基于WiFi的红外机芯控制系统软件的设计

发布时间：2018-04-14 02:04

本文选题：红外成像 + 无线路由　；参考：《电子科技大学》2016年硕士论文

【摘要】：非制冷红外成像系统因其体积小、功耗低、可靠性高、价格低廉等优点成为当前热成像领域的研究热点之一,在军事和民用领域都有着广泛的应用。特别是在民用领域,红外热成像产品应用越来越普及。因此建立在红外探测器基础上的后续开发将显得尤为重要,智能化、便携化及高体验度将成为红外市场的主导。WiFi作为目前主流的无线接入标准,具有速度快、可靠性高、灵活性好、传输距离远和抗干扰能力强等优点。将WiFi技术集成在传统红外成像系统中可实现系统的远距离控制和成像、增大系统工作范围和减少系统的物理线路限制。因而结合了移动终端的红外机芯成像系统很好的诠释了智能化、便携化等特点,具有较高的用户体验度。本文旨在实现基于WiFi的红外机芯控制系统软件的设计。通过分析当前主要的几种短距离无线通信技术的优缺点,并结合红外机芯系统的实际情况,最终选择使用WiFi技术将移动终端与传统的红外成像系统连接起来,实现实时控制、图像传输、视频显示等功能。系统采用客户机/服务器的设计结构,服务器架设在基于Windows平台的PC端,客户机则实现在基于安卓平台的手机终端。服务器和客户端通过基于套接字的TCP/IP协议搭建一个面向连接的、可靠的数据传输线路。服务器主要实现的功能有红外图像数据采集、红外图像处理、图像的实时发送等,客户端则主要包括图像的实时接收、视频显示和人机交互界面设计等内容。手机终端通过应用程序将控制码准确无误地发送至服务器,而服务器收到并解析控制码,进而做出相应的功能响应,如两点增强、伪彩处理等,最后将处理之后的图像数据传输至手机终端并实时显示。为保证红外图像传输的高效性和准确性,本文采用了数据压缩算法和图像拼接算法。针对传统盲元补偿算法的缺点,提出了基于牛顿插值的盲元补偿算法。此方法能更好地保持目标图像的边缘信息和细节信息。最终,本文设计出了上述特点的基于WiFi的红外机芯控制系统软件。通过实际验证,服务器和客户端的各个功能均能实现。图像完整清晰,图像分辨率为320×240,平均传输速率约为16Mb/s,每秒传输帧数fps约为27,满足实时性要求。
[Abstract]:Uncooled infrared imaging system has become one of the research hotspots in the field of thermal imaging because of its small size, low power consumption, high reliability and low price. It has been widely used in both military and civil fields.Especially in the civil field, infrared thermal imaging products are becoming more and more popular.Therefore, the following development based on infrared detector will be particularly important. Intelligent, portable and high experience will become the dominant wireless access standard in the infrared market. WiFi is a popular wireless access standard with high speed and high reliability.Good flexibility, long transmission distance and strong anti-interference ability.The integration of WiFi technology in the traditional infrared imaging system can realize the remote control and imaging of the system, enlarge the working range of the system and reduce the physical circuit limitation of the system.So it combines the infrared imaging system of mobile terminal with the characteristics of intelligence, portability and so on, and has a high degree of user experience.The purpose of this paper is to realize the design of infrared control system software based on WiFi.By analyzing the advantages and disadvantages of several current short-range wireless communication technologies and combining with the actual situation of the infrared mover system, we finally choose to use WiFi technology to connect the mobile terminal with the traditional infrared imaging system to realize real-time control.Image transmission, video display and other functions.The system adopts the design structure of client / server, the server is set up on the PC end based on Windows platform, and the client is implemented in the mobile terminal based on Android platform.The server and client build a connection-oriented and reliable data transmission line through socket-based TCP/IP protocol.The main functions of the server are infrared image data acquisition, infrared image processing, real-time image transmission and so on. The client mainly includes real-time image receiving, video display and human-computer interface design.The mobile phone terminal sends the control code accurately to the server through the application program, and the server receives and analyzes the control code, and then makes the corresponding functional response, such as two-point enhancement, false color processing, etc.Finally, the processed image data is transmitted to the mobile terminal and displayed in real time.In order to ensure the high efficiency and accuracy of infrared image transmission, data compression algorithm and image mosaic algorithm are adopted in this paper.Aiming at the shortcomings of the traditional blind element compensation algorithm, a blind element compensation algorithm based on Newton interpolation is proposed.This method can better maintain the edge information and detail information of the target image.Finally, the software of infrared control system based on WiFi is designed.Through the actual verification, the server and the client each function can realize.The image is complete and clear, the resolution of the image is 320 脳 240, the average transmission rate is about 16MB / s, and the fps per second is about 27, which meets the real-time requirements.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TN92;TP273

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