基于ARM处理器的嵌入式风电场监测系统研究与设计
[Abstract]:Wind energy is a kind of clean and renewable energy. In recent years, it has made rapid development in the world. But the wind turbine generally works in the bad environment, under the condition of unattended for many years, must guarantee to carry on the real-time, the reliable control to it, therefore, it is very necessary to carry on the monitoring to the wind turbine operation, Through the real-time audio and video monitoring system, the manager can understand the situation in time and intuitively, and make a reasonable and correct judgment, and provide remote assistance in the process of maintenance and repair of equipment. This paper introduces the research background and significance of this subject, and then designs a ARM embedded monitoring system based on S3C2440A microprocessor, which can collect and compress the audio and video signals of wind farm. Image processing, such as motion detection, is used to transmit temperature and vibration signal between SPI interface and DSP platform. Finally, it is transmitted to the host computer through the network. The system software is designed using embedded Linux operating system. T264 coding library and OpenCV library are transplanted into the Linux system for video coding and image processing, and the SPI driver is modified on the basis of 2.6.32 kernel to provide interface function for data transmission. The remote data transmission is realized by network programming, and the field data is displayed by the host computer and analyzed further. It is proved by experiments that the system can collect and compress the video signal effectively and process the video signal such as mobile detection. The field data can be transmitted to the host computer correctly and timely, which basically meets the requirements of the research and design.
【学位授予单位】:华北电力大学
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:TP368.1;TM614
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