摘要
论文针对大面积湖泊养殖水域的水质监测,应用无线传感器网络监测系统实时,可大面积布置的监测特点,研究并完成了多参数和可持续实时自供电无线传感器网络节点的主要关键技术。
无线传感器网络监测系统节点分为传感器监测节点和网关节点,论文对两个节点进行硬件设计以及接口驱动设计,并对接口驱动进行仿真测试,结果表明接口驱动芯片可以正常工作,数据可以实时接收与转换;
采用混沌检测强噪声下微弱信号的算法,研究提出用新的双混沌振子之间相互约束来检测噪声中的弱信号,并对新的检测方法进行了仿真验证与分析,新的算法抗噪声性能更加好,而且能够估计信号频率,提高了节点在恶劣环境下监测微弱水质信号的性能;
研究新的光伏电源代替干电池成为无线传感器网络监测系统传感器监测节点的电源,并对所设计的电源进行了仿真分析以及PCB板的制作。新的光伏电源能够输出稳定的节点所需电压,可以使传感器节点在大面积水域中长时间稳定工作,增强了节点的实用性;
研究用新的风光互补电源代替大的干电池或蓄电池用于相对较大能耗的网关节点,对新电源进行了设计与仿真分析。风光互补电源使网关节点在大面积的外部环境中自行供电,提高了自动化检测的效率与节点作用的范围,减少了人为作用成本。
综上所述:应用以上关键技术,能够实现水质监测无线传感器网络节点的多参数弱信号监测和自供电工作,实时性好,可以长期稳定工作,适合应用于大面积水域监测。
For the application of water quality monitoring in large lake aquaculture area,and the application of wireless sensor network monitoring system for real-time and large area layout monitoring features,the paper studied and completed key technologies of multi-parameters and sustainable real-time wireless sensor network nodes.
Designed sensor monitoring nodes and gateway nodes for the wireless network, and designed the hardware and interface driven for the two nodes. Then, make the simulation test about the interface-driven. The results show that the driven chip can work properly and the data can be real-time reception and conversion.
Detected weak signal in strong noise background based on chaotic algorithm, and put forward a new method to detect weak signal with dual mutual-constraint chaotic oscillator, and the method is validated by simulation and analysis, which shows that the anti-noise performance ability of the new algorithm is better, and can estimate the signal frequency, improve the node capability of monitoring weak water quality signal in harsh environment.
Study of new solar power instead of dry battery for monitoring sensor node power in wireless sensor network monitoring system, and simulated and analyzed the designed power and make the PCB board. New solar power can supply a stable voltage that required, and can make the sensor nodes steady worked in large area of water for a long time, which enhance the practicability of nodes.
Study of new scenery complementary power supply instead of the dry battery or accumulator for gateway node with large energy consumption, designed and simulated the new power. Scenery complementary power supply to the gateway node in a large area of the external environment of power, improving the automation testing efficiency and node action range, reduces the artificial cost.
According to the above, with these key technologies, we can achieve water quality through monitoring multi-parameters weak signal of wireless sensor network nodes and self power supply, which is suitable for water monitoring in large area.
引文
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