Geophysical Methods for Karst Survey Detection

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  • Geophysical Methods for Karst Survey Detection
  • Geophysical Methods for Karst Survey Detection
  • Geophysical Methods for Karst Survey Detection
  • Geophysical Methods for Karst Survey Detection
  • Geophysical Methods for Karst Survey Detection
  • Geophysical Methods for Karst Survey Detection
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  • Overview
  • Product Description
  • Application
  • Our Advantages
  • Product Parameters
  • Packing List
Overview

Basic Info.

Model NO.
TS-RD1203(A)
Touch Screen Resolution
800x480
Humidity
90%
Data Storage
48W
Channel
2
Frequency
Multiple
Power Frequency Suppression
60dB
Detection Depth
150m
Lead Time
7 Days
OEM, ODM
Available
Certificate
ISO, CE
Training
Online & on Site
Transport Package
Flight Box
Specification
set
Trademark
Tensense
Origin
China
HS Code
9030899090
Production Capacity
500sets/Year

Product Description

Geophysical Methods For Karst Survey Detection TS-RD1203(A)


Geophysical Methods for Karst Survey Detection
Product Description

  The TS-RD1203(A) Elastic Wave Sub-bottom Karst Detector operates on the principle of elastic wave reflection to accurately identify subsurface anomalies such as karst cavities, fractures, and soft strata. Equipped with an integrated high-power elastic wave excitation device and a multi-channel elastic wave detection system, the probe is meticulously engineered to perform thorough inspections at the base of boreholes.

 

Application

Main Applications:

  Detection of sub-bottom karst cavities in a variety of borehole conditions, including mud-filled holes, dry holes, and other types of pipe holes, providing versatile applicability for diverse geological investigations.

Geophysical Methods for Karst Survey Detection

Our Advantages

Features:

  1. Elastic Wave Reflection Principle: Utilizing the principle of elastic wave reflection, the device is equipped with an internal high-power excitation device and multiple elastic wave detectors to identify and map out karst caves, fractures, and other subterranean anomalies.

  2. Automatic Depth Detection: The system is designed to automatically stimulate elastic waves and measure the depth of sub-bottom structures with a high degree of accuracy, reaching up to 10 meters below the hole bottom.

  3. Adaptive Coupling: The device automatically adjusts the relative height between the excitation source and receiving transducers, ensuring optimal signal transmission and high coupling efficiency, which is crucial for accurate detection in various hole conditions.

  4. Azimuth Precision: With an azimuth accuracy of 0.1°, the detector provides precise directional information, enabling comprehensive mapping of the hole bottom's geological features.

  5. Advanced Data Analysis Software: The software suite includes digital filtering (high pass, low pass, band-pass), spectrum analysis, phase analysis, reflection extraction, and signal correlation tools, which facilitate the interpretation of the detected data and assist in determining the exact location of karst formations.

  6. User-Friendly Interface: The embedded operating system features a Chinese interface that is intuitive and efficient, allowing for easy operation and data management.

  7. Durable and Portable Design: The device is encased in a rugged, waterproof, and dustproof exterior with an IP67 rating, ensuring reliability in diverse field conditions. Its portable design allows for easy transportation and deployment.

  8. Power Efficiency: Powered by a DC16.8V high-capacity lithium battery, the device offers low power consumption, enabling up to 10 hours of continuous operation on a single charge.
     

Product Parameters

Technical Introduction:

  1. High-Power Excitation System: The device is equipped with a high-power elastic wave excitation system that generates strong acoustic signals, ensuring effective wave propagation and reflection even in challenging subsurface conditions.

  2. Multi-Channel Detection Capability: Featuring multiple elastic wave detectors, the system captures a broad spectrum of reflections, enhancing the resolution and reliability of the subsurface imaging.

  3. Automatic Ground Coupling Optimization: The detector's design includes an automatic ground coupling optimization mechanism that adapts to the borehole's conditions, maintaining consistent signal integrity throughout the detection process.

  4. Built-in Attitude Sensor: The probe is fitted with an attitude sensor that monitors the orientation of the device, ensuring that the data collected is accurately georeferenced and that the detection is aligned with the borehole's geometry.

  5. High-Speed Data Processing Unit: The device is powered by a 24-bit high-speed data acquisition system, which processes the reflected waves at a rapid pace, allowing for real-time analysis and interpretation of subsurface data.

  6. Low-Noise Amplification and Signal Conditioning: The system incorporates advanced low-noise amplifiers and signal conditioning circuits to enhance the signal-to-noise ratio, ensuring that even the faintest reflections are captured with clarity.

  7. Environmental Adaptability: The detector is designed to operate effectively in a wide range of environmental conditions, with a temperature operating range from -20°C to 60°C and humidity resistance up to 90% RH, making it suitable for various geographical locations and weather conditions.

  8. Efficient Power Management: The device's power management system is optimized to maximize battery life, allowing for extended field operations without the need for frequent recharging.

  9. Data Security and Integrity: The internal storage and data handling protocols are designed to ensure the security and integrity of the collected data, with the option for direct data transfer via USB 2.0, facilitating secure data handling and analysis.

  10. Modular and Scalable Design: The system's modular design allows for future upgrades and scalability, ensuring that the device remains at the forefront of technological advancements in sub-bottom karst detection.
     

    Packing List

    Geophysical Methods for Karst Survey Detection


     

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