106 results about "Grid network" patented technology

The invention relates to an intelligent power grid communication optimization method based on HPLC and HRF dual-mode communication, and the method is characterized in that the method comprises the following steps: S1, obtaining power grid communication data, and carrying out the preprocessing of the data; s2, according to the preprocessed intelligent power grid communication data, a feature extractor based on a deep neural network automatically extracts two-channel time-frequency domain features, feature importance of different modes is dynamically weighted through an attention mechanism, and a unified channel state matrix CSM after fusion is obtained; s3, constructing a routing strategy model based on reinforcement learning, and obtaining an optimal path decision according to the CSM matrix, the power grid network topology and the service priority label; s4, according to the path obtained by the optimal path decision, adaptive modulation coding is adopted to obtain an optimal modulation coding scheme and a dynamic adaptive channel condition; and S5, performing communication according to the optimal modulation coding scheme and the dynamic adaptive channel condition. According to the method, the communication state sensing capability in a complex scene is remarkably improved.

The invention discloses a path planning method based on an improved DQN algorithm. The path planning method aims at selecting a collision-free path to reach an ideal position. Path planning needs to solve the problems of target reaching, obstacle bypassing and the like, and an environment map needs to be preset in a traditional method. The deep reinforcement learning is used for solving a dynamic path planning problem, and a common path planning method is separated from online. DRL learns an optimal strategy through trial and error and environment interaction, and a DQN algorithm is applied to path planning but has the problems of slow convergence and the like. According to the improved DQN path planning algorithm and system provided by the invention, the problem is replayed and solved by improving a reward function and an action selection strategy and introducing prior knowledge and prior experience. Comprising the steps of constructing a two-dimensional grid network environment map, constructing, improving and optimizing a DQN path planning model based on the two-dimensional grid network environment map and a Markov decision process, improving strategy covering reward modeling, designing an attenuated epsilon-greedy strategy, and introducing prior knowledge and prior experience for replaying.

The embodiments of the present application relate to the technical field of wireless communications. Provided are a beam pair determination method and apparatus. The beam pair determination method comprises: a network device sending configuration information to a terminal device in a communication area where the network device is located; the terminal device performing configuration of a coordinate grid network on the basis of the configuration information, the coordinate grid network being used for indicating a grid-shaped vertical plane and / or a grid-shaped horizontal plane of the communication area; the terminal device acquiring beam pair quality information corresponding to at least one round of beam pair scanning and / or state change information of the terminal device corresponding to the at least one round of beam pair scanning, and reporting same to the network device; and on the basis of the beam pair quality information corresponding to at least one round of beam pair scanning and / or the state change information of the terminal device corresponding to the at least one round of beam pair scanning, the network device determining an optimal beam pair, the state change information being used for indicating a state change condition of the terminal device during the process of the at least one round of beam pair scanning, and the state change information corresponding to the coordinate grid network. The present application can improve the accuracy of beam pair determination and take into account the privacy of a terminal device.

The invention relates to the technical field of traffic control, in particular to an airspace situation prediction method and system based on a self-adaptive grid, and the method comprises the following steps: collecting the information of all aircrafts in a current airspace, including the number, speed, x coordinate, y coordinate, z coordinate, course, pitch angle and time of the aircrafts; according to the x coordinate, the y coordinate and the z coordinate of the aircraft, mapping the acquired information of the aircraft into grids of a pre-constructed airspace basic grid network, and obtaining an input feature sequence; and inputting the input feature sequence into an airspace grid situation prediction model based on 3D CNN-GCN-Transform, and outputting to obtain an airspace situation prediction result. According to the invention, accurate prediction of airspace situation change can be realized, and technical support is provided for air traffic control.

A system for performing a three-dimensional computer vision task using a neural radiance field grid representation of a scene produced from two-dimensional images of at least a portion of the scene can include a processor and a memory. A neural radiance field grid network module can produce, from the two-dimensional images, three-dimensional patches of the neural radiance field grid representation of the scene. A three-dimensional shifted window visual transformer module can produce, from the three-dimensional patches, a feature map. A first decoder module can produce, from the feature map, the neural radiance field grid representation of the scene to train the system. A second decoder module can produce, from the feature map, the neural radiance field grid representation of the scene to perform the three-dimensional computer vision task for a cyber-physical system.

The embodiment of the invention provides a beam pair determination method and device, and relates to the technical field of wireless communication, and the beam pair determination method comprises the steps that network equipment sends configuration information to terminal equipment in a communication area where the network equipment is located; the terminal equipment configures a coordinate grid network according to the configuration information, wherein the coordinate grid network is used for indicating a grid-shaped vertical plane and / or a grid-shaped horizontal plane of the communication area; the terminal device obtains and reports the beam pair quality information corresponding to the at least one round of beam pair scanning and / or the state change information of the terminal device to the network device, and the network device determines an optimal beam pair based on the beam pair quality information corresponding to the at least one round of beam pair scanning and / or the state change information of the terminal device; wherein the state change information is used for indicating the state change condition of the terminal equipment in at least one round of beam pair scanning process; the state change information corresponds to the coordinate grid network. According to the invention, the accuracy of determining the beam pair can be improved, and the privacy of the terminal equipment is considered.

The invention discloses a multi-agent conflict-free path planning method based on a directed space-time network and forward direction decision, which comprises the following steps: 1, acquiring environment information, constructing a grid network according to the environment information, and constructing a directed space-time road network for the grid network by using the space-time network, initializing starting and ending point information of the robot group according to the directed space-time road network; 2, establishing a forward direction decision model of the agent group, and avoiding conflicts by using constraint conditions of the model; and 3, solving a forward direction decision model of the agent group, and planning an overall optimal path. According to the method, the directed space-time road network can be constructed by utilizing the space-time network to accurately describe the environment, the agents and the tasks, the path of the agents is planned by utilizing the advancing direction decision model, and the possibility of multi-agent conflict is avoided, so that the feasibility of the path is ensured, and the efficiency and the safety of multi-agent path planning can be improved.

The invention relates to an intelligent power grid optimization control method based on dynamic network topology reconstruction. The process comprises the following steps: establishing a mixed integer linear programming optimization model; screening the optimal deployment position of the loop closing device; actual power grid data are collected in real time, the net load fluctuation range of each power grid node is calculated, the flexible supply and demand state of a power grid line is evaluated, and if the flexible demand of the power grid line exceeds the supply or power flow out-of-limit, the optimal power regulation quantity and the optimal power grid network topology structure of a loop closing device are calculated; deploying the loop closing device according to the optimal deployment position and the optimal power regulation quantity of the loop closing device, changing a power grid connection structure according to the optimal power grid network topology structure, and optimally controlling an actual power grid; and calculating to obtain the power grid performance after the deployment of the loop closing device, and if any power grid performance is lower than a preset threshold value, carrying out the above process again. Compared with the prior art, the power of the network topology and the loop closing device can be quickly adjusted according to the actual power grid condition.

Devices, systems, and methods for automatically provisioning containerized intelligent electronic devices (IEDs) of a grid network include identifying, by a device management system, basic details of a containerized IED provided by the containerized IED; determining, based on the basic details, that the containerized IED is running in the network; identifying, based on the basic details, a secure login for the containerized IED; sending a secure login request to the containerized IED based on the secure login; receiving, based on the secure login request, advanced details of the containerized IED provided by the containerized IED; identifying, based on the advanced details, an upgrade available to an application of the containerized IED; instruct a backup virtual machine of the containerized IED to run the upgraded application; and monitoring new upgrades and applications available for containerized IEDs in the network.

The invention provides an improved D * lite path planning method and system based on spatial obstacle degree, and relates to the technical field of unmanned aerial vehicle navigation. The method comprises the following steps: 1) obtaining a three-dimensional point cloud map to form a three-dimensional point cloud grid map; 2) expanding each grid in the three-dimensional point cloud map according to the safety margin of the unmanned aerial vehicle; 3) counting the number of times that each grid is covered by the expansion area; 4) quantizing the counted data to obtain the neighborhood obstacle degree of the grid; 5) forming an obstacle degree map according to the neighborhood obstacle degree of each grid; 6) improving the moving cost of the traditional D * lite algorithm according to the obstacle degree map; and 7) according to the expanded grid network map, performing path planning by using an improved D * lite algorithm to realize unmanned aerial vehicle return path planning. The problems that a traditional electric power inspection method is insufficient in obstacle sensitivity and unsmooth in homing path are effectively solved, and rapid and safe homing of the unmanned aerial vehicle is guaranteed.

The application discloses a regional scale landscape ecological risk index data production method based on ArcPy, and comprises the following steps: step 1, converting a grid network into vector data; step 2, calculating sample data, wherein the sample data is used for counting the frequency of a certain landscape type in a sample data in a patch; step 3, defining a landscape ecological risk index core function; and step 4, calculating a landscape ecological risk index. The application provides a regional scale landscape ecological risk index data production method based on ArcPy, greatly improves the efficiency of automatically calculating a landscape ecological risk index at a regional scale or even a continental scale, and effectively solves the problems of excessive program memory consumption, a complex manual calculation process and a large amount of data processing workload in the prior art when processing regional scale or continental scale data.

The invention belongs to the technical field of metal casting, and particularly relates to a method for inhibiting macrosegregation of elements in the solidification process of a large cast ingot through a grating method. The method comprises the following steps: preparing a plurality of cylindrical metal bars with the same components as a cast ingot target, wherein each metal bar has a stepped melting point structure; establishing a virtual grid network of the cross section of the cast ingot, and dividing the cross section into a matrix node array; the solidification front edge position is monitored in real time, and when a solidification layer reaches grid node coordinates, a metal rod is vertically inserted into a cast ingot through a hydraulic servo mechanism; and applying a micro-area energy field on the surface of the metal rod, namely coating a heat release coating and applying electromagnetic oscillation. According to the method, the ingot casting temperature field real-time mapping model is established, and the large ingot casting solidification process is accurately intervened. On the basis of a grating method, a metal rod is combined with an exothermic coating and mechanical disturbance to delay local solidification, and macrosegregation of elements of a large cast ingot is remarkably improved.

The present invention relates to a method for calculating and providing a lane path of a road using a central computing unit that is connected to vehicles in a vehicle group in a data-technical manner. According to the present invention, the method comprises the following steps: providing a geometric map (K) including geometric lane boundaries (S), applying a grid network (G) having grid cells (G1 to G49) of a predetermined size to the map (K), collecting fleet data of the vehicles in the vehicle group, including a position sequence in which the vehicles in the vehicle group travel, calculating the orientation of the vehicles at the positions of the grid cells (G1 to G49) from the collected position sequence, discretizing the calculated vehicle orientation, generating a histogram (H) for each of the discretized vehicle orientations calculated at the positions of the respective grid cells (G1 to G49) for each individual grid cell position, selecting a map section having a predetermined number of grid cells (G1 to G49), and calculating a lane path in the map section using a learning-based method from the histogram (H) created for the grid cells (G1 to G49) of the map section and the geometric lane boundary (S) in the map section.

The present application relates to the technical field of reservoir capacity curve reconstruction, in particular to a reservoir capacity curve reconstruction method and system based on multi-source data fusion, comprising the following steps: obtaining multi-source data fusion elevation information, reconstructing the water level-storage capacity relationship curve, and outputting the reservoir capacity curve reconstruction graphical expression result. In the present application, the water body boundary surface information is obtained by fusing the unmanned aerial vehicle remote sensing image to identify the boundary pixel area, the abnormal water level line number is identified by combining the difference index comparison, the complete three-dimensional fusion data set is constructed by matching the water point cloud and the underwater elevation data, the grid network is generated according to the unified projection and the abnormal elevation points are corrected, the continuous trajectory line sequence is established and integrated to form the two-dimensional boundary expression, which can quickly identify the reservoir capacity change in the dynamic environment, effectively avoid the incomplete boundary extraction and the data precision decline caused by the complex terrain and the tedious operation in the traditional measurement method, and improve the comprehensive performance of the reservoir capacity curve reconstruction in the spatial coverage, data updating and expression precision.

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 discloses a street facade micro-update identification method based on a grid network. The method comprises the steps of acquisition range determination, road network grading and sampling point arrangement, street scene image acquisition and building facade rasterization processing, building construction or dismantling identification through large and small granularities, building facade material identification, micro-update determination and the like. According to the method, the material change of the building facade is automatically identified through the streetscape image, efficient and accurate monitoring of city micro-updating is realized, and the method is suitable for the fields of city planning, updating evaluation and the like.

The embodiment of the invention relates to a method for monitoring an abnormal event based on radar and infrared sensing data, which comprises the following steps of: arranging M millimeter wave radars and U infrared sensors in a supervision space, setting a three-dimensional grid network and a target coordinate system, and respectively setting a coordinate system mapping rule, a temperature measurement coordinate and a temperature difference threshold value for the radars and the infrared sensors. The millimeter-wave radar periodically scans to generate single-frame point cloud, and the infrared sensor periodically monitors to generate temperature measurement data and stores the temperature measurement data. A point cloud sequence and a temperature measurement sequence are obtained according to a preset time frequency, a subdivision time axis is set, and data sampling time is aligned with the subdivision time axis. Predicting a target trajectory according to the point cloud sequence, and predicting a temperature measurement trajectory, a peak temperature and an environment temperature difference according to the temperature measurement sequence. And finally, performing personnel residence time abnormal event identification and early warning based on the prediction trajectory, performing single-point high-temperature abnormal event identification and early warning according to the temperature measurement trajectory, and performing environment high-temperature abnormal event identification and early warning by using the time period peak temperature and the time period environment temperature difference.

Aspects of the disclosure are directed to a randomly determined first hop for network routing in an N-dimensional grid network. The first hop for a packet traversing the network is randomly determined based on a probability distribution for potential first hops. Based on a destination for the packet, a router in the network can search for potential paths and corresponding probabilities for the first hop, select a path based on the first hop, and forward the packet along that path to its destination. Network routing with a randomly determined first hop can improve fault tolerance without adding network complexities to the N-dimensional grid network.

Techniques for anonymizing user activity. Messages from a C3N user device may be processed by a proxy application running within a containerized environment of the device. Messages may be directed to a C3N grid network for endpoints located within the C3N ecosystem and avoid the Internet entirely. User activity can be obfuscated by nodes of the grid network, which can generate and / or route fake messages along with a real message.

A storage system is described where goods are stored in containers 10 and the containers 10 are stored in stacks 12. Above the stacks 12 runs a grid network of tracks on which load handling devices 30 run. The load handling devices take containers 10 from the stacks 12 and deposit then at alternative locations in the stacks or deposit then at stations where goods may be picked out. The containers 10 may be provided with one or more of the following services: power, power control, heating, lighting, cooling, sensing means, and data logging means. The provision of these services within individual containers rather than across the system as a whole, allows for flexibility in storage whilst reducing cost and inefficiency.

Devices, systems, and methods for automatically provisioning containerized intelligent electronic devices (IEDs) of a grid network include identifying, by a device management system, basic details of a containerized IED provided by the containerized IED; determining, based on the basic details, that the containerized IED is running in the network; identifying, based on the basic details, a secure login for the containerized IED; sending a secure login request to the containerized IED based on the secure login; receiving, based on the secure login request, advanced details of the containerized IED provided by the containerized IED; identifying, based on the advanced details, an upgrade available to an application of the containerized IED; instruct a backup virtual machine of the containerized IED to run the upgraded application; and monitoring new upgrades and applications available for containerized IEDs in the network.

The utility model discloses a portable rigid ecological grid net system which comprises a plurality of fixing structures arranged at intervals, a plurality of steel strands connected with all the fixing structures in series and distributed up and down, and a protective net connected with the fixing structures and the steel strands. The fixing structure comprises a steel column anchored on the ground through steel bar rivets, a basket rib tied to the lower portion of the steel column, and a concrete foundation poured to the lower portion of the basket rib and the lower portion of the steel column. The upper ends of the steel bar rivets are bound with basket bars and are poured in the concrete foundation; the steel strand is connected with the steel columns of all the fixing structures in series. Drilling and grouting are not needed, and the influence of construction within the railway range on vehicle passing is small. And meanwhile, drilling and grouting are not needed in the installation process, the influence on the landform is small, and the ecological and environment-friendly requirements are met.

1. The name of the design product: mobile energy storage power supply vehicle (towing type). 2. The use of the design product: used for collecting and transporting of photovoltaic farm power generation, temporary power supply, emergency power support, mobile charging station of electric vehicles and micro-grid network type networking. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The utility model discloses a ventilator and belongs to the technical field of fluid machinery. Comprising a ventilator assembly, a base assembly arranged at the bottom of the circumferential outer wall of the ventilator assembly and a supporting assembly arranged at the bottom of the circumferential outer wall of the ventilator assembly, fixing rings are fixedly arranged on the two sides of a ventilator shell, grid nets are arranged on the side faces of the fixing rings, and a motor base is arranged in an inner cavity of the ventilator shell; a motor base is fixedly arranged on the base, motor legs are arranged on the motor base, a fan is arranged at the output end of the motor, shells are fixedly arranged on the two sides of the base, pull rods are arranged in the shells, first fixing insertion blocks are fixedly arranged on the two sides of the supporting base, and second fixing insertion blocks are arranged on the two sides of the supporting top shell. According to the utility model, the base assembly is improved and the supporting assembly is added, so that the ventilator has good stability and the purpose of reducing the vibration of the ventilator under the condition that the ventilator is quickly disassembled and assembled, and the effect that the ventilator is more practical and durable is achieved.

The application relates to the technical field of power system control, and discloses a multi-time scale cooperative control system of an energy storage power station supporting network construction operation, which comprises an operation mode management module, a multi-time scale control module, a network construction support module, a central management module and a safety and self-recovery module; the optimal global operation mode is automatically decided and switched by the operation mode management module based on power grid dispatching instructions, power market signals and the state of the power station, mode instructions and operation boundaries are provided for other modules, and a smooth switching logic is executed by a mode switching management unit to suppress switching transients, so that the ability of the energy storage power station to convert and operate among multiple modes such as grid-connected control, off-grid network construction and hybrid support of grid-connected network construction is ensured; the multi-time scale control module generates a cooperative control strategy on multiple scales of seconds, minutes and hours, coordinates power response, energy time shift and frequency and voltage regulation, and enhances the stability and flexibility of the power grid.

This invention proposes a pathfinding method for electric robots based on an improved ant colony algorithm. The method transforms the 3D spatial environment into a 3D grid network using gridding technology, employs an improved ant colony algorithm for path search, and optimizes path selection by combining pheromone update rules, heuristic information, and a multi-step search strategy. This method adjusts the smoothness of the path by introducing inflection point parameters, reducing the robot's turning angle and ensuring a smoother path. Specifically, by calculating the angle between adjacent nodes on the path and assigning different inflection point parameters, turning costs are introduced into the pheromone increment calculation, thereby improving path quality. Pheromones are updated using global and local rules, ensuring that the pheromone concentration effectively guides the ants towards the optimal path during the path search process. Experimental results show that this method can effectively shorten the path length, reduce the number of turns, and improve the driving efficiency of electric robots in 3D space.

The application relates to the technical field of traffic control, in particular to a space situation prediction method and system based on an adaptive grid, which comprises the following steps: collecting information of all aircrafts in a current airspace, including the number, speed, x coordinate, y coordinate, z coordinate, heading, pitch angle and time of the aircrafts; according to the x coordinate, y coordinate and z coordinate of the aircrafts, mapping the collected information of the aircrafts into a grid of a pre-constructed airspace basic grid network, and obtaining an input feature sequence; inputting the input feature sequence into a 3D CNN-GCN-Transformer-based airspace grid situation prediction model, and outputting an airspace situation prediction result. Through the application, accurate prediction of the change of the airspace situation can be realized, thereby providing technical support for air traffic control.

The application belongs to the field of house data processing, and is a mass house risk hidden danger visualization evaluation method and system, which comprises the following steps: performing building comprehensive risk evaluation on a single house to calculate a risk hidden danger coefficient of the single house; performing spatial aggregation processing of different degrees on mass houses from multiple administrative region levels to obtain a risk hidden danger distribution situation of the aggregated point houses after aggregation; converting discrete vector points into continuous grid network data for display through kernel density analysis; and performing result analysis and visual rendering display according to the heat space distribution characteristic grid network data. The application calculates heat distribution based on the density weight of the risk hidden danger index, enhances the display effect of the geographical space distribution characteristics of the house risk hidden danger index, and solves the technical problems of lag, full memory occupation and the like during the rendering of the billion-level building surface and attribute data.

The invention discloses a road network quality optimization method and device and electronic equipment. The method comprises the following steps: acquiring poor-quality data in a road grid network; processing the poor-quality data through a drive test agent according to a ReAct mechanism, and generating a problem solution corresponding to the poor-quality data; whether the problem solutions can meet preset requirements or not is judged, if the problem solutions cannot meet the preset requirements, defects existing in the reflection problem solutions are simulated, and according to the defects, the problem solutions corresponding to the poor-quality data are iteratively generated; if the maximum number of iterations is reached or the problem solution can meet a preset requirement, confirming the problem solution as a target solution; and optimizing the poor-quality data according to the target solution, thereby realizing road network quality optimization based on the road test agent ReAct mechanism. The method can improve the efficiency and accuracy of road network quality optimization.

The invention provides a network construction type energy storage optimization configuration method, device and equipment for an island micro-grid. The method comprises the following steps: acquiring operation scene data of the island micro-grid in a scene to be optimized; predicting the operation scene data based on an impact current prediction model to obtain a predicted impact current of the to-be-optimized scene; constructing a multi-objective optimization configuration model; and solving the upper layer model and the lower layer model in the multi-objective optimization configuration model. Therefore, the technical problems that the influence of the impact load on equipment in the island micro-grid is not considered, the application effect is limited and the like in the prior art can be solved.