60 results about "Topology control" patented technology

A dynamic grid allocation system for power distribution in the development of integrated circuits in the sub-five-nanometer range, wherein the system comprises the following: a placement processor unit configured to receive a synthesized netlist comprising a variety of standard cells and macros, each associated with switching activity data derived from simulation or synthesis activity profiles, and to generate a spatial cell placement arrangement by grouping cells into microzones based on activity correlation, time sensitivity, and connection proximity; a power density calculation unit coupled to the placement processor unit and configured to calculate the local power density and instantaneous current demand for each microzone based on the spatial distribution of switching operations, capacity load, and effective switching frequencies; a dynamic network generation unit coupled to the power density calculation unit and configured to generate a multilayer power distribution network with variable network topology, where the width, spacing, via density and metal layer assignment of the power network are adaptively determined as continuous functions of the localized power density and power demand calculated for each microzone; a topology control processor configured to monitor voltage drop and electromigration data obtained from signoff analyses or predictive models in real time and dynamically adjust the power grid topology parameters to ensure compliance with predefined reliability thresholds for voltage drop and electromigration; a predictive current modeling unit configured to receive historical switching and voltage data, train a predictive model for transient current peaks, and provide predictive power boost instructions to the dynamic grid generation unit before power integrity violations occur; and A feedback synchronization controller is communicatively connected to the placement processor unit and the topology control processor, whereby the feedback synchronization controller continuously exchanges updated power density information and placement constraints, so that cell placement and network topology adapt together in real time, thereby minimizing routing congestion, ensuring a uniform voltage distribution, and guaranteeing compliance with electromigration and IR drop regulations under various activity conditions.

The invention provides a self-adjusting dialogue type multi-agent system and interaction method based on dynamic topology, and the system comprises a scheduling module which is used for receiving user input and routing a task to a corresponding field task agent in a conventional state; the domain task intelligent agents are used for processing the received tasks, evaluating the cognitive states in real time and sending out assistance signals when the cognitive states meet preset conditions; the shared knowledge management module is used for maintaining a dynamically updated distributed semantic knowledge graph; wherein the distributed semantic knowledge graph is used for sharing, associating and persisting structured knowledge entities and context information generated in the session process among all modules in real time; the topology control module is used for dynamically switching the communication control topology of the system from a first topology structure to a second topology structure in response to the received assistance signal; and when the assistance signal is eliminated, the communication control topology is recovered from the second topology structure to the first topology structure.

The invention relates to the technical field of wireless communication testing, and discloses an automatic detection and evaluation method and system for the radio frequency performance limit of multi-antenna wireless equipment, and the method comprises the steps: defining a target port and an interference port for multi-port equipment, constructing an automatic detection topology through a program-controlled radio frequency switch matrix, and carrying out the automatic detection of the radio frequency performance limit of the multi-antenna wireless equipment; and controlling the equipment to enter a full-port synchronous concurrent transmission state with a high duty ratio. In this state, power search is performed on the target port to lock the initial limit power point, and further multi-dimensional evaluation including thermal steady state drift analysis and environmental isolation verification based on a silent window is performed to confirm an effective limit power value. And traversing all ports by the system, repeating the steps, summarizing data, and calculating the consistency range and the rated power of the whole machine. According to the invention, through physical reproduction, heating accumulation and electromagnetic crosstalk environment, accurate evaluation of radio frequency performance of equipment under extreme working conditions and automatic attribution of a thermal failure mechanism are realized.

The invention discloses a power distribution network-micro-grid collaborative dual-time scale scheduling method in combination with topological optimization. According to the method, a long-time-scale scheduling period is set at the hierarchy of the power distribution network, a scheduling model combining topology reconstruction and active optimization is adopted, and unified regulation and control of global operation characteristics such as grid power flow, line heavy load and node voltage are achieved; an ultra-short time scale real-time scheduling period is set in a micro-grid level, and new energy fluctuation is rapidly tracked and compensated based on rapid adjustable resources; and through a multi-level information interaction mechanism, power distribution network scheduling constraint downloading and micro-grid feedback uploading are realized, and friendly interaction and cooperative operation between the power distribution network and the micro-grid are realized. According to the method, the flexibility and the new energy consumption capability of the power distribution system are remarkably improved through a topology flexible regulation and control means, meanwhile, the rapid response capability of the system to the time-varying uncertainty is enhanced through a double-level scheduling mode, the operation loss and the safety risk of the power distribution network are reduced, and the method has good engineering application value.

This invention relates to the field of industrial automation control technology, specifically to an automatic control system for a multi-station collaborative surface treatment equipment, comprising a process gene mapping module, a predictive trajectory interlock module, and a bus closed-loop feedback module. This invention constructs a process topology control chain, utilizes a virtual control entity and a global resource occupancy table for advance simulation on the control system clock axis, triggers a hardware / software interlock mechanism and generates a spatiotemporal decoupling control signal when occupancy conflicts are identified; and uses the bus closed-loop feedback module to verify the spatial consistency between the measured feedback vector and the virtual control entity, triggering emergency stop protection and forcibly reconstructing the control signal when the deviation exceeds the virtual-real mapping residual limit. This invention achieves global asynchronous parallel scheduling and closed-loop safety control of multiple tasks on the production line, effectively solving the problems of low collaborative efficiency and equipment resource deadlock.

The application discloses a chip bottom layer topology control method and system based on discrete space-time dual mapping, and belongs to the technical field of integrated circuit bottom layer intelligent control. In view of the bottom layer defects of traditional chip hardware and information being split, relying on external driving, architecture being solidified, scheduling being redundant, and lacking self-adaptive evolution capability, the application is based on the original TPS-CCC discrete space-time information-physical dual theory, constructs a three-dimensional topological dual mapping system, establishes hardware native topological evolution driving logic, and realizes chip computing power autonomous scheduling, hardware self-adaptive reconstruction, error self-healing correction and dynamic power consumption optimization. The application overturns the software passive control paradigm of the traditional chip, creates the next-generation chip bottom layer general paradigm of hardware-level autonomous intelligent control, has extremely high bottom layer theoretical barriers and full-coverage protection range, can be adapted to all types of high-end semiconductor chips, and has extremely strong industry monopoly and industrialization value.

The invention relates to the technical field of heat pump systems, and discloses a transcritical cycle-based heat pump waste heat recovery system, which comprises a compression module, a heat exchange scheduling module, a phase state separation module, a flow control module, a heat absorption module and a flow path topology control module, according to exhaust pressure and exhaust temperature parameters of a compression module, rehearsing a candidate communication state to generate a target communication feature set, calculating a configuration transition deviation value of the target communication feature set relative to a current communication feature set, determining a physical switching constraint weight and introducing thermodynamic efficiency evaluation logic, and when an evaluation result meets a migration criterion, determining a physical switching constraint weight; according to the method, the physical deviation cost of flow path configuration transition is quantified, dynamic matching of a refrigerant heat release track and a heat source side temperature gradient field is achieved, the problem of heat transfer temperature difference distortion is solved, and disordered oscillation of a physical flow path is restrained.

An embodiment causes inserting, into kernel code of an operating system, during execution of the operating system, a traffic monitoring code module. An embodiment extracts, using the traffic monitoring code module, from a plurality of messages between components of a cluster management system managing a first cluster of systems, a first message relating to a resource object, the resource object representing a resource within the first cluster of systems, the traffic monitoring code module triggered by receipt of each of the plurality of messages at a socket of the kernel code. An embodiment constructs, using the first message, a controller-resource object topology, the controller-resource object topology identifying a relationship between the resource object and a controller associated with the resource object.

The invention discloses a charging pile system and a power distribution method and system. The system comprises a charging module array, a power distribution network, a switch matrix and a charging gun. The method comprises the steps of collecting module power, charging gun requirements, switch states and bus loads in real time; constructing a topology model reflecting physical connection, and solving connection topology covering requirements by taking minimization of the use cost of a switching device as a target; an optimization model is constructed based on the topology, and a power distribution scheme is solved with the purposes of meeting the charging requirement and reducing the system loss; and finally, controlling on-off of a switch according to the connection topology, and setting module output according to a power distribution scheme. Through a step-by-step optimization strategy, the problems of physical connection and energy flow are solved successively, dynamic response to variable charging requirements is realized, and resource waste caused by a fixed connection mode is avoided.

The application discloses a kind of high reliability and flexibility routing methods for strong confrontation self-organizing network, mainly solve the problem of low business delivery rate and slow routing convergence speed in strong confrontation scene using traditional routing algorithm.The implementation scheme is divided into topology control and routing two parts:Among them, routing includes: using the node information obtained by topology control to complete the routing discovery process, and constructing the whole network routing table;Through routing-topology joint, periodic and active two ways are used to jointly maintain the whole network routing table.Topology control includes:1) constructing the network topology structure of bidirectional link;2) maintaining one-hop routing table according to logical neighbor list;3) repeating 1)-2) until the network stops running.The application can maintain high end-to-end business delivery rate in strong confrontation scene, quickly complete the routing discovery process, improve the routing convergence speed, improve the stability and reliability of path, and can be used for mobile self-organizing network business data transmission.

The application discloses a kind of based on topological control and MPR selection optimization's heterogeneous self-organizing network OLSR protocol implementation method, this method is first by calculating link quality factor LF and is clustered, to form stable cluster structure.Subsequently, using AOW clustering algorithm, according to the node's various factors Selection suitable node assumes cluster head, reduces the frequency and related overhead of cluster head replacement.In addition, to ensure the connectivity between each cluster and form a complete network topology, based on the design concept of cross-layer routing, introduce the multi-frequency clustering inter-cluster connection algorithm based on TDMA protocol.Through continuous maintenance topological routing.Introduce a link stability factor based on laser transceiver device scanning angle, to optimize MPR selection mechanism.Has been realized in EXata network simulation environment, and is verified by experiment.The optimized protocol of the application is more excellent in the environment of high transmission rate requirement, high mobility and atmospheric attenuation, effectively improves the performance and reliability of network.

This application provides a self-regulating dialogic multi-agent system and interaction method based on dynamic topology. The system includes: a scheduling module, used to receive user input and route tasks to corresponding domain task agents under normal conditions; several domain task agents, used to process the received tasks and evaluate the cognitive state in real time, and issue assistance signals when the cognitive state meets preset conditions; a shared knowledge management module, used to maintain a dynamically updated distributed semantic knowledge graph; wherein, the distributed semantic knowledge graph is used to share, associate and persist the structured knowledge entities and context information generated during the conversation in real time among all modules; and a topology control module, used to dynamically switch the communication control topology of the system from a first topology to a second topology in response to the received assistance signal; and to restore the communication control topology from the second topology to the first topology when the assistance signal is eliminated.

The application provides a new energy grid-connected topology based on a resolver, a control system and a method, which comprise an inverter (1), a resolver (2) and a grid-connected switch (3), wherein the AC side wiring terminal of the inverter (1) is led out from the three-phase bridge arm midpoint to be connected to the primary side three-phase wiring terminal of the resolver (2); the primary side wiring terminal of the resolver (2) is connected to the inverter (1), and the secondary side wiring terminal is connected to the grid-connected switch (3); and the grid-connected switch (2) is connected in series between the resolver (2) and the power grid. The technical problems of poor electromagnetic oscillation suppression effect, lack of inertia support, difficult grid-connected system design, low power system operation safety, high technology use cost and small short-circuit current during short-circuit fault of the existing new energy grid-connected technology are solved.

This invention discloses an adaptive optimization method for edge optical links in a data center based on deep reinforcement learning. Using a fixed fat-tree electrical switching plane as the underlying architecture, it achieves adaptive addition and deletion of direct optical links between edge switches through topology control (DQN) and optical path switching. The DQN and packet-by-packet routing (DQN) form a two-layer collaborative decision-making structure. This invention models the optical link addition / deletion decision as a constrained Markov decision process, employing a dynamic candidate set mechanism to construct a low-dimensional state and action space, significantly reducing model computational complexity and training overhead. Compared to a pure electrical fat-tree architecture, the provided dynamic candidate set DQN scheme effectively reduces average on-network latency, packet rejection rate, and maximum queue length under high-load scenarios. Under the same link resource constraints, the dynamic candidate set scheme outperforms the all-optical link pair scheme, exhibiting higher training efficiency, decision stability, and network scalability. This invention can adaptively sense traffic distribution and schedule optical link resources on demand, making it suitable for real-time control and performance optimization scenarios in high-dynamic and high-throughput hybrid optoelectronic data center network topologies.

The invention discloses a distributed intelligent power distribution network reliability influence factor analysis method and system, and relates to the technical field of influence factor analysis, and the method comprises the following steps: obtaining the operation state of a power distribution network in a target region, and constructing a topology-control mode table; performing uncertainty labeling on the key equipment to form a structural uncertainty matrix; coupling the structural uncertainty matrix with node operation data, establishing a reliability model, calculating the sensitivity of each uncertain structural unit to the reliability index of the whole system, and generating a structural sensitivity vector; and combining the structural sensitivity vector with real-time operation data to form a dynamic reliability influence factor table, and constructing a topology-control mode table. According to the method, the dynamic reliability influence factor table is generated by establishing the structure-state coupling reliability model, so that the problem that key influence factors are inaccurately identified due to the fact that the influence of topological change and control mode switching on the system reliability is not comprehensively considered in the prior art is solved.

The application discloses a distributed intelligent power distribution network reliability influence factor analysis method and system, relates to the technical field of influence factor analysis, and comprises the following steps: obtaining the operation state of a target area power distribution network, and constructing a topology-control mode table; marking uncertainty of key equipment to form a structure uncertainty matrix; coupling the structure uncertainty matrix with node operation data, establishing a reliability model, calculating the sensitivity of each uncertain structure unit to the overall system reliability index, and generating a structure sensitivity vector; and combining the structure sensitivity vector with real-time operation data to form a dynamic reliability influence factor table. The topology-control mode table is constructed. By establishing a structure-state coupled reliability model and generating a dynamic reliability influence factor table, the application solves the problem that the influence of topology changes and control mode switching on system reliability is not comprehensively considered in the prior art, and the problem of inaccurate identification of key influence factors is solved.

The invention discloses an OLSR routing method for optimizing time slot resources. The method comprises the following steps of: interactively maintaining neighbor and topological information through a HELLO message, and calculating and announcing an MPR set according to the neighbor and topological information; the core lies in that the sending interval of topology control messages is dynamically triggered and calculated based on an exponential formula by monitoring the change of an MPR selector list, and intelligent adjustment of control overhead is achieved; at a receiving end, performing message forwarding judgment based on an MPR selector list, and calculating retention time for a learned topology entry by adopting an adaptive formula to enhance robustness; and finally, iteratively generating a routing table based on the updated topology table. According to the invention, the occupation of the routing protocol control message on the constant air interface time slot resource is reduced, and the transmission capability of the service data is improved on the premise of ensuring the network stability.

The invention discloses a bilateral LCC compensation topology control system suitable for wireless charging of an unmanned aerial vehicle, and the system comprises an FPGA controller, the FPGA controller is connected with an AC current and voltage signal conditioning circuit, a full-bridge inverter drive circuit, and a transmitting side LCC compensation topology structure, the transmitting side LCC compensation topology structure is connected with a receiving side LCC compensation topology structure through a wireless signal, and the receiving side LCC compensation topology structure is connected with the receiving side LCC compensation topology structure through a wireless signal. And the receiving side LCC compensation topological structure is connected with the signal verification circuit. The invention further discloses a parameter design method of the bilateral LCC compensation topology control system suitable for wireless charging of the unmanned aerial vehicle. The problems of system detuning and transmission efficiency reduction caused by coupling coefficient and load fluctuation during wireless charging of the unmanned aerial vehicle are solved.

The invention relates to the technical field of communication network topology control, and provides a link self-healing topology control method for a redundant communication network, which realizes dynamic coupling evaluation of performance and environment by fusing the instantaneous deterioration degree and historical trend of performance data with the risk probability of environmental data, and improves the reliability of the communication network. The vulnerability index can truly reflect the current fault risk of the link, and a basis is provided for topology reconstruction triggering; after a high-fragility link is shielded, an alternative topological structure is explored through a graph theory algorithm, and it is ensured that the alternative topological structure adapts to service requirements; during service migration, service interruption caused by direct switching is avoided through parallel transmission and staged migration, and the requirement for continuity of high-real-time service is particularly met; by monitoring operation feedback data of a target topological path, vulnerability evaluation parameters and weighted evaluation parameters are dynamically updated, so that subsequent vulnerability index output and target topological structure selection can adapt to the actual operation state and service demand change of a link, and control precision attenuation caused by static parameters is avoided.

The present application relates to the technical field of industrial automation control, in particular to an automatic control system of surface treatment equipment based on multi-station cooperation, comprising a process gene mapping module, a predicted trajectory interlocking module and a bus closed-loop feedback module. The present application constructs a process topology control chain, uses a virtual control entity and a global resource occupation table to perform advanced deduction on the control system clock axis, triggers a software and hardware interlocking mechanism and generates a time-space decoupling control signal when identifying occupation conflicts; the bus closed-loop feedback module checks the spatial consistency of the measured feedback vector and the virtual control entity, triggers an emergency stop protection and forcibly reconstructs the control signal when the deviation exceeds the virtual-real mapping residual limit. The present application realizes global asynchronous parallel scheduling and closed-loop safety control of production line multi-task, effectively solves the problems of low cooperation efficiency and equipment resource deadlock.

The present application relates to the technical field of smart grid, and discloses a MARL topology control method and system for promoting renewable energy grid connection, comprising: constructing a topology control problem and a multi-agent decision problem under a large-scale power grid, obtaining power grid operation data and constructing a data set according to a reverse power flow index; constructing a joint graph capable of capturing the complete operation range of a dynamic power grid based on the data set, and dividing agents based on topology distance; constructing the observation, action space and heterogeneous reward and punishment function of each agent, and calculating the advantage function of each agent according to the same, optimizing the strategy and value network of the agent through the centralized training and distributed execution paradigm to obtain an optimized multi-agent topology. The present application can meet the needs of scalability under a large-scale network, operation safety in real-time decision-making and effectiveness of the control strategy.

The application claims a satellite network connection plan design method based on shadow perception topology control, belonging to the technical field of wireless communication. In view of the limited battery capacity of small satellites and the time-varying characteristics of power, considering the demand of different observation data on time delay and throughput, a connection plan design method based on shadow perception topology control is proposed. Considering that the periodic appearance of small satellites on the earth's sun and moon surface will lead to the time-varying of battery energy, the small satellite network topology control is carried out according to the position information of the satellite sun and moon surface, the energy model is established by using the constructed shadow perception space-time diagram, and the lowest energy consumption path is found for all node pairs, and all connections in each time slot are traversed to screen the connections meeting the residual energy constraint. Considering the limited number of repeaters, limited satellite storage capacity and limited backhaul opportunity, the snake optimization algorithm is used to design the connection plan for different demand observation data, which minimizes the real-time data delay and maximizes the non-real-time data throughput.

The invention discloses a subdivision type energy storage system control method. The method comprises the following steps: acquiring operation state parameters and external control requirements of a plurality of energy storage subdivisions in real time; generating a control signal for controlling the on-off state of each switch unit array according to a topology control algorithm based on the operation state parameters and external control requirements; and the on-off state of the intelligent power electronic switch matrix is dynamically adjusted according to the control signal, and the electrical connection relation among the energy storage sub-cabins is reconstructed. By deploying an intelligent power electronic switch matrix and executing a topology control algorithm, millisecond-level dynamic reconstruction of an electrical connection relationship among a plurality of energy storage sub-cabins is realized, and the technical problems that due to fixed electrical connection, system operation flexibility is insufficient, faults cannot be thoroughly isolated, and virtual energy storage units are difficult to construct as required are solved.

The application discloses a network-constructing type electrolytic water hydrogen production unit topology control method suitable for new energy direct connection, and relates to the field of hydrogen production unit topology control. The application constructs a network-constructing type control system for a new energy direct connection scene, forms a unified closed-loop control structure in terms of power modeling, damping adjustment, electricity-hydrogen cooperation and impedance reconstruction, and enables the rectifier to have stronger dynamic support capability under weak power grid conditions. The application can timely enhance system damping in the oscillation energy growth stage and reduce low-frequency and subsynchronous oscillation amplitude. The application realizes dynamic cooperation of the electrolytic cell and the rectifier, weakens the influence of negative resistance characteristics on system stability, and improves the equivalent output impedance of the rectifier under voltage disturbance, so as to improve the equivalent short-circuit capacity and damping ratio of the system.

The application provides a space terahertz communication network topology adaptive method, which considers the comprehensive evaluation of the importance of multiple rules of nodes, defines the network connectivity in combination with the importance of nodes, proposes a topology control optimization algorithm based on network connectivity, and realizes the dynamic adjustment and optimization of the network topology. The method can dynamically adjust the network topology structure according to the communication requirements in different application scenarios, and improve the connectivity and resource utilization efficiency of the network. Meanwhile, the method also considers the physical limitations of nodes, the performance indicators of communication links, and factors such as energy consumption and life, so as to ensure that the optimized network topology not only has high connectivity, but also has feasibility in practical application. The method is suitable for complex communication networks containing GEO star clusters, LEO constellations, near space platforms and ground stations and other various space nodes, and provides strong technical support for the development of space terahertz information networks.

The invention discloses a topology control method of a network-forming type water electrolysis hydrogen production unit adapting to new energy direct connection, and relates to the field of topology control of hydrogen production units. According to the invention, a network construction type control system oriented to a new energy direct connection scene is constructed, and a unified closed-loop control structure is formed on the aspects of power modeling, damping adjustment, electricity-hydrogen cooperation and impedance reconstruction, so that the rectifier has stronger dynamic supporting capability under the condition of a weak power grid; the system damping can be enhanced in time in the oscillation energy increasing stage, and the low-frequency and subsynchronous oscillation amplitude is reduced; dynamic synergy of the electrolytic cell and the rectifier is achieved, and the influence of negative resistance characteristics on system stability is weakened; and the equivalent output impedance of the rectifier is improved under the condition of voltage disturbance, so that the equivalent short-circuit capacity and damping ratio of the system are improved.

The invention provides an industrial wireless sensor network topology control method for data collection, which comprises the following steps of: uniformly dividing a task period into a plurality of continuous time periods, and calculating an initial network topology sequence according to whether each industrial sensor node is active or not in each time period and dynamic position information, constructing a space-time diagram according to the initial network topology sequence; calculating an energy consumption index and a reliability index of each link in the space-time diagram, and fusing the energy consumption index and the reliability index into a comprehensive link weight; and searching an optimal space-time path from each industrial sensor node to a control node by using an improved shortest path algorithm according to the space-time diagram and the comprehensive link weight, and combining link sets of all the shortest space-time paths to form a final network topology of the IWSNs. According to the method, the energy consumption and reliability of data transmission in a dynamic network are balanced while the influence of node mobility on industrial wireless communication is considered.

This invention discloses a topology control method for pressure-regulated macroscopic heat transfer networks to achieve functional switching. Based on the governing equations of Keller's law, this invention regulates the heat flow transmission path in the macroscopic network by adjusting the pressure, i.e., adjusting the anisotropic thermal conductivity of the background and functional regions of the macroscopic heat transfer network. This enables functions such as thermal stealth and heat accumulation during heat transfer. Furthermore, combining the design concepts of thermal switches and variable thermal resistance, this invention presents a metamaterial model of a macroscopic heat transfer network with continuously adjustable stealth and heat accumulation functions. Through geometric control, different functions can be exhibited under different pressure differences, achieving adjustable heat flow and thermal function switching in the macroscopic heat transfer network. This method has potential applications in fields such as electronic chips, power devices, and wearable electronic devices.

The invention provides a GPU (Graphics Processing Unit) optical interconnection dynamic reconstruction method and system. The GPU optical interconnection dynamic reconstruction system comprises a plurality of GPU computing nodes, an optical circuit switching matrix and a controller, the GPU optical interconnection dynamic reconstruction system defines a first channel and a second channel in advance, the first channel is a working channel, and the second channel is a preparation channel; the method comprises the following steps: when a service flow is transmitted on a topology established on a first channel, if optical interconnection dynamic reconstruction is carried out, a controller controls an optical circuit switching matrix to establish a new topology on a second channel; and the controller controls the plurality of GPU computing nodes to switch the working channel from the first channel to the second channel, so that the service flow continues to be transmitted on the new topology established on the second channel. According to the method, real-time and dynamic reconstruction of the network topology can be realized on the premise of not interrupting a GPU or interrupting a computing service at a nanosecond level, so that the network topology is always kept in optimal matching with a communication mode of a computing task.

The application discloses a kind of fast response link state routing methods for flight self-organizing network, the method is first in flight self-organizing network, unmanned aerial vehicle node is based on HELLO message, calculates and maintains the link information of one-hop and two-hop neighbor.Secondly unmanned aerial vehicle node is based on topology control TC message calculation, and maintains the topology table of link information.Last unmanned aerial vehicle node will be triggered route calculation when it receives HELLO message, detects HELLO message loss or perceives link state change, and completes link information update, and unmanned aerial vehicle node will be based on comprehensive routing metric calculation and update routing table in combination with link information and topology table.The application can quickly respond to network topology change and link quality decline, effectively alleviate the problem of outdated routing information caused by control message loss, effectively inhibit unstable multi-hop path, improve the stability and transmission reliability of routing.