The invention discloses a metallurgical
waste gas purification and
recovery method based on a
particle swarm optimization algorithm, and the method comprises the following steps: S1, carrying out the pretreatment of metallurgical
waste gas, monitoring the temperature, pressure, flow velocity and chemical components in real time, and inputting the temperature, pressure, flow velocity and chemical components into an optimization module; s2, key parameters in the purification and
recovery process are analyzed through a recursive morphological
coupling algorithm, a problem is decomposed into sub-problems, and operation parameters are determined; s3, performing global search through a morphological recombination
particle swarm optimization algorithm to generate an optimization parameter set; s4, performing dynamic recombination on the potential optimal solution by applying an evolutionary form recombination algorithm, and improving a local solution; s5, the optimized parameter set is applied to the purification device, dynamic adjustment is conducted through a recursive morphological
coupling algorithm, and recognition and
recovery of rare components are achieved; s6, performing multi-stage detection on the purified and recycled
waste gas, and feeding back to an optimization module for parameter adjustment; and S7, according to waste gas components and
process requirements, operation parameters are adjusted in a self-adaptive mode.