日光温室光照强度测量系统研究
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国家自然科学基金(青年)资助项目(31301240)、土壤植物机器系统技术国家重点实验室开放课题基金资助项目(2014SKL03)和中央高校基本科研业务费专项资金资助项目(2015XD001)


Measurement System of Light Intensity in Solar Greenhouse
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    摘要:

    光照是影响作物生长与蒸腾的重要因素之一,实时监测并根据光照强度来指导灌溉不仅能促进作物生长还能起到节水节能的作用。设计了一种低成本、简单、实用的光照监测系统,使用硅光电池作为光敏测量元件, PIC16F876A单片机作为中央处理器,采用最小二乘法建立硅光电池输出电压和光照强度之间的模型,并通过试验进行系统性能验证。试验结果表明,系统在晴天、雨天、阴天和天气变化时的相对误差分别为:1.19%、7.19%、1.57%和6.15%,平均相对误差均低于10%。系统准确度随光照强度的增大而增大,在光照强度高于15 000 lx时系统测量值更准确,平均相对误差仅为1.41%,测量分辨率为0.1 lx。系统重复性误差小于0.63%,具有较好稳 定性。

    Abstract:

    Abstract: Light intensity is one of the indispensable factors for plant growth and transpiration. Real-time monitoring light intensity and guiding irrigation by it can stimulate plant growth, simultaneously, and play a role in saving water and energy. In this paper, a practical light intensity detection system was designed in a simple way with low-cost. The silicon solar panel was used as the solar radiation sensor, which could directly transfer the sun’s radiant energy into electric signals. The PIC16F876A MCU was used as the processor. The least square procedure was used to establish the model between the output voltage of silicon solar panel and the light intensity, then experiment was carried out to verify the performance of this system. The result showed that the average relative errors were around 1.19% in sunny days, around 1.57% in cloudy days, around 7.19% in rainy days, around 6.15% in changing weather, respectively. The average relative error was always below 10% in different weathers. The system accuracy was increasing while the light intensity increased. The system worked more precise when the light intensity was above 15 000 lx with the average error of 1.41%. The resolution was 0.1 lx. The system repeatability error was very low (<0.63%), which means the system was running in high stability. In summary, this system could work stably in the solar greenhouse in different weathers.

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王俊衡,李莉,穆永航,王海华,付强.日光温室光照强度测量系统研究[J].农业机械学报,2015,46(S1):194-200.

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  • 收稿日期:2015-10-28
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  • 在线发布日期: 2015-12-30
  • 出版日期: 2015-12-31