Military camouflage facility with high hiding performance

Abstract

The invention provides a military camouflage facility with high hiding property, which comprises a camouflage facility, the surface layer of the camouflage facility adopts a gradient composite structure and is divided into a dynamic optical camouflage layer, an infrared thermal regulation and control layer and a radar wave absorption layer from outside to inside, the dynamic optical camouflage layer adopts a composite film of an electrochromic polymer and a photochromic dye, and the infrared thermal regulation and control layer adopts an infrared thermal regulation and control layer. The color and pattern switching can be completed within 0.3 second through pixelated control, the optical characteristics of the surrounding environment are accurately matched, the infrared thermal regulation and control layer actively regulates the surface thermal radiation distribution according to the environment temperature change, the thermal fusion with the background environment is realized, the radar wave absorption layer adopts a gradient impedance metamaterial and a honeycomb structure substrate, and the gradient impedance metamaterial and the honeycomb structure substrate are integrated. The dynamic optical camouflage layer, the infrared thermal regulation and control layer, the radar wave absorption layer and the intelligent environment perception and regulation and control system are combined to resist multiple detection means of a modern battlefield, and the dynamic response speed is improved within 0.5 second in a breakthrough mode.

Description

Technical Field

[0001] The invention relates to the technical field of military facilities, in particular to a military camouflage facility with high concealment. Background Art

[0002] At present, traditional military camouflage technology mostly relies on a single means, such as camouflage paint, camouflage nets or static shields. Its limitation is that it is difficult to cope with the rapid development of modern multi-spectrum detection technology. For example, visible light camouflage cannot avoid infrared thermal imaging detection, and radar absorbing materials are ineffective against acoustic or optical detection. In addition, most existing camouflage facilities are static in design and cannot dynamically adjust the concealment characteristics according to environmental changes. In recent years, although some studies have tried to combine smart materials or adaptive systems, most of them have problems such as high cost, slow response speed or insufficient compatibility. Therefore, there is an urgent need for an integrated, highly adaptable and cost-controlled camouflage solution. Summary of the invention

[0003] In view of this, in order to solve the problems existing in the technical background, the present invention proposes a military camouflage facility with high concealment, which is particularly suitable for the concealment needs of field troops, military bases, weapons and equipment, and key facilities. The facility significantly improves the concealment effect of military targets through the application of multi-modal camouflage, environmental perception and control systems, and enables it to have excellent anti-detection capabilities under multi-spectrum detection such as visible light, infrared, radar and acoustics. The specific technical solution is as follows: A military camouflage facility with high concealment, comprising a camouflage facility, wherein the surface layer of the camouflage facility adopts a gradient composite structure, and is divided into a dynamic optical camouflage layer, an infrared heat regulation layer, and a radar wave absorption layer from the outside to the inside. The dynamic optical camouflage layer adopts a composite film of an electrochromic polymer and a photochromic dye, and can complete the switching of colors and patterns within 0.3 seconds through pixelation control, accurately matching the optical characteristics of the surrounding environment. The infrared heat regulation layer actively adjusts the surface thermal radiation distribution according to the change of the ambient temperature to achieve thermal fusion with the background environment. The radar wave absorption layer adopts a gradient impedance metamaterial and a honeycomb structure substrate, and achieves excellent radar wave absorption performance in a wide frequency band range of 1-40 GHz, and the reflectivity can be as low as below -20 dB; The camouflage facility includes an intelligent environment perception and control system, which includes a multi-sensor array, an edge computing unit and an actuator. The sensor array includes a high-resolution optical camera, an infrared thermal imager, a millimeter-wave radar and an acoustic detector, which monitors various characteristic parameters of the surrounding environment in real time around the clock. The edge computing unit completes the control from environmental perception to camouflage adjustment.

[0004] Furthermore, the dynamic optical camouflage layer, infrared heat regulation layer, and radar wave absorption layer are seamlessly integrated through nano-level bonding technology, with an overall thickness of 8-10 mm and a surface density of no more than 1-3 kg / m².

[0005] Furthermore, the optical camera in the multi-sensor array adopts a 50-megapixel global shutter CMOS, supports visible light and near-infrared (NIR) band imaging, the infrared thermal imager is an uncooled microbolometer with a resolution of 640×512, and the millimeter-wave radar is a FMCW system with an operating frequency band of 24GHz / 77GHz, which is used to detect the direction of enemy radar illumination. The acoustic detector adopts a MEMS microphone array, which can identify the voiceprint characteristics of drones and vehicle targets.

[0006] Furthermore, the edge computing unit includes an AI chip accelerated by NPU, an image segmentation algorithm (such as U-Net) to extract background texture in real time and generate the optimal camouflage pattern, a thermal radiation simulation algorithm based on a heat transfer model to calculate the driving parameters of TEC, and a threat assessment module to predict enemy detection mode and switch camouflage strategies through multi-sensor data fusion.

[0007] Furthermore, the core processor in the edge computing unit adopts a neural processing unit (NPU) designed for AI computing, and its architecture is deeply optimized for convolutional neural networks. The image segmentation algorithm adopts the U-Net++ architecture, and introduces nested jump connections and deep supervision mechanisms based on the standard U-Net. The encoder part extracts multi-scale features through the ResNet-50 backbone network, and the decoder uses sub-pixel convolution for upsampling to reduce information loss. The thermal radiation simulation is based on the finite element analysis (FEA) framework, coupling the three heat transfer modes of conduction, convection, and radiation. The algorithm uses the Monte Carlo ray tracing method to calculate the surface radiation characteristics, and establishes the energy balance equation through the Stefan-Boltzmann law. The adaptive PID controller is combined for TEC drive parameter optimization, and the drive current is dynamically adjusted through real-time temperature field feedback. The thermal radiation simulation algorithm is based on the finite element analysis (FEA) framework, coupling the three heat transfer modes of conduction, convection, and radiation, and using the Monte Carlo ray tracing method to calculate the surface radiation characteristics. The energy balance equation is established through the Stefan-Boltzmann law, and the drive current is dynamically adjusted through real-time temperature field feedback.

[0008] Furthermore, in the edge computing unit, the entire delay from sensor input to camouflage layer adjustment is completed <0.5 seconds.

[0009] The above technical solution has the following beneficial effects: The present invention combines a dynamic optical camouflage layer, an infrared thermal regulation layer, a radar wave absorption layer and an intelligent environmental perception and control system to combat various detection methods on modern battlefields. The dynamic response speed is improved to less than 0.5 seconds. The dynamic optical camouflage layer generates bionic textures in real time through a 50-megapixel CMOS sensor and the U-Net++ algorithm, and cooperates with electrochromic polymers to achieve color switching in 0.3 seconds. The infrared thermal regulation layer dynamically simulates the environmental heat distribution based on finite element analysis, and achieves precise thermal fusion of ±0.5°C through adaptive PID control. The radar wave absorption layer uses gradient metamaterials to achieve a reflectivity of -20dB in the 1-40GHz frequency band, forming a broadband electromagnetic black hole effect. The present invention can synchronously counter the composite scanning of multi-modal detection equipment. The multi-sensor array integrates optical, thermal imaging, millimeter-wave radar and acoustic data. The edge computing unit accelerated by NPU realizes triple intelligence: real-time environmental modeling, threat mode prediction, and dynamic strategy optimization. The delay from detection to response of the system is controlled within 0.5 seconds to form a closed-loop countermeasure link. The overall structure thickness is only 8-10mm, and the surface density is 1-3kg / m². Nano-scale vacuum bonding technology is used to achieve seamless integration of various functional layers. The infrared control layer adopts a bidirectional heat conduction structure, which absorbs ambient heat during the day to reduce its own thermal contrast, and actively dissipates heat through TEC semiconductors at night, and cooperates with the honeycomb substrate to form a honeycomb-like thermal buffer effect; the gradient impedance design of the radar absorption layer realizes impedance matching in a wide frequency band, converts electromagnetic wave energy into heat dissipation, and improves the efficiency by 40% compared with traditional absorbing materials. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a schematic diagram of the inner structure of the surface layer of a camouflage facility of a military camouflage facility with high concealment according to the present invention; Figure 2 A flow module diagram of a camouflage facility of a military camouflage facility with high concealment according to the present invention; DETAILED DESCRIPTION

[0011] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments 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.

[0012] See also Figure 1-Figure 2A military camouflage facility with high concealment shown in the figure includes a camouflage facility, the surface layer of the camouflage facility adopts a gradient composite structure, and is divided into a dynamic optical camouflage layer, an infrared heat regulation layer, and a radar wave absorption layer from the outside to the inside. The dynamic optical camouflage layer adopts a composite film of an electrochromic polymer and a photochromic dye, and can complete the switching of colors and patterns within 0.3 seconds through pixelation control, accurately matching the optical characteristics of the surrounding environment. The infrared heat regulation layer actively adjusts the surface thermal radiation distribution according to the change of ambient temperature to achieve thermal fusion with the background environment. The radar wave absorption layer adopts a gradient impedance metamaterial and a honeycomb structure substrate to achieve excellent radar wave absorption performance in a wide frequency band range of 1-40GHz, and the reflectivity can be as low as below -20dB; The camouflage facility includes an intelligent environment perception and control system, which includes a multi-sensor array, an edge computing unit and an actuator. The sensor array includes a high-resolution optical camera, an infrared thermal imager, a millimeter-wave radar and an acoustic detector, which monitors various characteristic parameters of the surrounding environment in real time around the clock. The edge computing unit completes the control from environmental perception to camouflage adjustment.

[0013] Example 2. Based on Example 1, the dynamic optical camouflage layer, infrared heat regulation layer, and radar wave absorption layer are seamlessly integrated through nano-level bonding technology, with an overall thickness of 8-10 mm and a surface density of no more than 1-3 kg / m. The optical camera in the multi-sensor array adopts a 50-megapixel global shutter CMOS, supporting visible light and near-infrared (NIR) band imaging, the infrared thermal imager is an uncooled microbolometer with a resolution of 640×512, and the millimeter wave radar is an FMCW system with an operating frequency band of 24 GHz / 77 GHz, which is used to detect the direction of enemy radar illumination. The acoustic detector adopts a MEMS microphone array, which can identify the voiceprint characteristics of drones and vehicle targets.

[0014] In this embodiment, a 50-megapixel CMOS module (Sony IMX586) is integrated with a near-infrared filter (band 700-1100nm), with a frame rate of 60fps, an uncooled microbolometer (FLIR Boson 640), a field of view of 50°×38°, and a NETD<50mK. Millimeter-wave radar: AWR1843 chipset (TI), transmit power 12dBm, bandwidth 4GHz, acoustic array: 4×4 MEMS microphone (Knowles SPU0410LR5H-QB), sampling rate 192kHz.

[0015] In the environmental perception phase (<0.2 seconds), multiple sensors are used to synchronously collect data: the optical camera captures RGB+NIR images, the infrared thermal imager generates a temperature distribution map (resolution 0.1°C), and the millimeter-wave radar scans the incident angle of the enemy radar wave (accuracy ±1°). Data processing and decision-making (<0.2 seconds), NPU parallel computing, image segmentation: U-Net++ extracts background color and texture, thermal field simulation, outputs target surface temperature adjustment, threat assessment: if 77GHz radar waves are detected (corresponding to drone detection), priority is given to enhancing the activation of the radar absorption layer.

[0016] The camouflage layer is dynamically adjusted (<0.1 seconds). The electrochromic pixels in the optical layer are switched to matching colors (such as CIELAB color difference with ΔE<2) according to instructions. The TEC module in the infrared layer cools the high-temperature area (Peltier effect) and heats the low-temperature area (reverse effect). The radar layer does not need to be actively adjusted (passive wave absorption).

[0017] The edge computing unit includes an AI chip accelerated by NPU, an image segmentation algorithm (such as U-Net) to extract background texture in real time and generate the optimal camouflage pattern, a thermal radiation simulation algorithm based on a heat transfer model to calculate the driving parameters of TEC, and a threat assessment module to predict enemy detection modes and switch camouflage strategies through multi-sensor data fusion.

[0018] The core processor in the edge computing unit adopts a neural processing unit (NPU) designed for AI computing. Its architecture is deeply optimized for convolutional neural networks. The image segmentation algorithm adopts the U-Net++ architecture. Nested jump connections and deep supervision mechanisms are introduced on the basis of the standard U-Net. The encoder part extracts multi-scale features through the ResNet-50 backbone network, and the decoder uses sub-pixel convolution for upsampling to reduce information loss. The thermal radiation simulation is based on the finite element analysis (FEA) framework, coupling the three heat transfer modes of conduction, convection, and radiation. The algorithm uses the Monte Carlo ray tracing method to calculate the surface radiation characteristics, and establishes the energy balance equation through the Stefan-Boltzmann law. The adaptive PID controller is combined for TEC drive parameter optimization, and the drive current is dynamically adjusted through real-time temperature field feedback. The thermal radiation simulation algorithm is based on the finite element analysis (FEA) framework, coupling the three heat transfer modes of conduction, convection, and radiation. The Monte Carlo ray tracing method is used to calculate the surface radiation characteristics. The energy balance equation is established through the Stefan-Boltzmann law, and the drive current is dynamically adjusted through real-time temperature field feedback. The edge computing unit is adjusted from sensor input to camouflage layer, and the whole process delay is <0.5 seconds.

[0019] The present invention combines a dynamic optical camouflage layer, an infrared thermal regulation layer, a radar wave absorption layer and an intelligent environmental perception and control system to combat various detection methods on modern battlefields. The dynamic response speed is improved to less than 0.5 seconds. The dynamic optical camouflage layer generates bionic textures in real time through a 50-megapixel CMOS sensor and the U-Net++ algorithm, and cooperates with electrochromic polymers to achieve color switching in 0.3 seconds. The infrared thermal regulation layer dynamically simulates the environmental heat distribution based on finite element analysis, and achieves precise thermal fusion of ±0.5°C through adaptive PID control. The radar wave absorption layer uses gradient metamaterials to achieve a reflectivity of -20dB in the 1-40GHz frequency band, forming a broadband electromagnetic black hole effect. The present invention can synchronously counter the composite scanning of multi-modal detection equipment. The multi-sensor array integrates optical, thermal imaging, millimeter-wave radar and acoustic data. The edge computing unit accelerated by NPU realizes triple intelligence: real-time environmental modeling, threat mode prediction, and dynamic strategy optimization. The delay from detection to response of the system is controlled within 0.5 seconds to form a closed-loop countermeasure link. The overall structure thickness is only 8-10mm, and the surface density is 1-3kg / m². Nano-scale vacuum bonding technology is used to achieve seamless integration of various functional layers. The infrared control layer adopts a bidirectional heat conduction structure, which absorbs ambient heat during the day to reduce its own thermal contrast, and actively dissipates heat through TEC semiconductors at night, and cooperates with the honeycomb substrate to form a honeycomb-like thermal buffer effect; the gradient impedance design of the radar absorption layer realizes impedance matching in a wide frequency band, converts electromagnetic wave energy into heat dissipation, and improves the efficiency by 40% compared with traditional absorbing materials.

[0020] The basic principles and main features of the present invention are described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for illustrating the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which shall fall within the scope of the present invention to be protected. The scope of protection of the invention shall be defined by the attached claims and their equivalents.

Claims

1. A military camouflage facility with high concealment, comprising a camouflage facility, characterized in that: The surface layer of the camouflage facility adopts a gradient composite structure, which is divided into a dynamic optical camouflage layer, an infrared heat regulation layer, and a radar wave absorption layer from the outside to the inside. The dynamic optical camouflage layer adopts a composite film of an electrochromic polymer and a photochromic dye, which can complete the switching of colors and patterns within 0.3 seconds through pixelation control, accurately matching the optical characteristics of the surrounding environment. The infrared heat regulation layer actively adjusts the surface thermal radiation distribution according to the change of ambient temperature to achieve thermal fusion with the background environment. The radar wave absorption layer adopts a gradient impedance metamaterial and a honeycomb structure substrate to achieve excellent radar wave absorption performance in a wide frequency band of 1-40GHz, and the reflectivity can be as low as -20dB or less; The camouflage facility includes an intelligent environment perception and control system, which includes a multi-sensor array, an edge computing unit and an actuator. The sensor array includes a high-resolution optical camera, an infrared thermal imager, a millimeter-wave radar and an acoustic detector, which monitors various characteristic parameters of the surrounding environment in real time around the clock. The edge computing unit completes the control from environmental perception to camouflage adjustment.

2. A military camouflage facility with high concealment according to claim 1, characterized in that: The dynamic optical camouflage layer, infrared heat regulation layer, and radar wave absorption layer are seamlessly integrated through nano-level bonding technology, with an overall thickness of 8-10 mm and a surface density of no more than 1-3 kg / m².

3. A military camouflage facility with high concealment according to claim 1, characterized in that: The optical camera in the multi-sensor array uses a 50-megapixel global shutter CMOS, which supports imaging in the visible and near-infrared bands; the infrared thermal imager is an uncooled microbolometer with a resolution of 640×512; the millimeter-wave radar is an FMCW system with an operating frequency band of 24GHz / 77GHz, which is used to detect the direction of enemy radar illumination; the acoustic detector uses a MEMS microphone array, which can identify the voiceprint characteristics of drones and vehicle targets.

4. A military camouflage facility with high concealment according to claim 1, characterized in that: The edge computing unit includes an AI chip accelerated by NPU. The image segmentation algorithm extracts background texture in real time and generates the optimal camouflage pattern. The thermal radiation simulation algorithm calculates the driving parameters of TEC based on the heat transfer model. The threat assessment module predicts the enemy's detection mode and switches the camouflage strategy through multi-sensor data fusion.

5. The military camouflage facility with high concealment according to claim 1 is characterized in that: The core processor in the edge computing unit adopts a neural processing unit designed for AI computing, and its architecture is deeply optimized for convolutional neural networks. The image segmentation algorithm adopts the U-Net++ architecture, and introduces nested jump connections and deep supervision mechanisms based on the standard U-Net. The encoder part extracts multi-scale features through the ResNet-50 backbone network, and the decoder uses sub-pixel convolution for upsampling to reduce information loss. The thermal radiation simulation is based on the finite element analysis framework, coupling the three heat transfer modes of conduction, convection, and radiation. The Monte Carlo ray tracing method is used to calculate the surface radiation characteristics, and the energy balance equation is established in combination with the Stefan-Boltzmann law. The controller is combined for TEC drive parameter optimization, and the drive current is dynamically adjusted through real-time temperature field feedback. The thermal radiation simulation algorithm is based on the finite element analysis framework, coupling the three heat transfer modes of conduction, convection, and radiation, and the Monte Carlo ray tracing method is used to calculate the surface radiation characteristics. The energy balance equation is established in combination with the Stefan-Boltzmann law, and the drive current is dynamically adjusted through real-time temperature field feedback.

6. A military camouflage facility with high concealment according to claim 1, characterized in that: In the edge computing unit, the whole process from sensor input to camouflage layer adjustment is completed with a delay of <0.5 seconds.

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