Abstract: Disclosed are a hybrid density abrupt interface inversion method based on machine learning constraints.

Abstract: Disclosed are a simulation platform and a simulation method for leakage detection and treatment. The simulation platform includes a water tank open at the top, which is a holding device; simulation sand, which is laid at the bottom of the water tank, and the upper area of the simulation sand is the experimental water filling area for filling simulation water; a leakage simulation device, which is buried in the simulation sand; a plurality of electrodes, which are distributed on the simulation sand for collecting and sending potential and current signals to a data processing terminal; a hydraulic brake, which is arranged in the experimental water filling area and used for stirring the simulation water; the hydraulic brake is not turned on in the static water environment simulation, and is turned on in the dynamic water environment simulation.

Abstract: The invention discloses a semi-airborne time domain electromagnetic exploration system for an unmanned aerial vehicle, and belongs to the technical field of geophysical electromagnetic exploration. The system comprises a ground high-power electromagnetic field source emission subsystem, a semi-airborne time domain electromagnetic exploration and observation subsystem and a data processing interpretation software subsystem, wherein the ground high-power electromagnetic field source emission subsystem comprises an IGBT full bridge, a PWM control circuit, a rectification filter circuit and a protection circuit; the semi-airborne time domain electromagnetic exploration and observation subsystem comprises an unmanned aerial vehicle, a receiving coil and a receiver; the data processing interpretation software subsystem comprises a system function module and a bottom layer supporting module, and the bottom layer supporting module is used for providing a universal performance function for the system function module.