Use method of combat knowledge system and combat decision auxiliary method

Abstract

The invention relates to a use method of a combat knowledge system based on knowledge engineering and a combat decision auxiliary method. The use method comprises the following steps: mining a new rule from battlefield experiment data by using a data mining engine; carrying out object and attribute extraction on the new rule and the existing rule through a rule engine so as to construct a combat rule base; performing rule reasoning calling on the combat rule base by utilizing a Rete algorithm through the rule engine to generate a reasoning result; forming a knowledge ontology library from the acquired battlefield experiment data by three elements of entities, relationships and attributes through a knowledge engine; and performing knowledge retrieval and knowledge recommendation on the multi-party information by using the knowledge engine according to the knowledge ontology library and a reasoning result generated by the rule engine so as to generate combat decision support. According to the invention, deeper analysis, research and judgment work is carried out on the combat factor information, so that weapons are associated with each piece of intelligence information, the data of informatization combat are fused and standardized, and the command efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of informationized warfare, in particular to a method for using a combat knowledge system based on knowledge engineering and a method for assisting combat decision-making based on knowledge engineering. Background technique [0002] Modern warfare is information-based warfare. The entire battlefield presents the characteristics of diversified combat methods, diversified combat objects, and complex and changeable combat environments, which makes command operations increasingly difficult. How to command and guide combat deployment more efficiently and intelligently is an important process in the development of electronic and automatic development of our military. [0003] At present, the research on intelligent decision-making assistance in information warfare based on knowledge engineering is not deep and mature enough, mainly focusing on the management of weapons and equipment, internal and external intellig...

AI Technical Summary

Problems solved by technology

[0004] 1. The problem of multi-source data fusion: the information sources in the current combat system are diversified, which leads to problems in the exchange, reuse, redundancy, conflict and sharing of data information. How to realize the effective fusion of multi-source data, for Providing effective and accurate information for battlefield situation analysis and decision support is a big problem

[0005] 2. The problem of "state" but no "potential": the current command and combat system mostly stays in the presentation of objective data for the analysis of the battlefield situation, lacking the ability of systematic correlation analysis of battlefield targets and the ability to predict the movement of enemy targets. The status quo of powerlessness seriously restricts the commander's scientific decision-making and command

[0006] 3. Insufficient construction and utilization of standardized knowledge system: knowledge storage is relatively scattered, there is no unified knowledge management platform for centralized management, some knowledge has not been summarized in a timely manner, especially experience-based combat knowledge lacks precipitation, and knowledge reusability is poor. results in a large amount of duplication of effort and the inability to efficiently apply knowledge to operational decision support

[0007] 4. Low efficiency of command procedures: Traditional operations relying on human staff teams make it difficult to integrate all situational information on the battlefield, command task procedures lead to low quality control efficiency, and insufficient coordination of combat command

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