摘要
以STM32F103VB处理器和甲烷气体传感器(Dynament MSHia-HC)为核心,设计了一种基于GPRS无线远程通信的水稻田甲烷气体在线监测系统。首先,介绍了监测系统的总体设计思路与核心结构,包括系统的硬件系统结构与软件系统设计;其次,针对甲烷传感器进行了标定、稳定性实验,在此基础上,建立了甲烷浓度预测模型;最后,选取安徽省农科院水稻实验田作为对象,连续监测了144小时的甲烷排放情况,甲烷排放速率呈周期性变化,变化周期为24小时(1天),甲烷排放速率与土壤温度呈正相关,144小时的甲烷气体平均排放速率为2.935mg·m^(-2)·h^(-1)。实验结果表明:系统能够实时监测水稻田甲烷气体单位面积的排放通量及排放速率情况,为水稻田温室气体排放监测与控制提供理论基础与数据支持。
In this paper, a kind of on-line monitoring CH4 system in paddy field is proposed. It is mainly based on STM32F103VB processor and methane gas Sensor (MSHia-HC Dynament). Firstly, the general design thought and core structure of the monitoring system are introduced in the paper, including the hardware structure and software sys- tem. then, the accuracy and stability of methane sensor are tested. And on these basis, a prediction model of methane concentration is established. Finally, monitoring experiments is carried out in the Anhui Academy of Agricultural Sci- ences rice experimental field. The experiment has been lasted for 144 hours. It shows that methane emission rate chan- ges periodicaIly. The change cycle is 24 hours (1 days), and the methane emission rate is correlated positively with soil temperature, the methane average emission rate for 144 hours is 2. 935mg·m^-2·h^-1. The experimental results show that the system can real-time monitor the emission flux and emission rate of methane gas, and it provides the the- oretical basis and data support for the monitoring and control of greenhouse gas emissions in paddy fields.
出处
《激光杂志》
北大核心
2017年第6期25-29,共5页
Laser Journal
基金
国家自然科学基金(31401285)
(61475163)
安徽省自然科学基(1508085QC65)
(1608085QF127)