ObjectiveDriven by the digital transformation wave, municipal wastewater treatment plants (WWTPs) are evolving from traditional “treatment” mode toward intelligent “smart management” mode. In China, activated sludge is commonly used in urban WWTP, highlighting an urgent need for digital modeling tools to achieve refined process control. BioWin, a simulation platform developed on ASM foundations, offers functionalities such as process design optimization, effluent quality prediction, and energy-saving analysis, demonstrating substantial potential for broader adoption. However, systematic studies on its practical applications remain limited.MethodsThis study presents a structured review of BioWin-related research over the past decade, encompassing both domestic and international literature. The general modeling workflow is delineated, and applications are categorized across key areas: engineering design, process diagnosis, operational optimization, and pollutant reduction simulation. Typical case examples are examined to illustrate application characteristics and identify method ological trends.ResultsBioWin delivers reliable and adaptable performance for precise simulation and process control, effectively supporting multi-dimensional technical management in WWTP. Its capabilities facilitate scenario analysis for design modifications, assessment of operational strategies, and evaluation of energy and resource savings. However, there are certain technical bottlenecks in model localization, input parameter acquisition, and long-term operation (such as influent characteristics and kinetic coefficients), as well as ensuring the long-term stability of the model under different operating mechanisms.ConclusionAs a key tool for promoting the intelligent management of WWTP, BioWin exhibits clear technical advantages and promising applicability. Future research should focus on model localization adaptation, deep integration with real-time monitoring systems, and improvement of user-friendliness to achieve dynamic model updating and online decision support; enhance the user interface and automation functions to improve the availability of operation personnel and engineers in WWTPs. Addressing these aspects will further broaden BioWin's application depth and scope in WWTP contexts, thereby advancing the digital and intelligent transformation of the sector.