基于Web技术的农田恒压灌溉远程监控系统测试研究

doi:10.3969/j.issn.1674-8530.15.0193

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Abstract To solve the problems, such as electricity and water waste, poor automaticity and low efficiency of information management encountered in rural farmland irrigation, a set of remote monitoring system for constant pressure field irrigation are designed based on the communication, sensors, and control as well as internet technology. This system is composed of perception layer, network layer and application layer. In the perception layer, a star-type network is built through Zigbee wireless communication modules. The control of instruments in pump stations and the data collection of the environmental parameters of fields are realized by using PLC and MCU core nodes. In the application layer, a remote network monitoring software of field irrigation is developed by using Java language combined with JavaBean components in B/S mode and Ethernet communication technology with the aid of OPC server, which is called PC Access. This system has been applied in the irrigation of a standardization field in Taicang County. It is shown that the system can collect data accurately, and maintain a stable pressure level and exhibits a better ability to suppress disturbances. Furthermore, the system can operate smartly and reliably under in situ control and remote network control conditions to monitor the real irrigation states. 

Key words： remote monitoring constant pressure irrigation Web technology wireless sensor network intelligent PID control

Received: 15 October 2015

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	LI Hai-Bo-

	ZHAO Xiao-Feng-

	FU Chen-

	LIU Chang-Zhen-

Cite this article:

LI Hai-Bo-^,,ZHAO Xiao-Feng-^{等. Study on remote monitoring system for constant pressure farmland irrigation based on web technology[J]. Journal of Drainage and Irrigation Machinery Engin, 2016, 34(1): 86-92.}

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http://zzs.ujs.edu.cn/pgjx/EN/10.3969/j.issn.1674-8530.15.0193 OR http://zzs.ujs.edu.cn/pgjx/EN/Y2016/V34/I1/86

[1]刘宏, 翟庆志. 水泵变频驱动的农田灌溉系统仿真研究[J]. 中国农业大学学报, 2014, 19(6):201-207.
　　LIU Hong, ZHAI Qingzhi. Simulation research on irrigation system with pump motor driven by variable frequency[J].Journal of China Agricultural University, 2014, 19(6):201-207(in Chinese)
[2]邓昀,程小辉. 智能灌溉系统的无线传感器网络设计[J]. 自动化仪表, 2013, 34(2):80-83,88.
　　DENG Yun,CHENG Xiaohui.Design of the wireless sensor network for smart irrigation system[J].Automation instrumentation,2013,34(2):80-83,88.(in Chinese)
[3]MARCHESE A, MASSACCESI A. An optimal irrigation network with infinitely many branching points[J]. EprintArxiv, 2014(8):1-23.
[4]XIAO Kehui, XIAO Deqin, LUO Xiwen. Smart water-saving irrigation system in precision agriculture based on wireless sensor network[J].Transactions of the CSAE, 2010,26(11):170-175.
[5]陶俊喜. 农田灌溉系统设计[J]. 水利科技与经济, 2014, 20(3):26-29.
　　TAO Junxi. Irrigation system design[J]. Water conservancy science and technology and economy, 2014, 20(3):26-29.(in Chinese).
[6]黄凯漩. 基于B/S模式远程监控系统的研究与实现[D].南京:南京大学,2011.
[7]CELLATOGLU A, KARUPPANAN B. Remote sensing and control for establishing and maintaining digital irrigation [J].International journal of advanced information technology, 2012,2(1):11-24.
[8]ARIF C, MIZOGUCHI M, SETIAWAN B I, et al. Estimation of soil moisture in paddy field using Artificial Neural Networks[J]. International journal of advanced research in artificial intelligence, 2012, 1(1):1-21.
[9]李小龙, 彭美平. 基于OPNET的改进型Zigbee传感器网络仿真系统[J]. 江苏大学学报(自然科学版), 2012, 33(6):671-677.
　　LI Xiaolong, PENG Meiping. Network simulation system of improved zigbee sensor based on Opnet[J]. Journal of Jiangsu University(natural science edition), 2012, 33(6):671-677(in Chinese)
[10]邹同华, 马淑媛. 水泵变频能耗的试验研究[J]. 流体机械, 2011, 39(10):1-3,9.
　　ZHOU Tonghua, MA Shuyuan. Experimental research on energy consumption of water pump with variable frequency[J]. Fluid machinery, 2011, 39(10):1-3,9.(in Chinese)
[11]YANG X S. Swarm intelligence based algorithms:A critical analysis[J]. Evolutionary intelligence, 2014, 7(1):17-28.
[12]ZHANG Y, WANG S, JI G. A comprehensive survey on particle swarm optimization algorithm and its applications[J]. Mathematical problems in engineering, 2015(1):1-38.
[13]刘颖君, 郭伟越. 基于USS协议的变频调速系统的设计[J]. 机械工程师, 2013(7):85-87.
　　LIU Yingjun, GUO Weiyue. Design of the speed control system based on USS protocal[J]. Mechanical engineer, 2013(7):85-87.(in Chinese)
[14]DELIPETREV B, JONOSKI A, SOLOMATINE D P. Development of a web application for water resources based on open source software[J]. Computers & geosciences, 2014, 62(1):35-42.