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一种基于无线技术的光合速率测量方法

A method of measuring photosynthetic rate based on wireless technology

  • 摘要: 现有成熟光合速率测量系统,不能多点采样及远程实时监控。针对该不足,提出了一种基于ZigBee技术的作物光合速率远程测量系统。该系统主要由数据采集节点和接收节点两部分构成,数据采集节点通过ZigBee网络将数据传给接收节点,在数据接收端完成数据的处理和显示,选用ZigBee协议对本测量系统的节点进行组网编程,实现数据远程监测。进行传感器测量值准确性验证实验,得出本系统二氧化碳浓度、温度和湿度测量值与LI-6400平均测量偏差依次为-1.09%、-7.68%和0.64%,均在误差允许范围内,表明传感器能有效测量光合速率重要参数。进行光合速率测量实验,数据显示本系统适合光合速率低于5 μmol/(s·m2)的应用场合,且与LI-6400测量值存在近似线性关系(y=0.87827x+0.31641),说明测量值变化规律一致,满足光合速率测量要求。同时本系统具有低功耗,低成本,节点扩展灵活等优点,方便扩展应用。

     

    Abstract: Existing photosynthetic rate measurement system can not be applied to the multi-point and remotely real-time monitoring. To solve such a problem, a remote crop photosynthetic rate measurement system based on ZigBee is proposed in this study. The system consists of two parts, and they are the data acquisition nodes and the data receiving nodes. Data acquisition nodes pass data to the data receiving nodes by a ZigBee network, and then the data receiving nodes complete the data processing and displaying. The ZigBee protocol is chosen to network the different nodes in our measurement system to achieve the remote data monitoring. The experiments of calibrating and validating the sensors are carried out, and the measurement data of the sensors are proved accurate. There exists slight measurement errors between our system and LI-6400. The average errors of carbon dioxide concentration, temperature and humidity are -1.09%, -7.68% and 0.64%, respectively. The errors are in the permitted range, indicating that the sensors perform well in measuring major parameters of crop photosynthetic rate. It is showed that our measurement system can apply to those situations where photosynthetic rate is less than 5 μmol/(s·m2). An approximately linear relationship exists between the measurements of the system and LI-6400 (y=0.8783x+0.3164), which indicates that the patterns of variations of the two measurement systems are comparable. Therefore, the system meets the need for measuring the crop photosynthetic rate. Furthermore, the current system has a number of advantages, such as low power consumption, low running cost, and flexible node expansion.

     

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