Essential details
MOQ:1
Shipping:Express Delivery
Specification Number:RY-MSATEM-001
Product Introduction
Product Intro:
This exploration system is composed of a ground-based high-power transmitter, a high-precision continuous data acquisition receiver, a flight platform, magnetic sensors, and data processing software.
It effectively solve the limitation of shallow detection depth in fully airborne exploration. By integrating these components, the system offers high work efficiency, enabling rapid completion of depth measurement tasks.
At present, it has found wide applications in various academic and practical fields, including mineral exploration, groundwater research, engineering surveys, and emergency rescue exploration efforts.
Core technologies:
1.Web-based data acquisition control technology:
1.Web-based data acquisition control technology:
A web control receiver based on an embedded system was developed, enabling real-time monitoring of data acquisition status during flight and supporting wireless remote control for high-speed, high-precision data acquisition.
2.High-precision positioning technology:
2.High-precision positioning technology:
A two-level mounting platform was designed to address sensor positioning deviation during flight, achieving real-time, centimeter-level precision in sensor positioning.
3.Time series denoising technology:
3.Time series denoising technology:
A moving-window-based recursive least squares denoising algorithm was proposed to address the issue of significant dynamic noise during UAV operations, effectively suppressing random noise.
4.Data processing technology based on edge computing and cloud computing:
4.Data processing technology based on edge computing and cloud computing:
During the data acquisition phase, edge computing was employed for preprocessing of large volumes of raw data, thereby reducing the burden of data transmission; cloud computing resources were utilized to perform complex resistivity calculations. This integrated approach significantly shortened the processing time for large datasets and enhanced overall operational efficiency.
Fig1 Old type of load
Fig 2 new type of set
Product details
