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全局水量模型在胶东调水工程冰期运行中的应用
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1.山东省水网运行调度中心,山东 济南 250100 ;2.山东省水网运行调度中心潍坊分中心,山东 潍坊 261300 ;3.山东省水网运行调度中心鲁北分中心,山东 滨州 256500

作者简介:

尹晓东(1989—),男,工程师

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TV85

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Application of Global Water Volume Model in Ice-period Operation of Water Diversion to Jiaodong Area Project
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1. Water Grid Operation and Dispatching Center of Shandong Province, Jinan, Shandong 250100 , China ;2. Weifang Branch, Water Grid Operation and Dispatching Center of Shandong Province, Weifang, Shandong 261300 , China ;3. Lubei Branch, Water Grid Operation and Dispatching Center of Shandong Province, Binzhou, Shandong 256500 , China

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    摘要:

    胶东调水工程冰期运行面临不同程度的结冰问题, 在气温降低前确保渠道形成稳定冰盖是冰期安全运行的关键。与之前采用分段、多次调控的传统调整方式相比,数字孪生胶东调水工程先行先试项目中研发的全局水量智慧调配模型,通过模型推演生成调度方案,可一次性精准完成调整。本文通过全局水量调配模型在胶东调水工程冰期运行中的应用,对调整方案进行了总结分析,发现与传统调整方式比较,模型调整较快速、准确,但是由于渠道断面要素变化、调度指令执行不到位、结冰状态下渠道过水能力下降等原因,部分调控站点调整结果与预期存在较大偏差。通过比较分析,提出了合理化建议,对模型的优化提升以及数字孪生技术的应用推广具有一定借鉴意义。

    Abstract:

    The Water Diversion to Jiaodong Area Project faces icing problems of varying degrees during ice-period operation. Ensuring the formation of a stable ice cover in the channel before temperature drop is the key to safe operation in ice period. Different from the traditional segmented and repeated regulation mode adopted in the past, the holistic intelligent water volume allocation model developed in the pilot project of digital twin of the Project can generate scheduling schemes through model deduction and complete regulation accurately at one time. Based on the application of the holistic water volume allocation model in the ice-period operation of the Project, this paper summarizes and analyzes the regulation schemes. It is found that compared with the traditional mode, the model-based regulation is faster and more accurate. However, due to changes in channel section parameters, inadequate implementation of scheduling instructions, and reduced water diversion capacity of channels under icing conditions, the regulation results of some control stations deviate greatly from expectations. Rational suggestions are put forward through comparative analysis, which can provide reference for model optimization and the popularization and application of digital twin technology.

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  • 收稿日期:2025-10-13
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  • 在线发布日期: 2026-07-24
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