[1]
郭新蕾, 马慧敏, 李甲振, 等. 管道系统漏损控制技术进展[J]. 水利水电技术, 2018, 49(6): 65-71.
Guo Xinlei, Ma Huimin, Li Jiazhen, et al. Review on advance of technique for leakage control of pipeline system [J]. Water Resources and Hydropower Engineering, 2018, 49(6): 65-71.
[2]
杜高潮. 区域装表法在铁路给水管网治漏中的应用[J]. 中国给水排水, 2013, 29(15): 138-140, 145.
Du Gaochao. Application of zone metering method in water loss control of railway water supply network [J]. China Water & Wastewater, 2013, 29(15): 138-140, 145.
[3]
王慧明, 陈永, 田峰. 供水管网漏损监测技术的合理选用探析[C]. 2010年全国给水排水技术信息网年会论文集, 2010.
[4]
李玉星, 刘翠伟. 基于声波的输气管道泄漏监测技术研究进展[J]. 科学通报, 2017, 62(7): 650-658.
Li Yuxing, Liu Cuiwei. Advances in leak detection and location based on acoustic wave for gas pipelines [J]. Chinese Science Bulletin, 2017, 62(7): 650-658.
[5]
栾健. 预应力管道灌浆质量检测的试验研究[D]. 长沙: 中南林业科技大学, 2011.
Luan Jian. Experimental research on grout quality detection of tendon ducts [D]. Changsha: Central South University of Forestry and Technology, 2011.
[6]
钱继春. 高层供水系统减振降噪研究[D]. 天津: 天津科技大学, 2002.
Qian Jichun. Study on noise and vibration reduction of providing water system to high building [D]. Tianjin: Tianjin University of Science & Technology, 2002.
[7]
姜春雷, 郭远博, 付兴涛, 等. 基于多传感器数据融合的供热管网泄漏检测技术[J]. 大庆石油学院学报, 2011, 35(3): 91-94, 108.
Jiang Chunlei, Guo Yuanbo, Fu Xingtao, et al. Leak detection of heating pipeline based on multisensor data fusion [J]. Journal of Northeast Petroleum University, 2011, 35(3): 91-94, 108.
[8]
何轶娜. 城市供水管网现状与技术改造分析[J]. 山东工业技术, 2019(8): 54.
[9]
戴锴妍, 庞胜华, 宋珍娜, 等. 供水管网漏损控制策略的国内外差异与思考[J]. 市政技术, 2020, 38(6): 210-214, 219.
Dai Kaiyan, Pang Shenghua, Song Zhenna, et al. Differences and thinking of leakage control strategy of water supply networks at home and abroad [J]. Municipal Engineering Technology, 2020, 38(6): 210-214, 219.
[10]
廖伟志, 张文强, 吕清泉, 等. 基于4G的高分辨率气象监测系统研究与设计[J]. 合肥工业大学学报(自然科学版), 2021, 44(1): 42-46, 117.
Liao Weizhi, Zhang Wenqiang, Lü Qingquan, et al. Research and design of high resolution weather monitoring system based on 4G [J]. Journal of Hefei University of Technology (Natural Science), 2021, 44(1): 42-46, 117.
[11]
宦娟, 吴帆, 曹伟建, 等. 基于窄带物联网的养殖塘水质监测系统研制[J]. 农业工程学报, 2019, 35(8): 252-261.
Huan Juan, Wu Fan, Cao Weijian, et al. Development of water quality monitoring system of aquaculture ponds based on narrow band Internet of Things [J]. Transactions of the Chinese Society of Agricultural Engineering, 2019, 35(8): 252-261.
[12]
蔡华谦, 张颖, 黄罡, 等. 一种优化安卓应用3G/4G网络请求能耗的方法[J]. 软件学报, 2017, 28(12): 3367-3384.
Cai Huaqian, Zhang Ying, Huang Gang, et al. Approach to scheduling network requests in Android Apps [J]. Journal of Software, 2017, 28(12): 3367-3384.
[13]
田金凤, 郑小盈, 胡宏林, 等. 中国下一代移动通信研究[J]. 科学通报, 2012, 57(5): 299-313.
Tian Jinfeng, Zheng Xiaoying, Hu Honglin, et al. Research on Chinas next generation mobile communication [J]. Chinese Science Bulletin, 2012, 57(5): 299-313.
[14]
黄河, 陈君, 邓浩江. 基于循环神经网络的Modbus/TCP模糊测试算法[J]. 计算机工程, 2019, 45(7): 164-169.
Huang He, Chen Jun, Deng Haojiang. Fuzzy testing algorithm for Modbus/TCP based on recurrent neural networks [J]. Computer Engineering, 2019, 45(7): 164-169.
[15]
吴泽鑫, 高一川, 肖进, 等. 基于嵌入式的水产养殖环境监控系统设计[J]. 中国农机化学报, 2016, 37(9): 83-87.
Wu Zexin, Gao Yichuan, Xiao Jin, et al. Design of aquaculture environment monitoring system based on embedded technology [J]. Journal of Chinese Agricultural Mechanization, 2016, 37(9): 83-87.
[16]
朱佩, 徐巧玉, 王军委. 一种嵌入式智能视觉系统的设计[J]. 河南科技大学学报(自然科学版), 2019, 40(4): 46-51.
Zhu Pei, Xu Qiaoyu, Wang Junwei. Design of embedded intelligent vision system [J]. Journal of Henan University of Science and Technology (Natural Science), 2019, 40(4): 46-51.
[17]
Fan H B, Kang W Q, Xian M. Electricity acquisition system design based on STM32F103 [J]. Advanced Materials Research, 2014, 1049-1050: 638-641.
[18]
潘成源. 基于ARM和嵌入式Linux的车载导航系统研究[D]. 长沙: 湖南大学, 2006.
Pan Chengyuan. The research on automobile navigation system based on ARM and embedded Linux [D]. Changsha: Hunan University, 2006.
[19]
陈航, 严帅, 刘胜, 等. 基于RS485总线的分布式高精度数据采集系统[J]. 仪表技术与传感器, 2021(2): 71-74, 79.
Chen Hang, Yan Shuai, Liu Sheng, et al. Distributed highprecision data acquisition system based on RS485 bus [J]. Instrument Technique and Sensor, 2021(2): 71-74, 79.
[20]
李姣军, 李刚, 李恒. LMS和RLS自适应滤波算法对比研究[J]. 重庆科技学院学报(自然科学版), 2011, 13(2): 132-134, 144.
Li Jiaojun, Li Gang, Li Heng. Comparative study between LMS and RLS adaptive filter algorithm [J]. Journal of Chongqing University of Science and Technology (Natural Sciences Edition), 2011, 13(2): 132-134, 144.
|