Abstract
The present invention relates to a control method and system of a front-end conveying device for soil leaching remediation. The method includes: acquiring device monitoring status data, which encompasses soil weight, feeder rate, and conveyor belt speed, along with an image of the soil to be remediated from the conveying device; obtaining the soil remediation boundary region based on the image of the soil to be remediated; performing non-linear correlation mapping learning on the conveyor belt speed according to the soil weight parameters to obtain weight-conveying speed correlation data; conducting multi-level cooperative response neural network learning on the conveyor belt speed and the feeder's feeding rate based on the weight-conveying speed correlation data to generate cooperative response data for the conveying device; acquiring a monitoring image of the front-end conveying device; and deriving 3D component structure data from these images. This approach enables precise feeding control of the conveying device.