基于决策树算法的多媒体教室设备故障风险评价

Assessment of Multimedia Classroom Equipment Failure Risk Based on Decision Tree

随着多媒体技术的普及和推广,多媒体教室已取代传统教室成为现代教学的主要场所。而传统多媒体教室管理中因为设备数量少,往往采用被动处理的方式解决设备故障,已无法满足现在多设备、高负荷的多媒体教室管理需要。提出了一种基于决策树的设备故障风险算法,从设备的采购、管理和维护各阶段主动识别设备故障风险,从而预防和降低设备的故障率,提高设备的运行稳定性。实验结果表明,相比传统管理方式,该方法可有效识别多媒体设备的故障风险,从而改进设备管理流程,提高多媒体教室设备使用效益。

With the popularization of multimedia technology,multimedia classrooms have replaced the traditional classroom and become the main place of modern teaching.In the past,because of a small number of equipment in multimedia classrooms,a passive way was often taken to resolve equipment failures.But now this method was unable to meet the needs of the management of more equipment and high-load multimedia classroom.This paper proposes decision tree based equipment failures risk algorithms,which actively identify the risk of equipment failure from equipment procurement,management to maintenance,thereby preventing and reducing the failure rate of equipment and improving equipment operating stability.The experimental results show that compared with the traditional management,this algorithm can effectively identify the risk of failure of multimedia equipment,thus improving equipment management processes and efficiency in the use of multimedia classroom equipment.