Review analyzes dust monitoring and removal strategies in industrial settings, highlighting optimization needs and challenges.
Industrial dust control is shifting from single-device removal toward integrated risk diagnosis, mechanism-guided collector selection, and system-level optimization under complex operating conditions. However, harsh field environments, variable dust properties, high-temperature and high-humidity operation, combustible metal dust, and long-term equipment degradation still limit the stable performance and safe application of existing technologies. This review systematically categorizes recent research into a unified analytical framework covering monitoring, removal mechanisms, dust collectors, and system optimization. First, traditional sampling, online sensing, and intelligent monitoring methods are compared in terms of real-time capability, accuracy, calibration demand, and field adaptability. Second, physical separation, interface modification, agglomeration enhancement, and special-condition safety mechanisms are synthesized to clarify how dust properties and operating environments affect removal behavior. Third, mainstream dust collectors and their optimization strategies are evaluated based on their efficiency, pressure drop, clogging, energy consumption, and safety risk. Finally, system-level layout, simulation control, safety protection, and lifecycle management are discussed. This review highlights that future industrial dust control should couple multi-source monitoring, mechanism-based equipment selection, adaptive operation, and safety-oriented system management rather than treating monitoring, collectors, and risk control as isolated tasks.
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Huang et al. (2026) studied this question.
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