85 results about "Grid code" patented technology

The invention discloses a low-altitude integrated management system based on a grid digital twin model and an intelligent algorithm, and relates to the technical field of low-altitude aircrafts. The method comprises the following steps: multi-source sensing data fusion and grid coding are carried out, and an airspace environment space-time database is constructed; constructing an airspace environment space-time database to carry out three-dimensional subdivision on the airspace; generating a multi-scale grid twinborn body, and associating a corresponding attribute for each level of grid according to a management requirement; generating an airspace risk thermodynamic diagram in the future 5-30 minutes; establishing a grid state change triggering rule; and generating a multi-target optimal path set by taking the grid navigation cost as a weight. According to the invention, by combining the real-time operation data of the low-altitude aircraft, the meteorological environment and other data with the artificial intelligence algorithm and the navigation rule base, the airspace traffic flow is analyzed, the flight plan is optimized, the flight route is intelligently distributed, the automatic route setting of any two points is realized, and the response speed of the low-altitude flight service system and the processing capability of various flight data are improved.

The invention relates to an indoor unmanned aerial vehicle dynamic obstacle avoidance method and device, a medium and a program product. The method comprises the following steps: acquiring an initial planning path; dynamic obstacle detection is carried out to obtain an obstacle detection result, and the obstacle detection result comprises 4D grid codes corresponding to grid volume elements where one or more detected dynamic obstacles are located; segmenting the initial planning path based on the 4D grid codes of the one or more dynamic obstacles, and determining one or more target road sections needing to be replanned in the initial path; and re-planning the target road section by using an improved A star algorithm and a node search strategy, and combining the re-planned road section with other road sections in the initial planning path to obtain a final path planning result. According to the dynamic obstacle avoidance algorithm for the indoor unmanned aerial vehicle, sudden dynamic obstacles in an indoor environment are effectively dealt with, and path adjustment during dynamic obstacle avoidance is realized.

The invention discloses a human and vehicle positioning method and system driven by grid codes, and relates to the technical field of satellite navigation and position service, and the method comprises the steps: obtaining the landform information through a radar and a GIS, carrying out the multi-level space grid division through combining with a Beidou coordinate system, and obtaining a grid set with codes and fuzzy bands; real-time position data of people and vehicles are collected through the Beidou terminal, fuzzy zone intrusion analysis is performed after grids are matched, grid codes with normal / abnormal identifiers are generated, backtracking correction is performed when the grids are abnormal, direct adoption is performed when the grids are normal, and accurate positioning is achieved. According to the invention, the technical problems of poor suitability of traditional grid coding, imperfect boundary processing and dynamic tracking mechanism, easy lattice jumping in positioning and insufficient precision in the process of realizing human-vehicle positioning based on radio wave positioning are solved, and the technical effects of optimizing coding adaptation, boundary and tracking mechanism and realizing accurate and continuous human-vehicle positioning are achieved.

The invention provides an inspection data acquisition optimization method and system based on a grid code, and electronic equipment, and relates to the technical field of data processing, and the method comprises the steps: traversing parts of a target substation, carrying out the grid code layout, and constructing a digital twin three-dimensional model; obtaining a target inspection point set and a target grid code set in the inspection task, and planning an inspection route; routing inspection is carried out according to the routing inspection route, when any target routing inspection point is reached, positioning is carried out through the grid codes, and acquisition parameters are determined; and adjusting a holder camera according to the collection parameter set, carrying out inspection data collection, carrying out verification by using a digital twin three-dimensional model, and carrying out feedback adjustment based on a verification result. The technical problem that in the prior art, due to inaccurate positioning, the collected data quality is not high, and the inspection efficiency is affected is solved, inspection is conducted through grid code mark positioning and parameter adjustment, it is ensured that the inspection collected data can meet the inspection target, and the inspection efficiency is improved.

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 invention relates to an indoor unmanned aerial vehicle path planning method and device, a medium and a program product. The method comprises the steps that in response to a path planning instruction of the unmanned aerial vehicle in an indoor environment, 4D grid codes corresponding to the current position and the final position of the unmanned aerial vehicle are acquired, and the 4D grid codes are used for uniquely identifying indoor grid volume elements; based on the position of the unmanned aerial vehicle and the position of the obstacle, the collision risk is calculated and evaluated through a space-time relation, and the space-time relation comprises a space relation and a time relation; and based on the evaluation result, the path is planned by using an improved A star algorithm and a node search strategy, the improved A star algorithm uses a cost function containing flight constraint and distance penalty, and the node search strategy adopts direction heuristic pruning. The invention provides an improved A star algorithm for indoor unmanned aerial vehicle path planning, and ten-millisecond-level path planning under a ten-million-level grid voxel map is realized.

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 discloses a distributed control system topological structure optimization method and system oriented to a gas turbine, and belongs to the technical field of gas turbine control. The method comprises the following steps: establishing a double-feature grid coding system fusing space coordinates and an adjacent distance matrix, and updating a shortest path between nodes by using a Floyd algorithm; designing a function-resource allocation scheme by combining engineering constraints such as node working temperature limitation and bus load uniformity; the position of a central intelligent node of the star topology structure is optimized by adopting a particle swarm algorithm, and the local wire harness length is shortened; the node connection sequence of the annular topological structure is optimized through a genetic algorithm, and the redundancy of key nodes is improved; and finally, a hybrid topological structure is formed. The example verifies that the total wire harness length of a certain type of gas turbine control system is reduced by 61.6% compared with that of a traditional centralized architecture, the signal transmission reliability is remarkably improved, the development and maintenance cost is reduced, and the method has important engineering application value.

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 discloses a ground feature Beidou grid data generation method. The method comprises the following steps: determining a ground feature polygonal patch set under a projection coordinate system according to a ground feature three-dimensional model; constructing an axial bounding box according to the polygonal patch set; determining an effective grid unit model of the ground object three-dimensional model according to the axial bounding box and the hierarchical precision of the Beidou grid; and calculating a Beidou grid code according to the central point geographic coordinate of each grid unit of the effective grid unit model, and adding Beidou grid attribute information corresponding to the Beidou grid code to the attribute of the corresponding grid unit to obtain ground feature Beidou grid data. According to the method, the spatial reference frame consistent with the Beidou grid system can be established for the three-dimensional universal model in any format, and the calculation efficiency is improved. The invention further discloses a device for implementing the method, electronic equipment and a storage medium.

Operation of an electric vehicle (EV) is monitored and controlled to enable operation in a vehicle to grid (V2G) configuration. During bidirectional power transfer, energy stored in batteries onboard the electric vehicle can be transferred to the grid. During a period of high energy input into the grid, e.g., energy sourced from wind turbines / solar, the energy can be stored in the onboard batteries. During low energy input, the energy stored in the batteries can be transferred to the grid. V2G operation is conducted in accordance with a grid code(s) implemented at the grid. As the EV operates from one location to another, a grid code pertaining to a current location of a V2G operation by the EV can be identified and implemented on the EV. In the event of the grid goes into an emergency condition, the EV can assist in returning the grid to a normal operating condition.

The invention provides a three-dimensional geographic entity space-time identification coding method based on a Beidou grid code, and belongs to the field of live-action three-dimensional, and the method employs a classification identification + space identification + time identification structure, and rapidly calculates an outsourcing 3D convex hull of a three-dimensional geographic entity through KD tree pruning and principal component analysis. The method comprises the following steps of: determining a subdivision hierarchy of a maximum inner packet grid by using neighborhood seed growth, calculating an entity space identifier which takes a Beidou three-dimensional grid position code as description by using a six-point method, further calculating an entity time identifier in a form of geographic entity ID + timestamp, realizing accurate identification of a geographic entity three-dimensional space position and time information, and realizing accurate identification of the geographic entity three-dimensional space position and time information. The problems that traditional geographic entity coding is insufficient in identification precision in three-dimensional space and time dimension, data integration is difficult and the like are solved, and the method has extremely high application value in the fields of live-action three dimensions, smart cities, low-altitude economy and the like.

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.

An energy conversion device 100 for an electrolysis system (150) comprises: an adjustable transformer (101) having a primary side (102) connectable to an AC grid (103) via a point of common coupling, a secondary side (104) and a tap switch (105); a rectifier transformer (106, 107) having a primary side (108, 109) configured to provide a secondary side voltage differing by a predetermined phase shift; a thyristor rectifier unit (114, 115, 116, 117) forming a multi-pulse rectifier system (118) that receives the secondary side voltage and provides a DC current to the electrolyser unit (119, 120, 121, 122); and a protection controller unit 133 for connecting / disconnecting the device to / from the power grid as a function of a comparison of the secondary-side voltage to a corresponding secondary-side threshold voltage, where the multi-pulse rectifier system comprises a synchronization control circuit (123, 124, 125, 126) providing thyristor gate pulses at an emission angle synchronized with the secondary-side voltage, and a protection controller unit 133 for connecting / disconnecting the device to / from the power grid as a function of a comparison of the secondary-side voltage to a corresponding secondary-side threshold voltage. And wherein the respective secondary-side threshold voltage is determined from a nominal threshold voltage specified by a grid guideline at the point of common coupling and a physical transformer parameter adjusted according to tap switch position information (129).

The invention discloses a GIS (Geographic Information System)-based position flow anomaly detection method, equipment and a medium. The method comprises the following steps: after receiving position stream data, gridding the position stream data based on a quadtree grid, and converting latitude and longitude coordinates into decimal numbers; detecting the regional position of the position stream data in the quadtree grid according to the decimal number; in combination with the time window queue, residence time anomaly detection and trajectory deviation anomaly detection are carried out respectively; and finally, sending an abnormal detection result to an early warning center. According to the method, the GeoSOT grid coding technology is adopted, the traditional complex space geometric operation is simplified into numerical value comparison, and the dynamic sliding time window is combined to carry out lightweight processing on the grid trajectory data, so that the calculation amount is greatly reduced, the problem of insufficient real-time performance of the traditional method is effectively solved, and the quick response detection of the position flow anomaly is realized.

The invention discloses a rapid neighbor search method and device, equipment, a medium and a program product, and belongs to the technical field of data processing.The method comprises the steps that a geographic position set and an initial grid angle side length are obtained and rasterized, and a grid set is obtained; determining the number of geographic position points in the initial nine-rectangle grid of the target position, and calibrating the initial grid angle side length according to the numerical relationship between the number of the geographic position points and a preset threshold value to obtain an updated grid angle side length; rasterizing again to obtain updated grid coding information and an updated grid set; and obtaining the updated Sudoku and determining the distance between all the geographic position points and the target position to obtain a fast neighbor search result. According to the method and the device, the situation of missing detection of grid edge points is avoided by adopting Sudoku grid traversal, and the distance calculation amount and the algorithm complexity are greatly reduced, the operation efficiency is improved, and the use experience of a user is effectively improved by adaptively adjusting the grid side length and selecting a more appropriate grid size.

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.

The invention discloses a construction, management and maintenance integrated data management system for traffic infrastructure, and relates to the technical field of traffic infrastructure full life cycle management, and the system comprises a dynamic space-time grid coding engine, a multi-modal feature vector fusion engine, a dual verification module and a self-evolution feedback module which are connected in sequence. According to the construction, management and maintenance integrated data management system for the traffic infrastructure, the problem of space-time reference dislocation of multi-source heterogeneous data is solved through a dynamic space-time grid coding engine, and accurate space association of a design model, construction records and monitoring data is achieved; the cross-modal fusion mechanism based on lightweight feature extraction and twin network hard constraint solves the problem of intelligent alignment of images, texts and time series data, and improves the real-time performance and accuracy of disease state perception. A physical rule engine preferential interception and dual verification collaborative architecture eliminates decision risks caused by data errors and solves the hidden danger of delay of structural safety early warning.

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 present invention relates to an intelligent airspace management system based on a grid code, belonging to the field of aviation control technology. A grid code conversion and management module is added to the airspace management system. The application of the grid code not only greatly reduces the computational complexity and amount of massive airspace data processing, significantly improves the processing capability and response speed of the airspace management system, but also realizes the optimized utilization of airspace resources through dynamic management of the grid code. The present invention also realizes conflict detection and route planning based on the grid code, constitutes a full life cycle control system support for airspace management, and solves the problems of poor airspace management capability, slow processing speed of large data volumes, low efficiency, and lack of full life cycle management capability of existing airspace management systems.