The invention belongs to the technical field of catalytic
chemistry, and particularly relates to a method for enhancing photoelectric composite catalytic reaction efficiency through self-adaptive multi-field
coupling. Specifically, firstly, a closed columnar reactor composed of an
LED array, a reflection / lens
system, a
copper-
nickel alloy cathode, a Ru-doped PbO2
anode, a Ti5O7 / Ti3O4 composite photocatalytic parallel-connection multi-tube plate and the like is built, a distributed
silicon photodiode and a
quantum dot fluorescent probe sensor are installed, a
machine learning
algorithm is utilized, and according to the reactant concentration and the by-product generation condition, the
quantum dot fluorescent probe sensor and the
quantum dot fluorescent probe sensor are analyzed.
Light field conditions (
wavelength, intensity and distribution) used by
photocatalysis,
electric field conditions (current,
voltage and power line distribution) used by electrocatalysis and flow
field conditions (flow velocity, flow rate and distribution) are dynamically adjusted to optimize the
chemical reaction rate, and an AI model is combined to predict an optimal multi-field
coupling setting scheme, so that the efficiency is improved, the
energy consumption is reduced, and the cost is reduced. Meanwhile, the effect of enhancing the catalytic
conversion reaction is achieved.