摘要
新疆具有典型的干旱气候特征,疆内各地区经济基础薄弱、水利建设智能化程度不高,农业灌溉水资源利用率只有40%左右.吉木乃县作为新疆最为典型的干旱缺水县,近年来因全球气候变暖形势加剧,其境内唯一的水源地—木斯岛冰山的冰川雪线不断后退,情况不容乐观.传统水资源分配与管理方式较为落后,已不能解决当前吉木乃县所面临的水利管理困境,其管理效率低,产生的效益差,已不符合当前的经济发展形势.而现代化的智慧水利利用信息技术、网络技术、大数据和人工智能,使得水利管理智能化、管理效率大大提高.本文以新疆维吾尔自治区阿勒泰地区吉木乃县智慧水利综合管理平台建设为依据,从水资源管理、多水源仿真联动、防汛抗旱、农村饮水安全、水库大坝安全、闸门远控和灌溉管理7方面展示智慧化信息综合平台在水利管理中的建设细节,为推动智慧水利体系的构建提供了有效支撑.
Xinjiang is an arid region with a typical dry climate. The economic foundation is relatively weak and the degree of water conservancy intelligence is not high. The utilization rate of water resources for agricultural irrigation is only about 40%. Jeminay County is the most typical water-deficient county in Xinjiang. The snow line of Muz Taw Glacier, the only water source in its territory, has constantly retreating due to global warming, leaving an urgent situation.Traditional water allocation and management methods are relatively backward, with high labor intensity, low efficiency,and poor benefit. It can no longer solve the current dilemma about water resource management in Jeminay County, nor adapt to the current economic situation. Modern smart water conservancy has high efficiency by leveraging information technology, network technology, big data, and artificial intelligence. Based on the smart water conservancy management platform of Jeminay County in Xinjiang, this study demonstrates the construction details of the smart information integration platform from seven aspects and provides strong support for promoting the construction of a smart water conservancy system.
作者
林雨萌
陈炳才
马致明
宁芊
肖延亭
罗朝传
杨岚斐
LIN Yu-Meng;CHEN Bing-Cai;MA Zhi-Ming;NING Qian;XIAO Yan-Ting;LUO Zhao-Chuan;YANG Lan-Fei(College of Computer Science and Technology,Xinjiang Normal University,Urumqi 830054,China;Joint Laboratory of Water Conservancy Informatization,School of Electronics and Information,Sichuan University,Chengdu 610065,China)
出处
《计算机系统应用》
2021年第10期86-94,共9页
Computer Systems & Applications
基金
国家自然科学基金(61961040,61771089)
新疆维吾尔自治区区域协同创新专项(2020E0247,2019E0214)
新疆维吾尔自治区“天山青年计划”(2018Q024)。
关键词
水利管理
智慧水利
人工智能
互联网
大数据
water management
smart water convergency
artificial intelligence
Internet
big data