Microwave-based object detection imaging method and system

Abstract

The invention is applicable to the technical field of microwave detection, and provides a microwave-based object detection imaging method and system, which comprises the following steps: acquiring microwave signal emission data, and acquiring a microwave propagation speed through a microwave type; microwave signal receiving data are obtained, the microwave signals are received through a receiver, the received data are processed, the processing modes comprise filtering, amplifying and denoising, and the processed data are sent to a terminal; performing imaging processing on the article according to the summarized information, obtaining electromagnetic characteristics of different materials, obtaining microwave signal reflection data, and determining a material type and an article structure according to the reflection data and the electromagnetic characteristics; the method comprises the following steps: acquiring multi-angle microwave data, performing three-dimensional reconstruction through the multi-angle microwave data, a material type and an article structure, and sending a three-dimensional reconstruction result to a terminal, thereby solving the problem that in the existing microwave imaging process, microwave signals cannot be processed to analyze the article structure and surface smoothness; and more real performance cannot be realized during three-dimensional imaging.

Description

Technical Field

[0001] The present invention belongs to the technical field of microwave detection, and in particular relates to a microwave-based object detection imaging method and system. Background Art

[0002] With the continuous development of modern science and technology, the demand for object identification, defect detection, material analysis and other fields in various industries is growing. In the fields of manufacturing, construction, logistics management and security, how to quickly and accurately identify the shape, structure, material and surface characteristics of objects has become a key issue to improve work efficiency and ensure quality and safety.

[0003] In recent years, microwave imaging technology has gradually become an emerging non-invasive detection method. With its advantages of penetrating materials, real-time imaging, and accurate analysis of the internal structure of objects, it has been gradually applied to multiple fields. Microwave imaging technology uses the reflection and propagation characteristics of microwave signals to generate three-dimensional imaging and structural information of target objects by receiving data from reflected signals.

[0004] However, the existing microwave imaging process cannot process microwave signals to analyze the structure and surface smoothness of objects, and cannot provide more realistic representation during three-dimensional imaging. Summary of the invention

[0005] The purpose of the embodiment of the present invention is to provide a microwave-based object detection and imaging method, aiming to solve the problem raised in the third part of the background technology.

[0006] The embodiment of the present invention is implemented as follows: a microwave-based object detection imaging method, the method comprising: Acquire microwave signal transmission data, wherein the microwave signal transmission data includes microwave type and microwave frequency band, and acquire microwave propagation speed according to the microwave type; Acquire microwave signal reception data, the microwave signal is received by a receiver, the received data is processed, the processing method includes filtering, amplification and denoising, and the processed data is sent to the terminal; Perform imaging processing on the objects based on the collected information, obtain the electromagnetic characteristics of different materials, obtain microwave signal reflection data, and determine the material type and object structure based on the reflection data and electromagnetic characteristics; Acquire multi-angle microwave data, perform three-dimensional reconstruction based on multi-angle microwave data, material type and object structure, and send the three-dimensional reconstruction results to the terminal.

[0007] Preferably, the step of obtaining microwave signal reception data, wherein the microwave signal is received by a receiver, and the received data is processed, wherein the processing method includes filtering, amplifying and denoising, and the step of sending the processed data to the terminal specifically includes: Acquiring microwave signal reception data, wherein the microwave signal is received by a receiver, and the reception data includes frequency, amplitude and phase; Processing the received data, wherein the processing method includes filtering, amplifying and denoising, to obtain processed data; The processed data is aggregated and sent to the terminal.

[0008] Preferably, the steps of performing imaging processing on the object according to the aggregated information, obtaining electromagnetic properties of different materials, obtaining microwave signal reflection data, and determining the material type and the structure of the object according to the reflection data and the electromagnetic properties specifically include: Performing imaging processing on the object according to the collected information, wherein the imaging processing includes calculation, and the calculation includes time calculation and distance calculation; Obtaining electromagnetic properties of different materials, including conductivity, dielectric constant and geometry; Obtain microwave signal reflection data and determine the material type and structure of the object based on the reflection data.

[0009] Preferably, the step of acquiring multi-angle microwave data, performing three-dimensional reconstruction based on the multi-angle microwave data, material type and object structure, and sending the three-dimensional reconstruction result to the terminal specifically includes: Acquire multi-angle microwave data, and perform 3D reconstruction based on multi-angle microwave data, material type and object structure; The three-dimensional reconstruction includes the three-dimensional shape of the target object and the surface smoothness of the object, and the smoothness is determined by the reflection and absorption of microwaves; Perform visualization on the 3D reconstruction results and send the visualization results to the terminal.

[0010] Preferably, the three-dimensional reconstruction includes the three-dimensional shape of the target object and the surface smoothness of the object.

[0011] Another object of an embodiment of the present invention is to provide a microwave-based object detection imaging system, the system comprising: A signal module, which obtains microwave signal transmission data, wherein the microwave signal transmission data includes microwave type and microwave frequency band, and obtains microwave propagation speed according to the microwave type; A processing module, which obtains microwave signal reception data, the microwave signal is received by a receiver, processes the received data, the processing method includes filtering, amplifying and denoising, and sends the processed data to the terminal; The imaging module performs imaging processing on the object based on the collected information, obtains the electromagnetic properties of different materials, obtains microwave signal reflection data, and determines the material type and object structure based on the reflection data and electromagnetic properties; The three-dimensional construction module obtains multi-angle microwave data, performs three-dimensional reconstruction based on the multi-angle microwave data, material type and object structure, and sends the three-dimensional reconstruction results to the terminal.

[0012] Preferably, the processing module comprises: A microwave receiving unit, which obtains microwave signal reception data, wherein the microwave signal is received by a receiver, and the reception data includes frequency, amplitude and phase; A processing unit processes the received data, wherein the processing method includes filtering, amplifying and denoising, and obtaining processed data; The data aggregation unit aggregates the processed data and sends the aggregated data to the terminal.

[0013] Preferably, the imaging module comprises: An imaging processing unit performs imaging processing on the object according to the collected information, wherein the imaging processing includes calculation, and the calculation includes time calculation and distance calculation; An electromagnetic property unit, which obtains electromagnetic properties of different materials, including conductivity, dielectric constant and geometry; The reflection data unit obtains microwave signal reflection data and determines the material type and structure of the object based on the reflection data.

[0014] Preferably, the three-dimensional building block comprises: A three-dimensional reconstruction unit acquires multi-angle microwave data and performs three-dimensional reconstruction based on the multi-angle microwave data, material type and object structure; Surface smoothness unit, 3D reconstruction includes the 3D shape of the target object and the surface smoothness of the object, and the smoothness is determined by the reflection and absorption of microwaves; The visualization unit performs visualization processing on the 3D reconstruction result and sends the visualization processing result to the terminal.

[0015] Preferably, the three-dimensional reconstruction includes the three-dimensional shape of the target object and the surface smoothness of the object.

[0016] The embodiment of the present invention provides a microwave-based object detection imaging method, which obtains microwave signal emission data, obtains microwave propagation speed through microwave type, obtains microwave signal reception data, the microwave signal is received by a receiver, the reception data includes frequency, amplitude and phase, the reception data is processed, the processed data is obtained, the processed data is summarized, the summarized data is sent to a terminal, and the object is imaged according to the summarized information. The imaging processing includes calculation, the calculation includes time calculation and distance calculation, the electromagnetic characteristics of different materials are obtained, the microwave signal reflection data is obtained, the material type and the structure of the object are determined according to the reflection data, multi-angle microwave data is obtained, and three-dimensional reconstruction is performed through the multi-angle microwave data, the material type and the structure of the object. The three-dimensional reconstruction includes the three-dimensional shape of the target object and the surface smoothness of the object. The three-dimensional reconstruction result is visualized and sent to the terminal, which solves the problem that the microwave signal cannot be processed and analyzed to obtain the structure and surface smoothness of the object in the existing microwave imaging process, and a more realistic expression cannot be achieved during three-dimensional imaging. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A flowchart of a microwave-based object detection and imaging method provided by an embodiment of the present invention; Figure 2 A flowchart of the steps of obtaining microwave signal reception data, processing the received data, and sending the processed data to a terminal provided in an embodiment of the present invention; Figure 3 A flowchart of the steps of performing imaging processing on an object according to the aggregated information and determining the material type and structure of the object according to the reflection data and electromagnetic characteristics provided by an embodiment of the present invention; Figure 4 A flowchart of the steps of performing three-dimensional reconstruction using multi-angle microwave data, material type and object structure provided by an embodiment of the present invention; Figure 5 An architecture diagram of a microwave-based object detection and imaging system provided in an embodiment of the present invention; Figure 6 An architectural diagram of a processing module provided in an embodiment of the present invention; Figure 7 An architectural diagram of an imaging module provided by an embodiment of the present invention; Figure 8 An architectural diagram of a three-dimensional building module provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0019] It is understood that the terms "first", "second", etc. used in this application may be used herein to describe various elements, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish a first element from another element. For example, without departing from the scope of this application, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script.

[0020] like Figure 1 As shown, a microwave-based object detection imaging method is provided in an embodiment of the present invention, and the method includes: S100, obtaining microwave signal transmission data, wherein the microwave signal transmission data includes a microwave type and a microwave frequency band, and obtaining a microwave propagation speed according to the microwave type.

[0021] In this step, microwave signal transmission data is obtained. The microwave signal transmission data includes the type and frequency band of microwaves, which directly affect the propagation speed, penetration ability and behavior of microwave signals in different media. The propagation speed of microwaves is a very important parameter, which usually affects the transmission distance, quality, reflection and scattering characteristics of the signal; The types of microwave signals include continuous waves and pulse waves. Pulse waves are usually used to image objects. The frequency band of microwave signals determines its wavelength, penetration ability, resolution and other characteristics. In the field of object detection, Ku band (12-18GHz) and K band (18-27 GHz) are used. The microwave propagation speed is obtained by the microwave type. The microwave propagation speed will be reduced in different media.

[0022] S200, obtaining microwave signal reception data, the microwave signal is received by a receiver, the received data is processed, the processing method includes filtering, amplification and denoising, and the processed data is sent to the terminal.

[0023] In this step, microwave signal reception data is obtained. After the microwave signal is transmitted, it is reflected, scattered or absorbed by the object, and then received by the receiver. The receiver can be an antenna, etc. The received signal is affected by multiple factors, including distance, medium, characteristics of the object, etc. The received data is processed by filtering, amplification and denoising. Filtering is used to remove unnecessary frequency components and retain the signal of interest. Since microwave signals experience attenuation during propagation, the received signal is usually weak and may not provide enough information. In this case, an amplifier is needed to amplify the received signal to ensure that the signal strength is sufficient for subsequent processing. Denoising is to eliminate these unnecessary signal components, retain useful information, and send the processed data to the terminal.

[0024] S300, imaging the object according to the summarized information, obtaining electromagnetic properties of different materials, obtaining microwave signal reflection data, and determining the material type and object structure according to the reflection data and electromagnetic properties.

[0025] In this step, the object is imaged based on the summarized information. By combining microwave reflection data and electromagnetic characteristics, the material type, structure and shape of the object can be identified, and the electromagnetic characteristics of different materials can be obtained. When microwave signals interact with objects, the electromagnetic characteristics of the object will affect the propagation, reflection, refraction and transmission of microwave signals. Objects of different materials have different electromagnetic characteristics, and different materials have different electromagnetic characteristics, such as metals, ceramics, plastics and wood. These characteristics determine how they interact with microwave signals, including reflection and absorption; Acquire microwave signal reflection data. Through microwave reflection data, combined with the electromagnetic properties of known materials, material identification and structure inference can be performed. The geometric shape of the object can be inferred through the time delay and frequency characteristics of the microwave reflection signal. Many objects may be composed of multiple layers of different materials. Microwave reflection signals can not only reflect the surface characteristics of the object, but also infer the internal hierarchical structure of the object by analyzing the reflection characteristics of different frequency bands, and determine the material type and object structure based on the reflection data and electromagnetic characteristics.

[0026] S400, acquiring multi-angle microwave data, performing three-dimensional reconstruction based on the multi-angle microwave data, material type and object structure, and sending the three-dimensional reconstruction result to the terminal.

[0027] In this step, multi-angle microwave data is obtained. In order to achieve high-quality 3D reconstruction, it is first necessary to collect microwave signals from different angles of the object. Since microwave signals will be reflected according to the material, structure and shape of the object, data from multiple angles can provide more information about different surfaces and directions of the object; Three-dimensional reconstruction is performed through multi-angle microwave data, material type and object structure. Different materials and structures have different effects on the reflection, absorption and refraction of microwave signals. Three-dimensional reconstruction is performed based on the collected multi-angle microwave data and the material and structure information of the object; After completing the 3D reconstruction, the results are usually output in the form of 3D coordinate data, mesh model or point cloud data. The 3D reconstruction results are sent to the terminal for subsequent analysis, viewing or further processing.

[0028] like Figure 2 As shown, as a preferred embodiment of the present invention, the microwave signal receiving data is obtained, the microwave signal is received by a receiver, the received data is processed, and the processing method includes filtering, amplification and denoising, and the processed data is sent to the terminal. The steps specifically include: S201, acquiring microwave signal reception data, where the microwave signal is received by a receiver, and the reception data includes frequency, amplitude and phase.

[0029] In this step, microwave signal reception data is obtained. After the microwave signal is transmitted, it is reflected, scattered or absorbed by the object, and then received by the receiver. The receiver can be an antenna, etc. The received signal is affected by multiple factors, including distance, medium, characteristics of the object, etc. The received data includes frequency, amplitude and phase. Frequency is the rate of signal change, indicating the number of times the signal fluctuates per unit time. The frequency of the microwave signal determines the key characteristics of the signal, such as wavelength, penetration ability and resolution. Amplitude indicates the strength or energy of the signal, which is usually related to the reflection intensity and distance of the target object. The amplitude reflects the strength of the signal reflected by the target. The closer to the target or the higher the reflectivity of the target, the greater the amplitude of the signal. Phase refers to the starting position of the signal waveform, which determines the time domain characteristics of the signal. The phase of a microwave signal is related to the propagation path and time delay of the signal. Phase information can be used to infer the position, speed, shape and other characteristics of the target; These three parameters are the basic characteristics of microwave signals and are often interrelated. The changes in frequency, amplitude and phase reflect the propagation characteristics of the signal in space, the reflection characteristics of the target object and the influence of the environment. By measuring frequency, amplitude and phase, it is possible to image, locate and dynamically analyze the target.

[0030] S202, processing the received data, wherein the processing method includes filtering, amplification and denoising, and obtaining processed data.

[0031] In this step, the received data is processed, including filtering, amplification and denoising, and the processed data is obtained. Unnecessary frequency components are removed by filtering to retain the signal of interest. Since microwave signals experience attenuation during propagation, the received signal is usually weak and may not provide enough information. In this case, an amplifier is needed to amplify the received signal to ensure that the signal strength is sufficient for subsequent processing. Denoising is to eliminate these unnecessary signal components and retain useful information. Obtaining processed data can provide more accurate signal information. By analyzing these signals, the position, speed, shape and material of the object can be inferred, ensuring the accuracy of subsequent data analysis.

[0032] S203, summarizing the processed data and sending the summarized data to the terminal.

[0033] In this step, the processed data is summarized. The purpose of data summary is to integrate the key features extracted from the microwave signal, such as the location, speed and shape information of the object, and transmit this information to the terminal device for further analysis, display and decision-making. Data summary not only includes the integration of information, but also requires necessary simplification and optimization of data to ensure efficient transmission and low-latency response, and send the summarized data to the terminal for subsequent analysis and decision-making.

[0034] like Figure 3 As shown, as a preferred embodiment of the present invention, the steps of performing imaging processing on the object according to the aggregated information, obtaining electromagnetic properties of different materials, obtaining microwave signal reflection data, and determining the material type and the structure of the object according to the reflection data and the electromagnetic properties specifically include: S301, performing imaging processing on the object according to the summarized information, wherein the imaging processing includes calculation, and the calculation includes time calculation and distance calculation.

[0035] In this step, the object is imaged based on the collected information. The imaging process includes time calculation and distance calculation. Time calculation usually refers to estimating the spatial position of the object by measuring the time from the emission of the microwave signal to the reception of the reflected signal. Because the microwave signal propagates at the speed of light, the distance of the object can be calculated by the time difference; d = (c × Δt) / 2 d is the distance from the object to the sensor, c is the speed of light (about 3×10 8 m / s, Δt is the time delay of the signal, that is, the time difference from transmission to reception; Distance calculation is based on time calculation and can be used to further determine the shape, size and spatial position of an object. Distance calculation is usually based on the known propagation speed and time delay of the microwave signal, directly calculating the distance between the object and the receiver, and then through multi-point and multi-angle data collection, an accurate image of the object can be constructed.

[0036] S302, obtaining electromagnetic properties of different materials, wherein the electromagnetic properties include conductivity, dielectric constant and geometric shape.

[0037] In this step, the electromagnetic properties of different materials are obtained, including conductivity, dielectric constant and geometry. Conductivity refers to the ability of a material to conduct electric current and is a key parameter in electromagnetism to describe the flow of charge. Materials with high conductivity, such as metals, have strong reflectivity to microwave signals, while materials with low conductivity, such as ceramics and plastics, have better microwave penetration. Therefore, the material can be identified by the strength of the reflected signal; The dielectric constant is the material's ability to respond to an electric field, describing the material's ability to store and conduct electrical energy in an electric field. Materials with a high dielectric constant have a stronger electric field attraction and can better interact with microwave signals, affecting the signal's propagation speed and reflection characteristics; Geometry is the physical shape and size characteristics of an object, which directly affects the reflection, scattering and diffraction patterns of microwave signals. Objects of different shapes exhibit different electromagnetic wave behaviors in microwave imaging. Flat metal surfaces will reflect most of the microwave signals back, while irregular or complex surfaces may cause complex phenomena such as scattering and refraction of microwave signals, affecting the pattern of reflected signals.

[0038] S303, obtaining microwave signal reflection data, and determining the material type and structure of the object based on the reflection data.

[0039] In this step, microwave signal reflection data is obtained. When microwave signals are transmitted to the surface of an object, they are partially reflected back to the receiver. The strength of the reflected signal can reflect the reflection characteristics of the surface of the object, which is usually related to the conductivity, surface smoothness and material of the object. The time delay from signal transmission to reception provides the distance information of the object. If the object is moving or changing shape, the frequency will have a Doppler effect, reflecting the object's speed or shape change. The material of the object determines the reflection, absorption and transmission characteristics of the microwave signal. By analyzing the intensity, frequency response, phase change and other information of the reflected signal, the material type of the object can be inferred; The geometric shape and internal structure of an object will affect the propagation mode and reflection pattern of microwave signals. By analyzing the reflection data, the shape and structure of the object can be inferred. The smoother the surface of the object, the more regular the reflection pattern of the reflected signal and the greater the reflection intensity. For example, metal surfaces are usually smooth and can produce strong and regular reflection signals. For rough object surfaces, the signal will be scattered, the waveform of the reflected signal may become more complex, and the intensity may be weaker.

[0040] like Figure 4 As shown, as a preferred embodiment of the present invention, the steps of acquiring multi-angle microwave data, performing three-dimensional reconstruction based on the multi-angle microwave data, material type and object structure, and sending the three-dimensional reconstruction result to the terminal specifically include: S401, acquiring multi-angle microwave data, and performing three-dimensional reconstruction based on the multi-angle microwave data, material type and object structure.

[0041] In this step, multi-angle microwave data is obtained. In order to fully obtain the three-dimensional data of the object, the object needs to be scanned from multiple different angles. The data collected at each angle will be different, so it can provide more comprehensive perspective information. Move the transmitter and receiver along the circumference of the object to perform a 360-degree scan, scan from multiple different heights and tilt angles, and collect data from different directions such as above, side, and below; After obtaining microwave reflection data from multiple angles, the next step is to process it in combination with the material type and structural information of the object. Different materials have different reflection, absorption and transmission behaviors for microwave signals, so when reconstructing the object, this needs to be taken into account. By analyzing the time delay of the reflected signal, that is, the time it takes for the signal to reflect from the object back to the receiver, the distance between the object and the receiver can be calculated. The surface shape of the object can be determined by the reflection data obtained from different angles.

[0042] S402, 3D reconstruction includes the 3D shape of the target object and the surface smoothness of the object, and the smoothness is determined by the reflection and absorption of microwaves.

[0043] In this step, the 3D reconstruction includes the 3D shape of the target object and the surface smoothness of the object. The surface smoothness of the object has a significant impact on the reflection, absorption and propagation path of microwaves. Smooth surfaces will return microwave signals with stronger reflections, while rough surfaces will cause more scattering, resulting in weaker and unevenly distributed reflected signals. The strength of the reflected signal is an important indicator for evaluating the smoothness of an object's surface. By analyzing the strength of the reflected signal at different angles, if the reflected signal is strong and consistent at multiple angles, it means that the surface of the object is relatively smooth; Suppose we use microwave data to reconstruct a metal plate in 3D. For a metal plate with a smooth surface, the reflection signal is strong and consistent, and the reconstructed 3D model has a smooth surface and no obvious defects. However, for a metal plate with a rough surface, the reflection signal is weak and has a large scattering, and the reconstructed 3D model may have irregular protrusions and depressions on the surface.

[0044] S403: Perform visualization processing on the 3D reconstruction result, and send the visualization processing result to the terminal.

[0045] In this step, the 3D reconstruction results are visualized. The visualization of 3D reconstruction is to convert the 3D model data obtained through microwave data into a graphical form that is easy to understand and operate, so as to facilitate the user to analyze and make decisions. Through visualization, users can more intuitively view the shape, structure, surface characteristics and other information of the target object; Sending visualization processing results to the terminal not only helps users quickly understand the morphology, structure and surface characteristics of objects, but also improves the efficiency and accuracy of data analysis.

[0046] like Figure 5 As shown, a microwave-based object detection imaging system provided by an embodiment of the present invention includes: The signal module 100 is used to obtain microwave signal transmission data, wherein the microwave signal transmission data includes microwave type and microwave frequency band, and the microwave propagation speed is obtained through the microwave type.

[0047] In this system, the signal module 100 obtains microwave signal transmission data, which includes the type and frequency of microwaves, which directly affect the propagation speed, penetration ability and behavior of microwave signals in different media. The propagation speed of microwaves is a very important parameter, which usually affects the transmission distance, quality, reflection and scattering characteristics of the signal; The types of microwave signals include continuous waves and pulse waves. Pulse waves are usually used to image objects. The frequency band of microwave signals determines its wavelength, penetration ability, resolution and other characteristics. In the field of object detection, Ku band (12-18GHz) and K band (18-27 GHz) are used. The microwave propagation speed is obtained by the microwave type. The microwave propagation speed will be reduced in different media.

[0048] The processing module 200 is used to obtain microwave signal reception data. The microwave signal is received by a receiver, and the received data is processed. The processing method includes filtering, amplification and denoising, and the processed data is sent to the terminal.

[0049] In the present system, the processing module 200 obtains microwave signal reception data. After the microwave signal is transmitted, it is reflected, scattered or absorbed by an object, and then received by a receiver. The receiver may be an antenna, etc. The received signal is affected by multiple factors, including distance, medium, characteristics of the object, etc.; The received data is processed by filtering, amplification and denoising. Filtering is used to remove unnecessary frequency components and retain the signal of interest. Since microwave signals experience attenuation during propagation, the received signal is usually weak and may not provide enough information. In this case, an amplifier is needed to amplify the received signal to ensure that the signal strength is sufficient for subsequent processing. Denoising is to eliminate these unnecessary signal components, retain useful information, and send the processed data to the terminal.

[0050] The imaging module 300 is used to perform imaging processing on the object according to the summarized information, obtain the electromagnetic properties of different materials, obtain microwave signal reflection data, and determine the material type and object structure based on the reflection data and electromagnetic properties.

[0051] In this system, the imaging module 300 performs imaging processing on the object based on the summarized information. By combining microwave reflection data and electromagnetic characteristics, it is possible to identify the material type, structure and shape of the object and obtain the electromagnetic characteristics of different materials. When microwave signals interact with objects, the electromagnetic characteristics of the object will affect the propagation, reflection, refraction and transmission of microwave signals. Objects of different materials have different electromagnetic characteristics, and different materials have different electromagnetic characteristics, such as metal, ceramic, plastic and wood. These characteristics determine how they interact with microwave signals, including reflection and absorption; Acquire microwave signal reflection data. Through microwave reflection data, combined with the electromagnetic properties of known materials, material identification and structure inference can be performed. The geometric shape of the object can be inferred through the time delay and frequency characteristics of the microwave reflection signal. Many objects may be composed of multiple layers of different materials. Microwave reflection signals can not only reflect the surface characteristics of the object, but also infer the internal hierarchical structure of the object by analyzing the reflection characteristics of different frequency bands, and determine the material type and object structure based on the reflection data and electromagnetic characteristics.

[0052] The three-dimensional construction module 400 is used to obtain multi-angle microwave data, perform three-dimensional reconstruction based on the multi-angle microwave data, material type and object structure, and send the three-dimensional reconstruction result to the terminal.

[0053] In this system, the 3D construction module 400 obtains multi-angle microwave data. In order to achieve high-quality 3D reconstruction, it is first necessary to collect microwave signals from different angles of the object. Since microwave signals will be reflected according to the material, structure and shape of the object, data from multiple angles can provide more information about different surfaces and directions of the object; Three-dimensional reconstruction is performed through multi-angle microwave data, material type and object structure. Different materials and structures have different effects on the reflection, absorption and refraction of microwave signals. Three-dimensional reconstruction is performed based on the collected multi-angle microwave data and the material and structure information of the object; After completing the 3D reconstruction, the results are usually output in the form of 3D coordinate data, mesh model or point cloud data. The 3D reconstruction results are sent to the terminal for subsequent analysis, viewing or further processing.

[0054] like Figure 6 As shown, as a preferred embodiment of the present invention, the processing module 200 includes: The microwave receiving unit 201 is used to obtain microwave signal reception data, where the microwave signal is received by a receiver, and the reception data includes frequency, amplitude and phase.

[0055] In this module, the microwave receiving unit 201 obtains microwave signal reception data. After the microwave signal is transmitted, it is reflected, scattered or absorbed by the object, and then received by the receiver. The receiver can use an antenna, etc. The received signal is affected by multiple factors, including distance, medium, characteristics of the object, etc. The received data includes frequency, amplitude and phase. Frequency is the rate of signal change, indicating the number of times the signal fluctuates per unit time. The frequency of the microwave signal determines the key characteristics of the signal, such as wavelength, penetration ability and resolution. Amplitude indicates the strength or energy of the signal, which is usually related to the reflection intensity and distance of the target object. The amplitude reflects the strength of the signal reflected by the target. The closer to the target or the higher the reflectivity of the target, the greater the amplitude of the signal. Phase refers to the starting position of the signal waveform, which determines the time domain characteristics of the signal. The phase of a microwave signal is related to the propagation path and time delay of the signal. Phase information can be used to infer the position, speed, shape and other characteristics of the target; These three parameters are the basic characteristics of microwave signals and are often interrelated. The changes in frequency, amplitude and phase reflect the propagation characteristics of the signal in space, the reflection characteristics of the target object and the influence of the environment. By measuring frequency, amplitude and phase, it is possible to image, locate and dynamically analyze the target.

[0056] The processing unit 202 is used to process the received data, and the processing method includes filtering, amplification and denoising to obtain processed data.

[0057] In this module, the processing unit 202 processes the received data, and the processing methods include filtering, amplification and denoising, and obtains the processed data, removes unnecessary frequency components through filtering, and retains the signal of interest. Since microwave signals experience attenuation during propagation, the received signals are usually weak and may not provide sufficient information. In this case, an amplifier is needed to amplify the received signal to ensure that the signal strength is sufficient for subsequent processing. Denoising is to eliminate these unnecessary signal components and retain useful information; Obtaining processed data can provide more accurate signal information. By analyzing these signals, the position, speed, shape and material of the object can be inferred, ensuring the accuracy of subsequent data analysis.

[0058] The data summarizing unit 203 is used to summarize the processed data and send the summarized data to the terminal.

[0059] In this module, the data aggregation unit 203 aggregates the processed data. The purpose of data aggregation is to integrate the key features extracted from the microwave signal, such as the position, speed and shape information of the object, and transmit this information to the terminal device for further analysis, display and decision-making. Data aggregation not only includes the integration of information, but also requires necessary simplification and optimization of data to ensure efficient transmission and low-latency response, and send the aggregated data to the terminal for subsequent analysis and decision-making.

[0060] like Figure 7 As shown, as a preferred embodiment of the present invention, the imaging module 300 includes: The imaging processing unit 301 is used to perform imaging processing on the object according to the summarized information, wherein the imaging processing includes calculation, and the calculation includes time calculation and distance calculation.

[0061] In this module, the imaging processing unit 301 performs imaging processing on the object based on the collected information. The imaging processing includes time calculation and distance calculation. Time calculation usually refers to estimating the spatial position of the object by measuring the time from the emission of the microwave signal to the reception of the reflected signal. Because the microwave signal propagates at the speed of light, the distance of the object can be calculated by the time difference; d = (c × Δt) / 2 d is the distance from the object to the sensor, c is the speed of light (about 3×10 8 m / s, Δt is the time delay of the signal, that is, the time difference from transmission to reception; Distance calculation is based on time calculation and can be used to further determine the shape, size and spatial position of an object. Distance calculation is usually based on the known propagation speed and time delay of the microwave signal, directly calculating the distance between the object and the receiver, and then through multi-point and multi-angle data collection, an accurate image of the object can be constructed.

[0062] The electromagnetic property unit 302 is used to obtain the electromagnetic properties of different materials, wherein the electromagnetic properties include conductivity, dielectric constant and geometry.

[0063] In this module, the electromagnetic property unit 302 obtains the electromagnetic properties of different materials, including conductivity, dielectric constant and geometry. Conductivity refers to the ability of a material to conduct current and is a key parameter in electromagnetism to describe the flow of charge. Materials with high conductivity, such as metals, have strong reflectivity to microwave signals, while materials with low conductivity, such as ceramics and plastics, have better microwave penetration. Therefore, the material can be identified by the strength of the reflected signal; The dielectric constant is the material's ability to respond to an electric field, describing the material's ability to store and conduct electrical energy in an electric field. Materials with a high dielectric constant have a stronger electric field attraction and can better interact with microwave signals, affecting the signal's propagation speed and reflection characteristics; Geometry is the physical shape and size characteristics of an object, which directly affects the reflection, scattering and diffraction patterns of microwave signals. Objects of different shapes exhibit different electromagnetic wave behaviors in microwave imaging. Flat metal surfaces will reflect most of the microwave signals back, while irregular or complex surfaces may cause complex phenomena such as scattering and refraction of microwave signals, affecting the pattern of reflected signals.

[0064] The reflection data unit 303 is used to obtain microwave signal reflection data and determine the material type and structure of the object according to the reflection data.

[0065] In this module, the reflection data unit 303 obtains microwave signal reflection data. When the microwave signal is transmitted to the surface of an object, it will be partially reflected back to the receiver. The intensity of the reflected signal can reflect the reflection characteristics of the surface of the object, which is usually related to the conductivity, surface smoothness and material of the object. The time delay from the transmission to the reception of the signal provides the distance information of the object. If the object is moving or changing shape, the frequency will have a Doppler effect, reflecting the object's speed or shape change. The material of the object determines the reflection, absorption and transmission characteristics of the microwave signal. By analyzing the intensity, frequency response, phase change and other information of the reflected signal, the material type of the object can be inferred; The geometric shape and internal structure of an object will affect the propagation mode and reflection pattern of microwave signals. By analyzing the reflection data, the shape and structure of the object can be inferred. The smoother the surface of the object, the more regular the reflection pattern of the reflected signal and the greater the reflection intensity. For example, metal surfaces are usually smooth and can produce strong and regular reflection signals. For rough object surfaces, the signal will be scattered, the waveform of the reflected signal may become more complex, and the intensity may be weaker.

[0066] like Figure 8 As shown, as a preferred embodiment of the present invention, the three-dimensional building module 400 includes: The three-dimensional reconstruction unit 401 is used to obtain multi-angle microwave data and perform three-dimensional reconstruction based on the multi-angle microwave data, material type and object structure.

[0067] In this module, the 3D reconstruction unit 401 acquires multi-angle microwave data. In order to fully acquire the 3D data of the object, the object needs to be scanned from multiple different angles. The data collected at each angle will be different, so it can provide more comprehensive viewing angle information. The transmitter and receiver are moved along the circumference of the object to perform a 360-degree scan, scan from multiple different heights and tilt angles, and collect data from different directions such as above, side, and below; After obtaining microwave reflection data from multiple angles, the next step is to process it in combination with the material type and structural information of the object. Different materials have different reflection, absorption and transmission behaviors for microwave signals, so when reconstructing the object, this needs to be taken into account. By analyzing the time delay of the reflected signal, that is, the time it takes for the signal to reflect from the object back to the receiver, the distance between the object and the receiver can be calculated. The surface shape of the object can be determined by the reflection data obtained from different angles.

[0068] The surface smoothness unit 402 is used for three-dimensional reconstruction including the three-dimensional shape of the target object and the surface smoothness of the object, and the smoothness is determined by the reflection and absorption of microwaves.

[0069] In this module, the three-dimensional reconstruction of the surface smoothness unit 402 includes the three-dimensional shape of the target object and the surface smoothness of the object. The smoothness of the surface of the object has a significant impact on the reflection, absorption and propagation path of the microwave. A smooth surface will return the microwave signal with a stronger reflection, while a rough surface will cause more scattering, resulting in a weaker and unevenly distributed reflected signal; The strength of the reflected signal is an important indicator for evaluating the smoothness of an object's surface. By analyzing the strength of the reflected signal at different angles, if the reflected signal is strong and consistent at multiple angles, it means that the surface of the object is relatively smooth; Suppose we use microwave data to reconstruct a metal plate in 3D. For a metal plate with a smooth surface, the reflection signal is strong and consistent, and the reconstructed 3D model has a smooth surface and no obvious defects. However, for a metal plate with a rough surface, the reflection signal is weak and has a large scattering, and the reconstructed 3D model may have irregular protrusions and depressions on the surface.

[0070] The visualization unit 403 is used to perform visualization processing on the 3D reconstruction result and send the visualization processing result to the terminal.

[0071] In this module, the visualization unit 403 performs visualization processing on the 3D reconstruction results. The visualization processing of 3D reconstruction is to convert the 3D model data obtained through microwave data into a graphical form that is easy to understand and operate, so as to facilitate the user to analyze and make decisions. Through visualization processing, the user can more intuitively view the shape, structure, surface characteristics and other information of the target object; Sending visualization processing results to the terminal not only helps users quickly understand the morphology, structure and surface characteristics of objects, but also improves the efficiency and accuracy of data analysis.

[0072] In one embodiment, a computer device is provided, the computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the following steps are implemented: Acquire microwave signal transmission data, wherein the microwave signal transmission data includes microwave type and microwave frequency band, and acquire microwave propagation speed according to the microwave type; Acquire microwave signal reception data, the microwave signal is received by a receiver, the received data is processed, the processing method includes filtering, amplification and denoising, and the processed data is sent to the terminal; Perform imaging processing on the objects based on the collected information, obtain the electromagnetic characteristics of different materials, obtain microwave signal reflection data, and determine the material type and object structure based on the reflection data and electromagnetic characteristics; Acquire multi-angle microwave data, perform three-dimensional reconstruction based on multi-angle microwave data, material type and object structure, and send the three-dimensional reconstruction results to the terminal.

[0073] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the processor performs the following steps: Acquire microwave signal transmission data, wherein the microwave signal transmission data includes microwave type and microwave frequency band, and acquire microwave propagation speed according to the microwave type; Acquire microwave signal reception data, the microwave signal is received by a receiver, the received data is processed, the processing method includes filtering, amplification and denoising, and the processed data is sent to the terminal; Perform imaging processing on the objects based on the collected information, obtain the electromagnetic characteristics of different materials, obtain microwave signal reflection data, and determine the material type and object structure based on the reflection data and electromagnetic characteristics; Acquire multi-angle microwave data, perform three-dimensional reconstruction based on multi-angle microwave data, material type and object structure, and send the three-dimensional reconstruction results to the terminal.

[0074] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0075] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0076] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0077] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0078] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A microwave-based object detection imaging method, characterized in that: The method comprises: Acquire microwave signal transmission data, wherein the microwave signal transmission data includes microwave type and microwave frequency band, and acquire microwave propagation speed according to the microwave type; Acquire microwave signal reception data, the microwave signal is received by a receiver, the received data is processed, the processing method includes filtering, amplification and denoising, and the processed data is sent to the terminal; Perform imaging processing on the objects based on the collected information, obtain the electromagnetic characteristics of different materials, obtain microwave signal reflection data, and determine the material type and object structure based on the reflection data and electromagnetic characteristics; Acquire multi-angle microwave data, perform three-dimensional reconstruction based on multi-angle microwave data, material type and object structure, and send the three-dimensional reconstruction results to the terminal.

2. The method for object detection and imaging based on microwaves according to claim 1, characterized in that: The step of obtaining microwave signal reception data, wherein the microwave signal is received by a receiver, processing the received data, wherein the processing method includes filtering, amplifying and denoising, and sending the processed data to the terminal specifically includes: Acquiring microwave signal reception data, wherein the microwave signal is received by a receiver, and the reception data includes frequency, amplitude and phase; Processing the received data, wherein the processing method includes filtering, amplifying and denoising, to obtain processed data; The processed data is aggregated and sent to the terminal.

3. The microwave-based object detection imaging method according to claim 1, characterized in that: The steps of imaging the object according to the collected information, obtaining electromagnetic properties of different materials, obtaining microwave signal reflection data, and determining the material type and the structure of the object according to the reflection data and the electromagnetic properties specifically include: Performing imaging processing on the object according to the collected information, wherein the imaging processing includes calculation, and the calculation includes time calculation and distance calculation; Obtaining electromagnetic properties of different materials, including conductivity, dielectric constant and geometry; Obtain microwave signal reflection data and determine the material type and structure of the object based on the reflection data.

4. The microwave-based object detection imaging method according to claim 1, characterized in that: The step of acquiring multi-angle microwave data, performing three-dimensional reconstruction based on the multi-angle microwave data, material type and object structure, and sending the three-dimensional reconstruction result to the terminal specifically includes: Acquire multi-angle microwave data, and perform 3D reconstruction based on multi-angle microwave data, material type and object structure; The three-dimensional reconstruction includes the three-dimensional shape of the target object and the surface smoothness of the object, and the smoothness is determined by the reflection and absorption of microwaves; Perform visualization on the 3D reconstruction results and send the visualization results to the terminal.

5. The microwave-based object detection imaging method according to claim 1, characterized in that: The three-dimensional reconstruction includes the three-dimensional shape of the target object and the surface smoothness of the object.

6. A microwave-based object detection imaging system, characterized in that: The system comprises: A signal module, which obtains microwave signal transmission data, wherein the microwave signal transmission data includes microwave type and microwave frequency band, and obtains microwave propagation speed according to the microwave type; A processing module, which obtains microwave signal reception data, the microwave signal is received by a receiver, processes the received data, the processing method includes filtering, amplifying and denoising, and sends the processed data to the terminal; The imaging module performs imaging processing on the object based on the collected information, obtains the electromagnetic characteristics of different materials, obtains microwave signal reflection data, and determines the material type and object structure based on the reflection data and electromagnetic characteristics; The three-dimensional construction module obtains multi-angle microwave data, performs three-dimensional reconstruction based on the multi-angle microwave data, material type and object structure, and sends the three-dimensional reconstruction results to the terminal.

7. The microwave-based object detection imaging system according to claim 6, characterized in that: The processing module comprises: A microwave receiving unit, which obtains microwave signal reception data, wherein the microwave signal is received by a receiver, and the reception data includes frequency, amplitude and phase; A processing unit processes the received data, wherein the processing method includes filtering, amplifying and denoising, and obtaining processed data; The data aggregation unit aggregates the processed data and sends the aggregated data to the terminal.

8. The microwave-based object detection imaging system according to claim 7, characterized in that: The imaging module comprises: An imaging processing unit performs imaging processing on the object according to the collected information, wherein the imaging processing includes calculation, and the calculation includes time calculation and distance calculation; An electromagnetic property unit, which obtains electromagnetic properties of different materials, including conductivity, dielectric constant and geometry; The reflection data unit obtains microwave signal reflection data and determines the material type and structure of the object based on the reflection data.

9. The microwave-based object detection imaging system according to claim 8, characterized in that: The three-dimensional building block comprises: A three-dimensional reconstruction unit acquires multi-angle microwave data and performs three-dimensional reconstruction based on the multi-angle microwave data, material type and object structure; Surface smoothness unit, 3D reconstruction includes the 3D shape of the target object and the surface smoothness of the object, and the smoothness is determined by the reflection and absorption of microwaves; The visualization unit performs visualization processing on the 3D reconstruction result and sends the visualization processing result to the terminal.

10. The microwave-based object detection imaging system according to claim 9, characterized in that: The three-dimensional reconstruction includes the three-dimensional shape of the target object and the surface smoothness of the object.

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