Intelligent device for measuring water level in irrigation channels of constant section

Author:

Ikramov Nazir,Kasimov Farkhod,Mukhamadjonov Akhmadjon,Majidov Takhir

Abstract

The article discusses the problems of online monitoring of water metering in the irrigation systems of Central Asia, in particular the Republic of Uzbekistan, and identifies existing problems. The development of intelligent level measurement devices is aimed at solving these problems. A technique has been created for developing an intelligent level measurement device capable of operating stably even under various disturbing influences, considering abrupt climate changes. Based on this method, an intelligent device has been developed that allows online measurement of the water flow and its amount flowing in the channel based on measuring the water level in channels with a constant cross-sectional area. The device has the function of automatic selection of alternative networks for the exchange of information, such as GSM or Lora, depending on the conditions of information transmission over long distances. The device also includes the function of autonomous charging using solar energy in places with no power supply. The industrial sample of the device was tested and certified in laboratory and field conditions and at the National Certification Center of the Republic of Uzbekistan, and permission was obtained for its mass production. Because local manufacturers produce this device, it has advantages over its imported counterpart in terms of low cost, the availability of customization options, and easy adaptation to difficult conditions. In exchange for applying a smart filtering algorithm, the stabilization of received signals is improved by 74.2% due to intelligent filtering algorithms in a smart device. The reliability of information decreased by 8.2% in total. This result is less than the 9.5% target for information reliability.

Publisher

EDP Sciences

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3