| 引用本文: | 徐达梁,梁恒.人工智能驱动的膜滤净水技术研究进展[J].哈尔滨工业大学学报,2026,58(6):150.DOI:10.11918/202511104 |
| XU Daliang,LIANG Heng.Research progress on artificial intelligence-driven membrane filtration technology for water treatment[J].Journal of Harbin Institute of Technology,2026,58(6):150.DOI:10.11918/202511104 |
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| 摘要: |
| 膜技术具有高效分离、操作简便、集成化高等优势,是推动饮用水提质增效的关键技术。然而,膜技术仍受限于膜材料本征性能不足、膜单元动态调控困难、膜系统运维复杂的问题,制约了其实际工程应用的效能。人工智能通过数据与智能分析的高度耦合,可赋能材料的逆向设计、工艺的精准调控与系统的智能调度。推动人工智能与膜技术的深度融合,对实现膜技术的跨越式发展具有重要意义。本研究综述了人工智能在膜材料、膜单元与膜系统3个层面中的耦合特点与发展路径,重点探讨了人工智能在高性能膜材料设计、工艺节能降耗与水质安全保障、全流程系统评估与多目标智慧化管控的应用潜力。目前,人工智能在膜滤净水技术中的应用仍面临关键数据稀疏、模型预测精度与泛化能力不足、集成与部署复杂度高等问题,亟需构建跨场景的标准化数据集、开发数据机制融合的强化模型、建立模块化与轻量化的边缘智能框架,以期为人工智能驱动的膜滤净水技术研究与应用提供理论与技术参考。 |
| 关键词: 人工智能 膜材料 膜单元 膜系统 净水技术 |
| DOI：10.11918/202511104 |
| 分类号:TU991 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(52570002) |
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| Research progress on artificial intelligence-driven membrane filtration technology for water treatment |
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XU Daliang,LIANG Heng
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(State Key Laboratory of Urban-rural Water Resources and Environment (Harbin Institute of Technology), Harbin 150090, China)
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| Abstract: |
| Membrane technology, possessing advantages such as high-efficiency separation, simple operation, and high integration, is a key technology for promoting the quality improvement and efficiency enhancement of drinking water. However, membrane technology is still limited by the problems of insufficient intrinsic performance of membrane materials, difficulty in dynamic regulation of membrane units, and complex operation and maintenance of membrane systems, which constrain the effectiveness of its practical engineering applications. Through the high coupling of data and intelligent analysis, artificial intelligence can empower reverse design of materials, precise regulation of processes, and intelligent scheduling of systems. Promoting the deep integration of artificial intelligence and membrane technology is of great significance for achieving the leapfrog development of membrane technology. This paper reviewed the coupling characteristics and development pathways of artificial intelligence at the three levels of membrane material, membrane unit, and membrane system and emphatically discussed the application potential of artificial intelligence in high-performance membrane material design, process energy conservation and consumption reduction and water quality safety assurance, and whole-process system evaluation and multi-objective intelligent management and control. At present, the application of artificial intelligence in membrane filtration technology for water treatment still faces problems such as sparse key data, insufficient model prediction accuracy and generalization ability, and high integration and deployment complexity. It is urgent to construct cross-scenario standardized datasets, develop data-mechanism fusion reinforcement models, and establish modular and lightweight edge intelligence frameworks, so as to provide theoretical and technical references for the research and application of artificial intelligence-driven membrane filtration technology for water treatment. |
| Key words: artificial intelligence membrane material membrane unit membrane system water treatment technology |
