摘要
由于猪场养殖环境控制过程中存在的非线性、强耦合、大惯性等难题,传统环境监控系统采用的有线方式成本高、效率低且不便布设管理等缺陷,本文设计一种基础无线传感网技术的猪场养殖环境监控系统,并在系统中采用基于RBF神经网络解耦控制算法。仿真结果表明,本系统能够很好的解决环境因子之间的强耦合,提高系统的实时性。该系统既具有较高的解耦性能,又能够满足监控过程中对多测点、多要素、易组网、易安装等方面的要求,具有较好的实用价值和应用前景。
Due to problems of the nonlinear, strong coupling, large inertia and high cost, low efficiency, inconvenience of layout management in traditional wired environment monitoring system, this paper puts forward a design of environment monitoring system of pig farms based on wireless sensor network technology. Based on this, it implements RBF neural network decoupling control algorithm. The simulation results show the system can solves the strong coupling between the environmental factors, improves the real-time property of the system. This system not only has high decoupling performance, but also be able to meet the requirements in monitoring the process of multi-points, multi-factors, easy networking, easy installation, and has good practical value and application prospect.
出处
《中国农机化学报》
北大核心
2014年第1期260-263,269,共5页
Journal of Chinese Agricultural Mechanization
基金
江苏省科技厅农业支撑计划项目(BE2011337)
国家青年科学基金项目(61203056)
关键词
无线传感器网络
猪场养殖环境
神经网络解耦
嵌入式技术
wireless sensor networks
pig breeding environment
neural network decoupling
embedded technology