采砂智能监管系统研究与应用
Research and Application of Sand Mining Intelligent Supervision System
DOI: 10.12677/JWRR.2019.85055, PDF,  被引量    科研立项经费支持
作者: 鄢煜川, 许小华：江西省水利科学研究院，江西 南昌
关键词: 人工智能；图像识别技术；采砂智能监管；Artificial Intelligence； Image Recognition Technology； Intelligent Supervision of Sand Mining
摘要: 随着人工智能图像识别技术的蓬勃兴起，应用领域日益拓宽，将其应用到采砂监管领域，实现对传统监管方式的有力改造是大势所趋。本文根据采砂监管业务的实际需要，研究并设计实现了包含人工智能图像识别技术的视频监控、数据采集、传输存储、智能分析一体化的采砂智能监管信息系统，并应用到鄱阳湖主要采区，为实时监测采区动态数据、维护采区管理秩序提供了有效的技术支撑。
Abstract: The artificial intelligence image recognition technology is applied to the field of sand mining supervision, and it is an irresistible trend to realize the powerful transformation of traditional supervision methods. According to the actual needs of sand mining supervision business, we design and implement a sand mining intelligent supervision information system integrating video surveillance, data acquisition, transmission and storage, and intelligent analysis including artificial intelligence image recognition technology. The system has been applied in the main mining area of Poyang Lake, which provides effective technical support for real-time monitoring of sand mining area and maintenance of mining area management order.
文章引用：鄢煜川, 许小华. 采砂智能监管系统研究与应用[J]. 水资源研究, 2019, 8(5): 483-490. https://doi.org/10.12677/JWRR.2019.85055

参考文献

[1] 高月明, 黄志旺, 文涛. 河道采砂实时监测系统设计与实现. 人民珠江, 2014(6): 146-149. GAO Yueming, HUANG Zhiwang and WEN Tao. Design and implementation of real-time monitoring system for river sand mining. Pearl River, 2014(6): 146-149. (in Chinese)
[2] 毛贵臻, 工雅伟, 温广兴. 漳河采砂视频监控系统简析. 海河水利, 2011(3): 69-70. MAO Guizhen, GONG Yawei and WEN Guangxing. Brief analysis of video monitoring system for sand mining in Weihe River. Haihe Water Resources, 2011(3): 69-70. (in Chinese)
[3] 孙琦. 长江河道采砂监测系统的设计与实现. 大连: 大连理工大学, 2008. SUN Qi. Design and implementation of sand monitoring system in the Yangtze River. Dalian: Dalian University of Technology, 2008. (in Chinese)
[4] 高健, 陈先桥, 初秀明, 等. 内河航道采砂监测系统设计及应用. 武汉理工大学学报: 信息与管理工程版, 2013(8): 524-527. GAO Jian, CHEN Xianqiao, CHU Xiuming, et al. Design and application of sand mining monitoring system for inland waterway. Journal of Wuhan University of Technology, 2013(8): 524-527. (in Chinese)
[5] 马水山, 黄万林, 刘前隆, 等. 长江河道采砂管理远程可视化实时监控系统. 人民长江, 2006, 37(10): 50-51. MA Shuishan, HUANG Wanlin, LIU Qianlong, et al. Long-distance visual real-time monitoring system for sand mining management in the Yangtze River. Yangtze River, 2006, 37(10): 50-51. (in Chinese)
[6] 叶小云, 何勇, 甘莉. 长江采砂作业监测系统研究. 人民长江, 2010, 41(17): 104-106. YE Xiaoyun, HE Yong and GAN Li. Research on monitoring system of sand mining operation in the Yangtze River. Yangtze River, 2010, 41(17): 104-106. (in Chinese)
[7] 陈银萍. 基于人工职能中的图像识别技术的分析. 信息与电脑, 2019(1): 165-166. CHEN Yinping. Analysis of image recognition technology based on artificial intelligence. China Computer & Communication, 2019(1): 165-166. (in Chinese)