameter are extracted, and fire behavior grid parameters are generated; through a hybrid grid generator, performing hexahedron dominant grid construction and increasing the grid density of a fire behavior dangerous area to obtain a fire behavior optimization hybrid grid; performing Reynolds number verification and boundary layer matching on the fire behavior optimization hybrid grid through a fire behavior feature adaptive algorithm, and performing iterative correction to generate a fire simulation correction grid; according to the invention, through the hybrid grid generator, the self-adaptive distribution of the grid density of the fire hazard area and the smooth connection of the transition area are realized, so that the grid distribution of the fire hazard area is accurately matched with the fire spreading characteristics.

The invention discloses a self-adaptive spatial transformation network for cross-medium optical distortion, and solves the problem that the existing spatial transformation network is difficult to consider both global transformation and local nonlinear optical distortion. The network is integrated in a target detection model, and the method comprises the steps that firstly, a parameter prediction network synchronously outputs affine transformation parameters and a water surface fluctuation physical parameter diagram; then, the local distortion grid generation network generates a distortion sampling grid based on the parameter diagram and a predefined water surface fluctuation physical model; meanwhile, the grid generator generates an affine sampling grid according to the affine transformation parameters; then, a grid fusion device fuses the two grids to generate a final sampling grid; and finally, the sampler samples the input image or the feature map according to the final sampling grid to obtain an output image or a feature map. Through a space transformation mechanism guided by physical prior, optical distortion caused by water surface fluctuation can be effectively relieved, and the accuracy and robustness of a target detection model in a cross-medium underwater scene are remarkably improved.

The invention discloses an image processing method based on non-uniform sampling and scale adaptive supervision, which belongs to the technical field of image processing, is used for image processing, and comprises the following steps: inputting a super-resolution image into an adaptive instance level grid generator, a distortion sampling network and a first sampler in sequence, and obtaining a non-uniform image by the first sampler; the anti-distortion sampling network realizes multi-scale feature anti-distortion for each block set through inverse transformation of bilinear mapping, an output result of the anti-distortion sampling network is sent to a second sampler, a non-uniform image is input into a backbone layer to obtain a non-uniform feature map, and the non-uniform feature map is sent to the second sampler; and the second sampler obtains the recovered feature map and inputs the recovered feature map into the model to obtain an image processing result. According to the method, detail features are effectively reserved, the small target processing precision is obviously improved on an oil field data set, meanwhile, the processing performance of large and medium targets is not affected, the calculation redundancy is reduced through a dynamic token filtering strategy, and efficiency and precision are both considered.

A green power system includes at least one solar panel, an auto-switch uni-directionally connected to the solar panel, a grid / generator uni-directionally connected to the auto-switch, at least one equipment with AC / DC uni-directionally connected to the auto-switch, and a solar charge controller installed to the auto-switch, or bi-directionally and electrically connected between the solar panel and the auto-switch, or installed to the equipment with AC / DC, and the solar charge controller is bi-directionally and electrically connected to at least one power storage device.

The present application relates to the technical field of oscillation disturbance source hierarchical positioning, and particularly relates to a wide-frequency oscillation disturbance source hierarchical positioning method based on compressed sensing and ISTA, which comprises collecting power of a power grid generator of a system, and storing the power of the generator as a time series; extracting a typical oscillation characteristic sub-sequence based on the time series to detect a state of the system, and obtaining a criterion result; sub-sampling the time series based on a compressed sensing technology to obtain a compressed signal; inputting the compressed signal and the criterion result into a disturbance area positioning network to output a disturbance area unit number; inputting the disturbance area unit number into an ISTA restoration network for restoration to obtain an oscillation restoration signal; inputting the oscillation restoration signal into a disturbance source positioning network for positioning to obtain a wide-frequency oscillation disturbance source unit number, which realizes accurate positioning of the oscillation disturbance source and solves the problem of low accuracy of existing wide-frequency oscillation disturbance source positioning methods in positioning tasks.

The invention belongs to the technical field of ship oil consumption rate optimization, and particularly relates to a method for optimally distributing power loads of all generators of an electric propulsion ship. The method comprises the steps that setting is conducted according to various working conditions of the electric propulsion ship, loads under the various working conditions are calculated, and the power and the number of main generator sets of a power station corresponding to the electric propulsion ship are designed according to the calculated loads; designing a multi-stage auxiliary generator set according to the ship power station power value and the rated power value of the main generator set; a storage battery pack is installed on the electric propulsion ship corresponding to the ship power station; and obtaining an optimal solution of economic load distribution of the power grid by adopting an enumeration method based on the optimal working condition that the ratio of the active power load to the rated power of each generator set in the grid generator set is the same. According to the method provided by the invention, the difference value between each gear of each optimal working condition is not large due to the difference of the input number of generator sets of the ship power station, and the operation efficiency is improved.

The invention relates to the technical field of power grid generators, in particular to an improved QT1-PLL control method for a virtual synchronous generator under a non-ideal power grid, which comprises the following steps of: acquiring a three-phase voltage signal of the virtual synchronous generator under the non-ideal power grid, and performing Cl arke conversion on the three-phase voltage signal to obtain a voltage component under a two-phase static coordinate system; inputting the voltage component under the two-phase static coordinate system into a third-order generalized integrator TOGI for filtering processing, and extracting a fundamental frequency positive sequence component from the filtering output of the TOGI; and inputting the fundamental frequency positive sequence component into the QT1-PLL (Phase Locked Loop). According to the invention, the three-order generalized integrator filtering is combined with the QT1-PLL containing the moving average filtering and the feed-forward path, so that the problem that the phase locking precision is reduced when the harmonic wave and the frequency of the power grid fluctuate due to the adoption of a single phase-locked loop in the traditional virtual synchronous generator phase locking method is solved.

The invention provides a method and a device for determining product yield in an isolated power grid. The method comprises the following steps: determining initial installation configuration of a generator set; determining a first occurrence probability that the plurality of production lines are in different operation conditions every year in a single accounting period, and determining a second occurrence probability that the plurality of generator sets are in different operation conditions every year in the single accounting period; the operation working conditions of the isolated power grid comprise a planned production halt working condition, a non-planned production halt working condition and a normal operation working condition; when the preset number of isolated power grid generator sets are shut down, it is determined that the isolated power grid meets multiple combined working conditions of the power balance constraint, and the combined probability of the combined working conditions of each isolated power grid is determined based on the first occurrence probability of the isolated power grid and the second occurrence probability of the isolated power grid; and determining the annual output based on the isolated power grid combination probability, the production line power under each isolated power grid combination working condition and the production line operation quantity. Based on the influence of different configurations on the annual output, the optimal installation configuration can be obtained.

The present invention relates to a method for checking the power quality of a generator system, in particular a grid generator system, and a corresponding device. Accordingly, a method for checking the power quality of a generator system is proposed, wherein a terminal of the generator system is electrically connected to a terminal of a consumer, wherein an impedance is provided between the terminals, and wherein, based on an impedance value measured during operation of the generator system, it is determined whether a predetermined power is being provided by the generator system.

The application discloses a method, device, equipment and storage medium for adjusting the power grid of a pumping unit, wherein the method comprises the following steps: setting the working point of the adjusting type pumping unit at a non-optimal stroke value; the non-optimal stroke value is lower than an optimal stroke value; acquiring the output information data of the power generator of the power grid in real time; when it is determined that the power grid has instantaneous fluctuation according to the output information data, generating the frequency control instruction of the pumping unit frequency converter of the adjusting type pumping unit according to a first preset algorithm; according to the application, when the output of the power generator of the power grid instantaneously increases, the current frequency of the pumping unit motor is increased through the pumping unit frequency converter, the process of converting the gravitational potential energy of the pumping rod into electric energy is slowed down, and the instantaneous electric quantity of the motor reverse power generation is reduced, so that the purpose of equivalent increase of the power load is achieved, and the excess power generation is balanced.

The invention provides a GIS-based one-dimensional and two-dimensional hydrodynamic model lateral coupling association method and system, and relates to the technical field of hydrodynamic models.The method comprises the steps that a river channel water area surface, a river channel center line and a two-dimensional land area boundary vector file are collected; generating a two-dimensional partition boundary vector file based on the river water area surface, the river center line and the two-dimensional land boundary vector file, and generating a two-dimensional grid file consistent with the range of the two-dimensional partition boundary vector file through a grid generator; vectorizing the two-dimensional grid file to obtain a grid node file; extracting two-dimensional boundary line segmentation points; extracting a two-dimensional grid, a grid node, a two-dimensional boundary and a boundary grid node of each two-dimensional partition based on the two-dimensional boundary line segmentation point and the grid node file, and establishing a coupling relationship between the grid node and the boundary in each two-dimensional partition; and integrating the coupling relationship between the grid nodes and the boundaries in each two-dimensional partition to form a global coupling relationship.

The invention discloses a control method and device of a flywheel system. The flywheel system comprises a flywheel rotor and a doubly-fed asynchronous generator, the doubly-fed asynchronous generator comprises a generator stator, a generator rotor and a frequency converter, the flywheel rotor is in transmission connection with the generator rotor, the generator rotor is connected to a power grid through the frequency converter, and the generator stator is connected to the power grid; the method comprises: detecting the rotating speed of a flywheel rotor; and according to the rotating speed of the flywheel rotor, operating parameters of the generator rotor are adjusted through the frequency converter, so that the magnetic field rotating speed of the generator stator is kept at a set rotating speed. Therefore, the operation parameters of the generator rotor can be adjusted according to the rotation speed of the flywheel rotor, so that the magnetic field rotation speed of the generator stator is kept at the set rotation speed, it can be ensured that the doubly-fed asynchronous generator generates electric energy with the set frequency, then the doubly-fed asynchronous motor outputs the electric energy with the set frequency to a power grid, and the stability of the power grid is improved.

The invention discloses a deep biological Hash network model for vein biological feature recognition and a recognition method, at least comprising a class center alignment module and a deep biological Hash layer, the center alignment module is composed of a two-stage positioning network, a grid generator, a sampler and a deep super template, predicting all potential changes from finger vein views to finger center views through learning transformation parameters, and realizing feature alignment; the deep biological hash layer generates a protected pseudo hash code by using a system-level token and a hash function, a loss function of the deep biological hash network model in a model learning training process is a mixed loss function, and comprises a classification loss item, a consistency basic positioning loss item and a class center triple loss item; the recognition performance, the logout attribute, the safety and the privacy of the logout biological recognition scheme are jointly ensured.

The present invention belongs to the field of electromagnetic field numerical calculation, and particularly relates to a method and device for generating FDTD conformal grids. An automatic FDTD conformal grid generation method based on 3D CAD includes the following steps: generating a 3D model based on triangular facets using CAD software, and dividing FDTD grid lines on the 3D model; performing longitudinal ray scanning and transverse plane scanning on the 3D model according to the FDTD grid lines, and calculating the geometric information and material information of each boundary cell; substituting the geometric information and material information of the boundary cells into the 3D-CP-EP algorithm formula set, and simultaneously calculating the 3D-CP-EP conformal grid parameters of the three direction components to generate an FDTD conformal grid model. The grid generation rate of the present invention is increased by a large margin, and the computational complexity of the present invention is smaller compared with traditional conformal grid generators. The grid quality also reaches the grid quality of mainstream FDTD simulation software. And with the improvement of resolution, the present invention shows better convergence.

The application discloses a scene preprocessing method for fire simulation, and relates to the technical field of building fire simulation, comprising the following steps: calculating three-dimensional thermal power weight by using a fire spread dynamics model, and generating a thermal map of a fire danger area; extracting a main diffusion direction of the fire and each axial anisotropy parameter by using a tensor field generation algorithm, and generating fire grid parameters; constructing a hexahedral leading grid by using a hybrid grid generator, increasing the grid density of the fire danger area, and obtaining an optimized hybrid grid of the fire; and checking the Reynolds number and matching the boundary layer of the optimized hybrid grid of the fire by using a fire feature self-adaptive algorithm, and iteratively correcting to generate a fire simulation correction grid; by using the hybrid grid generator, the application realizes self-adaptive distribution and smooth connection of the grid density of the fire danger area, so that the grid distribution of the fire danger area is accurately matched with the fire spread characteristics.

The application discloses a method for predicting the distribution of grid nodes of boundary lines of aircraft components and anisotropy parameters, relates to the field of automation and intellectualization of pre-processing of computational fluid dynamics simulation, and determines the geometric data of an aircraft CAD model, component semantic labels, calculation working conditions and each boundary line. A trained multi-task graph neural network model is used to intelligently classify the grid region types of the boundary lines, and isotropic or anisotropic classification results are obtained. Then, according to the classification results, the corresponding differential parameter prediction sub-network in the model is used to predict the corresponding grid control parameter set for each boundary line. Finally, based on the parameter set, a grid generator is driven to automatically generate high-quality surface grids. The application realizes intelligent decision-making of the whole process from semantic information to grid generation strategy and parameters, replaces the traditional method relying on artificial experience, and significantly improves the automation degree, efficiency and grid quality consistency of CFD pre-processing.

The present disclosure provides a method for obtaining the unit output of a generator set and related equipment, which can obtain the operating parameters of the power grid generator set, the operating parameters of the power system and the power network parameters; based on the operating parameters of the power grid generator set, the operating parameters of the power system and the power network parameters, a unit combination model with the minimum unit output deviation cost as the optimization target is constructed, wherein the unit combination model includes a segmented penalty model and a quadratic programming model, the segmented penalty model is used to characterize the segmented penalty cost corresponding to the unit output deviation variable of the generator set, and the quadratic programming model is used to characterize the mechanical wear cost corresponding to the unit output deviation variable within the segmented interval; the unit combination model is solved to obtain the unit output of the generator set. The present disclosure adds a quadratic programming model that characterizes the mechanical wear cost, so that the solved unit output is smoother, the mechanical wear caused by the unit output burr is reduced, and the stability of the power grid operation and the power generation efficiency are improved.

A kind of intelligent diagnosis method and system for wind turbine operating state, based on big data platform realizes intelligent diagnosis of wind turbine operating state, potential hidden danger existing in wind turbine is excavated, effectively reduce the operation and maintenance cost of wind turbine, improve the economic benefit of wind power;The intelligent diagnosis of wind turbine operating state of the present application fuses Self-representation unsupervised feature selection and set pair analysis, the unsupervised feature selection method relieves the difficult problem of evaluation index selection and collection of labeled training samples, improves the precision, generalization performance and robustness of model;The set pair analysis method fully considers the relationship between power grid, generator, gear box and main shaft, cabin and variable pitch, can effectively analyze the uncertainty of system, realize multi-source information fusion, improve the rapid and accurate diagnosis of wind turbine operating state.

The invention discloses movable intelligent frequency conversion control equipment, belongs to the technical field of power electronic equipment, and aims to solve the problems that a traditional frequency converter is difficult to move in temporary scenes such as outdoor first-aid repair, mobile operation and emergency rescue, cannot quickly adapt to an unstable power supply, and is low in field deployment efficiency and poor in environmental adaptability. The equipment comprises a modular mobile carrier, a multi-source power supply adaptive system, a quick connection and protection unit and a lightweight heat dissipation structure. The modularized mobile carrier adopts a light alloy frame with universal wheels and a foldable handrail, so that the modularized mobile carrier can be conveniently moved by a single person; the multi-source power supply adaptive system supports three modes of a power grid, a generator and a built-in energy storage power supply, and can realize seamless automatic switching less than or equal to 0.5 second; the output end is provided with a waterproof quick-plug connector and multiple electrical protection modules, so that quick connection and safety protection can be realized; the overall weight is less than or equal to 30 kg, and efficient heat dissipation is achieved through the hollowed-out shell and the temperature control fan.

The invention discloses a closed-loop power grid generator voltage protection device and a control method thereof, and belongs to the technical field of ship ocean engineering. A controller and a plurality of rapid sensor modules are arranged in each power subarea of a closed power grid, and when a voltage feedback signal fault is detected, the rapid sensor modules send fault signals to the controller in the power subarea to which the rapid sensor modules belong and the controller in the power subarea on the adjacent side; therefore, the controller is enabled to control the distribution board module based on the fault signal in combination with a preset time delay control method, thereby achieving the voltage protection of a closed-loop power grid generator, avoiding the time-consuming multi-parameter comparison and complex voting process in a conventional method, and improving the reliability of the system. And through redundancy control of a plurality of controllers, closed-loop power grid generator voltage protection errors caused by single control errors are avoided, and efficient closed-loop power grid generator voltage protection is ensured.

The embodiment of the invention discloses a grid-connected control method and device for a ship power grid generator, electronic equipment and a storage medium. According to the technical scheme provided by the embodiment of the invention, under the condition that the axle generator independently supplies power, the axle generator is configured to independently supply power to the load connected to the power grid through the distribution board at the fixed power, the fixed frequency and the fixed voltage; before a specified load accesses a power grid, starting a diesel generator based on a power management system, and setting a first frequency droop coefficient of an axle generator based on a frequency converter; and detecting the current specified power grid parameter, adjusting the specified operation parameter of the shaft generator based on the automatic synchronization following device and corresponding to the specified power grid parameter, and starting the specified load. By adopting the technical means, the capacity of the diesel generator for resisting power grid impact can be fully utilized, the load starting impact power borne by the axle generator is reduced, and the stability and safety of ship power grid operation are improved.

The invention discloses a micro-grid distributed consistency economic dispatching method and a micro-grid distributed consistency economic dispatching system. The micro-grid distributed consistency economic dispatching method comprises the following steps: constructing a communication topology model of a micro-grid system; establishing an economic dispatching model of the micro-grid; deriving to obtain a calculation form of the optimal solution of the output power of the micro-grid generator and the optimal solution of the incremental cost; initializing related parameters required by a consistency economic dispatching algorithm; iteratively updating the increment cost of each generator to gradually tend to be consistent, and updating the output power of all generators and the deviation between the output power and the demand quantity to gradually tend to be zero; and outputting the optimal increment cost and the optimal generator output power. According to the method, the problem of how to effectively carry out consistent economic dispatching under the condition that random fluctuation exists in the connectivity of the communication link in the actual micro-grid is solved, and the dependence on the network connection strength and low delay is reduced.