摘要
由于药材生长的环境条件苛刻,监控参数较多,针对国内药材种植监控系统功耗大、算法复杂等问题,本文利用SOPC技术改进传统的监控系统,提出最佳节能动态采样的思想,动态的调整节点的休眠时间,达到最佳的节能效果.软件编程上采用事件驱动、宏观调度并结合最佳动态采样的算法.同时,通过移植实时操作系统u C/OS-II,主节点实现大量复杂的实时功能,包括参数监控、功耗管理、数据库管理,甚至视频传输等.系统通过嵌入安全性极高的Niche Stack TCP/IP协议栈构建了Web服务器,能够将监控数据实时传递到Internet和手机.
Due to the harsh environment demanded by herbs, numerous monitoring parameters, for the domestic medicinal plant monitoring system of large power consumption, complex algorithm etc.. This paper improved the traditional monitoring system using SOPC technology, put forward the best energysaving dynamic sampling theory, the dynamic adjustment of node dormancy time, and achieve the best energy saving effect Software programming using event-driven, macro-schedule and the best combination of dynamic sampling algorithm. At the same time, by transplanting real-time operating system u C/OSII, the master node implementation of a large number of real-time complex functions, including parameter monitoring, power management, database management, and even video transmission. Niche Stack TCP/IP stack is used to construct web server, which can transfer the real-time data to internet and mobile phones.
出处
《新疆大学学报（自然科学版）》
CAS
北大核心
2017年第1期84-89,共6页
Journal of Xinjiang University(Natural Science Edition)
基金
国家自然科学基金项目(61463014
60665002)
