Waste hydraulic oil, categorized as waste mineral oil, is listed in the National Hazardous Waste List of China, and improper disposal can cause serious pollution to soil and water environments. As a low-consumable purification technology, electrostatic oil purification enables efficient regeneration and resource-oriented treatment of waste hydraulic oil. Focusing on the electrostatic purification process, this study analyzes key influencing factors including electric field intensity, electrode structure, purification time, and flow rate based on theoretical models, and explains the migration process and action mechanism of pollutant particles under coupled electric-field and flow-field conditions. COMSOL Multiphysics is used for modeling and simulation to compare oil-purification device schemes with different electrode combinations. The results show that the wire-cylinder electrode combined with a roll-type dust collector satisfies the requirements of high-efficiency pollutant adsorption and reasonable electric-field gradient distribution. A purification device with a conical bottom enhances fluid velocity and energy transfer, facilitating rapid pollutant distribution and concentrated deposition. The findings provide technical references for electrostatic regeneration of waste hydraulic oil and treatment of similar pollutants.
D. Liu, X. Liu, J. Cao et al.· Advanced Electromagnetics· 0 citations
With the increasing integration of intelligent sensing, industrial communication networks, and Electromagnetic Waves, Antennas and Propagation technologies in smart process industries, stable control of complex multivariable systems has become essential for reliable information acquisition and distributed decision-making. This study proposes a stable operation strategy for a near-zero discharge evaporation and crystallization system for coal chemical wastewater based on model predictive control (MPC). A discrete state-space model incorporating influent chemical oxygen demand, salt concentration disturbances, liquid level–concentration coupling, and steam network constraints is established to characterize the dynamic behavior of the process. A rolling optimization controller integrating feedforward compensation and quadratic programming is developed to coordinate feed flow, steam regulation, and circulation control under multiple operational constraints. Simulation and industrial validation demonstrate that the proposed strategy reduces liquid level overshoot by 82.4%, decreases steam consumption fluctuation by 66.1%, and maintains stable operation with a water reuse rate above 92.3% under severe disturbance conditions. The results confirm that the MPC-based framework significantly enhances disturbance rejection, robustness, and energy efficiency while providing an effective engineering solution for cyber–physical industrial systems. Furthermore, the proposed architecture offers valuable references for communication-enabled intelligent monitoring, distributed sensing, and industrial automation applications associated with Electromagnetic Waves, Antennas and Propagation technologies.
J. Wang, J. Cao, Z. Huo et al.· Advanced Electromagnetics· 0 citations