工业园区废水处理体系是减少废水污染物和提高园区水环境质量的重要设施。自然条件波动、废水进水冲击、污染物成分多样性和废水处理技术的复杂性导致工业园区废水处理系统的不确定性和复杂性。这些不确定性导致工业园区出水水质和运行成本的波动，以及后续受纳水体的环境生态风险。近年来，人工智能技术已成为降低废水处理复杂性和系统风险性的有力工具。通过对人工智能技术在废水处理中的应用进行文献计量分析，系统总结人工智能技术在工业园区废水处理监控、污染物去除、节能、管理和废水回用等5个方面的应用，并对典型人工智能技术适宜的应用场景、预测精度和应用局限性进行总结。最后，展望了在废水处理厂中利用人工智能技术的研究前沿和潜在方向，提出了人工智能在解决复杂实际应用中的污染物去除、成本降低、废水重复利用和管理等方面的现存难点。

Industrial park wastewater treatment is an important step in reducing pollutants and improve the quality of water environment. Natural conditions, influent impact, diversity of pollutant composition and complexity of wastewater treatment technology lead to uncertainty and change of wastewater treatment system in industrial parks. These uncertainties lead to fluctuations in effluent quality and operating costs in industrial parks, as well as environmental risks in receiving water bodies. Artificial intelligence has become a powerful tool to reduce the complexity and risks of wastewater treatment. Through a large-scale bibliometric analysis of the application of artificial intelligence technology in wastewater treatment, this paper systematically reviews the application of artificial intelligence technology in five aspects of industrial park wastewater treatment, such as monitoring, pollutant removal, energy saving, management and wastewater reuse, and summarized the appropriate application scenarios, prediction accuracy and application limitations of typical artificial intelligence technology. Finally, we discuss potential future directions for utilizing the new research frontier of artificial intelligence in wastewater treatment plants, while addressing challenges of pollutant removal, cost reduction, water reuse and management in complex practical applications.

X703.1

国家自然科学基金(42207022)