智慧填埋技术体系构建与关键技术研究进展

Development of Smart Landfill Technological Framework and Research Progress on Key Technologies

  • 摘要: 填埋作为固体废物处置的末端方式,因适用范围广、成本较低,在我国固废治理体系中长期占据重要地位。然而,面向填埋场工况复杂、空间隐蔽等特征,传统填埋技术难以支撑填埋行业高质量发展和风险有效防控。对此,本文基于理论分析和文献综述,系统开展了传统填埋技术缺陷识别、智慧填埋技术体系构建及关键技术进展的研究。首先识别了填埋场“复杂不可控+隐蔽不可测”的本质特征,深入探讨了当前填埋技术在自动化、智能化、精细化水平方面的不足,以及由此导致的填埋设施运行管理低效、材料劣化严重、环境风险高等现实问题。进而,提出了以“资源化导向、精细化管控、智慧化运行”为核心理念,融合全面感知、数字孪生和人工智能等技术的智慧填埋架构体系,该体系由“感知-诊断-调控”三级架构组成。在此基础上,系统梳理了智慧填埋在感知、诊断、调控三个方面的关键技术进展,包括构建多维时空精细刻画以及全过程可视化追溯与智能化演进的物质流全链条灵敏感知技术,基于数据同化与多源传感融合的工程性态和风险诊断预测技术,以及基于材料性能退化诊断的智能运维与长效服役调控技术。研究发现,当前智慧填埋技术还存在系统性耦合不足、工程适配性欠缺和经济标准双重掣肘等问题,建议未来加快构建“技术-经济-标准”三角支撑体系,推动填埋设施从“被动处置”向“智慧托底”转型,为“无废城市”建设提供坚实支撑。

     

    Abstract: Landfilling, as the terminal approach for solid waste disposal, has long held a dominant position in China´s waste management system due to its wide applicability and relatively low cost. However, given the complex operating conditions and spatial invisibility of landfills, traditional landfill technologies are increasingly unable to meet the high-quality development and the effective control of environmental risks. In response, this study, based on theoretical analysis and a comprehensive literature review, systematically investigates the limitations of conventional landfill technologies, the construction of a smart landfill technological framework, and recent advances in key technologies. First, the intrinsic characteristics of landfills, namely their complex and uncontrollable nature and invisible and unmeasurable conditions, are identified, and the limitations of current technologies in automation, intelligence, and refinement are analysed. These shortcomings lead to inefficient operation and management, severe material degradation, and elevated environmental risks. Building on this understanding, a smart landfill framework is proposed, guided by the principles of ‘resource orientation, refined control, and intelligent operation’, and integrating comprehensive sensing, digital twin, and artificial intelligence technologies. The framework consists of a three-level architecture of ‘perception-diagnosis-regulation’. On this basis, the study systematically reviews key technological advances in smart landfilling across perception, diagnosis, and regulation, including: multi-dimensional spatiotemporal fine characterization; full-chain material flow sensing for process visualization and intelligent evolution; engineering behavior and risk diagnosis technologies based on data assimilation and multi-sensor fusion; and intelligent operation and long-term service regulation enabled by material degradation diagnostics. Finally, the study emphasizes that current smart landfill technologies still face challenges such as insufficient system integration, limited engineering adaptability, and constraints imposed by economic and regulatory standards. Future work should focus on establishing a ‘technology-economy-standards’ triangular support system to accelerate the transformation of landfills from ‘passive disposal’ to ‘smart safeguard’, thereby providing robust support for the construction of ‘zero-waste cities’.

     

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