A method for calculating the number of effective OODA chains

Abstract

The invention discloses a method for calculating the number of effective OODA chains, and the method mainly comprises the following steps: generating an ER random network model, enabling a node with the highest degree in the model to serve as a D node, and enabling the rest nodes to serve as an S node and an I node; calculating the out-degree and in-degree of the D node; respectively storing the out-degree and the in-degree in two lists, and carrying out combination operation to obtain the final effective OODA chain number. The number of the effective OODA chains is calculated by establishinga model suitable for a weapon equipment system network and defining an effective OODA chain concept, the calculation complexity is low, and reference materials are provided for numerous researches based on the OODA chains.

Description

technical field [0001] This algorithm belongs to the integrated weapon and equipment system, more precisely, it involves OODA ring (chain) as the evaluation index of the integrated weapon and equipment system. Background technique [0002] The new joint operations spawned by information warfare are different from the previous combat styles, and it pays more attention to the formation of the overall combat force. With the development of military science and technology, the types of weapons and equipment are gradually diversifying, the functions of a single piece of equipment are constantly enriched, and the coupling relationship between equipment becomes closer, reflecting the characteristics of integration. The success or failure of today's war depends more on the mutual cooperation between equipment, that is, whether the system interconnection, information exchange and interoperability can be effectively realized. Combine intelligence information, command and control, fire...

AI Technical Summary

Problems solved by technology

This method is mainly aimed at optimizing the above two problems with high computational complexity. One is to optimize the integrated weapon equipment model. Based on the stochastic ER model, the unnecessary edges are processed to optimize the model, and then the importance is used to optimize the model. Implement effective classification of various types of entities, improve the quality of the model, and make it closer to the actual integrated weapon equipment model; secondly, for the processing of D nodes, the concept of an effective OODA chain is proposed to optimize the processing of D nodes.

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