Unmanned aerial vehicle airport management and control area demarcation system based on beidou positioning and intelligent switch cabinet

Abstract

This invention discloses a UAV airport control area delineation system and intelligent switch cabinet based on BeiDou positioning. The invention relates to the field of UAV air traffic control technology and includes: a central control platform, a distributed intelligent switch cabinet cluster, and a distributed spatiotemporal command fusion system. The central control platform dynamically generates a geofencing rule set containing polygon vertex coordinates and control status identifiers based on BeiDou positioning data. This UAV airport control area delineation system and intelligent switch cabinet based on BeiDou positioning realize the conversion of geofencing rules into physical control commands: localized rule parsing by the edge decision module eliminates compilation delays at the central end; a spatiotemporal dual verification mechanism ensures the timeliness and authenticity of commands; and a dual-channel transmission network maintains reliable command reachability in complex electromagnetic environments. It solves the control lag problem caused by network latency, clock out-of-sync, and state asynchrony, enabling the precise implementation of critical control actions such as sudden no-fly orders.

Description

Technical Field

[0001] This invention relates to the field of unmanned aerial vehicle (UAV) air traffic control technology, specifically to a UAV airport control area delineation system and intelligent switch cabinet based on BeiDou positioning. Background Technology

[0002] In the airspace safety management of unmanned aerial vehicle (UAV) airports, dynamically delineating control zones using BeiDou positioning and combining this with intelligent switchgear for physical control is a key direction for improving traffic control efficiency. However, existing systems have significant shortcomings in precise real-time control. The problem lies in the bottleneck of reliably and with low latency converting updated status information into physical control commands and accurately distributing them to each intelligent switchgear when control zones are dynamically adjusted due to missions or emergencies. Traditional centralized command distribution relying on public wireless networks is prone to command loss, delays, or out-of-order delivery in the complex electromagnetic environment of airports or areas with weak networks. The multi-level processing of commands accumulates delays that are insufficient to meet instantaneous control requirements. When a large number of switchgears receive frequently changing and differentiated commands, inconsistent state synchronization can easily occur, leading to a disconnect between equipment status and control requirements, creating security vulnerabilities or reducing efficiency. Furthermore, when communication is interrupted, the switchgear lacks a local fault-tolerant mechanism to maintain a safe control state.

[0003] The gap in real-time performance and reliability between these control commands and the physical execution layer restricts the effectiveness of the BeiDou positioning-based airspace dynamic management system, preventing advanced area delineation algorithms from being translated into effective traffic control actions. This invention aims to solve the problem of how to enable intelligent switchgear to perform precise physical control in real-time, reliably, and with low latency, based on dynamically updated control area information from BeiDou. Summary of the Invention

[0004] To achieve the above objectives, the present invention is implemented through the following technical solution: a UAV airport control area delineation system and intelligent switch cabinet based on Beidou positioning, including: a central control platform, a distributed intelligent switch cabinet cluster, and a distributed spatiotemporal command fusion system;

[0005] The central control platform dynamically generates a set of geofence rules, including polygon vertex coordinates and control status identifiers, based on BeiDou positioning data.

[0006] Each switch cabinet in the intelligent switch cabinet cluster is connected to at least one physical control device.

[0007] The distributed spatiotemporal command fusion system includes an edge decision module, a dynamic verification module, and a dual-channel command transmission network.

[0008] The edge decision-making module is deployed locally in each smart switch cabinet, the dynamic verification module is connected to the central control platform and the Beidou timing system, and the dual-channel command transmission network is independently connected to the central control platform and the smart switch cabinet cluster.

[0009] Preferably, the edge decision module includes:

[0010] The airspace semantic parsing engine is used to parse the original geofencing rule set issued by the central control platform;

[0011] A local topology mapping library stores the mapping relationship between airport nodes and physical control equipment;

[0012] The spatial semantic parsing engine converts geographic coordinates into operation instructions for associated physical control devices through a local topology mapping library.

[0013] Preferably, the dynamic verification module performs:

[0014] When the central control platform issues a rule set update, a spatiotemporal reference anchor point containing a BeiDou time synchronization timestamp and an encrypted rule set version identifier is generated.

[0015] Before executing operation commands, the intelligent switchgear shall perform the following steps:

[0016] a) Timestamp difference verification: Compare the local BeiDou timestamp with the timestamp of the spatiotemporal reference anchor point;

[0017] b) Distributed version consensus verification: Verify the consistency of the rule set version encryption identifier through a cluster of adjacent edge nodes.

[0018] Preferably, the dual-channel command transmission network includes:

[0019] Main transmission channel: built based on quantum key distribution protocol, sharing transmission frequency band with BeiDou navigation signals;

[0020] Backup transmission channel: Power line carrier transmission of commands via the airport lighting cable network;

[0021] When the main transmission channel continuously loses quantum channel handshake signals, it automatically switches to the backup channel.

[0022] Preferably, the intelligent switchgear deployment behavior pre-simulation sandbox is used for:

[0023] The control effect of simulated operation commands on associated physical control devices;

[0024] By exchanging control area boundary data with adjacent intelligent switch cabinets, conflicts in control logic can be detected.

[0025] When a conflict is detected, instruction negotiation across switchgear is triggered.

[0026] Preferably, the instruction negotiation includes:

[0027] Coordination instructions are generated based on the overlapping range of BeiDou positioning coordinates in the conflict area.

[0028] The execution order is determined based on the priority of the rule set version received by each switchgear.

[0029] Preferably, the physical control equipment includes an electronic fence power controller and a drone landing pad power controller.

[0030] The method for delineating unmanned aerial vehicle (UAV) airport control areas based on BeiDou positioning, employing a UAV airport control area delineation system and intelligent switch cabinet, includes the following steps:

[0031] S1: The central control platform dynamically generates a set of geofencing rules;

[0032] S2: Distribute rule sets to intelligent switch cabinets through a distributed spatiotemporal command fusion system;

[0033] S3: The edge decision module converts the rule set into operation instructions;

[0034] S4: The dynamic verification module completes timestamp difference verification and distributed version consensus verification;

[0035] S5: Transmits verified commands via a dual-channel command transmission network;

[0036] S6: After confirming there are no conflicts in the behavior pre-play sandbox, execute physical control.

[0037] Preferably, the timestamp difference verification specifically involves: when the time difference between the local BeiDou timestamp and the spatiotemporal reference anchor point exceeds a set threshold, starting the backup transmission channel to reacquire the reference anchor point.

[0038] Preferably, the distributed version consensus verification specifically involves: when more than a set proportion of adjacent edge nodes confirm that the version encryption identifier is consistent, the verification is deemed successful.

[0039] This invention provides a system for delineating unmanned aerial vehicle (UAV) airport control areas based on BeiDou positioning and an intelligent switch cabinet. It has the following beneficial effects:

[0040] This BeiDou-based unmanned aerial vehicle (UAV) airport control area delineation system and intelligent switch cabinet, through the collaborative operation of a distributed spatiotemporal command fusion system, realizes the transformation of geofencing rules into physical control commands: the localized rule parsing of the edge decision module eliminates compilation delays at the central end, the spatiotemporal dual verification mechanism ensures the timeliness and authenticity of commands, and the dual-channel transmission network maintains reliable command delivery in complex electromagnetic environments. It solves the problem of control lag caused by network latency, clock out-of-sync, and state asynchrony, enabling the precise implementation of critical control actions such as sudden no-fly orders.

[0041] This BeiDou-based unmanned aerial vehicle (UAV) airport control area delineation system and intelligent switch cabinet, along with its conflict pre-detection and negotiation mechanism using a behavior simulation sandbox, proactively identify control vulnerabilities based on spatial topology. Efficient coordination is achieved through rule version priority adjudication, avoiding security risks of unauthorized prohibitions or unauthorized allowances. Deep collaboration between the intelligent switch cabinet and physical control equipment supports targeted execution and secure interlocking, maximizing available airspace resources while ensuring airspace safety. System-level disaster recovery design ensures uninterrupted critical control functions under extreme conditions, providing a technological foundation for all-weather operation of UAV airports. Attached Figure Description

[0042] Figure 1 This is a schematic diagram of the overall module interaction of the present invention;

[0043] Figure 2 This is a schematic diagram of the process of the present invention. Detailed Implementation

[0044] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0045] Please see Figure 1 and Figure 2 The present invention provides a technical solution: a system for delineating the control area of ​​an unmanned aerial vehicle airport based on Beidou positioning and an intelligent switch cabinet, including: a central control platform, a distributed intelligent switch cabinet cluster, and a distributed spatiotemporal command fusion system;

[0046] The central control platform dynamically generates a set of geofencing rules, which includes polygon vertex coordinates and control status identifiers, based on BeiDou positioning data;

[0047] Each switchgear in the intelligent switchgear cluster is connected to at least one physical control device;

[0048] The distributed spatiotemporal command fusion system includes an edge decision module, a dynamic verification module, and a dual-channel command transmission network;

[0049] The edge decision-making module is deployed locally in each smart switch cabinet, the dynamic verification module is connected to the central control platform and the Beidou timing system, and the dual-channel command transmission network is independently connected to the central control platform and the smart switch cabinet cluster.

[0050] It should be further explained that, in the specific implementation process, the central control platform receives BeiDou positioning data in real time and dynamically generates a geofencing rule set containing polygon vertex coordinates and status indicators such as no-fly zones and height restrictions. The rule set is distributed to the intelligent switchgear cluster through a distributed spatiotemporal command fusion system. The edge decision module of this system is deployed locally in each switchgear. When it receives the original rule set, its spatial semantic parsing engine calls the pre-built local topology mapping library to directly map the geographic coordinates into operation instructions for the associated physical control equipment, eliminating the traditional central-end command compilation step.

[0051] The dynamic verification module synchronously generates a spatiotemporal reference anchor point containing a BeiDou time stamp and a rule set version encryption identifier when the rule set is updated. Before the switch cabinet executes operation instructions, it needs to complete two levels of verification: First, it compares the local BeiDou timestamp with the anchor point timestamp. If the difference exceeds a preset threshold, it starts a backup channel to reacquire data. Second, it performs distributed version consensus verification through adjacent edge node clusters. It is determined to pass when more than a set proportion of nodes confirm that the version identifier is consistent.

[0052] The main channel of the dual-channel command transmission network uses quantum key distribution transmission with the same frequency as the BeiDou signal. If the loss of continuous quantum handshake signals is detected, it will automatically switch to the backup channel transmitted via power line carrier through airport lighting cables.

[0053] The behavior simulation sandbox simulates the control effect before the instruction is executed. If a boundary overlap conflict is detected with the control area of ​​the adjacent switch cabinet, P2P negotiation is initiated based on the overlapping range of Beidou coordinates, and the execution sequence is determined according to the priority of the rule set version.

[0054] Ultimately, the verified commands drive the electronic fence power controller or the helipad power controller to perform physical actions, achieving precise and synchronous switching of airspace status.

[0055] The edge decision module includes:

[0056] The airspace semantic parsing engine is used to parse the original geofencing rule set issued by the central control platform;

[0057] A local topology mapping library stores the mapping relationship between airport nodes and physical control equipment;

[0058] The airspace semantic parsing engine converts geographic coordinates into operation commands for associated physical control devices through a local topology mapping library.

[0059] It should be further explained that, in the specific implementation process, the intelligent switch cabinet receives the original geofence rule set issued by the central control platform, which includes polygonal no-fly zone vertex data and status identifiers defined by BeiDou coordinates. The locally deployed airspace semantic parsing engine directly parses this rule set and synchronously calls the airport node configuration data pre-stored in the local topology mapping library; the mapping library has a fixed binding relationship between key airport locations and physical control equipment, wherein the key airport locations include runway ends and the area around the control tower, and the physical control equipment includes electronic fence posts A1-A5 and apron charging piles B1-B3.

[0060] When the engine detects a spatial overlap between the vertex coordinates of a polygonal region and the control area of ​​electronic fence post #3 in the mapping library, it automatically generates an operation command to "cut off power to post #3". If it detects an overlap between the coordinate set and the authorized helipad area and the status is "flyable", it generates a command to "activate power to B2 charging station". This conversion process is completed entirely locally, without waiting for pre-compiled commands from the central terminal.

[0061] For dynamically updated rule sets, the engine only parses the incrementally changed parts by comparing version numbers: when the coordinate offset of a certain area in the new rule exceeds the set threshold, the control logic of the associated device is recalculated; if only the status identifier changes, the existing coordinate mapping result is directly reused.

[0062] The local topology mapping library supports a hot update mechanism. When new physical control equipment is added to the airport, the mapping relationship between the coordinates of the new node and the device ID is injected through the configuration package authenticated by the security certificate, ensuring scalability.

[0063] Dynamic verification module execution:

[0064] When the central control platform issues a rule set update, a spatiotemporal reference anchor point containing a BeiDou time synchronization timestamp and an encrypted rule set version identifier is generated.

[0065] Before executing operation commands, the intelligent switchgear shall perform the following steps:

[0066] a) Timestamp difference verification: Compare the local BeiDou timestamp with the timestamp of the spatiotemporal reference anchor point;

[0067] b) Distributed version consensus verification: Verify the consistency of the rule set version encryption identifier through a cluster of adjacent edge nodes.

[0068] It should be further explained that, in the specific implementation process, when the central control platform issues an updated set of geofence rules, the dynamic verification module simultaneously generates a spatiotemporal reference anchor point. This anchor point contains a precise timestamp provided by the BeiDou time service system and a version encryption identifier calculated based on the content of the rule set.

[0069] Before executing locally generated equipment operation commands, the intelligent switch cabinet first initiates timestamp difference verification: it reads the time data of the local Beidou module and compares it with the timestamp in the anchor point. If the difference between the two exceeds a preset threshold of 50 milliseconds, it determines that the clock is out of sync and immediately requests the central platform to resend the reference anchor point through the backup transmission channel.

[0070] After passing the time verification, the distributed version consensus verification is triggered: the rule set version encryption identifier is broadcast to the three adjacent edge computing nodes, and the node cluster uses the majority decision principle to verify. When more than two-thirds of the nodes confirm the feedback, the version is determined to be consistent; if the confirmation ratio is not reached or a version conflict is detected, the execution of the freeze command is frozen and reported to the central platform for arbitration.

[0071] In environments with strong electromagnetic interference, when the main channel is interrupted due to the loss of three consecutive quantum handshake signals, the dynamic verification module automatically switches the version identifier verification request to the power line carrier backup channel for transmission. For time-sensitive instructions, if the consensus verification takes more than 200 milliseconds, a fast channel is activated, which only needs to obtain confirmation from the adjacent master node to be executed first. Among these time-sensitive instructions, emergency no-fly zones are included.

[0072] The dual-channel command transmission network includes:

[0073] Main transmission channel: built based on quantum key distribution protocol, sharing transmission frequency band with BeiDou navigation signals;

[0074] Backup transmission channel: Power line carrier transmission of commands via the airport lighting cable network;

[0075] When the main transmission channel continuously loses quantum channel handshake signals, it automatically switches to the backup channel.

[0076] It should be further explained that, in the specific implementation process, the main transmission channel is constructed using a quantum key distribution protocol, and its carrier frequency overlaps with the BeiDou navigation signal frequency band, sharing the wireless channel through time-division multiplexing. When the central control platform issues a verified instruction, the quantum encryption module divides the operation instruction into fixed-length data packets, attaching a verification code generated by the quantum key to each data packet, and transmitting them via an antenna array at the same frequency as the BeiDou signal. The quantum receiver at the intelligent switch cabinet continuously monitors the channel status: if no quantum handshake response signal is received for three consecutive data packets, the main channel is determined to be interrupted; at this time, the channel switching controller immediately activates the backup transmission channel, modulates the instruction to be transmitted into a power line carrier signal of a specific frequency, and injects it into the neutral-live wire loop of the airport lighting cable. The power line carrier demodulator detects the signal characteristics in the cable loop at the switch cabinet end, and when it identifies that the carrier frequency matches the preset emergency channel, it automatically demodulates and restores the instruction data. In the case of a momentary interruption of the main channel due to electromagnetic interference, if the quantum handshake signal is restored within 1 second, the switching is canceled; if the main channel interruption exceeds 5 seconds, the data packet continuation mechanism is activated, and the data is retransmitted through the backup channel starting from the sequence number of the last lost instruction packet. During backup channel transmission, the dynamic verification module increases the retransmission frequency of the spatiotemporal reference anchor point to twice per second to ensure clock synchronization accuracy.

[0077] The intelligent switchgear deployment behavior simulation sandbox is used for:

[0078] The control effect of simulated operation commands on associated physical control devices;

[0079] By exchanging control area boundary data with adjacent intelligent switch cabinets, conflicts in control logic can be detected.

[0080] When a conflict is detected, instruction negotiation across switchgear is triggered.

[0081] It should be further explained that, in the specific implementation process, before the intelligent switchgear executes physical control commands, the behavior pre-simulation sandbox loads locally generated operation commands and associated BeiDou coordinate boundary data of the electronic fence to simulate the changes in the controlled area after the designated equipment is turned on or off. The sandbox simultaneously requests the boundary datasets of the commands to be executed from adjacent switchgears, and detects logical conflicts by comparing whether the overlapping area of ​​the coordinate polygons exceeds a set threshold: if a spatial overlap between the no-fly zone and the authorized channel is detected, it is marked as a "control failure" conflict; if a gap is formed between the no-fly zones of two adjacent switchgears, it is marked as a "control loophole" conflict.

[0082] When the number of conflict markers exceeds the maximum allowed for a single update, the sandbox automatically triggers a negotiation protocol, encapsulating the BeiDou vertex coordinates of the conflict area and the rule set version numbers of both parties into a coordination request packet. This request is directly connected to the sandbox module of the target switchgear via a P2P channel. Both parties negotiate a solution based on version priority rules: higher version rule sets have execution priority; if the versions are the same, the timestamps are compared; the priority party maintains the original instructions, while the non-priority party recalculates the equipment control logic. For rule sets that require urgent updates, such as sudden no-fly orders, the sandbox automatically executes high-priority instructions and records alarms if the negotiation timeout fails, ensuring that critical control actions are not delayed.

[0083] Instruction negotiation includes:

[0084] Coordination instructions are generated based on the overlapping range of BeiDou positioning coordinates in the conflict area.

[0085] The execution order is determined based on the priority of the rule set version received by each switchgear.

[0086] It should be further explained that, in the specific implementation process, when the behavior pre-simulation sandbox detects a conflict at the control boundary, it extracts the BeiDou vertex coordinate sequence of the conflict area and calculates the centroid position of the overlapping polygon. A coordination command scope with a radius of 200 meters is generated using this as the center. A coordination request packet is broadcast to all associated smart switch cabinets within the scope, containing the conflicting party's rule set version number, timestamp, and hash value of the overlapping area coordinates. The sandbox module of the receiving switch cabinet first checks the version priority: if the local rule set version is higher than the requester's, it replies with a confirmation signal to maintain the original command; if the versions are the same but the local timestamp is updated, it sends a coordinate correction suggestion.

[0087] After collecting all responses, the requesting party executes a multi-level arbitration: if a higher version response exists, its instructions are automatically adopted; if all responses are of the same version, the correction scheme with the latest timestamp is selected; if the difference in timestamps between the parties is less than the tolerance threshold, arbitration is triggered on the central control platform.

[0088] In special scenarios such as power supply conflicts on authorized helipads, when the overlapping area is detected to contain charging pile coordinates, the power supply command is forcibly prioritized and a temporary no-fly zone is added in the surrounding area. After negotiation, the non-priority switchgear re-invokes the edge decision module, generates new equipment operation commands based on the coordination results, and performs a pre-rehearsal verification again until the conflict is resolved.

[0089] The physical control equipment includes an electronic fence power controller and a drone landing pad power controller. It should be further explained that, in the specific implementation process, the electronic fence power controller is deployed at key nodes along the airport perimeter. After receiving on / off commands from the intelligent switch cabinet, it drives the high-voltage pulse generator or directional radio frequency jammer to start and stop, forming a physical no-fly barrier. When the rule set requires activation of a certain polygonal no-fly zone, the controller, based on the BeiDou positioning data of the boundary coordinates, precisely controls the power sequence of the corresponding grid unit to achieve targeted area blockade.

[0090] The power supply controller for drone landing pads is embedded in the authorized landing pad infrastructure. It controls the on / off state and power level of the charging pile output through the power supply command of the intelligent switch cabinet. If the sandbox simulation detects that the coordinates of the landing pad and the newly added no-fly zone overlap, the power supply controller will automatically enter a safety interlock state and refuse to execute the charging command until the conflict is resolved.

[0091] Two types of controllers provide real-time feedback on the execution status to the switchgear: the electronic fence controller uploads current fluctuations and fault codes, while the power supply controller sends back voltage curves and drone docking signals. When the dynamic verification module detects an abnormality in the controller feedback, it immediately freezes subsequent commands and triggers an alarm; if the electronic fence controller continuously reports power failure and the backup channel transmission is normal, it automatically switches to the nearest redundant controller to take over, ensuring the continuity of control over critical areas.

[0092] The method for delineating unmanned aerial vehicle (UAV) airport control areas based on BeiDou positioning, employing a UAV airport control area delineation system and intelligent switch cabinet, includes the following steps:

[0093] S1: The central control platform dynamically generates a set of geofencing rules;

[0094] S2: Distribute rule sets to intelligent switch cabinets through a distributed spatiotemporal command fusion system;

[0095] S3: The edge decision module converts the rule set into operation instructions;

[0096] S4: The dynamic verification module completes timestamp difference verification and distributed version consensus verification;

[0097] S5: Transmits verified commands via a dual-channel command transmission network;

[0098] S6: After confirming there are no conflicts in the behavior pre-play sandbox, execute physical control.

[0099] It should be further explained that, in the specific implementation process, the central control platform integrates BeiDou positioning data with airspace control strategies to dynamically generate a set of geofencing rules containing polygon vertex coordinates and status identifiers. This set of rules is then distributed to the target intelligent switchgear via a distributed spatiotemporal command fusion system. The switchgear's local edge decision module parses the original rule set and calls a pre-stored topology mapping library to convert the BeiDou coordinates into operation commands for associated devices: if the rule set defines a no-fly zone covering the coordinate range of electronic fence post #3, a power-off command is generated; if the authorized helipad coordinate set overlaps with the rules and the status is flyable, a power-on command is output.

[0100] The dynamic verification module initiates two-level verification: first, it compares the local BeiDou timestamp with the time difference of the reference anchor point attached to the rule set; if the difference exceeds the threshold, it switches to the backup channel for retransmission; then, it verifies the consistency of the version encryption identifier through the adjacent node cluster; if the consensus ratio is not reached, it freezes the execution.

[0101] Verified commands are transmitted via a dual-channel network: the main channel uses quantum-encrypted, same-frequency BeiDou signal transmission; if consecutive handshakes fail, a backup power line carrier channel is switched on. A behavior simulation sandbox loads commands to simulate execution effects. When overlap or gaps are detected with the control boundaries of adjacent switchgear, P2P negotiation is initiated based on the BeiDou coordinates of the conflict area, and the execution sequence is determined according to the rule version priority. Ultimately, this drives the electronic fence power controller to execute targeted power outages, or controls the helipad power controller to output power according to the commands, achieving precise synchronization between airspace status and physical equipment.

[0102] The timestamp difference verification specifically involves the following steps: When the time difference between the local BeiDou timestamp and the spatiotemporal reference anchor point exceeds a set threshold, a backup transmission channel is activated to reacquire the reference anchor point. It should be further explained that during implementation, when the intelligent switchgear performs timestamp difference verification, it reads the precise time data from the local BeiDou time synchronization module in real time and compares it with the BeiDou timestamp embedded in the spatiotemporal reference anchor point issued by the central control platform. If the local time is earlier than the anchor point timestamp and the difference exceeds the preset clock synchronization threshold of 50 milliseconds, it is determined to be clock lag, and the backup transmission channel is automatically activated to initiate a reference anchor point retransmission request to the central platform. If the local time is later than the anchor point timestamp and the difference exceeds the threshold, it is determined to be clock ahead, and the current instruction execution chain is immediately frozen and a local clock calibration procedure is initiated.

[0103] After a retransmission request is sent, a countdown monitoring window is initiated: if no new anchor point is received within the window period, the request is repeated at set intervals until the maximum number of retries is reached; if a new anchor point is received within the window period, the timestamp comparison is performed again, and the subsequent verification process is allowed only when the difference narrows to within the threshold range. For persistent clock drift caused by strong electromagnetic interference, when the cumulative retransmission requests exceed the limit in a single rule update, a system-level clock synchronization alarm is triggered, and the clock reference of the adjacent switchgear is switched for temporary verification to ensure that critical no-fly instructions are not missed.

[0104] The distributed version consensus verification process is as follows: verification is considered successful when more than a set proportion of adjacent edge nodes confirm that the version encryption identifier is consistent. It should be further explained that during implementation, when distributed version consensus verification is initiated, the smart switch cabinet broadcasts a rule set version encryption identifier verification request to a preset number of adjacent edge nodes. Each receiving node first verifies the validity of the requester's identity certificate. After confirming its validity, it compares the version encryption identifier stored locally: if they match perfectly, it replies with a confirmation signal; if there are differences but the different version is in the local cache, it appends the hash value of the different version in its reply; if it is an unknown version, it returns a verification failure. After collecting all responses, the initiator executes a hierarchical decision: when the number of confirmation signals reaches a set proportion, i.e., more than two-thirds of the nodes, verification is immediately passed; if the number of confirmations is insufficient but the proportion of different version replies is dominant, a secondary verification request is initiated to the source node of the different version; when the number of verification failure replies exceeds the fault tolerance threshold, the verification is terminated and reported to the central platform.

[0105] For emergency command verification scenarios, the required confirmation ratio is automatically reduced to a specific number, while the response timeout window is compressed to one-third of the original duration. In the event of strong interference causing node disconnection, unresponsive nodes are automatically excluded and the confirmation ratio is recalculated; if the remaining valid nodes are insufficient to meet the minimum cluster size, the command is executed in the central platform's forced authorization mode to ensure system availability under extreme conditions.

[0106] The dynamic proportional recalibration mechanism adjusts the set ratio in real time according to the network quality index, including: maintaining the standard ratio for high signal strength; increasing the ratio to compensate for packet loss rate for medium signal fluctuations; and activating the emergency command ratio for low signal environments, thus avoiding the risk of fixed ratio failure in complex environments.

[0107] The version conflict tracing tree includes the following process when a difference version response is triggered: First, a secondary verification is initiated, then it is determined whether the difference version is valid. If the difference version is valid, its source node is marked as a trusted update source; if the difference version is invalid, the abnormal node is isolated.

[0108] The downgraded authorization security sandbox includes: when the central forced authorization mode is executed, the scope of operable devices is restricted, temporary permissions are automatically cleared after execution, and an unalterable security audit log is generated to ensure that the downgrade mode does not compromise the system security boundary.

[0109] It should be further explained that the central control platform continuously receives spatial coordinate data provided by the BeiDou satellite positioning system and generates a dynamic geofence rule set by combining it with air traffic control strategies. This rule set contains polygonal geographic boundary data composed of latitude and longitude point sequences and their corresponding control status identifiers. The rule set is distributed to the intelligent switch cabinet cluster through a distributed spatiotemporal command fusion system. Each intelligent switch cabinet is equipped with an edge decision module, which has a built-in airspace semantic parsing engine and a local topology mapping library. The engine directly reads the polygon vertex coordinates from the original rule set and, based on the airport facility location information pre-stored in the mapping library, converts the geographic coordinates into operation commands for specific physical equipment. For example, when the no-fly zone polygon covers the coordinate range of electronic fence post number three, the engine generates a command to cut off the power to that post; if the authorized parking apron area defined by the rule set coincides with the local parking apron coordinates and is in a flyable state, then a command to activate the corresponding charging pile is output.

[0110] The dynamic verification module synchronously creates a spatiotemporal reference anchor point when the rule set is updated. This anchor point integrates precise time data provided by the BeiDou time service system with the cryptographic digest value of the rule set content. Before executing instructions, the intelligent switch cabinet initiates a two-level verification process: first, it obtains the local BeiDou clock reading and compares it with the anchor point timestamp. If the difference exceeds a set threshold, the clock is determined to be out of sync, and the anchor point is immediately requested to be reissued through the backup transmission channel. After the time verification is successful, it enters the distributed version consensus stage, broadcasting the rule set digest value to adjacent edge nodes to request verification. The node cluster responds using a majority decision mechanism, and version consistency is determined when the number of confirmed feedbacks reaches a preset proportion. If network interference causes continuous handshake failures on the main quantum transmission channel, the system automatically switches to the backup channel transmitted via airport lighting cable power line carrier.

[0111] Before physical execution, the behavioral simulation sandbox loads the dataset of the instructions to be executed and the coordinate boundaries of associated equipment, simulating the changes in the controlled area state after the instructions take effect. The sandbox actively exchanges boundary data with adjacent switchgear and detects potential conflicts through geometric topology analysis. When spatial overlap between a no-fly zone and an authorized passage is detected, it is marked as a control failure conflict; if a gap forms between the boundaries of adjacent no-fly zones, it is marked as a control vulnerability. When the number of conflicts exceeds the allowable value, the sandbox extracts the core coordinates of the conflict area to generate a coordination request packet, which is sent to the relevant switchgear through a point-to-point channel. The coordination process determines the execution order based on the rule set version priority, with higher version instructions having absolute priority; if the versions are the same, the latest timestamp scheme is adopted. Emergency no-fly instructions are automatically enforced if the negotiation timeout occurs.

[0112] After receiving the final command, the electronic fence power controller drives the power supply of specific grid units to start and stop according to the polygon coordinates of the no-fly zone, achieving targeted spatial blocking. The UAV landing pad power supply controller responds synchronously to the command. When the sandbox simulation detects that the landing pad coordinates overlap with the newly added no-fly zone, it automatically enters a safety lock state until the conflict is resolved. All controllers provide real-time feedback of operating parameters such as current and voltage to the intelligent switch cabinet. The dynamic verification module continuously monitors the feedback data, and in case of abnormalities, immediately freezes the command chain and activates redundant control equipment to take over.

[0113] The spatiotemporal reference anchor retransmission mechanism employs an intelligent flow control strategy: when the clock out-of-synchronization exceeds the limit, an anchor retransmission request is initiated; if the response times out, the retransmission is repeated at incremental intervals until the maximum number of retransmissions is reached. When strong electromagnetic interference causes continuous clock anomalies, the system automatically switches to the clock reference of a nearby node for temporary verification. Distributed consensus verification utilizes a flexible decision-making mechanism: in normal scenarios, a standard confirmation ratio must be achieved; for urgent instructions, the confirmation ratio and time limit are compressed; when a node becomes disconnected, the faulty node is automatically excluded and the ratio is recalculated; if the number of effective nodes is less than the minimum required, the system degrades to the central platform's authorized mode to execute critical instructions.

[0114] Through the collaborative operation of a distributed spatiotemporal command fusion system, the transformation from geofencing rules to physical control commands is achieved: localized rule parsing in the edge decision module eliminates compilation delays at the central end, a spatiotemporal dual verification mechanism ensures the timeliness and authenticity of commands, and a dual-channel transmission network maintains reliable command delivery in complex electromagnetic environments. This solves the problem of control lag caused by network latency, clock out-of-sync, and state asynchrony, enabling the precise implementation of critical control actions such as sudden no-fly orders.

[0115] The conflict pre-detection and negotiation mechanism of the behavioral simulation sandbox proactively identifies and manages vulnerabilities based on spatial topology relationships, and achieves efficient coordination through rule version priority adjudication, avoiding security risks of failing to prohibit or allow what should be prohibited. Deep collaboration between intelligent switchgear and physical control equipment supports targeted execution and secure interlocking, maximizing available airspace resources while ensuring airspace security. System-level disaster recovery design ensures uninterrupted critical control functions under extreme conditions, providing a technological foundation for the 24 / 7 operation of UAV airports.

[0116] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0117] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A system for delineating unmanned aerial vehicle (UAV) airport control areas based on BeiDou positioning, characterized in that: include: Centralized control platform, distributed intelligent switchgear clusters, and distributed spatiotemporal command fusion system; The central control platform dynamically generates a set of geofence rules, including polygon vertex coordinates and control status identifiers, based on BeiDou positioning data. Each switch cabinet in the intelligent switch cabinet cluster is connected to at least one physical control device. The distributed spatiotemporal command fusion system includes an edge decision module, a dynamic verification module, and a dual-channel command transmission network. The edge decision-making module is deployed locally in each smart switch cabinet, the dynamic verification module is connected to the central control platform and the Beidou timing system, and the dual-channel command transmission network is independently connected to the central control platform and the smart switch cabinet cluster. The edge decision module includes: The airspace semantic parsing engine is used to parse the original geofencing rule set issued by the central control platform; A local topology mapping library stores the mapping relationship between airport nodes and physical control equipment; The spatial semantic parsing engine converts geographic coordinates into operation commands for associated physical control devices through a local topology mapping library. The dynamic verification module performs the following: When the central control platform issues a rule set update, a spatiotemporal reference anchor point containing a BeiDou time synchronization timestamp and an encrypted rule set version identifier is generated. Before executing operation commands, the intelligent switchgear shall perform the following steps: a) Timestamp difference verification: Compare the local BeiDou timestamp with the timestamp of the spatiotemporal reference anchor point; b) Distributed version consensus verification: Verify the consistency of the rule set version encryption identifier through a cluster of adjacent edge nodes; The dual-channel command transmission network includes: Main transmission channel: built based on quantum key distribution protocol, sharing transmission frequency band with BeiDou navigation signals; Backup transmission channel: Power line carrier transmission of commands via the airport lighting cable network; When the main transmission channel continuously loses quantum channel handshake signals, it automatically switches to the backup channel; The intelligent switchgear deployment behavior pre-simulation sandbox is used for: The control effect of simulated operation commands on associated physical control devices; By exchanging control area boundary data with adjacent intelligent switch cabinets, conflicts in control logic can be detected. When a conflict is detected, instruction negotiation across switchgear is triggered.

2. The UAV airport control area delineation system based on BeiDou positioning according to claim 1, characterized in that: The instruction negotiation includes: Coordination instructions are generated based on the overlapping range of BeiDou positioning coordinates in the conflict area. The execution order is determined based on the priority of the rule set version received by each switchgear.

3. The UAV airport control area delineation system based on BeiDou positioning according to claim 1, characterized in that: The physical control equipment includes an electronic fence power controller and a drone landing pad power controller.

4. A method for delineating unmanned aerial vehicle (UAV) airport control areas based on BeiDou positioning, characterized in that: The system of any one of claims 1-3 comprises the following steps: S1: The central control platform dynamically generates a set of geofencing rules; S2: Distribute rule sets to intelligent switch cabinets through a distributed spatiotemporal command fusion system; S3: The edge decision module converts the rule set into operation instructions; S4: The dynamic verification module completes timestamp difference verification and distributed version consensus verification; S5: Transmits verified commands via a dual-channel command transmission network; S6: After confirming there are no conflicts in the behavior pre-play sandbox, execute physical control.

5. The method for delineating unmanned aerial vehicle (UAV) airport control areas based on BeiDou positioning according to claim 4, characterized in that: The timestamp difference verification specifically involves: when the time difference between the local BeiDou timestamp and the spatiotemporal reference anchor point exceeds a set threshold, the backup transmission channel is activated to reacquire the reference anchor point.

6. The method for delineating unmanned aerial vehicle (UAV) airport control areas based on BeiDou positioning according to claim 5, characterized in that: The distributed version consensus verification is specifically defined as follows: when more than a set proportion of adjacent edge nodes confirm that the version encryption identifier is consistent, the verification is deemed successful.

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