The application relates to the technical field of site networking, and particularly discloses a digital twin unmanned site decentralized networking method and
system. After being modeled by digital twinning, the unmanned site serves as a self-organizing network node, forms a
decentralized network, and is initialized to elect a leader node. After the leader node publishes a task, network nodes vote through a multi-dimensional
verification and
consensus mechanism. After the task is claimed, a message is written into a
metadata extension field and is synchronized across the network, reducing multi-source heterogeneous data islands and repeated claims. Based on the task position and the basic
environmental data of the node geographic grid, an optimal routing cost function under multi-dimensional constraints is constructed, the nearest neighbor node is determined through the minimum cost value, the lowest
delay connection graph is obtained through
spatial analysis, and the optimal path is determined, so that the multi-unmanned
system device executes the task according to the optimal path, the task scheduling and
resource coordination accuracy are improved, the decision support capability under comprehensive
situation awareness is improved, and the multi-device collaborative efficiency and task dispatching accuracy are further improved.