84 results about "Device Grid" patented technology

The invention relates to the technical field of energy storage device grid-connected control, and discloses an energy storage device grid-connected control method and device based on a distributed energy storage system, and the method comprises the steps: carrying out the initialization and operation data collection of the distributed energy storage system which integrates an inverter and a plurality of energy storage devices, and obtaining the operation state data of the system; performing multi-scale decomposition of the output power of the renewable energy source to obtain power component data; calculating a target power value of each energy storage device, and constructing an energy storage power distribution scheme; constructing a non-linear state feedback controller, and adjusting the voltage of the DC bus to obtain converter control parameters; dynamically selecting an optimal PWM scheme, and generating a PWM control instruction for controlling an inverter; and inputting the PWM control instruction into the model prediction controller, and calculating a charging and discharging power instruction and a grid-connected control signal of the energy storage equipment so as to realize grid-connected operation control of the distributed energy storage system, so that accurate control and optimal scheduling of the distributed energy storage system are realized.

The invention provides a thermal simulation processing method, device and equipment for a printed circuit board and a storage medium, and relates to the technical field of simulation processing, and the method comprises the steps: building an electronic equipment geometric model, dividing the electronic equipment geometric model into a plurality of tetrahedron units, setting material parameters, and generating an electronic equipment grid model; rasterizing a pre-established geometric model of the printed circuit board to obtain a plurality of grid subunits, and calculating equivalent material parameters of each grid subunit according to actual circuit data of the printed circuit board; screening out a plurality of first tetrahedron units in the electronic equipment grid model; mapping the first tetrahedron units to corresponding positions in the rasterized model to obtain equivalent material parameters of each first tetrahedron unit; updating material parameters of a printed circuit board area in the electronic equipment grid model; and performing thermal simulation processing, and drawing a temperature distribution diagram of the printed circuit board. According to the invention, high-precision temperature distribution of the printed circuit board can be obtained.

A mesh data decoding method, according to embodiments, may comprise the steps of: receiving a file including a bitstream including mesh data; decapsulating the file; and decoding the mesh data. A mesh data encoding method, according to embodiments, may comprise the steps of: encoding mesh data; encapsulating a file including a bitstream including the mesh data; and transmitting the file.

The invention discloses a multi-tube parallel power device phase shift type current sharing and crosstalk suppression drive circuit which is composed of a crosstalk suppression unit, a current balancing unit, a control response unit and a function switching unit. Wherein the crosstalk suppression unit generates a control signal for suppressing the crosstalk voltage of the parallel power device and shields the interference of the current balancing unit; the current balancing unit generates a control signal for balancing the dynamic current of the parallel power device and shields the interference of the crosstalk suppression unit; the control response unit is used for realizing crosstalk active clamping or current active equalization; and the mode switching unit realizes automatic switching of a crosstalk suppression function or a current equalization function according to configuration. Parallel device grid driving signal feedback is introduced, crosstalk voltage active clamping and dynamic current active balancing are achieved through a logic circuit, and the parallel expansibility is high; an exclusive-OR gate is adopted to accurately identify synchronous or asynchronous information of driving signals of the parallel devices, and various different gate sequential modes in parallel application of the hybrid devices can be compatible.

The invention discloses an industrial smart energy multi-energy evaluation visualization system and method, and relates to the technical field of energy big data visualization crossover, and the method comprises the steps: collecting and preprocessing multi-source heterogeneous data, and generating space-time aligned high-dimensional energy data through a space-time hash coding method; based on the three-dimensional manifold coordinate model, converting equipment energy efficiency parameters into an equivalent energy mass field, and through an energy field reconstruction and geometric optimization method, generating a curved manifold space and identifying an optimal transmission path and a distortion strength cloud picture; and based on the distortion strength cloud picture, generating a thermodynamic color gradation through a thermodynamic color gradation mapping algorithm, rendering three-dimensional gradient field distribution of the equivalent energy mass field by adopting a ray tracing method, and generating a visual energy evaluation interface. According to the method, space and time hash codes are generated through a space-time hash coding method, the equipment-grid mapping relation is established in combination with GeoHash coding, and accurate space-time alignment of multi-source heterogeneous data is achieved.

The present application relates to the technical field of wireless communications, and discloses a method for reducing wireless network energy consumption and a communication device. The method comprises: acquiring signal strength information sent by a plurality of user terminals in a preset target area; on the basis of the signal strength information and a pre-constructed wireless grid library, predicting a grid where each user terminal among the plurality of user terminals is located at a target time point; and allocating wireless network resources to each user terminal on the basis of the grid where the user terminal is located at the target time point and an energy-saving strategy.

The invention discloses a transformer area-oriented information cross fusion mining method and system, and belongs to the field of intelligent power grid anomaly detection, and the method comprises the steps: obtaining power grid equipment information, power grid state data, environment data and power grid fault records, carrying out the processing of abnormal values, and carrying out the fusion, and obtaining original power grid fusion data; performing discretization processing on the original power grid fusion data by using the decision tree model to obtain power grid fusion data; constructing an undirected graph of the power grid equipment according to the topological structure data of the power grid equipment, and dividing the undirected graph into a plurality of communities; determining a Bayesian network model of each community by using a score search method; training the Bayesian network model to obtain a conditional probability table of the community; calculating a fault code at the current moment according to the conditional probability table and judging an abnormal condition of the power grid equipment; according to the method, the community division and the Bayesian network are combined, efficient and accurate fault detection and positioning can be realized through multi-source data cross fusion, and the operation and maintenance management efficiency of a power grid is improved.

A mesh decoding device 200 includes a circuit that: outputs a base mesh, outputs an intra prediction residual, and decodes a displacement by performing intra prediction of a displacement of a subdivided vertex based on the outputted base mesh to calculate an intra prediction value, and adding the calculated intra prediction value and the outputted intra prediction residual.

In an energy system in a community provided with a plurality of unit grids, each of which is an energy transfer network of a single-unit facility including a power load, the unit grids each include a photovoltaic generator, supply power generated by the photovoltaic generator thereof to the power load thereof, and, as an electric vehicle moves, form a cooperative grid that transfers power stored in a mobile storage battery mounted on the electric vehicle to and from another of the unit grids, and some of the unit grids whose geographical positional relationship is not fixed form a virtual grid for transferring power as a combination of the unit grids that form the cooperative grids changes in accordance with a destination of the electric vehicle.

The utility model discloses an Internet of Things commercial power single lamp controller based on wireless grid communication, comprising a 220V commercial power supply circuit; the commercial power street lamp control circuit is electrically connected to the 220V commercial power supply circuit, and the 220V commercial power supply circuit supplies power to the commercial power street lamp control circuit so that the commercial power street lamp control circuit can be turned on or turned off; the antenna is connected to the commercial power street lamp control circuit, the antenna receives or uploads a signal to control the commercial power street lamp control circuit and the L11-K1-L9-electric energy metering chip U3 to form a voltage and current detection circuit, the electric energy metering chip U3 can accurately calculate a voltage effective value and a current effective value, and the controller calculates current and night power consumption according to the detected current and voltage. And the output power of the commercial power is adjusted through the detected current and voltage, and the street lamp has different lighting modes in multiple time periods due to the change of the output power of the commercial power, so that the energy is saved.

A grid data transmission method according to an embodiment may comprise the steps of: encoding grid data; and transmitting the bitstream including the mesh data. A mesh data receiving method according to an embodiment may comprise the steps of: receiving a bitstream including mesh data; and decoding the grid data.

A displacement decoding unit (205) of a mesh decoding device (200) according to the present invention includes: a bypass arithmetic decoding unit (205A) configured to generate a coefficient level value by performing bypass arithmetic decoding on a displacement bit stream; an inverse quantization unit (205B) configured to generate a first transformed coefficient by performing inverse quantization on the coefficient level value; an adder (205D) configured to generate a second transformed coefficient by adding a prediction transformed coefficient and a prediction residual; an inter prediction unit (205F) configured to generate the prediction transformed coefficient by performing inter prediction by using the second transformed coefficient of a reference frame read from the frame buffer; and a second inverse transform unit (205G) configured to generate a decoded displacement by performing second inverse transform on the second transformed coefficient.

The invention discloses a simulation analysis method, electronic equipment and a computer readable storage medium. The method is applied to the electric drive controller, and the electric drive controller comprises a shell and an internal device. The method comprises the steps of obtaining a geometric model of the electric drive controller; performing mesh generation on the geometric model to obtain an outer shell mesh and an inner device mesh; determining a connection attribute between the outer shell grid and the internal device grid according to a preset connection relationship between the outer shell and the internal device; wherein each preset connection relationship corresponds to at least one connection attribute; and performing modal simulation analysis on the geometric model after the connection attribute is determined to obtain a modal analysis result of the corresponding electric drive controller. In this way, the accuracy of the modal simulation analysis result of the electric drive controller can be improved.

The invention relates to a power interface device grid-side capacity control method and converter equipment, one side of each power interface device is connected with at least one converter, the other side of each power interface device is connected with a power grid, and when two or more power interface devices exist, the power interface devices are connected in parallel and then connected with the power grid. And for each power interface device, the grid-side current and the grid-side power of the power interface device are obtained, the power output reference value of each converter is adjusted based on the grid-side current, the grid-side power and a preset current threshold value, the power output of the converter is adjusted based on the adjusted power output reference value, and the power output comprises active output and / or reactive output. The power output of each converter is adjusted by taking the grid-side current limit value of the power interface device as a control target, so that the current flowing through the grid-side interface of the power interface device is controlled, the grid-side current is limited in a reasonable range, the condition that the capacity of a grid-side line exceeds the limit or is limited is avoided, and the service life of the power interface device is prolonged. And the working reliability of the converter equipment is improved.

The application discloses a kind of wisdom energy multi-energy evaluation visualization system and method for industry, it is related to energy big data visualization cross technical field, including, acquisition multi-source heterogeneous data and pre-processing, by space-time hash coding method, generate high-dimensional energy data of space-time alignment;Based on three-dimensional manifold coordinate model, the equipment energy efficiency parameter is converted into equivalent energy quality field, by energy field reconstruction and geometric optimization method, generate curved manifold space and identify optimal transmission path and distortion intensity cloud chart;Based on distortion intensity cloud chart, generate thermal color scale by thermal color scale mapping algorithm, and the three-dimensional gradient field distribution of equivalent energy quality field is rendered using ray tracing method, generate visual energy evaluation interface.The application generates space and time hash code by space-time hash coding method, establishes equipment-grid mapping relationship in combination with GeoHash coding, realizes the accurate space-time alignment of multi-source heterogeneous data.

The present invention relates to a method for updating a texture map of a 3D mesh and a computing device using same. The method for updating a texture map of a 3D mesh using a computing device according to an embodiment of the present invention comprises the steps of: generating a 3D mesh for a target environment and an initial texture map for the 3D mesh from each target image obtained by imaging the target environment with a plurality of camera poses; parameterizing the initial texture map; generating a rendered image for the target environment from the initial texture map and the 3D mesh by using a differentiable renderer; fine-tuning the differentiable renderer by performing supervised learning on the generation of the rendered image on the basis of the target image; and regenerating a texture map of the 3D mesh from the initial texture map by using the fine-tuned differentiable renderer.

The invention discloses a mesh network topology management method, a mesh network topology management device and electronic equipment. The method is used for gateway devices in a mesh network, the mesh network comprises a plurality of gateway devices and a plurality of node devices, and the method comprises the following steps: acquiring first network information between the plurality of gateway devices and the node devices; obtaining first target data; and selecting a first target gateway device from the plurality of gateway devices according to the first network information, so as to send first target data to the target node device through the first target gateway device. By adopting the processing mode, when the data is sent to the node equipment, the plurality of gateway equipment cooperatively manage the network topology, and one better gateway equipment is selected to send the data to the node equipment, so that only one communication link exists in the same physical space, the interference of wireless signals in the air is avoided, and the data transmission efficiency is improved. Network congestion and transmission delay are avoided; therefore, the data transmission efficiency and the user experience can be effectively improved.

The invention relates to the technical field of end-to-end communication, intelligent calibration of mouse cursor positions and the like, and provides an intelligent calibration method for mouse cursor positions in end-to-end mouse control, which comprises the following steps of: acquiring a screen resolution of main control equipment and a screen picture of controlled equipment, and adjusting the screen picture of the controlled equipment according to the resolution of the main control equipment; dividing a screen of the controlled equipment into equal-proportion grid areas; searching and determining the current position of a mouse cursor of the controlled equipment, and mapping the current position to the grid area; and acquiring coordinates of a mouse cursor of the master control equipment, comparing the coordinates with grid coordinates of the controlled equipment, if the coordinates are inconsistent, calculating an offset distance needing to be adjusted, and adjusting the cursor position of the controlled end until the coordinates are consistent with the coordinates of the master control end. According to the method, accurate synchronization of mouse positions among heterogeneous systems is realized through establishment of the equal-proportion grid model, image recognition and positioning and coordinate compensation based on the grid difference value, the problem of non-synchronization of cursor positions caused by resolution difference, event hijacking or abnormal response is solved, and the control accuracy and the system robustness are improved.

This invention relates to the field of generator grid connection technology, specifically to a remote wireless grid connection device and method for generator vehicles / generator sets based on 5G / satellite communication. It includes: a grid connection main device installed on the grid side, comprising a main control module that sends control commands to a grid connection execution module on the generator side via a remote wireless communication module; a grid connection sub-device installed on at least one generator side, comprising a grid connection execution module that receives control commands from the grid side and executes grid connection operations via a remote wireless communication module; and a remote wireless communication module comprising a remote wireless communication main module installed on the grid connection main device and remote wireless communication sub-modules installed on the grid connection sub-devices, establishing a wireless bidirectional data communication link between the grid side and at least one generator side. Compared with existing technologies, it eliminates the need for physical communication lines and additional mains bypass switches, enabling parallel grid connection without distance or quantity limitations, and offers flexible sampling and disassembly / removal, as well as high access security.

The invention discloses a construction engineering construction site robot control networking system, and the system comprises a first networking radio station, a plurality of second networking radio stations, a plurality of third networking radio stations, a plurality of construction robots, and a server. The third networking radio station is arranged on the construction robots, the plurality of construction robots form a plurality of robot clusters, each robot cluster comprises at least two construction robots, and the construction robots of different robot clusters are located in different first working areas; the plurality of second networking radio stations and the first networking radio station automatically form a wireless grid network through MESH networking, the plurality of second networking radio stations and the plurality of robot clusters are in one-to-one correspondence, the second networking radio stations are in network connection with each construction robot in the corresponding robot clusters, and the first networking radio station and the server are located in a second working area. The stability of the control networking system of the building engineering construction site robot can be improved.

A grid data encoding method according to an embodiment may comprise the steps of: encoding grid data; and transmitting the bitstream including the mesh data. A mesh data decoding method according to an embodiment may comprise the steps of: receiving a bitstream including mesh data; and decoding the grid data.

The invention relates to a low-voltage energy storage optimization control method for power grid frequency response, and relates to the field of low-voltage energy storage device control. Performing power grid non-fault section data analysis on the first transformer area based on the power grid frequency reference value to obtain a power grid frequency reference interval; receiving power grid frequency fluctuation time sequence information of a preset time zone; performing power grid fault analysis based on the power grid frequency reference interval in combination with the power grid frequency fluctuation time sequence information to obtain a power grid fault probability; and when the power grid fault probability is greater than or equal to the power grid fault probability threshold, low-voltage energy storage device scheduling optimization is performed on the first transformer area, and a low-voltage energy storage device grid connection scheme is generated to perform low-voltage energy storage control. The technical problem of serious control hysteresis caused by the fact that grid-connected energy supply of the energy storage device is carried out only after a power grid fault occurs in the prior art is solved.

A mesh decoding device 200 according to the present invention is provided with: an atlas data decoding unit 207 that decodes an atlas bitstream to generate and output control information; a basic mesh decoding unit 202 that generates and outputs a basic mesh using the control information and a basic mesh bitstream as inputs; a subdivision unit 203 that outputs a subdivided mesh and subdivision vertex normals using the control information and the basic mesh as inputs; a mesh decoding unit 204 that generates a decoded mesh using the control information, displacement amounts, the subdivided mesh, and the subdivision vertex normals as inputs; and a boundary correction unit 208 that receives the control information and the decoded mesh and outputs a boundary-corrected decoded mesh.

The present invention reduces complexity of computation for decoding of a motion vector or decoding of a basic mesh of an intra-frame. A mesh decoding device 200 according to the present invention comprises: an intra-decoding unit 202B that decodes a basic mesh from a bitstream of an intra-frame; and an inter-decoding unit 202E that decodes a motion vector from a bitstream of an inter-frame, adds the decoded motion vector to a basic mesh of a reference frame, and decodes the basic mesh. The intra-decoding unit 202B or the inter-decoding unit 202E includes an overlapping vertex search unit 202E6 that acquires information related to a vertex overlapping with a vertex to be decoded from decoded vertices.

A mesh data decoding method according to an embodiment may comprise the steps of: receiving a bitstream including mesh data; and decoding the grid data. A grid data encoding method according to an embodiment may comprise the steps of: encoding grid data; and transmitting a bitstream including the mesh data.

The invention relates to the technical field of new energy power generation, and discloses a grid-connected operation control method and system for a wave power generation device, and the method comprises the steps: carrying out the power regulation and control of a power generation unit in a target device, and carrying out the charging and discharging regulation and control of a battery energy storage system, so as to enable the predicted power generation amount of the target device to meet the power demands of station equipment; the direct-current bus voltage is kept stable, a certain electric quantity of the battery can be maintained, smooth grid-connected power is realized, a stable and continuous power supply target is provided for a power grid, and the technical problem of how to improve the grid-connected operation stability of the wave power generation device is solved.

In a mesh decoding device 200 according to the present invention: a motion vector calculation unit 202E4 makes the modes of motion vectors of N (N≥1) vertices that are continuous in decoding order the same; said N vertices constitute one group; the motion vector calculation unit 202E4 decodes, from a bitstream, a control signal capable of calculating a group size indicating the size of the group; and a flag acquisition unit 202E7 decodes a second flag for each of the vertices from a bitstream of a P frame when a first flag indicates Yes, sets a prediction mode of a vertex to be decoded to 2 when the second flag indicates Yes, and sets the prediction mode of the vertex to be decoded to other than 2 when the second flag indicates No.

The invention discloses a GaN HEMT power device grid degradation detection device and method, and belongs to the technical field of performance detection. The GaN HEMT power device grid degradation detection device comprises a pulse excitation source, a passive circuit, a sampling circuit, a controller and a driving circuit; the pulse excitation source is connected with the GaN HEMT power device to be tested through the passive circuit, the output end of the sampling circuit is connected with the input end of the controller, the output end of the controller is connected with the control end of the pulse excitation source through the driving circuit, and the controller collects a voltage signal VGS between a source electrode and a grid electrode in the GaN HEMT power device to be tested through the sampling circuit. The degradation degree of the grid electrode in the GaN HEMT power device to be detected is judged according to the voltage signal VGS, and the device and the method can detect the degradation degree of the grid electrode of the GaN HEMT power device and have the advantages of being easy to operate and low in cost.

The invention relates to the technical field of power systems, and discloses a grid-connected grounding topological structure of a flexible converter device without a connection transformer, which is based on a topological structure that a far-end three-winding transformer and a Z-type transformer are grounded through a small resistor. The problem that a three-phase alternating-current circuit breaker is difficult to quickly and completely switch off and switch on when a non-connection transformer is matched with a traditional arc suppression coil to be grounded can be solved. When a single-pole grounding fault occurs on the direct current side of the flexible device matched with the uncoupled transformer system, a large amount of direct current bias current on the side of the flexible device flows into the alternating current network side due to the fact that no coupled transformer exists between the alternating current network and the flexible device, and the topological structure can greatly reduce the influence of the direct current bias current on the three-phase alternating current circuit breaker at the moment. And each phase of the three-phase circuit breaker at the alternating current side can be quickly and completely switched off and switched on. In addition, the topological structure can limit the peak value of the fault current on the alternating current side when the system has a single-pole grounding fault on the direct current side.

The invention provides a combustion device control method based on Simulink and Fluent cooperation, and the method comprises the following steps: importing a combustion device mesh file into Fluent, initializing a computational domain, setting a time step length and a total step length, and starting Fluent solution; when the calculation is converged or reaches the set number of iterations, the Fluent UDF traverses a combustion device grid to calculate the average temperature, and data is sent to a server side of the Simulink S function module; the temperature data is converted into a temperature time sequence value, a difference value between the temperature data and a preset characteristic temperature curve is calculated, the difference value is input into a fuzzy PID controller to obtain a natural gas inlet flow variable quantity, a control parameter is output, and the natural gas inlet flow variable quantity is packaged and sent to a client of a Fluent UDF through a Simulink S function module; and adjusting the natural gas inlet flow so as to update the boundary condition of Fluent, then calculating the next time step length, and repeatedly solving until the total iteration time is reached. The control accuracy of the combustion device is improved.