Chinese Academy of Sciences

Lili Kang

Zhongxing Wang

Zhiyao Liu

Tianxin Zhang

Qingyun Di

Renzhong Pei

Xiong Yin

Ruo Wang

Zhiguo An

Zihang Li

A device and a processing method for offsetting an attitude error of a semi-airborne electromagnetic system. The method includes following steps: adjusting attitude angles of the adjustable offset coil based on the changing attitude angle of the measuring coil; obtaining a magnetic induction intensity of offset coils based on the offset coil pairs after an attitude angle adjustment; performing a calculation based on the magnetic induction intensity of the offset coils to obtain attitude error data of the measuring coil; obtaining a magnetic induction intensity of the measuring coil with an attitude error offset based on the magnetic induction intensity and the attitude error data of the measuring coil.

Device and processing method for offsetting attitude error of semi-airborne electromagnetic system

Provided are a method and a device for mobile rapid exploration of mineral resources. The device includes a main magnetic sensor, a slave magnetic sensor and a ground vertical magnetic field sensor arranged in a ground reference station. During exploration, on the one hand, a semi-airborne artificial source exploration method is used to collect signals with the main magnetic sensor and the slave magnetic sensor, in which the slave magnetic sensor collects low-frequency motion noise, and the main magnetic sensor collects low-frequency motion noise and vertical magnetic field signals synchronously. On the other hand, vertical magnetic field signals in a same survey area are collected by the ground vertical magnetic field sensor, and then the low-frequency motion noise collected by the main magnetic sensor is estimated twice through two correlation mappings, so as to obtain a final vertical magnetic field measurement signal.

Method and device for mobile rapid exploration of mineral resources

A semi-airborne electromagnetic survey device and a semi-airborne electromagnetic survey method based on coaxial coplanar mutual reference coil assembly are provided. The device includes a measuring coil and a reference coil with linear correlation of additive motion noise; the reference coil and the measuring coil have a same bandwidth, are coaxial and coplanar and are in hard connection or soft connection; detection resolution of the reference coil only distinguishes the additive motion noise; detection resolution of the measuring coil distinguishes real vertical magnetic field signals and motion noise simultaneously; the reference coil has a much smaller outer diameter than the measuring coil. In the method, one coil only receives the additive motion noise, and an other coil simultaneously receives the additive motion noise and the real vertical magnetic field signals; and the additive motion noise received by the two coils is cancelled to obtain the real vertical magnetic field signals.

Semi-airborne electromagnetic survey device and method based on coaxial coplanar mutual reference coil assembly

Disclosed is a magnetotelluric inversion method based on a fully convolutional neural network. The magnetotelluric inversion method includes: constructing a multi-dimensional geoelectric model; constructing a fully convolutional neural network structure model to obtain initialized fully convolutional neural network model parameters; training and testing the fully convolutional neural network structure model based on the training sets and the test sets to obtain optimized fully convolutional neural network structure model parameters; determining whether training of the fully convolutional neural network structure model is completed according to fitting error changes corresponding to the training sets and the test sets; and finally, inputting measured apparent resistivity into a trained fully convolutional neural network structure model for inversion, and further optimizing the fully convolutional neural network structure model by analyzing precision of an inversion result until an inversion fitting error satisfies a set error requirement.

Magnetotelluric inversion method based on fully convolutional neural network

The present disclosure provides a real-time correction method for an Oven Controlled Crystal (Xtal) Oscillator (OCXO) and an electromagnetic receiver. The real-time correction method for an OCXO includes: performing frequency multiplication on a reference clock signal to generate a first measurement signal and a second measurement signal; identifying a rising edge of each pulse per second on the basis of the first measurement signal to obtain a gate time T; obtaining a frequency of the second measurement signal according to the gate time T; and adjusting a frequency of the reference clock signal at least on the basis that an absolute value of a difference between two adjacent frequencies obtained of the second measurement signal is greater than a standard frequency difference.

Real-time correction method for oven controlled crystal oscillator and electromagnetic receiver

Disclosed is an ocean bottom electromagnetic acquisition station communication apparatus and method. The ocean bottom electromagnetic acquisition station communication apparatus includes: ocean bottom electromagnetic acquisition stations () for acquiring ocean bottom electromagnetic information; a control terminal () for sending control signals; and a relay timing module () connected to the ocean bottom electromagnetic acquisition stations () and the control terminal () and used for processing the ocean bottom electromagnetic acquisition stations () on the basis of the control signals before placement. The ocean bottom electromagnetic acquisition station communication apparatus in the present disclosure has a simple structure, and a plurality of ocean bottom electromagnetic acquisition stations () are controlled by means of the relay timing module () between the control terminal () and the ocean bottom electromagnetic acquisition stations (), such that structures of the ocean bottom electromagnetic acquisition stations () are simplified.

Growing community of inventors

Beijing, China

Lili Kang