基于现代遥感观测方法的土壤优先流模型的建立

2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2022-11-10 DOI:10.1109/I-SMAC55078.2022.9987286

Yan Liu

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引用次数: 0

摘要

本文研究了基于现代遥感观测方法的土壤优先流模型的建立。它是目前世界上先进的过程自动化系统开放解决方案，是行业新一代开放系统。因此，本文提出了新颖性的两个方面。(1)小卫星可以使用多种形式的运载火箭和运载火箭，从准备发射到激活只需几天时间。该技术将应用于数据采集过程中。(2)汇聚节点的功能是负责WSN中信息的汇聚和转发。利用该传感器模型进行信息传输。在此基础上，设计并实现了土壤优先流模型。通过仿真验证了所提框架的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Establishment of Soil Preferential Flow Model based on Modern Remote Sensor Observation Methods

Establishment of the soil preferential flow model based on modern remote sensor observation methods is studied in this study. It is currently the world’s advanced open solution for the process automation systems and a new generation of open system for the industry. Hence, this paper proposes the 2 aspects of novelty. (1) Small satellites can use various forms of the delivery and launch vehicles, and it only takes a few days from preparation to launch and even activation. This technology will be applied in the data collection process. (2) The function of the sink node is responsible for the convergence and forwarding of information in the WSN. This novel sensor model is used to perform information transmission. Besides these, the soil preferential flow model is designed and implemented. The simulation is conducted for the verification of the proposed framework.

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来源期刊

2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

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