Design and Analysis of a Water Quality Monitoring Data Service Platform

Water is one of the basic resources for human survival. Water pollution monitoring and protection have been becoming a major problem for many countries all over the world. Most traditional water quality monitoring systems, however, generally focus only on water quality data collection, ignoring data analysis and data mining. In addition, some dirty data and data loss may occur due to power failures or transmission failures, further affecting data analysis and its application. In order to meet these needs, by using Internet of things, cloud computing, and big data technologies, we designed and implemented a water quality monitoring data intelligent service platform in C# and PHP language. The platform includes monitoring point addition, monitoring point map labeling, monitoring data uploading, monitoring data processing, early warning of exceeding the standard of monitoring indicators, and other functions modules. Using this platform, we can realize the automatic collection of water quality monitoring data, data cleaning, data analysis, intelligent early warning and early warning information push, and other functions. For better security and convenience, we deployed the system in the Tencent Cloud and tested it. The testing results showed that the data analysis platform could run well and will provide decision support for water resource protection.     

内存动态分析在信息侦查中的简单应用

文章以腾讯微博账户为线索,利用内存分析工具,成功提取出其对应QQ号码为案例,详细讲解了内存动态分析技术在日常信息侦查工作中的应用。该分析方法在网络管理、计算机勘验、病毒分析等方面均有一定的推广价值,为从事计算机技术工作的工程师提供参考。     

基于腾讯云的在线教育系统设计与实现

在信息化社会环境下,伴随着云计算技术和移动互联网的使用范围越来越广,移动学习（M-Learning）作为一 种新的学习方式应运而生。基于此,本文利用移动应用和云计算技术开发了基于腾讯云的在线教育系统。通过对当前智慧校 园建设和移动学习内涵和特点的分析,确定采用Java EE开发技术和腾讯云技术。系统使用MySQL数据库,开发基于MVC模 式实现,完成了课程资源发布、在线学习等基本功能。