This paper analyzes passive Internet public opinion supervisory system. It analyzes the shortcomings of its work procedures from posting public opinion on Internet, long-time delay of effective analysis and dealing, low efficiency, not on-time information preprocessing to not acquiring all the sensitive and harmful information. It establishes an active Internet public opinion supervisory system after analyzing the reason of the above problems. This system adopts the formula of dynamically and real-timely acquiring data with the client end based on webpage control. It controls Internet information publishing forms and channels. It real-timely and actively supervises the data such as speciifc public opinion information, hidden harmful information, time-effective and sensitive information and public opinion trend information from the very beginning. It real-timely copies the dynamically submitted data to central database to analyze. It completely subverts the traditional way of crawling information. It basically can realizes real-timely and actively manage and control information, and improve greatly the efifciency of public opinion information supervision and management for the public security.%文章分析了基于被动模式的互联网舆情监控系统，分析了其流程中存在的弊端，即从舆情信息发布于互联网，到有效的分析处置经过了较长的时间延迟，工作效率不高、信息处理时效性不强、且不能保证所有不良及敏感信息被全部获取。在分析上述问题成因的基础上设计构建了一种基于主动模式的互联网舆情监控系统。该系统采用了基于页面控件的实时的客户端动态数据捕获技术方案，把握互联网信息发布的形式与渠道，从数据源头开始，就针对特定舆情信息、隐性有害信息、时效性敏感信息、舆情趋势信息等内容，进行实时主动监控，彻底颠覆了传统的通过爬虫工作流程，基本能够实现实时、主动的信息管控，极大地提高了公安机关舆情信息监管工作效率。
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