The invention discloses a
smelting arsenic-containing
wastewater early warning and monitoring method based on electrical sensing, and relates to the technical field of
environmental monitoring, and the method comprises the following steps: arranging electrical sensing arrays in a
wastewater discharge pipeline and a
sedimentation tank, collecting reference impedance and
dielectric response under a pure water condition through
constant current excitation, and establishing an electrical
baseline model; collecting a
voltage signal in real time under a
wastewater flowing working condition, comparing the
voltage signal with reference impedance in the electrical
reference model, and performing
standardization processing and Kalman filtering drift compensation to obtain a health correction
signal; and based on the health correction signal, constructing a
dielectric decoupling matrix to separate multi-
ion response, extracting a pure
arsenic signal, predicting short-time change through a PSO-BP network, inputting a prediction signal and a flow velocity field into an
electricity-flow field collaborative inversion model, solving
arsenic ion concentration distribution and
diffusion gradient, calculating a
risk index in combination with the prediction signal, and generating an early warning grade. According to the invention, the resolution ratio and early warning real-time performance of electrical monitoring of the arsenic-containing wastewater are effectively improved.