基于改进组合赋权法和云模型的泵站运行状态评价方法
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(1.天津大学水利工程智能建设与运维全国重点实验室;2.中水淮河规划设计研究有限公司 )

作者简介:

曾涛(2001—),男,硕士研究生,主要从事智慧水利和水工结构研究。E-mail:2496175976@qq.com

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基金项目:

水利部重大科技项目(SKS-2022133);天津大学自主创新基金项目(2023XJD-0065)


An evaluation method for pump station operation status based on improved combined weighting method and cloud model
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(1.StateKey Laboratory of Hydraulic Engineering Intelligent Construction and Operation, Tianjin University; 2.China Water Huaihe Planning and Design Research Co., Ltd.)

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    摘要:

    针对泵站运行状态评价方法缺乏、传统的赋权及评价方法不确定性强、结果失真等问题,提出了一种基于改进组合赋权法和云模型的泵站运行状态评价方法。通过构建包含安全状态监测、技术性能和运行经济性3个准则的评价指标体系,利用模糊AHP-DEMATEL确定主观权重,基于泵站历史运行数据采用CRITIC法确定客观权重,二者结合得到组合权重,最终采用云模型进行评价。实例验证结果表明,该方法能有效处理评价中的不确定性和模糊性,可用于数字孪生泵站系统,实现监测、评估和预警一体化管理。

    Abstract:

    To address the lack of effective methods for evaluating the operation status of pump stations, as well as the high uncertainty and result distortion associated with traditional weighting and evaluation approaches, an evaluation method for pump station operation status based on improved combined weighting method and cloud model is proposed. An evaluation indicator system is constructed, consisting of three criteria: safety status monitoring, technical performance, and operational economy. The subjective weights are determined using the fuzzy AHP-DEMATEL method, while the objective weights are obtained through the CRITIC method based on historical operation data of the pump station. The combined weights are then derived by integrating the subjective and objective weights, and the operation status of the pump station is finally evaluated through the cloud model. Application examples verify that the proposed method can effectively handle uncertainty and fuzziness in the evaluation process. It can be applied to digital twin pump station systems, enabling integrated management of monitoring, evaluation, and early warning.

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曾涛,秦钟建,刘良,等.基于改进组合赋权法和云模型的泵站运行状态评价方法[J].水利水电科技进展,2026,46(1):90-97.(Zeng Tao, Qin Zhongjian, Liu Liang, et al. An evaluation method for pump station operation status based on improved combined weighting method and cloud model[J]. Advances in Science and Technology of Water Resources,2026,46(1):90-97.(in Chinese))

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  • 收稿日期:2024-09-29
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  • 在线发布日期: 2026-02-03
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