文献类型: 会议论文
第一作者: Wen Ding
作者: Wen Ding 1 ; Yinchi Ma 1 ;
作者机构: 1.Beijing Fisheries Research Institute, Beijing, 100068, China
关键词: wireless sensor network;node;gateway;hardware platforms;aquaculture applications
会议名称: IFIP TC 5/SIG 5.1 conference on computer and computing technologies in agriculture
主办单位:
页码: 502-507
摘要: The current means for aquaculture water quality monitoring have a weak infrastructure. We research to use wireless sensor technology, embedded computing technology, MEMS technology, distributing information processing technology and wireless communication technology to build the wireless network sensor network system. This system is a digital, networked, intelligent real-time dynamic for monitoring the aquaculture water quality. The system not only can deal the normal detection of the aquaculture environment indicators (temperature, PH, dissolved oxygen, turbidity, ammonia, etc.) in real-time monitoring, but also can detect indicators of data fusion and data mining to establish a history database of aquaculture environmental monitoring indicators. The system can gather the monitoring data by a local or remote way, and realize the real-time, dynamic display and analysis. So as to improve the process of aquaculture, water resources utilization, the quality of the culture environment and reduce emissions of pollutants. The system can provide an important technical means and scientific basis. The hardware architecture design is the core technology of this system. We will detail the part in this article.
分类号: S1`TP3
- 相关文献
[1]The Application of Wireless Sensor in Aquaculture Water Quality Monitoring. Ding, Wen,Ma, Yinchi. 2012
[2]A Farmland Wireless Sensor Network Optimization Topology Control Algorithm. Li, Feifei,Wu, Huarui,Miao, Yisheng,Zhu, Li,Wu, Huarui,Wu, Huarui,Yuan, Ling. 2014
[3]A Microclimate Monitor Sensor Network with an Effective Data Aggression Algorithm. Zhang Ruirui,Du Shangfeng,Zhang Ruirui,Chen Liping,Xu Gang,Kan Jie. 2014
[4]The Propagation Characteristics of Radio Frequency Signals for Wireless Sensor Networks in Large-Scale Farmland. Wu, Huarui,Zhang, Lihong,Miao, Yisheng,Wu, Huarui,Zhang, Lihong,Miao, Yisheng,Wu, Huarui,Zhang, Lihong,Miao, Yisheng. 2017
[5]Farmland WSN Incremental Deployment Strategy Based on Signal Attenuation Model. Liu, Dayong,Liu, Dayong,Zhao, Chunjiang,Wu, Huarui,Li, Feifei,Zhao, Chunjiang,Wu, Huarui,Li, Feifei. 2016
[6]EMPIRICAL MODELING AND EVALUATION OF MULTI-PATH RADIO CHANNELS ON WHEAT FARMLAND BASED ON COMMUNICATION QUALITY. Wu, Huarui,Miao, Yisheng,Li, Feifei,Wu, Huarui,Miao, Yisheng,Li, Feifei,Zhu, Li.
[7]Research on Building Technology of Aquaculture Water Quality Real-Time Monitoring Software Platform. Ma, Yinchi,Ding, Wen,Li, Wentong,Ma, Yinchi,Ding, Wen,Li, Wentong. 2015
[8]A Farmland Wireless Sensor Network Optimization Topology Control Algorithm. Feifei Li,Huarui Wu,Ling Yuan,Yisheng Miao,Li ZHu. 2014
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