Method for determining interface distribution form of loose covering layer based on electromagnetic wave CT (Computed Tomography)

Abstract

The invention relates to the technical field of coverage layer investigation, and discloses an electromagnetic wave CT-based loose coverage layer interface distribution pattern determination method, which comprises the following steps: S1, early-stage preparation: clearly researching targets and requirements of electromagnetic wave conditions in a loose coverage layer, collecting coverage layer and surrounding environment data and electromagnetic wave emission source characteristics, and selecting electromagnetic simulation software; s2, model establishment: creating a three-dimensional scene containing a loose covering layer and a surrounding environment in simulation software, setting electromagnetic material attributes of an object and defining an antenna model of an electromagnetic wave emission source; and S3, ray tracing calculation: selecting a ray tracing algorithm suitable for the loose covering layer scene, determining ray emission parameters and processing rays. According to the method, the device and the system, different environments can be detected in a fixed environment by creating the part containing the loose covering layer and the surrounding environment in the simulation software, so that monitoring personnel can be prevented from carrying a large number of detection equipment for field detection, and the problem of data deviation is solved.

Description

Technical Field

[0001] The invention relates to the technical field of cover layer exploration, and in particular to a method for determining the interface distribution morphology of a loose cover layer based on electromagnetic wave CT. Background Art

[0002] The determination of the interface distribution morphology of loose covering layers based on electromagnetic wave CT can help construct geological stratigraphic models and evaluate geological disasters in geological research; in engineering construction, it can provide a basis for basic engineering design and underground engineering planning, optimize design plans, reduce costs and reduce construction risks; in the field of resource exploration, it is conducive to the exploration of water resources and mineral resources; in environmental protection, it helps prevent and control soil pollution and protect the ecological environment, providing a scientific basis for decision-making and practice in multiple fields.

[0003] The determination of the interface distribution morphology of the existing loose covering layer often requires field testing. However, due to the complex field environment and many uncertain factors, it is likely to affect the working status of the testing personnel and equipment, thus causing data deviation problems. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a method for determining the interface distribution morphology of a loose covering layer based on electromagnetic wave CT, which solves the problem that the existing determination of the interface distribution morphology of a loose covering layer often requires on-site testing. However, due to the complex environmental conditions on the ground and many uncertain factors, this is likely to affect the working conditions of the testing personnel and equipment, thereby causing data deviation.

[0005] To achieve the above objectives, the present invention is implemented by the following technical solutions: A method for determining the interface distribution morphology of a loose covering layer based on electromagnetic wave CT comprises the following steps:

[0006] S1. Preliminary preparation: clarify the goals and requirements of studying the electromagnetic wave situation in loose covering layers, collect covering layer and surrounding environment data and electromagnetic wave emission source characteristics, and select electromagnetic simulation software;

[0007] S2, model building: creating a three-dimensional scene including loose covering layers and surrounding environment in the simulation software, setting electromagnetic material properties of objects, and defining antenna models of electromagnetic wave emission sources;

[0008] S3, ray tracing calculation: select the ray tracing algorithm suitable for the loose cover scene, determine the ray emission parameters, and handle the reflection, refraction and scattering when the ray interacts with the loose cover object;

[0009] S4, signal reception: arrange receiving points;

[0010] S5, signal processing: calculate the electromagnetic wave signal strength reaching the receiving point, evaluate the signal-to-noise ratio and bit error rate;

[0011] S6. Result rendering: Use the three-dimensional rendering function of the simulation software to display the electromagnetic wave propagation path and signal intensity distribution;

[0012] S7. Result prediction: predict the electromagnetic wave propagation path and signal strength distribution.

[0013] Preferably, the covering layer and surrounding environment data include the thickness distribution of the covering layer, the electromagnetic properties of the constituent materials, the building size, the terrain undulations and the vegetation coverage, and the electromagnetic wave emission source characteristics include the antenna type, position, transmission power and direction.

[0014] Preferably, the electromagnetic material properties of the object to be set include dielectric constant and conductivity, and the antenna model for defining the electromagnetic wave emission source needs to set antenna parameters, and the antenna parameters include type, direction, and gain.

[0015] Preferably, the ray tracing algorithm includes a mirror method and an SBR algorithm, and the ray emission parameters include emission quantity, angular distribution and initial energy.

[0016] Preferably, the electromagnetic wave signal strength calculates the strength and phase of the received signal through the electromagnetic wave signal propagation path length, energy attenuation and phase change, and obtains the final received signal strength by superimposing all rays reaching the receiving point.

[0017] Preferably, the simulation software includes Wireless Insite and Remcom XFdtd.

[0018] Preferably, the receiving points are arranged in a rectangular grid layout, with each receiving point spaced 1 meter apart.

[0019] Preferably, the receiving points are arranged at intervals of 0.5 m in an area adjacent to the loose covering layer and the building.

[0020] The present invention provides a method for determining the interface distribution morphology of a loose covering layer based on electromagnetic wave CT. It has the following beneficial effects:

[0021] 1. In the present invention, by creating a three-dimensional scene including a loose covering layer and the surrounding environment in the simulation software, setting the electromagnetic material properties of the object and defining the antenna model of the electromagnetic wave emission source, different environments to be detected can be detected in a fixed environment, thereby avoiding the monitoring personnel carrying a large number of detection equipment for field detection, thereby reducing the impact of the complex environment on the equipment and personnel, and improving the problem of data deviation.

[0022] 2. In the present invention, the receiving points are arranged in a rectangular grid layout. Each receiving point is spaced 1 meter apart to evenly cover the entire area, comprehensively acquire the propagation of electromagnetic waves in the loose covering layer, avoid data omissions or insufficient sampling, and accurately depict the intensity distribution, attenuation law and other characteristics of the signal in the area. The receiving points are located in the area adjacent to the loose covering layer and the building. Setting a receiving point every 0.5 meters can finely capture the complex changes of electromagnetic waves at the junction of two different media, thereby being able to more accurately record these changes and provide rich data support for in-depth analysis of the propagation characteristics of electromagnetic waves. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0024] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] Please see attached Figure 1 The embodiment of the present invention provides a method for determining the interface distribution morphology of a loose covering layer based on electromagnetic wave CT, which is characterized by comprising the following steps:

[0026] 1. A method for determining the interface distribution morphology of a loose covering layer based on electromagnetic wave CT, characterized in that it comprises the following steps:

[0027] S1. Preliminary preparation: clarify the goals and requirements of studying the electromagnetic wave situation in loose covering layers, collect covering layer and surrounding environment data and electromagnetic wave emission source characteristics, and select electromagnetic simulation software;

[0028] S2, model building: creating a three-dimensional scene including loose covering layers and surrounding environment in the simulation software, setting electromagnetic material properties of objects, and defining antenna models of electromagnetic wave emission sources;

[0029] S3, ray tracing calculation: select the ray tracing algorithm suitable for the loose cover scene, determine the ray emission parameters, and handle the reflection, refraction and scattering when the ray interacts with the loose cover object;

[0030] S4, signal reception: arrange receiving points;

[0031] S5, signal processing: calculate the electromagnetic wave signal strength reaching the receiving point, evaluate the signal-to-noise ratio and bit error rate;

[0032] S6. Result rendering: Use the three-dimensional rendering function of the simulation software to display the electromagnetic wave propagation path and signal intensity distribution;

[0033] S7. Result prediction: predict the electromagnetic wave propagation path and signal strength distribution.

[0034] Specifically, by clarifying the goals and needs of studying the electromagnetic wave conditions in loose covering layers, the research can be more targeted and the research focus can be accurately grasped, such as determining whether to focus on the propagation attenuation of electromagnetic waves in loose covering layers or the signal coverage range. By collecting covering layer and surrounding environment data, accurate basic information can be provided for simulation, and a more realistic model can be constructed, thereby improving the reliability of simulation results. By collecting the characteristics of electromagnetic wave emission sources, the emission conditions can be accurately simulated. By selecting electromagnetic simulation software, efficient and accurate simulation calculations can be ensured, and the results can be presented in an intuitive manner, providing strong support for subsequent analysis and application, and providing a scientific basis for decision-making and design.

[0035] By establishing a model, we can build a virtual environment that is highly similar to the actual situation, so that we can intuitively observe the propagation of electromagnetic waves in complex loose covering layers and surrounding environments, thereby reducing the impact of complex field environments on detection instruments and personnel, thereby ensuring the accuracy of the data. By setting the electromagnetic material properties of objects, it can help to accurately simulate the interaction between electromagnetic waves and different substances, thereby more realistically reflecting the propagation characteristics, attenuation laws, and reflection, refraction and scattering phenomena of electromagnetic waves. By defining the antenna model of the electromagnetic wave emission source, the emission parameters can be accurately controlled, providing a basis for studying the propagation effects of electromagnetic waves under different emission conditions, thereby helping us optimize the design of communication systems, improve the accuracy of electromagnetic detection, etc., and provide a scientific theoretical basis and effective solutions for practical applications.

[0036] Ray tracing calculations can more accurately simulate the propagation path and energy distribution of electromagnetic waves in loose covering layers, making the simulation results closer to the actual situation. By selecting ray tracing algorithms and determining ray emission parameters, the amount of calculation and accuracy can be effectively controlled, and the calculation efficiency can be improved while ensuring accuracy. By processing the reflection, refraction and scattering of rays when interacting with loose covering objects, we can have an in-depth understanding of the various influences on electromagnetic waves in loose covering layers, such as signal echoes caused by reflection, changes in propagation direction caused by refraction, and energy dispersion caused by scattering, etc., thereby providing strong support for optimizing electromagnetic system design, improving signal transmission quality, and enhancing electromagnetic detection capabilities, and providing a scientific basis and effective methods for solving electromagnetic problems in actual engineering and scientific research.

[0037] By arranging receiving points, the propagation of electromagnetic waves at different locations can be fully acquired, thereby accurately depicting the distribution characteristics of electromagnetic waves in the entire study area. Calculating the electromagnetic wave signal strength reaching the receiving point can intuitively understand the changes in signal strength, and provide basic data for analyzing signal attenuation, enhancement and other phenomena. Evaluating the signal-to-noise ratio can measure the signal quality, help determine the reliability and stability of the communication system in this environment, and identify possible interference sources. Evaluating the bit error rate can evaluate the communication quality from the perspective of data transmission accuracy, and provide a basis for optimizing the parameter settings and modulation methods of the communication system, thereby improving the transmission effect of electromagnetic waves in loose coverage environments and ensuring the effectiveness and reliability of communications.

[0038] The data of the covering layer and surrounding environment include the thickness distribution of the covering layer, the electromagnetic properties of the constituent materials, the building size, the terrain undulations and the vegetation coverage. The characteristics of the electromagnetic wave emission source include the antenna type, location, transmission power and direction.

[0039] Specifically, it can build more accurate simulation models to accurately simulate the propagation of electromagnetic waves in complex environments; the information on building size, terrain undulations and vegetation coverage can help consider the effects of reflection, refraction and scattering on the propagation of electromagnetic waves; the characteristic data of the electromagnetic wave transmitter can accurately control the emission, thereby comprehensively evaluating the signal coverage range, intensity distribution and communication quality, etc., providing a scientific basis and effective guidance for optimizing communication system design, electromagnetic detection planning and solving electromagnetic problems in actual engineering, thereby building more accurate simulation models to accurately simulate the propagation of electromagnetic waves in complex environments.

[0040] Setting the electromagnetic material properties of an object includes dielectric constant and conductivity. Defining the antenna model of the electromagnetic wave emission source requires setting the antenna parameters, which include type, direction, and gain.

[0041] Specifically, by setting the electromagnetic material properties of the object (such as dielectric constant and conductivity) and defining the antenna model of the electromagnetic wave emission source (including antenna type, direction, gain and other parameters), the dielectric constant and conductivity of the object can be accurately set to more realistically simulate the interaction between electromagnetic waves and objects of different materials, thereby accurately reflecting the attenuation, reflection, refraction and transmission of electromagnetic waves during propagation, making the simulation results more consistent with the actual physical process; by clarifying the various parameters of the electromagnetic wave emission source antenna model, the emission characteristics of electromagnetic waves can be accurately controlled, such as the emission direction determines the propagation path of electromagnetic waves, the gain affects the signal strength and coverage, and the antenna type is related to the polarization mode of electromagnetic waves. In this way, the entire process from the emission of electromagnetic waves to the propagation in the environment can be fully and accurately simulated, which is helpful for in-depth research on the propagation law of electromagnetic waves in a specific environment, and provides strong support for optimizing the design and performance of wireless communication systems, electromagnetic detection equipment, etc., and improving the communication quality and the accuracy of electromagnetic detection.

[0042] The ray tracing algorithms include the mirror method and the SBR algorithm, and the ray emission parameters include the emission quantity, angle distribution and initial energy.

[0043] Specifically, different ray tracing algorithms such as the mirror method and SBR algorithm can be applied to different scenarios and accuracy requirements. Choosing the right algorithm can more accurately simulate the propagation path of electromagnetic waves in complex environments; the determination of ray emission parameters, such as the selection of the number of emissions, too few may lead to inaccurate simulation results, and too many will increase the amount of calculation. By reasonably determining the number of emissions, a balance can be achieved between accuracy and efficiency; the setting of angle distribution can simulate the propagation of electromagnetic waves in different directions and fully understand the propagation characteristics of electromagnetic waves in space; the setting of initial energy can affect the energy attenuation and signal strength changes of electromagnetic waves during propagation. The comprehensive use of these ray tracing algorithms and emission parameters can more accurately predict the propagation of electromagnetic waves in various environments, providing a reliable basis and effective guidance for electromagnetic channel simulation, wireless communication system design, and electromagnetic environment assessment.

[0044] The electromagnetic wave signal strength calculates the strength and phase of the received signal through the electromagnetic wave signal propagation path length, energy attenuation and phase change, and obtains the final received signal strength by superimposing all rays reaching the receiving point.

[0045] Specifically, the strength and phase of the received signal are calculated by considering the propagation path length, energy attenuation and phase change of the electromagnetic wave signal, and all rays reaching the receiving point are superimposed to obtain the final received signal strength. This can accurately simulate the propagation of electromagnetic waves in a complex loose coverage environment, accurately reflect the energy loss caused by factors such as medium absorption and scattering during the propagation of the signal, and the phase change caused by changes in propagation distance and medium properties, thereby providing detailed data for in-depth analysis of the propagation characteristics of electromagnetic waves. The final accurate received signal strength is helpful to evaluate the performance of the communication system in this environment, optimize antenna layout, transmission power and other parameters, and improve signal coverage quality and communication reliability. At the same time, it also provides a scientific basis for applications in fields such as electromagnetic detection and geological research, helping engineers and researchers to better understand and utilize the propagation laws of electromagnetic waves in complex media.

[0046] Simulation software includes Wireless Insite and Remcom XFdtd.

[0047] Specifically, through the powerful functions and precise algorithms of Wireless Insite and Remcom XFdtd, it is possible to accurately build complex three-dimensional models based on the actual loose coverage layer and surrounding environment data, simulate the propagation process of electromagnetic waves in it, and accurately calculate key indicators such as signal strength, signal-to-noise ratio, and bit error rate. Wireless Insite and RemcomXFdtd can help engineers and researchers understand the propagation characteristics of electromagnetic waves in different scenarios in advance when designing communication systems and planning electromagnetic spectrum resources, further optimize antenna layout, transmission power and other parameters, effectively avoid signal blind spots and interference, improve communication quality and system reliability, and also reduce risks and costs in actual projects.

[0048] The receiving points are arranged in a rectangular grid layout, with each receiving point spaced 1 meter apart. The receiving points are set every 0.5 meters in the area adjacent to the loose cover layer and the building.

[0049] Specifically, through the rectangular grid layout, each receiving point is spaced 1 meter apart, which can fully and evenly cover the entire research area, accurately obtain the propagation of electromagnetic waves in the loose coverage layer, and set it every 0.5 in the area adjacent to the loose coverage layer and the building, it can accurately capture the complex changes of electromagnetic waves at the junction of different media, such as reflection, refraction and scattering. In this way, it is possible to deeply analyze the boundary effect and understand the changes in parameters such as signal strength, propagation direction and phase of electromagnetic waves when they propagate from the loose coverage layer to the vicinity of the building, providing rich and accurate data support for studying electromagnetic compatibility and optimizing the performance of communication systems in complex environments, thereby improving the accuracy and reliability of electromagnetic simulation and better guiding practical engineering applications.

[0050] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for determining the interface distribution morphology of a loose covering layer based on electromagnetic wave CT, characterized in that: The following steps are involved: S1. Preliminary preparation: clarify the goals and requirements of studying the electromagnetic wave situation in loose covering layers, collect covering layer and surrounding environment data and electromagnetic wave emission source characteristics, and select electromagnetic simulation software; S2, model building: creating a three-dimensional scene including loose covering layers and surrounding environment in the simulation software, setting electromagnetic material properties of objects, and defining antenna models of electromagnetic wave emission sources; S3, ray tracing calculation: select the ray tracing algorithm suitable for the loose cover scene, determine the ray emission parameters, and handle the reflection, refraction and scattering when the ray interacts with the loose cover object; S4, signal reception: arrange receiving points; S5, signal processing: calculate the electromagnetic wave signal strength reaching the receiving point, evaluate the signal-to-noise ratio and bit error rate; S6. Result rendering: Use the three-dimensional rendering function of the simulation software to display the electromagnetic wave propagation path and signal intensity distribution; S7. Result prediction: predict the electromagnetic wave propagation path and signal strength distribution.

2. The method for determining the interface distribution morphology of a loose covering layer based on electromagnetic wave CT according to claim 1 is characterized in that: The covering layer and surrounding environment data include the thickness distribution of the covering layer, the electromagnetic properties of the constituent materials, the building size, the terrain undulations and the vegetation coverage, and the electromagnetic wave emission source characteristics include the antenna type, position, emission power and direction.

3. The method for determining the interface distribution morphology of a loose covering layer based on electromagnetic wave CT according to claim 1, characterized in that: The electromagnetic material properties of the object to be set include dielectric constant and conductivity. The antenna model to define the electromagnetic wave emission source requires setting antenna parameters, and the antenna parameters include type, direction, and gain.

4. The method for determining the interface distribution morphology of a loose covering layer based on electromagnetic wave CT according to claim 1, characterized in that: The ray tracing algorithm includes a mirror method and an SBR algorithm, and the ray emission parameters include emission quantity, angle distribution and initial energy.

5. The method for determining the interface distribution morphology of a loose covering layer based on electromagnetic wave CT according to claim 1, characterized in that: The electromagnetic wave signal strength calculates the strength and phase of the received signal through the electromagnetic wave signal propagation path length, energy attenuation and phase change, and obtains the final received signal strength by superimposing all rays reaching the receiving point.

6. The method for determining the interface distribution morphology of a loose covering layer based on electromagnetic wave CT according to claim 5, characterized in that: The simulation software includes Wireless Insite and Remcom XFdtd.

7. The method for determining the interface distribution morphology of a loose covering layer based on electromagnetic wave CT according to claim 1, characterized in that: The receiving points are arranged in a rectangular grid layout, with each receiving point spaced 1 meter apart.

8. The method for determining the interface distribution morphology of a loose covering layer based on electromagnetic wave CT according to claim 1, characterized in that: The receiving points are arranged every 0.5 meters in the area adjacent to the loose covering layer and the building.

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