Methodological Solutions for the IoT Concept for Biogas Production Using the Local Resource

V. Lysenko, S. Shvorov, O. Opryshko, D. Komarchuk, V. Lukin, N. Pasichnyk
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引用次数: 2

Abstract

The issue of providing biogas reactors with raw materials of vegetable origin is considered. It is proposed to organize the collection of raw materials on the basis of the concept of the IoT, which combines technical solutions for obtaining information and strategies for its processing. Innovation in maximizing profits is the use of raw materials for biogas reactors of grain crops, the further cultivation of which is economically inappropriate. The predicted low quality of cereals is primarily due to a shortage of nitrogen feed, the assessment of which is proposed to be carried out with the help of UAV. The questions were concerning the metrological support of the sensory equipment with the use of cameras with standard and infra-red lenses are considered. A laboratory evaluation of spectral channels was performed on an example of a camera GoPro HERO4. Prospective indexes for cultivating crops are presented, for example, corn and continuous seeding on wheat. The expediency of using in the construction of stress indices for UAV integral indexes that takes into account both spectral and dimensional parameters of plantations of grain crops is proved. Separate consideration is given to the choice of the optimal routes for combines for harvesting plantings in fields based on electronic maps obtained with the use of UAVs. The technique of determination of the amount of transport equipment for providing a harvesting campaign is proposed.
利用本地资源生产沼气的物联网概念的方法论解决方案
研究了以植物为原料提供沼气反应器的问题。提出以物联网概念为基础,将获取信息的技术解决方案与处理信息的策略相结合,组织对原材料的采集。利润最大化的创新是将原料用于粮食作物的沼气反应器,这种作物的进一步种植在经济上是不合适的。预测的谷物低品质主要是由于氮饲料短缺,建议利用无人机对其进行评估。考虑了使用标准镜头和红外镜头的摄像机对传感设备的计量支持问题。以GoPro HERO4相机为例,对光谱通道进行了实验室评价。提出了玉米和小麦连播等农作物的发展前景指标。证明了将粮食作物人工林的光谱参数和量纲参数同时考虑在内的积分指标用于无人机应力指标构建的方便性。根据使用无人机获得的电子地图,对联合收割机收割作物的最佳路线选择进行了单独考虑。提出了确定提供采收活动的运输设备数量的技术。
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