| Cite this article: | 李 伟,金 梁,杜 丽.基于灰熵关联分析的温室智能调控系统研究[J].灌溉排水学报,0,():-. |
| LI Wei,JIN Liang,DU Li.基于灰熵关联分析的温室智能调控系统研究[J].灌溉排水学报,0,():-. |
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| The Study on Greenhouse Intelligent Control System based on Grey Entropy Correlation Analysis |
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LI Wei1, JIN Liang1, DU Li2
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1.Henan Polytechnic Institute;2.Henan Rose Germplasm Innovation and Cultivation Technology Engineering Research Center
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| Abstract: |
| 【Objective】In view of the problems of difficult control of environmental parameters and low efficiency of water and fertilizer utilization in traditional greenhouse, 【Method】a mathematical model for the evaluation of plant growth environment factors is established, and the grey entropy weight theory is introduced. The influencing factors are regarded as multiple attributes of uncertain decision-making, and the approach degree to the ideal situation is calculated. Finally, a greenhouse environment monitoring system is designed by wireless sensor network system on chip CC2530, sensors and Internet of things, to allocate the temperature, humidity, light and other factors are close to the optimal value, so as to allocate the optimal growth environment for plants. 【Result】The field test of greenhouse production environment shows that the packet loss rate of wireless network communication does not exceed 1%, which meets the requirements of real-time environmental information collection and stable transmission, and the survival rate of seedling plants is increased by 3.1%, while the water saving rate is about 14%. 【Conclusion】The system is stable, reliable and effective compared with the traditional method of manually adjusting environmental parameters in the greenhouse, and provides theoretical support and practical guidance for improving the survival rate of greenhouse seedlings and reducing water waste. |
| Key words: intelligent control system; seedling greenhouse; multiple attribute decision making; grey entropy; Internet of things |
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