Adaptive geological radar data processing system

Abstract

The invention relates to a self-adaptive geological radar data processing system. Artificial intelligence and machine learning technologies are integrated to realize intelligence of geological radar detection. According to the system, characteristic parameters of the geological environment are captured and analyzed in real time through the configured multi-spectrum sensor, and an accurate environment recognition module is constructed; based on an environment identification result, the system dynamically adjusts the frequency, transmitting power and data acquisition parameters of radar waves so as to optimize the signal acquisition efficiency and precision for different geological conditions; the system uses a deep learning algorithm to carry out advanced processing on radar data, automatically improves image quality, filters background noise, and accurately identifies underground structure features. According to the method, the augmented reality technology is fused, the detection result is displayed to the user through a visual interface, meanwhile, historical and real-time data are combined, the system can automatically generate detailed analysis reports and construction suggestions, and scientific and efficient exploration and decision support is provided for the user.

Description

Technical Field

[0001] The present invention relates to the technical field of geological exploration and data processing, and particularly to an adaptive ground penetrating radar data processing system and its processing method. This system can efficiently and accurately analyze and identify radar data under complex geological conditions. Background Art

[0002] As a non-destructive detection technology, ground penetrating radar is widely used in fields such as civil engineering, mineral resource exploration, underground pipeline detection, and archaeological excavation. It reveals the underground structure characteristics and abnormal body distribution by transmitting high-frequency electromagnetic waves and receiving the signals reflected by underground media. However, in practical applications, the processing of ground penetrating radar data faces many challenges, such as the complexity of geological conditions (such as variable strata and large differences in rock properties), data noise interference (such as electromagnetic interference, surface reflection, etc.), and the efficiency and accuracy of data processing algorithms. Traditional ground penetrating radar data processing methods, such as filtering, time-frequency analysis, imaging technology, etc., can extract underground structure information to a certain extent, but in the face of complex geological conditions, they often have problems such as insufficient analysis ability, high misjudgment rate, and low processing efficiency. In addition, the reflection characteristics of radar signals vary significantly in different geological environments, and there is a lack of a general system that can adaptively adjust processing parameters and algorithms to cope with various complex geological conditions. Therefore, developing an adaptive ground penetrating radar data processing system that can automatically adjust the processing flow and optimize algorithm parameters according to the characteristics of the original data collected by the ground penetrating radar to achieve efficient and accurate extraction of underground structure information is of great significance for improving the accuracy and efficiency of geological exploration and reducing the risk of misjudgment. This system can not only adapt to the changes in different geological conditions, but also provide reliable data support for fields such as geological disaster warning, mineral resource assessment, and underground space planning, promoting the further development of geological exploration technology. Summary of the Invention

[0003] The purpose of the present invention is to provide an adaptive ground penetrating radar data processing system that can adapt to changes in the geological environment in real time, efficiently process ground penetrating radar data, and accurately analyze the underground structure.

[0004] To achieve the above purpose, the present invention designs the following technical solutions:

[0005] The adaptive ground penetrating radar data processing system includes an environment recognition module, an adaptive data acquisition strategy module, an intelligent data processing algorithm module, a user feedback system module, an intelligent decision support module, and an optional remote monitoring and diagnosis module.

[0006] The described environmental recognition module is configured with advanced multi-spectrum sensors or environmental sensors for real-time capturing and analyzing characteristic parameters of the surrounding geological environment, including but not limited to soil type, humidity, temperature, and mineral composition, etc., providing basic information for subsequent data collection and processing.

[0007] The described adaptive data acquisition strategy module dynamically adjusts the frequency, transmission power, and data acquisition parameters of radar waves according to the output results of the environmental recognition module, ensuring that the radar signals can effectively penetrate and reflect under different geological conditions, so as to capture the most accurate geological information.

[0008] The described intelligent data processing algorithm module uses advanced algorithms such as deep learning to efficiently process the collected radar data. This module includes a data acquisition sub-module, an image enhancement sub-module, a noise removal sub-module, and a structure recognition sub-module, which can automatically improve the quality of radar images, filter out background noise, and accurately identify underground structures such as cracks, caves, and buried objects, etc.

[0009] The described user feedback system module uses augmented reality technology to present the processed geological radar detection results to users in an intuitive and visual way, improving the efficiency of user understanding and decision-making. This module includes an augmented reality display sub-module and a user interaction interface sub-module. The former is used for AR display, and the latter is used for user instruction input and feedback reception.

[0010] The described intelligent decision support module combines historical data with real-time data, uses advanced analysis techniques to automatically generate analysis reports and suggestions for geological exploration or construction, providing a scientific basis for decision-makers. In addition, this module also includes a risk assessment function, which can assess potential risks during the exploration or construction process and provide corresponding risk mitigation measures or suggestions.

[0011] The described remote monitoring and diagnosis module (optional) is used for remotely monitoring the operating status of the system, timely discovering and diagnosing system faults, ensuring the stable operation and efficient work of the system.

[0012] The adaptive geological radar data processing system of the present invention realizes real-time acquisition, intelligent processing, and visual feedback of geological radar data, as well as intelligent decision support based on data by integrating the above modules. This system can significantly improve the efficiency and accuracy of geological exploration and construction, providing strong support for the development of the geological engineering field.

[0013] According to specific embodiments of the present invention, the system obtains geological environment characteristics through an environmental recognition module. The adaptive data acquisition strategy module adjusts data acquisition parameters based on these characteristics. The intelligent data processing algorithm module efficiently processes the acquired data. The user feedback system module presents the processing results to the user in an intuitive manner, and the intelligent decision support module provides data-based analysis and suggestions.

[0014] The above description is only an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and implement it in accordance with the content of the specification, the following takes preferred embodiments of the present invention and detailedly describes them in conjunction with the accompanying drawings. The specific implementation manner of the present invention is given in detail by the following embodiments and their accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The drawings described herein are used to provide a further understanding of the present invention and form a part of this application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings:

[0016] Figure 1 is a schematic flow diagram of an adaptive ground penetrating radar data processing system;

[0017] Figure 2 is a schematic diagram of an adaptive ground penetrating radar processing system. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] The principles and features of the present invention are described below in conjunction with the accompanying drawings. The examples given are only used to explain the present invention and are not used to limit the scope of the present invention. In the following paragraphs, the present invention is described more specifically by way of example with reference to the accompanying drawings. It should be noted that the drawings are all in a very simplified form and use non-precise scales, only for the purpose of conveniently and clearly assisting in explaining the purpose of the embodiments of the present invention.

[0019] Please refer to Figures 1-2 , in an embodiment of the present invention, an adaptive ground penetrating radar data processing system includes an environmental recognition module, an adaptive data acquisition strategy module, an intelligent data processing algorithm module, a user feedback system module, an intelligent decision support module, and an optional remote monitoring and diagnosis module.

[0020] Please refer to Figure 2 , in practical applications, first start the environmental recognition module. This module is installed on the radar vehicle and is equipped with advanced multi-spectrum sensors or environmental sensors for real-time capturing and analyzing characteristic parameters of the surrounding geological environment, including but not limited to soil type, humidity, temperature, and mineral composition, etc. These basic information provide important basis for subsequent data acquisition and processing.

[0021] Please refer to Figure 2, according to the output result of the environmental recognition module, the adaptive data acquisition strategy module installed on the radar vehicle dynamically adjusts the frequency, transmission power, and data acquisition parameters of the radar wave to ensure that the radar signal can effectively penetrate and reflect under different geological conditions, so as to capture the most accurate geological information.

[0022] The collected radar data is then sent to the intelligent data processing algorithm module for processing. This module uses advanced algorithms such as deep learning, including a data acquisition sub-module, an image enhancement sub-module, a noise removal sub-module, and a structure recognition sub-module. These sub-modules work together to automatically improve the quality of the radar image, filter out background noise, and accurately identify underground structures such as cracks, caves, and buried objects.

[0023] The data acquisition sub-module is used to receive radar data;

[0024] The image enhancement sub-module is used to improve the quality of the radar image;

[0025] The noise removal sub-module is used to filter out background noise;

[0026] The structure recognition sub-module is used to accurately identify underground structures;

[0027] The processed geological radar detection result is presented to the user in an intuitive and visual way through the user feedback system module. This module uses augmented reality technology, including an augmented reality display sub-module and a user interaction interface sub-module.

[0028] The augmented reality display sub-module is used to display the detection result in the form of AR;

[0029] The user interaction interface sub-module is used to interact with the user, provide operation instructions, and receive user feedback.

[0030] The intelligent decision support module combines historical data and real-time data, uses advanced analysis techniques, and automatically generates analysis reports and suggestions for geological exploration or construction. In addition, this module also includes a risk assessment function, which can evaluate potential risks during exploration or construction and provide corresponding risk mitigation measures or suggestions.

[0031] The system of the remote monitoring and diagnosis module (optional), which is used to remotely monitor the running state of the system, detect and diagnose system faults in a timely manner, and ensure the stable operation and high efficiency of the system.

[0032] According to the specific embodiments provided by the present invention, the operation process of the entire adaptive geological radar data processing system is as follows:

[0033] Start the environmental recognition module to capture and analyze the geological environment characteristics in real time.

[0034] According to environmental characteristics, the adaptive data acquisition strategy module adjusts radar data acquisition parameters.

[0035] The collected radar data is sent to the intelligent data processing algorithm module for processing, including image enhancement, noise removal, and structure recognition.

[0036] The processed data is presented to the user in an intuitive manner through the user feedback system module.

[0037] The intelligent decision support module combines historical data and real-time data to generate analysis reports and suggestions.

[0038] (Optional) The remote monitoring and diagnosis module monitors the system operation status to ensure the stable operation of the system.

[0039] The above is only a preferred embodiment of the present invention, and it is not intended to limit the present invention in any form; any ordinary technician in the industry can smoothly implement the present invention according to the illustrations in the specification and the above description; however, any equivalent changes made by those familiar with the technology in the industry within the scope of the technical solution of the present invention, using the technical content disclosed above, such as minor changes, modifications, and evolutions, are equivalent embodiments of the present invention; at the same time, any equivalent changes, modifications, and evolutions made to the above embodiments based on the essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. An adaptive ground penetrating radar data processing system, characterized in that, Including: An environmental recognition module, configured with multi-spectral sensors or environmental sensors, for real-time analysis of the characteristic parameters of the surrounding geological environment, including soil type, humidity, temperature, and mineral composition; An adaptive data acquisition strategy module, which dynamically adjusts the frequency, transmission power, and data acquisition parameters of radar waves according to the output results of the environmental recognition module to adapt to the signal attenuation and reflection characteristics under different geological conditions; An intelligent data processing algorithm module, which uses deep learning algorithms to process the collected radar data, automatically improves the image quality, removes background noise, and accurately identifies underground structures such as cracks, caves, and buried objects; A user feedback system module, which uses augmented reality technology to present the detection results to the user in an intuitive visual way; An intelligent decision support module, which combines historical data and real-time data to automatically generate analysis reports and construction suggestions; Among them, the intelligent data processing algorithm module further includes: A data acquisition sub-module, used to receive radar data; An image enhancement sub-module, used to improve the quality of radar images; A noise removal sub-module, used to filter out background noise; A structure recognition sub-module, used to accurately identify underground structures; The user feedback system module further includes: An augmented reality display sub-module, used to display the detection results in the form of AR; A user interaction interface sub-module, used to interact with the user, provide operation instructions, and receive user feedback.

2. The adaptive ground penetrating radar data processing system according to claim 1, wherein The environmental recognition module also includes a geological model construction function, which constructs or updates a geological model according to the real-time collected geological environment characteristic parameters to assist the adaptive data acquisition strategy module in parameter adjustment.

3. The adaptive ground penetrating radar data processing system according to claim 1, wherein The adaptive data acquisition strategy module also includes a parameter optimization algorithm, which automatically optimizes the configuration of the frequency, transmission power, and data acquisition parameters of radar waves according to the historical data acquisition effect and the geological model to further improve the efficiency and accuracy of data acquisition.

4. The adaptive ground penetrating radar data processing system according to claim 1, wherein The intelligent decision support module also includes a risk assessment function, which assesses the potential risks in the exploration or construction process according to historical data and real-time detection results, and provides corresponding risk mitigation measures or suggestions.

5. The adaptive ground penetrating radar data processing system according to claim 1, wherein The system also includes a remote monitoring and diagnosis module, which is used to remotely monitor the operation status of the system, timely detect and diagnose system failures, and ensure the stable operation and efficient work of the system.

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