A Research on Battlefield Situation Analysis and Decision-making Modeling based on a Hadoop Framework

摘要

The researches on modern military sectors are stepping into a big data-driven age. The evolution of wars and tactics leads to new warfare techniques, yet their practical application upgraded the war into a new generation, which represents a spiral development mode. In an exploration of intelligent methods in application to intricate systems with large data scale and break grounds in the area of battlefield situation analysis and decision issue, the paper first aims at designing an analysis and decision making model based on Hadoop architecture. The model focuses on using techniques such as Hadoop distributed platform architecture, HDFS distributed file system coupling, MapReduce parallel computing model and Hbase distributed database in order to provide core support for overall combat data mining. Moreover, the paper provides technical reference paths and methods for the elimination of war "fog" and "resistance". It also aims to merge "isolated fragments" into general "panoramic puzzles", which can be interpreted by the assistant commander, so as to make accurate real-time judgment on the battlefield situation and operate the combat pivots.