基于日志挖掘的装备健康管理系统设计与实现

随着装备的复杂度和信息化程度不断提高，在装备使用过程中产生的日志信息量正以指数级增长。针对目前日志信息处理应用中存在的问题，设计并实现了一个装备健康管理系统，通过对某型装备大量日志文件的分析，制定了设备通用的日志文件预处理规则和重要信息提取适配器，并结合数据挖掘算法构建装备健康管理系统，结合云重心评估法实现了对设备健康状态的评估。该系统从大量日志文件中提取出有价值的信息，帮助设备人员快速定位装备异常，提高解决问题的效率，通过设置系统的关键指标和监测点阀值，实现装备的健康预警。

Designing and Realizing of Equipment Health Management System based on Log Mining

Log information produced from the use of equipment has seen exponential growth with the increasing of the complexity and informatization of equipments. Universal log file reprocessing rules and critical information extracting adaptor are developed through analysis for massive log files of a certain type of equipment, while equipment health managing system is constructed based on data mining algorithm and evaluation for equipment health is realized based on cloud barycenter assessment method. The system can extract valuable information from massive log files and accelerate the location of equipment anomaly, thus can improve problem solving efficiency. It can also realize equipment health warning by configuring critical parameters and monitor threshold.