装备使用与保障研究数据的生成方法研究

装备使用与保障数据是开展装备科学研究的重要依据，而由于管理不善、保密、样本过少等原因常常导致相关数据缺少应有的积累，无法满足实际研究的需要。为了克服这一困难，文章提出通过算法生成数据予以解决。首先根据数据的应用特性，将装备使用与保障数据看作简单数据、规律已知数据和规律未知数据三类，分别制定生成策略。对于简单数据和规律已知数据，通过已有的商用软件或简单的自定义方法生成；对于规律未知数据，采用模式注入或特性继承的方法生成。在某大型装备管理综合信息系统的设计开发中，对这些生成方法进行了工程实践，结果表明了方法的正确性和可行性。

STUDY ON DATA GENERTION METHODS OF EQUIPMENT OPERATION AND SUPPORT

The data of operation and support of equipment are important basis of carrying out equipment scientific research. However, the related data are often lack of proper accumulation because of ill management, secret and too small sample. So the data are unable to meet the needs of actual research. In order to overcome the difficulty, methods of data generation are proposed. First, the data of operation and support of equipment will be divided into three categories on application characteristic: the simple data, the known rules data and the unknown rules data. Second, different generation strategies are applied to these three data categories. For the simple data and the known rules data, some commercial software or simple custom algorithms can be used for data generation; for the unknown rules data, mode injection or characteristic inheritance algorithms can be used. These data generation methods were practiced in one large design and development of equipment management information system, and the result shows availability and correctness of the methods.