基于物联网技术的锈斑蟳人工养殖环境监测

Monitoring of Charybdis feriatus artificial breeding environment based on Internet of things technology

为提高锈斑蟳(Charybdis feriatus)人工养殖的质量,利用物联网技术对其环境监测系统进行设计。首先,对锈斑蟳人工养殖环境物联网远程监测系统进行设计,包括系统的总体结构、本地监控子系统、远程监控子系统以及水质监测系统。同时,针对水质检测中溶解氧预测,利用改进的LMBP(Levenberg-Marquardt Back Propagation)算法进行设计。结果表明,人工养殖环境监测系统能够较好实现锈斑蟳养殖环境的智能化控制,减少人力物力。此外,基于改进的LMBP算法能够对溶解氧进行较好地预测。

In order to improve the artificial breeding quality of Charybdis feriatus,the environmental monitoring system would be studied and designed using the Internet of things technology.First of all,the remote monitoring system of the Internet of things for the artificial breeding environment of Charybdis feriatus was designed,including the design of the overall structure of the system,the local monitoring subsystem,the remote monitoring subsystem and the water quality monitoring system.In addition,for the prediction of dissolved oxygen data in water quality detection,the improved LMBP(Levenberg Marquardt Back Propagation)algorithm was used to design it.The results showed that the designed artificial breeding environment monitoring system could better realize the intelligent control of the breeding environment of Charybdis feriatus,and reduce human and material resources.In addition,the improved LMBP algorithm could better predict the dissolved oxygen.