基于嵌入式Linux的水位視頻在線監測系統設計

陳城1,2，孫峰3，曲金秋1,2，吳婷1,2，褚澤帆1,2

（1.水利部南京水利水文自動化研究所，江蘇 南京 210012；

2.水利部水文水資源監控工程技術研究中心，江蘇 南京 210012；

3.江蘇南水科技有限公司，江蘇 南京 210012）

　　摘 要：為有效提高水位數據在線監測技術的自動化、智能化，針對當前傳統水文儀器監測設備的微控制器(C51，MSP430及STM32等)主頻低、智能性、魯棒性差以及水位監測數據的不精確、實時性差以及成本高等問題，提出采用嵌入式Linux系統、圖像處理技術以及無線傳輸技術等實現水位數據在線自動監測。首先，利用嵌入式Linux系統(bootloader、Linux內核以及rootfs文件系統)定時控制網絡攝像機獲取高清圖像，并在嵌入式Linux系統進行圖像識別處理，然后將識別的水位信息和采集的圖像通過無線模塊傳輸至控制中心，以期實現水位視頻在線監測與圖像查詢。該方法相比傳統微控制器，監測水位數據處理速度更快、智能化程度更高、水位數據精度高、成本低實時性強等優點，并能夠進一步推動水文儀器現代化建設發展。

　　關鍵詞：水位監測；圖像識別；嵌入式Linux；無線傳輸

Design of video on-line monitoring system of water level based on embedded Linux

CHEN Cheng1,2, SUN Feng3, QU Jinqiu1,2, WU Ting1,2, CHU Zefan1,2

(1. Nanjing Automation Institute of Water Conservancy and Hydrology, Ministry of Water Resources, Nanjing 210012, China;

2. Hydrology and Water Resources Engineering Research Center for Monitoring, Ministry of Water Resources, Nanjing 210012, China;

3. Jiangsu NAIWCH Co.,Ltd., Nanjing 210012, China)

　　Abstract: In order to effectively improve the automatization and intellectualization of on-line monitoring technology of water level data, aiming at the problems of low frequency, low intelligence and poor robustness of traditional hydrological monitoring equipment microcontrollers (C51，MSP430 and STM32, etc.), and inaccuracy, poor real-time performance and high cost of water level monitoring data, this paper realizes on-line automatic monitoring of water level data using embedded Linux system, image processing technology and wireless transmission technology. Image recognition and processing is carried out in the embedded platform, by using embedded Linux system( bootloader, Linux kernel and rootfs file system) to control network camera to periodically acquire high-definition image. Then, the recognized water level information and acquired image are transmitted to the control center by wireless module, so as to realize on-line video monitoring and image query of water level. Compared with traditional Micro controller monitoring of water level, this method has the advantages of quicker processing speed, higher intelligence, higher data precision, lower cost and stronger real-time performance, which can further promote the construction and development of hydrological instruments modernization.

　　Keywords: water level monitoring, image recognition, embedded Linux, wireless transmission