IF 6.3 2区 工程技术 Q1 ENGINEERING, CHEMICAL Journal of water process engineering Pub Date : 2025-03-14 DOI:10.1016/j.jwpe.2025.107420
Wenting Li , Chunhua Yang , Zhenxiang Feng , Yonggang Li
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摘要

污水处理厂(WWTP)的精确数据采集对于有效减轻污染至关重要。然而,测量误差和不同的运行条件给数据可靠性带来了巨大挑战。本文提出了一种多模式数据调节方法来解决这些问题。首先,慢特征分析法(SFA)提取静态和动态特征,捕捉传统方法忽略的微妙过程变化。然后,采用两级聚类方法,其中自组织图(SOM)进行粗聚类以减少噪声,而 K-means 则细化聚类边界,以实现更精确的运行状况分类。最后,基于熵的稳健调节估算器可减轻测量噪声和异常值,从而提高不同运行状态下的准确性。经过 1 号基准仿真模型 (BSM1) 验证,所提出的方法优于最先进的技术,RMSE 和 MAPE 分别降低了至少 79.62 % 和 88.44 %。该框架大大提高了数据质量,为多模式工业流程提供了可扩展的解决方案。
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A multimode data reconciliation method for wastewater treatment processes
Accurate data acquisition in wastewater treatment plants (WWTPs) is crucial for effective pollution mitigation. However, measurement errors and varying operating conditions pose significant challenges to data reliability. This paper proposes a multimode data reconciliation method to address these issues. First, slow feature analysis (SFA) extracts static and dynamic features, capturing subtle process variations that conventional methods overlook. Next, a two-level clustering approach is applied, where self-organizing maps (SOM) perform coarse clustering to reduce noise, and K-means refines cluster boundaries for more precise operating condition classification. Finally, a Correntropy-based robust reconciliation estimator mitigates measurement noise and outliers, enhancing accuracy across diverse operating states. Validated on Benchmark Simulation Model No. 1 (BSM1), the proposed method outperforms state-of-the-art techniques, achieving RMSE and MAPE reductions of at least 79.62 % and 88.44 %, respectively. This framework significantly improves data quality and provides a scalable solution for multimode industrial processes.
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来源期刊
Journal of water process engineering
Journal of water process engineering Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
10.70
自引率
8.60%
发文量
846
审稿时长
24 days
期刊介绍: The Journal of Water Process Engineering aims to publish refereed, high-quality research papers with significant novelty and impact in all areas of the engineering of water and wastewater processing . Papers on advanced and novel treatment processes and technologies are particularly welcome. The Journal considers papers in areas such as nanotechnology and biotechnology applications in water, novel oxidation and separation processes, membrane processes (except those for desalination) , catalytic processes for the removal of water contaminants, sustainable processes, water reuse and recycling, water use and wastewater minimization, integrated/hybrid technology, process modeling of water treatment and novel treatment processes. Submissions on the subject of adsorbents, including standard measurements of adsorption kinetics and equilibrium will only be considered if there is a genuine case for novelty and contribution, for example highly novel, sustainable adsorbents and their use: papers on activated carbon-type materials derived from natural matter, or surfactant-modified clays and related minerals, would not fulfil this criterion. The Journal particularly welcomes contributions involving environmentally, economically and socially sustainable technology for water treatment, including those which are energy-efficient, with minimal or no chemical consumption, and capable of water recycling and reuse that minimizes the direct disposal of wastewater to the aquatic environment. Papers that describe novel ideas for solving issues related to water quality and availability are also welcome, as are those that show the transfer of techniques from other disciplines. The Journal will consider papers dealing with processes for various water matrices including drinking water (except desalination), domestic, urban and industrial wastewaters, in addition to their residues. It is expected that the journal will be of particular relevance to chemical and process engineers working in the field. The Journal welcomes Full Text papers, Short Communications, State-of-the-Art Reviews and Letters to Editors and Case Studies
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