Artillery Troops Maneuvering Auxiliary Decision System In Dynamic Environment Research

Artillery military maneuver operations are facing more and more difficulties and problems in the information war.Making quantified and qualitative analysis f and establishing a special military simulation training system to study the process of military maneuvers,can provide scientific and reliable basis for artillery commanders’ command and decision.This subject is part of the computer-aided decision system for artillery military maneuver,which is based on "the twelfth five-year plan of the Chief Equipment Department". The purpose of the dissertation is to establish a computer-aided decision system, which is based on artillery military maneuvers decision support problems under the dynamic environment, to meet the requirements of the mobile combat training of our troops.Main research of the dissertation includes:(1) Quantified and qualitative analysis is maked for maneuvers of the artillery troops, and a quantitative description model is established, which provides a scientific basis for the motor optimal path and decision-making systems.(2) A computer-aided decision system under the dynamic environment is designed and realized, which provides a auxiliary means for commanders. The system consists of four subsystems:the database management subsystem,the map processing subsystem,the mobility decision-making subsystem and the motorized instrument subsystem.The motorized decision-making subsystem provides a scientific basis for the implementation of the maneuvering decision;the map processing subsystem constructed road network topologies for the study of the optimal path algorithm; the database management subsystem is used to storage and process all the data of the system; the motorized instrument subsystem is used to handle the motorized instruments.(3) In the dissertation, the shortest path problem of decision support system is studied. DIKB algorithm is introduced based on the classical Dijkstra algorithm, in order to solve the shortest path problem in the computer-aided decision system for artillery military maneuver.This dissertation aims to establish a people-based man-machine combination computer software system, to provide decision support for artillery Command. Commanders able to directly intervene in the decision-making process, directly determine the decision-making results. The system is helpful and meaningful for Artillery analog command training.