540 results about "Air space" patented technology

The invention provides a low-altitude space path planning method and system, and relates to the technical field of low-altitude space management and path planning, and the method comprises the steps: S1, dividing a target airspace into a plurality of levels of three-dimensional voxels, and generating a unified-level three-dimensional code for each voxel; s2, voxelizing a task starting point, a task ending point and constraint elements based on unified hierarchical three-dimensional coding to generate a confinement three-dimensional corridor so as to limit a subsequent search space; s3, in the confinement three-dimensional corridor, hierarchical path search from the coarse hierarchy to the target hierarchy is executed, and a discrete path is output; s4, when the dynamic change of the environment is detected, performing increment re-planning on the basis of the discrete path, and updating the affected local path; and S5, smooth processing and safety verification are carried out on the discrete path or the updated path, and a final continuous flight path is generated. According to the invention, the real-time performance, the safety and the verifiability of the low-altitude flight task path can be realized.

The invention provides a low-airspace public route construction method, device and equipment, and relates to the technical field of aircraft airspace route planning. The method comprises the following steps: determining a plurality of target candidate nodes corresponding to a city based on ground traffic topological characteristics of the city corresponding to a low airspace and spatial distribution characteristics of low-risk ground features; performing triangulation on the plurality of target candidate nodes to obtain an initial edge set; wherein the initial edge set comprises a plurality of initial edges; performing sparse processing on the plurality of initial edges based on a greedy tensor graph algorithm, and determining a plurality of target edges from the plurality of initial edges; wherein the length of the shortest path between the two nodes of the target edge is greater than the greedy tensor coefficient times of the Euclidean distance between the two nodes; and constructing a low-airspace public route based on the plurality of target edges. By adopting the technical scheme provided by the invention, the utilization efficiency and safety of the low airspace can be effectively improved by constructing the unified low airspace public route.

The invention discloses a low-altitude airspace planning method and system based on a micro-terminal area, and relates to the field of low-altitude airspace planning, and the method comprises the steps: generating a corresponding take-off and landing area for a low-altitude take-off and landing point or a take-off and landing field, and generating a take-off and landing hub area for an adjacent take-off and landing point or a take-off and landing field, so as to construct the micro-terminal area of the low-altitude airspace; constructing a risk area, and forming a restricted area of the low-altitude airline network together with the control area and the no-fly area; on the basis of the restricted area, generating alternative intermediate points connected with the take-off and landing points or the take-off and landing fields; based on the data of the alternative intermediate points and the data of the micro-terminal area, constructing an initial low-altitude airline network connected with all the points; calculating a weight corresponding to each side line in the initial low-altitude airline network, and optimizing the initial low-altitude airline network based on a weighted network; and removing redundant intermediate points based on the optimized network, constructing access points of the airline network and each micro-terminal area, and generating a final low-altitude airline network. According to the invention, a more reliable technical basis is provided for low-altitude route network planning.

The invention discloses an unmanned aerial vehicle channel management method, platform and device under low-altitude economy, and relates to the technical field of unmanned aerial vehicle navigation and path planning, and the method comprises the steps: determining a preset airspace range, dividing a height layer and longitude and latitude grid units, and constructing a three-dimensional airspace resource map; distributing state label generation mapping; receiving a flight task; performing conflict detection and mediation to generate a target decision in combination with the atlas and the mapping; and executing channel management according to the decision to realize low-altitude unmanned aerial vehicle channel management. The technical problem that a traditional unmanned aerial vehicle channel management mode lacks a low-altitude airspace three-dimensional refined modeling, dynamic conflict detection and priority scheduling mechanism in a low-altitude economic scene is solved, and refined management, real-time conflict avoidance and differentiated resource scheduling of a low-altitude unmanned aerial vehicle channel are achieved. And thus, the airspace utilization efficiency and the flight safety are improved.

The invention discloses a vertical take-off and landing airport air traffic collaborative management method and system. The method comprises the following steps: constructing an airport air model integrating a physical environment, an airspace structure, a natural environment, an aircraft state and observation information; receiving observation information in real time to drive model synchronization; performing prospective multi-dimensional conflict prediction based on the synchronous model and eVTOL dynamics; on the basis of the prediction result, generating a cooperative regulation strategy when multiple constraint conditions are met; converting the strategy into an instruction, issuing the instruction through a security data link, and verifying an execution effect based on observation information to realize closed-loop control; according to the method, the air traffic environment of the vertical take-off and landing airport is systematically and digitally reconstructed through the quintuple model, unified representation of the operating environment and the traffic subject is achieved, the problem of heterogeneous information fusion is solved, the airspace utilization efficiency and safety under high-density operation can be remarkably improved, and the method is suitable for large-scale popularization and application. And the method has strong adaptive capacity to dynamic changes such as wind power disturbance and emergency conditions.

The invention relates to three-dimensional traffic navigation, in particular to a three-dimensional traffic navigation system based on space-time grid coding, which comprises a low-altitude path planning module for planning an optimal flight path for an aircraft in a low-altitude airspace based on a four-dimensional space-time grid coding model and adjusting the path in real time in combination with dynamic environmental factors; the airspace conflict detection module is used for carrying out conflict detection on aircrafts in a low-altitude airspace, judging whether conflicts exist or not and finding potential conflicts in time; the path collaborative planning module is used for carrying out collaborative path planning on the multiple aircrafts with conflicts in the low-altitude airspace and solving the problem of conflicts among the multiple aircrafts; the cross-modal traffic coordination module is used for integrating ground and low-altitude traffic systems, realizing seamless connection and efficient coordination of an optimal ground path and an optimal flight path, and providing an integrated three-dimensional traffic navigation scheme; the method can overcome the defects that in the prior art, path planning efficiency is low, airspace conflicts are difficult to accurately detect, and a cross-modal traffic cooperation mechanism is lacked.

The invention relates to the technical field of low-altitude operation and maintenance management, and discloses a digital twinning-based low-altitude takeoff and landing field infrastructure full-process operation and maintenance system, which comprises a real-time digital twinning construction module, a digital twinning construction module, a low-altitude takeoff and landing field infrastructure full-process operation and maintenance module and a digital twinning construction module, an airspace conflict detection module; an intelligent route planning module; a control instruction generation and execution module; and a data driving optimization module. By integrating multi-source data, updating the digital twin model in real time, carrying out airspace conflict detection and optimizing flight path planning, the path and scheduling time slot of the aircraft can be dynamically adjusted, the aircraft efficiency and the resource utilization rate are maximized, meanwhile, real-time feedback and continuous optimization are provided, and the flight path planning efficiency is improved. And the operation and maintenance intelligence and automation level of the low-altitude take-off and landing field is remarkably improved.

The invention relates to the field of low-altitude communication network planning methods, in particular to a 5G three-dimensional coverage and capacity planning design method for low-altitude economy, which comprises the following steps: performing airspace range limitation and application scene division on a target airspace, establishing a mobile model of a low-altitude terminal, and providing dynamic input for simulation; the method comprises the following steps: establishing a dual-frequency heterogeneous network, and determining base station addresses covering targets at different heights and meeting different signal station spacing; performing three-dimensional coverage and quality simulation on the established dual-frequency heterogeneous network, performing network KPI evaluation on the simulation until the standard is reached, and outputting a network deployment planning scheme; deploying according to a network deployment planning scheme, predicting low-altitude service flow, and adjusting a beam direction and a PRB reservation ratio to realize on-demand allocation of resources; and carrying out actual measurement on the deployed network, collecting an air measurement index, comparing a comparison deviation between the air measurement index and a simulation result, and carrying out fine adjustment on the network according to the comparison deviation. According to the invention, diversified communication requirements are met, and the success rate of terminal access is improved.

The embodiment of the invention provides a low-altitude airspace performance measurement method and device. The method comprises the following steps: establishing an airspace performance index system; the method comprises the following steps: extracting an airspace operation data set and an airspace management data set based on an airspace performance index system, defining quality evaluation dimensions, constructing a judgment matrix by adopting a scale method to evaluate the credibility weight of each quality evaluation dimension, calculating the comprehensive credibility weight of each data source under each quality evaluation dimension, and calculating the credibility of each data source; fusing the airspace operation data set and the airspace management data set according to the comprehensive credibility weight, and determining a corresponding multi-source fusion data set; according to the multi-source fusion data set, constructing an airspace dynamic simulation environment, in the simulation environment, calculating airspace capacity performance according to a dynamic capacity calculation model, calculating airspace safety performance according to a conflict detection model, and establishing a service quality comprehensive evaluation index to evaluate airspace efficiency performance. And determining the comprehensive performance of the airspace by integrating the capacity performance, the safety performance and the efficiency performance. The low-altitude airspace management method and device can improve the efficiency of low-altitude airspace management.

A low-altitude passable map generation method based on multi-source environmental factors comprises the steps that firstly, a low-altitude airspace is divided into three-dimensional grid units serving as basic space units for environmental factor modeling and passability calculation; performing hierarchical expression on multi-source environmental factors such as meteorology, communication, navigation, monitoring, buildings, terrains, underlying surface personnel and buildings, airspace properties, airspace flow, electromagnetism and the like in each grid unit; setting a passable threshold value of each environmental factor according to different types of low-altitude aircrafts, and judging whether the grid is passable for each type of aircrafts based on the actual grade of each environmental factor in the current grid; and superposing the trafficability judgment results of the grids under all environmental factors, and generating a low-altitude trafficability map reflecting the overall trafficability. According to the method, the passability under various environmental factors is judged, the passable map of the low-altitude aircraft is constructed through superposition, and the method is suitable for passable map generation under the complex and changeable low-altitude flight environment.

The invention relates to an unmanned aerial vehicle track optimization method, system and device in an urban high-density airspace and a medium, and the method comprises the steps: dynamically dividing the urban airspace into space-time four-dimensional grid units of different scales according to the vertical height and the time axis based on the real-time airspace traffic density and environmental conditions; establishing a guide vector field pointing to a target position in each four-dimensional grid unit, and when an obstacle and / or a flight conflict is detected, generating a local disturbance vector and dynamically correcting the guide vector field in real time so as to autonomously generate a candidate flight trajectory; and calculating the energy consumption of the candidate flight path based on an unmanned aerial vehicle dynamics model and an environment model, and selecting a path with the lowest total energy consumption as a final flight path under the condition of meeting safety constraints and task time requirements. Compared with the prior art, in a complex dynamic environment of an urban high-density airspace, unification of real-time efficient planning of the flight path of the unmanned aerial vehicle, safe obstacle avoidance and low-energy-consumption optimization is realized.

The invention discloses a fleet formation flight implementation method and device, equipment, a medium and a product, and belongs to the technical field of aeronautical communication. The method comprises the following steps: establishing an air-ground interconnection communication link to realize real-time data interaction between a ground control unit and a plurality of flying civil aircrafts and between the plurality of civil aircrafts; based on an air-ground interconnection communication link, an airborne ad hoc network with a leading aircraft as a core is constructed, and an information interaction network in the formation is formed. Acquiring formation flight environment data; determining a safe area of formation flight based on the formation flight environment data, and calculating the maximum number of aircrafts in the formation and the relative positions of the aircrafts in the formation; and issuing the maximum number, the relative position and the flight decision information to each airplane in the formation through the airborne ad hoc network so as to execute formation flight. According to the embodiment of the invention, the real-time performance and accuracy of communication between the fleet can be effectively improved, and the airspace operation efficiency and flight safety are improved through the formation flight of the fleet.

The invention provides a DCIM-based method for rapidly calculating a green function of a uniaxial anisotropic layered medium and an electromagnetic simulation system. The method comprises the following steps: modeling a uniaxial anisotropic layered medium to be simulated; determining a uniaxial anisotropic dielectric material of each layer, and assigning transverse parameters and longitudinal parameters; determining longitudinal coordinates of field point and source point distribution required to be solved, fitting a uniaxial anisotropic medium Green function spectral domain expression under the field source distribution by using a DCIM method, and solving an analytical expression in a spatial domain by using Somerfeld identical equation properties; solving the size of the electromagnetic field on the plane according to the fitted analytical expression; compared with a direct numerical integration method or a finite element method numerical solution using the Green function, the method has the advantages that the airspace analytical expression corresponding to the field source distributed on the plane is directly fitted, so that the solution of the airspace Green function is greatly accelerated, and the calculation efficiency and the calculation precision are both good in an actual example.

The invention relates to the technical field of path planning, in particular to a low-altitude airspace aircraft flight path planning system which comprises a task analysis module, an airspace modeling module, a path generation module, a feasibility verification module and a path output module. According to the method, sight distance flight rule grade judgment is introduced in airspace boundary extraction to eliminate airspace sections which do not meet the minimum sight distance reference requirement, a connection diagram is constructed, combined calculation of the wind shear angle and the building projection density is executed, and through quantitative analysis of the ratio of the path section height to the wind pressure change gradient, the wind shear angle and the building projection density are calculated. The method comprises the following steps: performing intensity risk labeling on a path in an unstable airflow area to realize path continuity and stability discrimination, constructing a continuous instruction point group based on a stable fragment sequence in a path combination stage, and setting speed and steering adjustment thresholds, so as to enhance the adaptability and execution robustness of a path execution sequence to flight control; and the air route feasibility and the risk avoidance capability in a complex low-altitude environment are improved.

The invention discloses a low-altitude economic intelligent scheduling method based on multi-dimensional data fusion and dynamic topological optimization, and belongs to the technical field of aircraft air traffic control, and the method comprises the following steps: S1, collecting and fusing multi-dimensional data, including meteorological data, equipment data, airspace data, task data and historical data, S2, constructing a dynamic airspace topological network based on the fused data, the topology network comprises a vertex set and an edge set, vertexes represent unmanned aerial vehicles, and edges represent cooperative paths between the unmanned aerial vehicles, S3, generating a global optimal scheduling strategy through a multi-objective optimization algorithm according to the dynamic airspace topology network, S4, executing the global optimal scheduling strategy, updating historical data and model parameters after a task is completed, and S5, executing the global optimal scheduling strategy according to the updated historical data and model parameters. And closed-loop feedback is formed. Multi-target dynamic balance of unmanned aerial vehicle dispatching safety, efficiency and energy consumption is achieved through multi-dimensional data fusion and dynamic topological optimization, the system supports full-process closed-loop automation, and the accident rate and resource consumption are remarkably reduced.

The invention belongs to the field of unmanned aerial vehicle (UAS) traffic management (UTM) and computer science, and particularly relates to a method and system for airspace modeling and path planning of a logistics unmanned aerial vehicle, and the method comprises the steps: S1, receiving multi-source data, and constructing a hierarchical mixed data model; s2, coding the control constraint data and the dynamic environment data into semantic attributes of nodes in a two-dimensional quadtree layer and / or voxels in a three-dimensional octree layer so as to generate a semantic airspace model containing computable rules; s3, based on the semantic airspace model, executing a hierarchical path planning algorithm to determine a flight path from the starting point to the ending point; and S4, combining the refined paths, and outputting a four-dimensional flight path containing a timestamp. The airspace rule is internalized into the model attribute, the real-time performance, safety and compliance of path planning are remarkably improved, the airspace resource utilization efficiency is improved, and key technical support is provided for large-scale urban unmanned aerial vehicle logistics operation.

The invention relates to the technical field of aircraft route design, in particular to a Beidou grid-based low-altitude aircraft three-dimensional route design method, which comprises the following steps of: performing airspace type subdivision processing on a target flight area in a flight space model; judging the airspace available state of the airspace type; dividing an initial route coverage space of the target low-altitude aircraft; carrying out conflict investigation on the airspace use condition in the initial route range; when the conflict checking result is a conflict-free state, performing arc fitting on the air route space trajectory of the target low-altitude aircraft; and verifying the fitted route trajectory, and if the current airspace state is changed, adjusting the fitted route trajectory to obtain a three-dimensional route design scheme. According to the method, the airline can be planned by combining airspace type division and a dynamic available state, the airline can be changed and adjusted according to the real-time airspace, and the flexibility and safety of airline planning are improved.

The invention discloses an eVTOL vertical takeoff and landing field aircraft landing scheduling method, and relates to the technical field of aviation scheduling, and the method comprises the following steps: constructing a three-dimensional aerodynamic interference prediction mechanism fusing aircraft rotor wing downwash airflow and urban building reflection airflow, generating a local aerodynamic coupling strength distribution diagram based on real-time meteorological parameters and takeoff and landing sortie arrangement, and carrying out the three-dimensional aerodynamic interference prediction mechanism; the method is used for identifying high-interference areas. According to the invention, by constructing a three-dimensional aerodynamic interference prediction mechanism and evaluating the path sensitivity, advanced identification and risk path marking of a high-interference area are realized; landing time sequence disturbance and flight buffer control are combined, and the multi-machine rotor airflow overlapping probability is reduced. And adaptive flight control and rhythm regulation and control are carried out based on the disturbance level index, so that the flight safety, scheduling collaboration and airspace utilization efficiency of the eVTOL in the complex urban airspace are effectively improved, and multi-aircraft high-density safe collaborative landing is realized.

The invention discloses an unmanned aerial vehicle arrival and departure joint scheduling method under a conical airspace structure, which solves the arrival and departure joint scheduling optimization problem by adopting a simulated annealing algorithm of a double-disturbance mechanism, balances the solving quality and convergence speed, provides a theoretical basis for vertical take-off and landing field unmanned aerial vehicle arrival and departure joint scheduling, and improves the unmanned aerial vehicle arrival and departure joint scheduling efficiency. The total operation cost of the vertical take-off and landing field is reduced, the guarantee efficiency is improved, and delay is reduced. Meanwhile, the optimal airspace structure design scheme and scheduling strategy are obtained by comparing the total cost under different airspace structure parameters, safety interval time and check time, a theoretical basis is provided for vertical take-off and landing field airspace arrangement and operation scheduling, and certain practical significance is achieved.

The invention relates to an airspace intelligent generation planning method, system and device based on live-action three-dimensional and semantic rules and a medium. The method comprises the steps of performing Euclidean distance field calculation on a target area live-action three-dimensional triangular mesh model, generating a three-dimensional voxelization distance field, extracting a continuous curved surface formed by points with distance values equal to a safety radius in combination with the safety radius of an aircraft, and generating a flight channel; performing airspace constraint rule mapping processing in the flight channel to generate a flight space with a cost attribute; path searching is carried out in the flying space, an initial broken line path is obtained, spline curve fitting processing is carried out on the path, and a continuous flying track is obtained. According to the method, modeling is carried out on geometric information of a live-action three-dimensional model and multi-dimensional airspace constraints, and path searching and trajectory fitting are combined, so that the environment authenticity, path safety and adaptability to aircraft dynamic characteristics of airspace planning are improved, and the responsiveness to dynamic airspace changes is enhanced.

A cooler insert partition is provided for a container having a hard-walled internal chamber surface. The partition has a spanning matrix and a peripherally extensive margin that defines a dimensionally variable boundary that follows the tapered chamber wall, functions as a wiper, and is deformable in at least one of (a) in-plane compression; and (b) out-of-plane deflection. The margin forms an edge of the spanning matrix. The partition is insulated, and is softer and more flexible than the hard-walled chamber surface. The periphery is thinner in cross-section than the spanning matrix and has a smaller specific flexural modulus. The partition has articulated panel sections. The partition is made from a single polymeric monolith that has been cut and formed. In use the partition is progressively re-positioned in the chamber to minimize dead air space as container contents are removed.

The invention relates to the technical field of low-altitude traffic, in particular to a low-altitude traffic flow prediction and dispersion method based on a space-time diagram network, and the method comprises the steps: obtaining and fusing multi-source data; the takeoff and landing field monitors demand abnormity; monitoring the real-time state of the air route node; node traffic health degree combined diagnosis is carried out; quantizing spatial domain resource constraint conditions; performing multi-dimensional assessment on congestion risk levels; dynamically evaluating conflict risks; generating a dynamic grooming strategy; and potential risk evolution prediction and plan preparation. According to the invention, multi-source heterogeneous real-time and historical data are deeply fused through a time-space diagram network, multi-dimensional and progressive intelligent perception and prediction are carried out on the low-altitude corridor traffic situation, different levels of congestion risks from microscopic node overload to macroscopic region paralysis are diagnosed, a dredging strategy is automatically generated, and the traffic guidance efficiency is improved. The problems of decision lag, extensive study and judgment, low efficiency in dredging and incapability of coping with dynamic congestion due to adoption of an isolated static threshold and single-dimensional analysis are effectively solved.

The invention discloses a low-altitude airspace capacity dynamic evaluation method and system based on a time sequence diagram neural network, and belongs to the technical field of low-altitude traffic management, and the method comprises a data collection and fusion module which is used for accessing a multi-source heterogeneous data source, and carrying out the cleaning, standardization and fusion; the dynamic space-time diagram construction module is used for constructing a dynamic space-time diagram evolved along with time according to the processed multi-source heterogeneous data; a time sequence prediction engine module which is embedded with a time sequence diagram neural network model and is used for receiving the time sequence of the dynamic space-time diagram and outputting a predicted operation risk score; and the capacity evaluation and quantification module is used for calculating the dynamic operation capacity based on the predicted operation risk score, and providing services for an upper management platform through an application program interface. According to the method, real-time calculation and accurate prediction of a core decision variable, namely the airspace operation capacity, are realized, so that the most fundamental scientific basis is provided for refined and intelligent management of the airspace, and the safety and efficiency of urban low-altitude traffic are remarkably improved.

The invention relates to a community low altitude-oriented aircraft path planning and traffic capacity evaluation system. The system comprises an airspace facility modeling module, a facility relation judgment module, a hierarchical airspace segmentation module, a noise-speed-safe distance constraint calculation module, a dynamic obstacle marking module, a multi-target path planning module and a bottleneck identification and traffic capacity evaluation module. The method comprises the following steps: modeling airspace facilities, and judging a facility relationship based on spatial geometric attributes and function use requirements of the facilities; performing hierarchical grid division on the low altitude of the community, calculating a safety distance along the movement direction and a safety distance perpendicular to the flight direction, and performing obstacle marking on grids around the building based on the safety distances and the flight direction; and performing path search based on an improved A * algorithm, identifying a bottleneck region, extracting parameters, and calculating the maximum allowable speed of the bottleneck region and the total traffic capacity of the bottleneck region. The system can relieve environmental troubles such as safety compliance dispute and noise pollution caused by operation of the low-altitude aircraft.

The invention relates to the technical field of aircraft intelligent control, in particular to an aircraft adaptive flight attitude adjustment system and method based on an AI algorithm, and the method comprises the steps: obtaining and processing aircraft attitude and environment data in real time, and forming a standardized multi-source input stream; and synchronously extracting time domain and spatial domain features of the input stream through the situation understanding model and fusing the time domain and spatial domain features to generate dense coding representation. And the depth strategy network deduces a reference control moment sequence according to the representation, and couples the reference control moment sequence with a moment correction term generated by the aerodynamic model to form a comprehensive control moment instruction to compensate the nonlinear effect. And finally, calculating and executing a specific driving instruction, and feeding back a result to update the model. According to the method, deep understanding of a complex flight situation is realized, and the adaptive adjustment capability and the control precision of the aircraft in a dynamic environment are improved through fusion of an intelligent decision and a physical model.

The invention relates to the technical field of airspace control, and discloses a low-altitude airspace precise control system and method for a low-altitude aircraft, and the system comprises an airspace digital twinning construction module, a multi-dimensional airspace distribution engine and a carbon constraint flight control module. When a low-altitude digital twin airspace is constructed, the system can solve the problem of signal distortion in airspace situation awareness by deploying a multi-source environmental interference filtering algorithm, analyzing waveform characteristics of sensor data in real time and dynamically identifying and eliminating the influence of electromagnetic interference and meteorological distortion on a monitoring signal; the authenticity and reliability of environment dynamic data acquisition are guaranteed, the construction precision of a digital twin model is improved, the accuracy of an airspace management and control decision is further guaranteed, and when dynamic monitoring of the flight path of the aircraft is implemented, a three-dimensional attitude real-time feedback mechanism is established, the space vector included angle between the actual course of the aircraft and a planned path is continuously calculated, and the real-time dynamic monitoring of the flight path of the aircraft is realized. Therefore, the system can sense the pose offset state in time, and the robust control capability of the low-altitude dense traffic flow is enhanced.

The invention relates to the technical field of air quality monitoring, and provides an air quality sensor based on the Internet of Things and a remote control method thereof, and the air quality sensor comprises a multi-source heterogeneous sensing fusion system, a time-space domain edge gateway system and a dynamic response collaborative central system. The remote control method comprises the steps that a purification device linkage control matrix is processed through a heterogeneous instruction fusion technology to obtain a space optimization control vector set, and the space optimization control vector set forms a man-machine interaction entropy value mechanism; the man-machine interaction entropy value model is processed through an entropy weight dynamic distribution strategy to obtain a space state sensing vector, and the space state sensing vector forms a cross-medium alarm triggering channel; the cross-medium alarm trigger channel is processed by the bidirectional response coupling engine to obtain an equipment state feature topology, and the equipment state feature topology forms a closed-loop control entropy correction instruction. According to the invention, pollution of a physical space is dynamically converted into operable equipment control parameters, and a complete Internet of Things closed-loop system from environment monitoring to purification execution is established.

The invention relates to the technical field of unmanned aerial vehicle detection, and discloses a simulation deduction method and system based on low-altitude airspace multi-source fusion, and aims to realize quasi-synchronous acquisition, format standardization processing and feature-level intelligent fusion of heterogeneous data and solve the contradiction between timeliness and consistency through a strategy of edge collaborative fusion and cloud unified modeling. By constructing a low-altitude airspace digital twinning system, high-precision and high-timeliness three-dimensional space expression capability is realized; setting an analogy threshold according to the historical conflict data, and classifying the future trajectory sequence of the aircraft; in combination with the three-dimensional grid model, abnormal behaviors are pre-judged, conflict risks are pre-warned in advance, scheduling suggestions are generated, a dynamic three-dimensional digital airspace model is finally constructed, and the safety guarantee and management scheduling requirements in a complex low-altitude traffic scene are met.

The invention discloses an unmanned aerial vehicle remote take-off and landing method and system for low-altitude economy, and relates to the technical field of a non-electrical variable control or adjustment system.The method comprises the steps that a distributed network composed of mobile airports with edge computing capacity is constructed, and nodes collect and preprocess multi-source disaster situation data in real time; based on the preprocessed data, the nodes autonomously cooperate with each other through a distributed bidding and dynamic queue jumping mechanism, and an optimal task execution node is determined; the unmanned aerial vehicle adopts leg type rolling path planning, and precise scheduling of airspace and apron resources is realized in combination with a landing appointment mechanism; after landing, material loading and unloading and battery replacement are synchronously completed, and resource state whole-network synchronization and a new round of task bidding cycle are triggered. Through a distributed edge autonomous architecture, the limitation of decision paralysis of a traditional centralized system when communication in a disaster area is interrupted is overcome, and by means of a task bidding and rolling planning mechanism, the accuracy of resource matching and the safety of a flight path in a complex and changeable environment are remarkably improved.

The invention discloses a dynamic planning method for an approaching track of a vertical take-off and landing airport. The method comprises the following steps of: constructing a structured airspace which takes the airport as a center and comprises a plurality of layers of annular waiting rings; assigning a serial number to the aircraft requesting approach and assigning the serial number to a specific waiting sector; dynamically planning an interlayer transfer track based on a multi-constraint optimization model; the airspace state is monitored in real time, and dynamic re-planning is triggered in case of emergencies; and finally generating a final approach trajectory to guide the aircraft to complete landing. According to the method, a funnel-shaped structured airspace which is formed by a plurality of layers of annular waiting circles and takes an airport as a center is constructed, a traditional disordered approaching airspace is converted into an air corridor with a clear spatial level, and each waiting circle is further divided into independently managed sector seats; a plurality of vertical take-off and landing aircrafts can obtain isolated waiting positions in a three-dimensional airspace, so that the complexity of air traffic control command is greatly simplified, and the aircrafts are prevented from scrambling and flying conflicts in the airspace above an airport.