Industrial Multi-Pollutant Control and Holographic Correspondence Integration Based on V-Ce-Mo-Ti/PTFE Catalytic Filter Membranes in the Internet of Things Architecture

Traditional polytetrafluoroethylene (PTFE) catalytic filter membranes used in industrial pollution control often exhibit uneven distribution of active components due to their hydrophobic nature. This study proposes a pollution control strategy that integrates Internet of Things (IoT) smart management, material innovation, and holographic correspondence. The system employs a multimodal sensor network consisting of high-temperature mass spectrometers, electrochemical gas sensors, differential pressure transmitters, and temperature–humidity sensing modules. These sensors continuously monitor key parameters, including pollutant concentrations (particulate matter, nitrogen oxides, and volatile organic compounds), membrane flux, system pressure drop, and environmental conditions. The network captures dynamic changes in flue gas composition and membrane performance, while edge computing nodes handle preliminary data processing and analysis. A Dynamic Wetting–Confinement Anchoring (DWCA) strategy is introduced, using a nonionic surfactant to regulate interfacial tension and promote uniform sol penetration into PTFE membrane pores. This study further introduces holographic correspondence technology to create virtual replicas of physical systems, enabling real-time mapping and visualization of multidimensional information such as the operational status of catalytic filtration membranes, changes in flue gas composition, system pressure drop, humidity, temperature, etc. In addition, a Gated Recurrent Graph Network is applied to optimize sol infiltration and calcination parameters, thereby improving the catalytic layer’s specific surface area and mass transfer efficiency. Built on an IoT architecture, the system features a closed-loop feedback control mechanism. When pollutant breakthrough or increased pressure drop is detected, it automatically adjusts back-blowing frequency, redistributes airflow, and fine-tunes operating parameters in real time. Under actual industrial conditions (300 °C, RH = 60%), the IoT-enabled DWCA strategy reduced the PTFE membrane’s water contact angle from 138° to 22°, achieving a water flux of 6050 L m⁻² h⁻¹ at 0.1 MPa and increasing the catalytic layer’s specific surface area to 175 m² g⁻¹. Field tests showed removal efficiencies of 98.7% for PM₂.₅, 95.3% for NOₓ, and 91.6% for toluene. After 500 hours of continuous operation, performance degradation remained below 5%. Under actual industrial conditions, the DWCA strategy empowered by the IoT and supported by holographic correspondence significantly improves the efficiency and stability of industrial flue gas treatment systems, and significantly enhances the efficiency of industrial flue gas treatment systems.