一种针对日志数据流的实时可视化方法

Real-time Visualization Method for Log Data Stream

针对网络考场中的常规监考手段无法及时发现网络作弊的问题,提出了一种针对网络考场监控日志数据流的可视化方法。该方法以网络考场的监控日志数据流作为处理对象,对数据流进行实时可视化,以及时发现考试过程中的异常行为。首先将实时采集到的日志数据,根据日志规则分解为考生、考试机、题目等主要信息;根据考生的首次日志记录信息,建立考生/考试机对应信息表;然后针对每一条接收到的日志,将其主要信息元素与可视化元素进行映射,将整个考场中所有学生的考试状态呈现在同一可视化结果中。一旦有考生存在作弊等异常行为,可视化结果中能够实现明显的提醒,并能对考生进行行为分析。实验结果表明,文中方法能够对日志数据流数据进行实时展示,文中的数据处理方法能够满足实时交互需求。

To discover the network cheating behavior in the online examination room in real time, a log data flow visualization method was proposed. The monitoring log data flow was used as the data source of the method. The candidates, the examination machine and other information were extracted according to the rules of the log. The correct candidate/machine corresponding relationship was established according to the first related log record information. The main information elements were mapped to the visual elements for each log data. All students＇ status and behavior were presented in the same visual result. A clear reminder will be achieved once there are cheating and other abnormal behavior. The experimental results show that the method is able to show the log data stream data in real time. The data processing method can adapt to real-time interaction.