58 results about "Grid code" patented technology

The invention provides an electrical equipment remote monitoring and fault diagnosis system based on the Internet of Things. According to the method, a multi-source heterogeneous sensor network adopts a self-adaptive acquisition strategy, an edge computing node calculates a signal entropy value in real time, when a chaotic signal is found to be abnormal, the acquisition frequency is automatically improved, Beidou grid code space labeling is started, an attention mechanism of an LSTM-CNN hybrid network is combined, power frequency interference and environmental noise are separated, a standardized vector is output, and the accuracy of the chaotic signal is improved. The problem that a traditional filtering algorithm is prone to losing fault features is solved, a cloud server constructs an equipment part fault graph model through a graph neural network, an improved message passing algorithm is used for analyzing a node coupling relation, and a three-dimensional model of equipment and a signal propagation path inverse calculation method are combined. Accurate positioning of hidden faults such as transformer winding turn-to-turn short circuit is achieved, the real-time state of equipment is dynamically mapped through the digital twin, three-dimensional visual maintenance guidance is generated through the maintenance knowledge graph on the basis of monitoring evidences, and the maintenance decision-making efficiency is remarkably improved.

The present invention discloses a system and method for optimizing energy distribution in renewable energy plants. The system (100) comprises a solar power plant or a wind power plant to generate electrical energy. A renewable energy controller (108) monitors real-time energy output and manages energy flow to a grid (112). The renewable energy controller (108) optimizes charging cycles based on forecasts. The renewable energy controller (108) generates dispatch schedules through an intelligent bidding unit (114), considering market prices and grid conditions, while ensuring grid code compliance. A battery digital twin unit (122) is operatively connected to the renewable energy controller (108), to simulate future states of the plant based on historical data, real-time operational data, and weather forecasts, providing inputs for the intelligent bidding unit (114) to optimize energy dispatch and storage.

The invention provides a bridge health monitoring method and system based on Beidou grid codes, and the method comprises the following steps: S1, constructing a bridge spatial index model, generating a multi-level spatial index for a bridge structure according to a Beidou grid coding rule, and building a topological relation table of components and grids; s2, performing multi-modal data feature extraction, performing defect identification on bridge image data through a pre-trained convolutional neural network, and performing abnormal mode detection on sensor time sequence data through a long-short-term memory network; according to the invention, deep coupling of the spatial index and the intelligent algorithm is realized. According to the method, health state evaluation of adjacent areas is mutually referenced, spatial continuity is enhanced, and meanwhile, multi-scale feature aggregation is realized by utilizing a grid hierarchical structure, so that the model can capture relevance of local defects and overall structure response at the same time. In the model training process, space consistency regularization is introduced, it is ensured that evaluation results of adjacent grid units are kept reasonable and continuous, and the misjudgment rate is remarkably reduced.

The invention provides a power grid inspection scheduling method and system based on multi-level subdivision grid driving, and relates to the technical field of inspection scheduling, and the method comprises the steps: carrying out the multi-level space subdivision and space-time coding endowing of a target power grid resource; carrying out table structure design and resource data insertion based on the power grid resource space-time grid coding set and the target power grid resource; querying and determining a target grid coding task set of the to-be-inspected equipment set from the power grid resource subdivision index large table, and performing task scheduling distribution on the target grid coding task set; performing priority ranking on the branch scheduling task sets of the inspection equipment; and performing scheduling planning analysis based on the target branch inspection task sequence set, dynamically generating a target branch inspection path, and performing power grid inspection cooperative scheduling on the unmanned inspection equipment set through the target branch inspection path. According to the invention, the technical effects of improving the space organization capability of the inspection task, optimizing the equipment scheduling strategy and enhancing the resource collaboration efficiency can be achieved.

The invention provides a business processing method of a smart factory platform based on a Beidou grid code, and the method comprises the steps: carrying out the multi-stage grid subdivision of a factory physical space through the Beidou grid code, and generating a unique grid code; the grid coding adopts an integer format to represent position information; equipment sensor data, personnel positioning data and business logic data are bound with the grid codes, and a space-time joint index table is constructed; performing real-time deviation correction on the positioning data through a grid neighborhood topological relation and personnel moving speed constraint to generate a high-precision positioning track; and mapping the service logic to the grid codes through a rule engine, and triggering automatic operation according to grid attributes. Traditional floating point latitude and longitude coordinates are replaced by integer coding, data calculation efficiency is optimized through bit operation, cross-level business association and fast path planning are supported, and business response efficiency is improved.

The invention discloses a building grid enterprise migration clue generation method and system, a storage medium and a program. The method comprises the following steps: S1, establishing a building three-dimensional grid code; s2, accessing an enterprise entity, an address text and a heterogeneous presence event stream; s3, gate region co-occurrence anchor point event pairs are constructed only based on the anchor point qualification set, multi-source event flow clock skew and drift rate are estimated and corrected in a segmented mode, drift continuity constraint is applied, and a unified time axis is formed; s4, segmenting a resident section on a unified time axis, generating a migration candidate, and executing passing feasibility verification and grid fingerprint template consistency verification on the migration candidate; and S5, constructing a minimum evidence matrix and performing decision according to a one-ticket override mode, taking gate area coverage consistency as a necessary evidence source, performing override when conflicts occur, triggering a mending closed loop when the evidence is in a gap, and then outputting a migration clue or a suspected clue and a recheckable evidence packet. According to the method, pseudo migration clues caused by wireless coverage overlapping and cross-source clock skew can be inhibited, and clue reliability and auditing performance are improved.

This invention relates to low-altitude security in petrochemical plant areas, specifically to a method and system for creating a three-dimensional safety map of petrochemical plant areas. The method involves multi-level grid subdivision of the petrochemical plant area based on GeoSOT, matching grid accuracy according to target size, and generating a unique BeiDou grid code for each grid cell. Multi-source data is unified to the BeiDou grid code spatiotemporal reference, an error compensation model based on environmental perception is established to suppress multipath interference, and multi-source data fusion is performed. The grid status is dynamically updated, partially updated, and version-managed to achieve real-time updates and historical backtracking of the airspace situation. Target threat assessment is conducted, and countermeasure resources are scheduled for rapid countermeasures against threatening targets. A three-dimensional map visualization rendering is performed, intuitively presenting the airspace situation, target trajectories, and countermeasure equipment status. This invention effectively overcomes the shortcomings of two-dimensional control, such as airspace blind spots, insufficient positioning accuracy in complex environments, inability to achieve three-dimensional fusion of multi-source data, and low efficiency in dynamic control response.

The application discloses a Beidou power internet of things sensor identification coding method, system, device and medium, relates to the technical field of power internet of things, and the method comprises the following steps: acquiring the home data, position data and attribute data of a target power internet of things sensor; sequentially performing basic layer coding and temporary authorization layer coding on the home data to obtain home coding information; extracting a power area grid code and Beidou longitude and latitude coordinates of the sensor from the position data to generate position coding information; respectively converting different categories of data in the attribute data into fixed-length sub-codes, splicing the fixed-length sub-codes to obtain fusion coding information; and sequentially splicing the home coding information, the position coding information and the fusion coding information into a coding prefix, taking real-time Beidou information of the sensor as a coding suffix to obtain a target identification code, thereby improving the operation and maintenance efficiency of the power internet of things device.

The application discloses a Beidou power internet of things sensor identification coding method, system, device and medium, relates to the technical field of power internet of things, and the method comprises the following steps: acquiring the home data, position data and attribute data of a target power internet of things sensor; sequentially performing basic layer coding and temporary authorization layer coding on the home data to obtain home coding information; extracting a power area grid code and Beidou longitude and latitude coordinates of the sensor from the position data to generate position coding information; respectively converting different categories of data in the attribute data into fixed-length sub-codes, splicing the fixed-length sub-codes to obtain fusion coding information; and sequentially splicing the home coding information, the position coding information and the fusion coding information into a coding prefix, taking real-time Beidou information of the sensor as a coding suffix to obtain a target identification code, thereby improving the operation and maintenance efficiency of the power internet of things device.

This application provides a data security sharing method, apparatus, and system based on a usable but invisible mechanism, applied in the field of cross-domain data sharing security technology. It constructs a secure sharing mechanism based on a three-dimensional collaborative approach of "spatiotemporal-object-rights," deeply integrating a spatiotemporal grid coding system with a digital object identification system to generate unique identifiers with spatiotemporal semantics. This is combined with a rights root mechanism to complete data ownership registration. During data circulation, relying on data network infrastructure and digital contract mechanisms, usage requests are routed to the data provider side, and a trusted execution environment bound to the contract is scheduled. This ensures that the original data completes secure computation without leaving the local domain. Simultaneously, traceable evidence information and measurable encrypted credentials are automatically generated along with the computation results. Ultimately, this achieves trusted sharing throughout the entire lifecycle of data—data that remains within the domain, usable but invisible, controllable, and measurable—providing fundamental support for a data-driven society.

The invention discloses a grid code-driven power grid data resource multi-dimensional management method and system, and relates to the technical field related to power grid data management, and the method comprises the steps: carrying out the partition planning of grid division granularity for a preset power grid region, and generating a grid code coding result; obtaining multi-dimensional power grid data type generation features in a preset power grid region; performing hierarchical relationship analysis on a time dimension, a space dimension and an equipment dimension, and establishing a multi-dimensional data hierarchical relationship; constructing a large multi-dimensional hierarchical index model in combination with a grid code coding result and a multi-dimensional data hierarchical relationship; and executing storage and calling management of the power grid data resources of the preset power grid region by using the multi-dimensional hierarchical index large model. The technical problems that in the prior art, power grid data multi-dimensional characteristics are difficult to manage efficiently, time, space and equipment dimension data are processed dispersedly, and query management efficiency and accuracy are low are solved, and the technical effect of improving the accuracy and efficiency of power grid data resource integration management is achieved.

The application discloses a kind of dual-target collaborative multi-satellite resource allocation methods based on spatial dispersion, effectively solve the problem of inconsistent specification in capability description, difficult calculation in multi-satellite resource allocation under large-scale remote sensing satellite scene.The method comprises the following steps: first, the earth surface is dispersed into grid, precalculates satellite coverage capability and is mapped to grid, realizes uniform description of coverage capability;Second, a satellite coverage capability master table is constructed with grid code as the primary key, for efficient retrieval;Finally, based on the master table, with optimal task completion time as the main target, the lowest energy consumption as the secondary target, the task completion time is compressed through time optimization stage, the total energy consumption is reduced under time constraint in energy consumption optimization stage, and the conflict of dual targets is balanced by means of dynamic relaxation mechanism, to generate multiple optimization schemes, realize the efficient allocation of large-scale remote sensing satellite resources.

The invention relates to aircraft path planning, in particular to a cross-city low-altitude aircraft path planning method, which comprises the following steps of: performing multi-scale three-dimensional subdivision on an airspace by utilizing a Beidou grid coding technology GeoSOT, and dividing different types of airspaces into grid units with different precisions; performing path planning on the low-precision grid units for the airspace of the cross-city / suburban area type, and outputting a global reference planning path; for airspaces of urban edge and urban core area types, path planning is carried out on medium-precision and high-precision grid units respectively, and local fine planning paths are output; and post-processing the global reference planning path and the local fine planning path, and finally outputting a cross-city flight path. According to the technical scheme provided by the invention, the defects of relatively low safety and efficiency of cross-city path planning in the prior art can be effectively overcome.

A power system includes power equipment and an electric-powered vehicle. The power equipment includes a powering unit and a storage unit. The powering unit powers a power grid in each of a first period and a second period. The storage unit stores grid code information. The electric-powered vehicle includes a storage device and a control device. When the first period begins, the control device obtains the grid code information from the power equipment and controls the transmit power during the first period, in accordance with the obtained grid code information. The control device stores the obtained grid code information into the storage device. If a predetermined condition is met, the predetermined condition indicating that the electric-powered vehicle has been in stationary across a third period, the control device controls the transmit power during the second period, in accordance with the grid code information stored in the storage device.

The application discloses a method for enhancing position monitoring of a closed space PNT network and a high-precision map, and relates to the field of wireless positioning. The method comprises the following steps: establishing a semantic unit grid of a target closed space; establishing a mapping relationship database of semantic information of any one entity object element and position information of the semantic unit where the entity object element is located; acquiring a grid code of a semantic unit where a target entity object is located; and obtaining position semantic information of the target entity object based on the grid code of the semantic unit and the mapping relationship database. According to the technical scheme, the grid code of the semantic unit where the user is located is calculated only once, the semantic information is obtained by reading the mapping relationship database index based on the grid code of the semantic unit, and the calculation amount and response waiting time of the user position monitoring information are greatly reduced. Furthermore, the rationality of the user position monitoring information is improved, and the calculation amount of the generated user position density monitoring information is reduced.

The embodiment of the invention provides a low-altitude Internet of Things equipment site selection method and device based on an airspace grid, and is applied to the technical field of unmanned aerial vehicles. The method comprises the following steps: constructing a bottom plate grid set according to three-dimensional ground feature data of a target area based on a preset three-dimensional grid coding level; constructing an airspace grid set according to a preset zenith height and the bottom plate grid set; generating a candidate grid set according to the bottom plate grid set; calculating the airspace coverage range of each candidate grid in the airspace grid set according to the base plate grid set and the candidate grid set; and traversing the candidate grid set by using a greedy algorithm based on grid coding with a target of quickly approaching a preset coverage rate, and determining a low-altitude networking equipment site selection scheme according to the airspace coverage range. In this way, the problems that in a low-altitude scene, in the face of complex and changeable ground object shielding, reasonable site selection is carried out on low-altitude Internet of Things radio equipment, and indexes such as the coverage rate and the overall economical efficiency are met can be solved.

The embodiment of the disclosure provides a large-scale low-altitude flight safety dynamic calculation parallel scheduling method and device, which is applied to the technical field of low-altitude airspace safety management. The method comprises the following steps: generating a geographical space grid by griding a low-altitude airspace based on a geographical coordinate system, and performing grid coding on each grid; dividing each grid into a calculation area and a buffer area; the calculation area is a core operation unit, which is used for real-time dynamic calculation and parallel scheduling of large-scale low-altitude flight safety, and the buffer area is a data interaction hub, which is used for independently loading and caching grid data of adjacent areas; according to the position information and the safety envelope range of the aircraft, the aircraft is matched to the calculation area to which the aircraft belongs, and the aircraft data is routed to the corresponding buffer area. Based on this, the calculation decoupling between the partitions can be realized through the cooperative work of the calculation area and the buffer area, the dynamic calculation efficiency of the low-altitude flight safety is significantly improved, and therefore a real-time and efficient safety calculation solution is provided for a high-density low-altitude flight scene.

The application provides an asset management system and an asset coding mode, and the asset management system comprises a master control module; the master control module is connected with an acquisition module, a business management module, a visual management module and a data storage module; the acquisition module is used for acquiring an RFID label of an asset and longitude and latitude information of asset positioning; the business management module is used for completing general business functions of asset management; the visual management module is used for modeling an asset environment and related assets and visually displaying the assets; and the data storage module is used for storing data generated in the whole business logic process of logistics assets; the application solves technical problems that may be encountered in asset management of enterprises, such as many asset types, great management difficulty, difficult asset positioning and difficult historical information checking, and further provides an asset coding mode based on a Beidou grid code, so that asset visual management is facilitated, and the application can effectively monitor and manage asset information in enterprises.

This application belongs to the field of visualization, specifically disclosing a method and system for visualizing a maritime spatiotemporal knowledge graph. The method includes: dividing the projection plane of Earth's latitude and longitude space into multiple spatial grids and encoding them; dividing it into equal-length time segments in the time dimension and encoding them; merging the spatial and temporal codes to obtain a spatiotemporal grid code; using the spatiotemporal grid code as a hash key to construct a hash index table associating the spatiotemporal grid code with the unique identifier of the entity; rendering the entity as a three-dimensional sphere located within the corresponding three-dimensional cube according to the hash index table, and drawing three-dimensional curves between the three-dimensional spheres of the associated entities according to the triple data; dynamically switching the current spatiotemporal grid and updating the visualization content in response to user interaction commands. Through this application, the spatiotemporal relationships and triple relationships between entities in the graph can be clearly expressed, improving the comprehensiveness of knowledge graph visualization.

The invention discloses an indoor accompanying method based on a low-cost terminal grid coding dynamic knowledge base, and belongs to the technical field of indoor intelligent navigation, and the method comprises the following steps: S1, generating a reference station set according to an electronic map of an indoor area; s2, generating a grid set covered by each reference station according to the coverage areas of the reference stations in the reference station set; s3, loading private knowledge bases to the reference stations according to the grid sets covered by the reference stations; and S4, training the single-layer lightweight neural network according to the private knowledge base loaded in the reference station, and reasoning by using the trained lightweight neural network to generate final navigation information.

This invention discloses an intelligent management and control system and method for the entire e-commerce material process, relating to the field of e-commerce warehousing management and control technology. The system includes collecting the initial storage location and physical attributes of e-commerce materials in a warehouse to generate an initial state file; performing structured decomposition of physical attributes and multi-dimensional feature encoding of storage location spatial grid coding on the file to generate a set of digital features for the materials; combining historical orders and real-time transaction signals; and performing dynamic demand correlation analysis through a demand forecasting network to generate a demand forecast spectrum bound to the time dimension. Using a material flow simulator, the initial file and demand forecast spectrum are simulated in a spatiotemporal evolution to obtain a set of expected flow paths and a sequence of key node states. A path optimization engine calculates the globally optimal movement scheme, converts it into a control command stream executable by automated warehousing equipment, and issues it. This method achieves intelligent management and control of the entire e-commerce material warehousing process, optimizing the deduction and execution logic of material flow.

The invention provides a remote sensing data scheduling method and device based on a space grid, and relates to the technical field of remote sensing image processing. The method comprises the following steps: establishing a mapping index of remote sensing data and grid codes by constructing a multi-specification space grid coding system; after a user request containing parameters such as a space range and a time range is received, a target grid code is positioned; grid-level byte segmentation reading is realized based on file pointer offset, and real-time processing is completed in a memory; and finally, outputting in a standard WMTS / WMS format. The device comprises a grid management module, a scheduling engine module, a real-time processing module and a service publishing module. According to the scheme, preprocessing is not needed, the data scheduling efficiency is improved, multi-temporal data unified service and dynamic inlaying are supported, the problems that traditional remote sensing data service is large in resource consumption, and multi-temporal calling is difficult are solved, and the real-time service requirement of mass data is met.

This invention discloses a ship path planning method and system based on BeiDou grid codes, belonging to the field of path planning technology. The method includes acquiring planning data of the area to be planned for the ship, classifying the ship into priority levels, combining prior paths, priority levels, and planning indicators, generating a BeiDou grid code-based grid map through a real-world BeiDou grid code management module for global path planning, conducting collision risk analysis based on real-time sensing data from navigation and positioning systems, AIS, gyrocompass, logs, waves, and weather forecasts, evaluating the path planning effect based on the post-planning task completion efficiency, and adaptively adjusting the grid code level based on different indicators such as planning effect or energy efficiency. This method analyzes and mines real-time sensing data such as port information, ship route information, historical path planning data, and meteorological information to recommend routes, improve the safety, economy, and reliability of routes, and enhance the ship's intelligence level and operational efficiency.

The invention provides a ship tracking multi-source information fusion method and a ship tracking multi-source information fusion system driven by variable long and short messages. The method comprises the following steps: acquiring ship observation data from at least one single-satellite information processing load; calculating a target position of the ship based on the ship observation data, and obtaining an estimated positioning error corresponding to the target position; determining a matched grid level from a preset global sea surface layered grid according to the estimated positioning error; according to the target position, determining a corresponding grid unit in the determined grid hierarchy, and obtaining a grid code of the grid unit; grid codes of the grid units serve as ship position information, and a position information message is generated and sent to a fusion processing terminal through a satellite short message communication link; and the fusion processing terminal performs multi-source information fusion on the grid codes from different single-satellite information processing loads or different time to generate a ship tracking trajectory.

The invention provides a power system and an electric vehicle. An electric power system includes an electric power facility and an electric vehicle. The power equipment includes a power supply unit and a storage unit. The power supply unit receives transmission power from the electric vehicle during each of a first period, which is a period during which power supply adjustment is performed, and a second period following the first period, and supplies power to the power grid. The storage unit stores the grid code information. An electric vehicle includes a storage device and a control device. When the first period starts, the control device acquires the grid code information from the power equipment, and controls the transmission power during the first period on the basis of the acquired grid code information. The control device stores the acquired grid code information in a storage device, and when a predetermined condition indicating that the electric vehicle is stationary over the third period is satisfied, controls the transmission power during the second period on the basis of the grid code information in the storage device.

The embodiment of the invention provides a rescue method based on space-time grid coding, a storage medium and electronic equipment. The rescue method comprises the following steps: constructing a continuous seamless planar or three-dimensional space grid unit; the motion route is associated with various entity objects in a low-altitude airspace above the motion route according to geometric features of the motion route and grid codes covering positions or ranges of the motion route; dynamically binding the trajectory of the rescue aircraft with the space-time grid; based on a space-time grid index emergency rescue path planning algorithm, dynamic planning of a rescue path in a complex airspace environment is realized through a structured spatial index and hierarchical topological relation; and calculating an intersection set and a union set of the emergency rescue worker path and rescue aircraft path grid set and the obstacle grid set, and generating a complete path after obstacle avoidance. Through innovative fusion of space-time coding and grid management, digitization and intellectualization of the whole process of outdoor emergency rescue from space modeling and dynamic tracking to path planning and conflict resolution are realized.

The invention discloses a double-target collaborative multi-satellite resource allocation method based on spatial discretization, and effectively solves the problems of inconsistent capability description specifications and difficult calculation in multi-satellite resource allocation in a large-scale remote sensing satellite scene. The method comprises the following steps: firstly, discretizing the earth surface into a grid, pre-calculating the satellite coverage capability and mapping the satellite coverage capability to the grid to realize unified description of the coverage capability; secondly, a satellite coverage capability large table with grid codes as main keys is constructed and used for efficient retrieval; and finally, based on the large table, taking the optimal task completion time as a main target and the lowest energy consumption as a secondary target, compressing the task completion time through a time optimization stage, reducing the total energy consumption under the time constraint through an energy consumption optimization stage, balancing the double-target conflict by means of a dynamic relaxation mechanism, and generating a plurality of optimization schemes. And efficient allocation of large-scale remote sensing satellite resources is realized.

The invention relates to an autonomous underwater navigation method and navigation system based on hydrological field assistance. The method comprises the following steps: carrying out gridding division on a navigation water area to map a continuous geographic space position into a discrete grid category; inputting the multi-dimensional hydrological feature data adjacent to the aircraft into a deep neural network, predicting a grid code to which the multi-dimensional hydrological feature data belongs, and translating the grid code into latitude and longitude information to construct first trajectory data; performing statistical outlier detection and fitting residual detection in parallel in a sliding window through an RANSAC filtering algorithm, identifying and retaining a real maneuvering point in combination with a corner point geometric feature protection mechanism, and repairing a trajectory through linear interpolation after an outlier is removed so as to obtain second trajectory data; on the basis of the second trajectory data, accumulative errors of the navigation system are corrected online, and long-voyage navigation is achieved. The scheme has excellent offline positioning performance, and provides feasible technical support for long-voyage AUV autonomous navigation.

The embodiment of the invention provides an equipment placement rationality evaluation method and system based on a rasterizing algorithm and a Holt-Winters algorithm, and belongs to the technical field of data processing. The system comprises a data acquisition module, a rasterization processing module, a region classification module and a hybrid prediction model training module. The data acquisition module is used for acquiring area data, people flow data, equipment data and weather data; the rasterization processing module is used for dividing the target area into a plurality of grids and generating a grid code for each grid; the grid code comprises a region code, a reserved code and a code sequence number; the region classification module is used for classifying the grids according to the people flow data; and the hybrid prediction model training module is used for training in combination with a Holt-Winters algorithm and a support vector machine algorithm to obtain a prediction model and obtain a predicted value of the number of devices. According to the method, the equipment deployment scientificity, the operation and maintenance efficiency and the emergency response capability can be improved, and the equipment configuration efficiency is improved.

The application discloses a kind of BIM data processing method and system based on beidou grid code comprising: file analysis module parses BIM data and identifies each electric power physical entity in the BIM data;Conversion coding module extracts the model shape, model size and model geospatial information of each electric power physical entity;According to the model shape, model size generates three-dimensional grid;According to the model geospatial conversion into beidou grid code;Storage correlation module stores entity data into database and saves, establishes correlation with other information of original entity in database through the beidou grid code, carries out fusion management.The BIM data processing method based on beidou grid code provided by the application can effectively solve the fusion search problem of BIM data, by establishing the grid data model based on beidou grid code, meet the fusion management needs of electric power digital asset big data and electric power space-time big data.