| With the development and application of multi-platform reconnaissance and surveillance technology and high-precision guidance and capture technology,the forms and methods of modern warfare have undergone profound changes,and military targets are facing increasingly serious threats of detection and attack on the battlefield.Camouflage technology is an effective means to deal with these threats.It can conceal the real target or reduce the detectability characteristics of the target by reducing the difference between the target and the background in the visible light,infrared,microwave and other wavelength bands.my country’s camouflage technology has mainly gone through three stages of development.The first stage is an additional camouflage based on equipment,the second stage is an additional internal integrated camouflage technology that combines internal design,and the third stage is the current intelligent camouflage technology.Since the camouflage techniques in the first two stages are static camouflage,and their style is basically fixed once they are determined.Therefore,once this type of camouflage target is identified by the enemy’s reconnaissance system,it will become the target of precision-guided weapons.In contrast,as a new intelligent camouflage technology,adaptive camouflage can make the photoelectric characteristics of camouflage targets adapt to environmental changes and actively adjust according to the current background environmental characteristic information,so as to realize the good fusion of photoelectric characteristics between target and background,so as to greatly reduce the probability of target discovery and improve the battlefield survivability of military targets.Therefore,this paper focuses on the adaptive camouflage control technology based on electrochromic materials.First,this article starts with the optical adaptive camouflage scheme and analyzes the application scenarios of adaptive camouflage patterns.This paper designs an adaptive camouflage pattern generation algorithm called copy mode and deformation mode for the adaptive camouflage requirements of different weapon equipment and position targets in the context of dynamic changes.Around the two modes,experiments were carried out on the function of the proposed algorithm using typical terrain background images,and it was verified that the camouflage patterns generated under the two modes can meet the requirements of fusion and matching with the environment.Then,based on the analysis of the principle of electrochromic devices,the device voltage characteristics are tested,and the device array control method based on electrochromic materials is studied.In view of the characteristics of bistable color change of electrochromic devices,a camouflage pattern mapping model and method based on electrochromic device array are proposed;Combined with the voltage characteristics of electrochromic devices and the functional requirements of device array control,a driving slave hardware device which can control the color change of large-scale device array is designed.Finally,the system prototype is built by using hardware modules such as embedded development board,driver slave station and electrochromic device array.Based on the embedded Linux system platform,the graphical user interface program software is developed by QT,and the relevant algorithms and program codes are encapsulated and integrated to improve the system integration and ease of use.In order to test the effect of the prototype in different application scenarios,a camouflage effect evaluation method based on the visual attention mechanism is proposed.The results show that the adaptive camouflage system control method designed in this paper is feasible and effective,and can provide for the subsequent development of the adaptive camouflage system support. |