基于小麦养分快速诊断的施肥决策与控制系统设计
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S512.1

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安徽省科技重大专项计划项目(16030701102);安徽高校自然科学研究重点项目(KJ2016A173);安徽科技学院校级质量工程项目(x2016058)


Design of Wheat Fertilization Decision-Making and Control System Based on Quick Diagnosis
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    摘要:

    为实现小麦关键生育期的精准变量施肥,本文在利用主动遥感光谱仪GreenSeeker对小麦氮素营养诊断的基础上,通过构建的定量推荐施肥模型开发了小麦施肥专家决策系统和远程精量控制系统。结果表明:建立的施肥推荐模型为变量追肥提供了理论依据;施肥决策和变量控制系统的设计能够将小麦氮营养诊断、施肥推荐和施肥自动控制等功能有效地集成;基于GSM网络的无线传输、电磁阀远程控制以及自动配料施肥装置的设计、运行和测试,使施肥决策系统响应时间和施肥控制精度分别达到平均3.6 s(≤5 s)和3.62%(<5.0%),满足了远程变量控制施肥的精度要求。基于小麦养分快速诊断的施肥决策与控制系统的设计,实现了小麦实时诊断、追肥智能推荐和远程变量施肥一体化的精准施肥管理。

    Abstract:

    In order to achieve the accurate variable fertilization during the critical growth period of wheat, the active remote sensing spectrometer named GreenSeeker was used based on nitrogen nutrition diagnosis for wheat, then the fertilization expert decision system and precision fertilization control system of wheat was explored by established the quantitative recommend fertilization model. The results indicated that the established fertilization recommendation model provided the theoretical evidences for variable fertilizer. The design for fertilizer recommendation system and variable control system could integrate the wheat nitrogen nutrition diagnosis, fertilization recommendation as well as the fertilization control with automatic functions effectively. On the basis of the design, running, and test of the GSM network wireless transmission and the electromagnetic valve remote control as well as the automatic batching and fertilization device, which made the response time of fertilization decision-making system and the fertilizer control accuracy reached to average 3.6 s(≤5 s) and 3.62%(<5.0%)separately, therefore, the accuracy requirement for the remote variable controlled fertilization was achieved. Through the design of wheat fertilization decision-making and control system based on quick diagnosis, the real-time diagnosis and the intelligent recommendation as well as the remote variable fertilization of wheat was achieved.

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李新伟,田敏,肖新.基于小麦养分快速诊断的施肥决策与控制系统设计[J].东北农业科学,2019,44(2):23-27.

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  • 收稿日期:2018-10-28
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  • 在线发布日期: 2024-12-04
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