4 results about "Network survivability" patented technology

The invention discloses a low-altitude flight route network survivability evaluation method and device, and relates to the technical field of low-altitude flight safety, and the method comprises the steps: obtaining a low-altitude flight route network survivability evaluation index; constructing a low-altitude route complex network model; and based on a low-altitude route network survivability evaluation index, removing important nodes in the low-altitude route complex network model, and carrying out simulation analysis on the network survivability through a complex network theory. By adopting the technical scheme of the invention, the survivability of the low-altitude airline network under the weather influence can be better evaluated.

The invention relates to a network survivability evaluation method and device, computer equipment, a storage medium and a computer program product. Relates to the field of network technology and security technology. The method comprises the steps of obtaining a first number and a second number of to-be-evaluated networks; determining a first selectable node combination for removing a first number of nodes in the network to be evaluated, and a second selectable node combination for removing a second number of nodes in the network to be evaluated; determining first network information based on the number of sub-networks obtained after the first selectable node combination is removed from the to-be-evaluated network, and determining second network information based on the number of disjoint paths of the sub-networks obtained after the second selectable node combination is removed from the to-be-evaluated network; and calculating the survivability of the to-be-evaluated network based on the first network information and the second network information. By adopting the method, the accuracy of a network survivability evaluation result can be improved.

This invention discloses a simulation verification method and system for power communication network maintenance based on digital twins, relating to the field of intelligent operation and maintenance technology for power and communication networks. It solves the problems of existing technologies where maintenance approval relies on manual experience, lacks dynamic simulation methods, and cannot assess the risk of superimposed faults. The key technical points are: converting the pending power communication maintenance application form into a graph operation command; inputting the graph operation command into a pre-constructed digital twin model for topology simulation, outputting the maintenance-state network topology; wherein the digital twin model is constructed from the full topology graph of the power communication network; under the maintenance-state network topology, performing a full-network static connectivity analysis, traversing and simulating the network survivability after a single fault occurs on the remaining critical links, and calculating the maintenance risk index by combining the voltage level and type weight of the carried services; comparing the maintenance risk index with a preset safety threshold, and outputting the simulation verification result.

The invention relates to an unmanned aerial vehicle dynamic self-organizing network method and system based on multi-satellite cooperation. The method comprises the following steps: receiving positioning information of an unmanned aerial vehicle and anchor point data of topological anchor points broadcasted by a satellite network through a multi-channel communication terminal arranged on the unmanned aerial vehicle; calculating the distance between the unmanned aerial vehicle and the topological anchor point based on the positioning information and the anchor point data; selecting an unmanned aerial vehicle cluster head of the unmanned aerial vehicle group according to the distance between the aircrafts and the anchors based on a smaller distance priority principle; the unmanned aerial vehicle cluster head is connected with the unmanned aerial vehicle members in the unmanned aerial vehicle group, and the problems that an existing unmanned aerial vehicle dynamic self-organizing network is fragile in topological structure, poor in high-speed moving adaptability, lack of air-space cooperative ability and insufficient in network survivability can be solved.