华能澜沧江流域级智慧物资管理系统的设计与实现
作者:
作者单位:

(1.华能澜沧江水电股份有限公司托巴水电工程建设管理局,云南 迪庆674608;2.武汉英思工程科技股份有限公司,湖北 武汉430061 )

作者简介:

贺华清(1973—),男,正高级经济师,主要从事水利水电工程建设管理研究。E-mail:13987095919@139.com

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中图分类号:

F251

基金项目:


The design and implementation of Huaneng’s Lancang River Basin-Level smart material management system
Author:
Affiliation:

(1.Tuoba Hydroelectric Engineering Construction Management Bureau of Huaneng Lancang River Hydropower Inc., Diqing 674608, China;2.Wuhan Ins Engineering Technology, Co., Ltd., Wuhan, 430061, China)

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    摘要:

    运用物联网、大数据、AI识别等技术解决流域级水电工程建设期物资管理信息化的问题:在单个水电站集成运用数字地磅、智能拌合厂、智能砂石骨料场等技术实现统供物资采集的智能化;通过多业务整合,实现水电站需求计划、对账结算、统材核销的自动化计算;运用大数据技术实现流域级水电工程统供物资智能“联调联供”。系统自动化、智能化程度高,可有效提高物资管理效率,并在保证物资供应的同时有效降低物资占压成本。

    Abstract:

    By utilizing technologies such as the Internet of Things, big data, and AI recognition, the issue of material management informatization during the construction phase of basin-level hydropower projects is addressed. Firstly, technologies such as digital truck scales, intelligent mixing plants, and intelligent sand and gravel aggregate yards are integrated into individual hydropower stations to achieve intelligent collection of centrally supplied materials. Secondly, through the integration of multiple business processes, automated calculation is achieved for hydropower station demand planning, reconciliation and settlement, and centralized material verification and cancellation. Finally, big data technology is employed to enable intelligent “coordinated dispatch and supply” of centrally supplied materials for basin-level hydropower projects. The system boasts a high level of automation and intelligence, effectively enhancing material management efficiency while ensuring material supply and reducing material occupancy costs

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贺华清,王江文,周玲玲,等.华能澜沧江流域级智慧物资管理系统的设计与实现[J].水利水电科技进展,2024,44(z1):147-151.(HE Huaqing, WANG Jiangwen, ZHOU Lingling, et al. The design and implementation of Huaneng’s Lancang River Basin-Level smart material management system[J]. Advances in Science and Technology of Water Resources,2024,44(z1):147-151.(in Chinese))

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  • 收稿日期:2024-09-24
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  • 在线发布日期: 2025-04-06
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