Mathematical Modeling Detection Of Underground Objects Using A Damping Pattern Of Propagation

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Introduction

In today's fast-paced world, communication is not limited to the air and land, but also extends to underground environments. The mining industry, in particular, requires effective communication to prevent misunderstandings in high-risk work environments. To achieve this, selecting the right devices, including antennas, and considering losses that occur in the ground is crucial. This study focuses on the analysis of mathematical modeling with correction and direct measurement factors carried out in the courtyard of the Masters in Electrical Engineering, University of North Sumatra.

Background

The need for underground communication is rapidly growing, and the selection of appropriate devices is essential to ensure effective communication. The use of antennas and consideration of losses that occur in the ground are critical factors in this context. The measurement instrument used in this study consists of a vector network analyzer and a monopole antenna that is simulated using Python and Matplotlib software to produce three-dimensional visualization.

Methodology

The measurement results show that the signal pattern received is different from the expected mathematical model. This phenomenon can be explained through the process of diffraction and reflection that occurs in the soil, which turns out to be far more significant than what happens in the air. The linear trend that appears shows that most signals have a positive tangent value, which complicates the separation between the blocked signal or not. Therefore, the detection of objects is carried out supervised in this study, where radio signal propagation that occurs is known without the object in it.

Propagation Path Analysis

This research pays special attention to the propagation path when using TTE (Time Domain Transmission) to detect underground objects by utilizing propagation models and three-dimensional tools, including the application of mathematics and programming languages. The findings of this study indicate that the number of transmission paths that may be used to assess the position of the object is influenced by various factors, such as vertical edges to investigate the value of n, depth of the edge of L, and the transmitter steps s. From this analysis, it is recommended that the blocked signal pathway is used in the signal analysis process, given the smaller amount.

Results and Discussion

The measurement results show that the signal pattern received is different from the expected mathematical model. This phenomenon can be explained through the process of diffraction and reflection that occurs in the soil, which turns out to be far more significant than what happens in the air. The linear trend that appears shows that most signals have a positive tangent value, which complicates the separation between the blocked signal or not. Therefore, the detection of objects is carried out supervised in this study, where radio signal propagation that occurs is known without the object in it.

Conclusion

This research not only shows the importance of mathematical modeling in detecting objects underground, but also opens opportunities for further research that focuses on object modeling. This kind of research can provide valuable insights for the development of underground communication technology, especially in the mining industry, which always requires innovation in increasing safety and operational efficiency.

Recommendations

Based on the findings of this study, it is recommended that the blocked signal pathway is used in the signal analysis process, given the smaller amount. This can provide valuable insights for the development of underground communication technology, especially in the mining industry.

Future Research Directions

This research opens opportunities for further research that focuses on object modeling. This kind of research can provide valuable insights for the development of underground communication technology, especially in the mining industry, which always requires innovation in increasing safety and operational efficiency.

Limitations of the Study

This study has some limitations, including the use of a single measurement instrument and the limited number of measurement points. Future studies can address these limitations by using multiple measurement instruments and increasing the number of measurement points.

Conclusion

Q: What is the main objective of this research?

A: The main objective of this research is to analyze the mathematical modeling of detecting underground objects using a damping pattern of propagation. The study aims to investigate the factors that influence the number of transmission paths that may be used to assess the position of the object.

Q: What is the significance of this research?

A: This research is significant because it provides valuable insights for the development of underground communication technology, especially in the mining industry. Effective communication is crucial in high-risk work environments, and this study aims to contribute to the development of innovative solutions.

Q: What are the key findings of this research?

A: The key findings of this research include:

  • The signal pattern received is different from the expected mathematical model.
  • The linear trend that appears shows that most signals have a positive tangent value, which complicates the separation between the blocked signal or not.
  • The number of transmission paths that may be used to assess the position of the object is influenced by various factors, such as vertical edges to investigate the value of n, depth of the edge of L, and the transmitter steps s.

Q: What are the limitations of this study?

A: The limitations of this study include:

  • The use of a single measurement instrument.
  • The limited number of measurement points.

Q: What are the recommendations of this research?

A: The recommendations of this research include:

  • The blocked signal pathway should be used in the signal analysis process, given the smaller amount.
  • Further research should focus on object modeling to provide valuable insights for the development of underground communication technology.

Q: What are the future research directions?

A: The future research directions include:

  • Investigating the use of multiple measurement instruments.
  • Increasing the number of measurement points.
  • Focusing on object modeling to provide valuable insights for the development of underground communication technology.

Q: What are the potential applications of this research?

A: The potential applications of this research include:

  • Development of underground communication technology for the mining industry.
  • Improvement of safety and operational efficiency in high-risk work environments.
  • Contribution to the development of innovative solutions for underground communication.

Q: What are the implications of this research?

A: The implications of this research include:

  • The importance of mathematical modeling in detecting objects underground.
  • The need for further research to focus on object modeling.
  • The potential for this research to contribute to the development of underground communication technology.