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Construction of multi-factor identification model for real-time monitoring and early warning of mine water inrush 被引量:4
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作者 Xin Wang Zhimin Xu +3 位作者 Yajun Sun Jieming Zheng Chenghang Zhang Zhongwen Duan 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2021年第5期853-866,共14页
As a new technical means that can detect abnormal signs of water inrush in advance and give an early warning,the automatic monitoring and early warning of water inrush in mines has been widely valued in recent years.D... As a new technical means that can detect abnormal signs of water inrush in advance and give an early warning,the automatic monitoring and early warning of water inrush in mines has been widely valued in recent years.Due to the many factors affecting water inrush and the complicated water inrush mechanism,many factors close to water inrush may have precursory abnormal changes.At present,the existing monitoring and early warning system mainly uses a few monitoring indicators such as groundwater level,water influx,and temperature,and performs water inrush early warning through the abnormal change of a single factor.However,there are relatively few multi-factor comprehensive early warning identification models.Based on the analysis of the abnormal changes of precursor factors in multiple water inrush cases,11 measurable and effective indicators including groundwater flow field,hydrochemical field and temperature field are proposed.Finally,taking Hengyuan coal mine as an example,6 indicators with long-term monitoring data sequences were selected to establish a single-index hierarchical early-warning recognition model,a multi-factor linear recognition model,and a comprehensive intelligent early-warning recognition model.The results show that the correct rate of early warning can reach 95.2%. 展开更多
关键词 Mine water inrush Automatic monitoring real-time warning Recognition model
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Importance of Proficiency Testing in Water Quality Monitoring 被引量:2
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作者 郭正 向哲涛 宋华力 《Agricultural Science & Technology》 CAS 2014年第12期2201-2203,共3页
The monitoring data is undoubtedly important to the water quality monitor- ing department. The proficiency testing is an important way to improve the monitor- ing capacity and enhance the quality management of laborat... The monitoring data is undoubtedly important to the water quality monitor- ing department. The proficiency testing is an important way to improve the monitor- ing capacity and enhance the quality management of laboratories. It plays an impor- tant role in ensuring the accuracy, integrity and comparability of monitoring data. In this paper, the positive role of proficiency testing in the water quality monitoring was analyzed. In addition, how to improve the water quality monitoring capacity and the quality management level of laboratories through the proficiency testing was also discussed. 展开更多
关键词 Proficiency testing water quality monitoring Management level
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An IoT-Based Aquaculture Monitoring System Using Firebase
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作者 Wen-Tsai Sung Indra Griha Tofik Isa Sung-Jung Hsiao 《Computers, Materials & Continua》 SCIE EI 2023年第8期2179-2200,共22页
Indonesia is a producer in the fisheries sector,with production reaching 14.8 million tons in 2022.The production potential of the fisheries sector can be optimally optimized through aquaculture management.One of the ... Indonesia is a producer in the fisheries sector,with production reaching 14.8 million tons in 2022.The production potential of the fisheries sector can be optimally optimized through aquaculture management.One of the most important issues in aquaculture management is how to efficiently control the fish pond water conditions.IoT technology can be applied to support a fish pond aquaculture monitoring system,especially for catfish species(Siluriformes),in real-time and remotely.One of the technologies that can provide this convenience is the IoT.The problem of this study is how to integrate IoT devices with Firebase’s cloud data system to provide reliable and precise data,which makes it easy for fish cultivators to monitor fishpond conditions in real time and remotely.The IoT aquaculture fishpond monitoring use 3 parameters:(1)water temperature;(2)pHwater level;and(3)turbidity level of pond water.IoT devices use temperature sensors,pH sensors,and turbidity sensors,which are integrated with a microcontroller and Wi-Fi module.Data from sensor readings are sent to the Firebase cloud via theWi-Fi module so that it can be accessed in real time by end users with an Androidbased mobile app.The findings are(1)the IoT-based aquaculture monitoring system device has a low error rate in measuring temprature,pH,and turbidity with a percentage of 1.75%,1.94% and 9.78%,respectively.Overall,the total average error of the three components is 4.49%;(2)in cost analysis,IoT-based has a cost-effectiveness of 94.21% compared to labor costs.An IoT-based aquaculture monitoring system using Firebase can be effectively used as a technology for monitoring fish pond conditions in real-time and remotely for fish cultivators that contribute to providing an IoT-based aquaculture monitoring system that produces valid data,is precise,is easy to implement,and is a low-cost system. 展开更多
关键词 Internet of Things aquaculture technology water monitoring system real-time database aquaculture monitoring system
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Design on Vibration Monitoring and Fault Diagnosis System of Large Water Pump Motor 被引量:2
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作者 WEI Xieben LU Xujin +1 位作者 LI Tongbin CHEN Shuqin 《International Journal of Plant Engineering and Management》 2021年第2期118-128,共11页
Large water pump motor,whose operation decides the reliability of the whole production line,plays a very important role.Therefore,its online condition monitoring can help companies better know its operation,process fa... Large water pump motor,whose operation decides the reliability of the whole production line,plays a very important role.Therefore,its online condition monitoring can help companies better know its operation,process fault analysis and protection.The essay mainly studies and designs large water pump motor′s real time vibration monitoring and fault diagnosis system.The essay completes the systems project design,the establishment of the system and performance test.Eddy-currentsensor,XM-120 vibration module,XM-320 axial translation module,XM-362 temperature module,XM-360 process amount module and XM-500 gateway module are used to measure the axial vibration and displacement of main motors.Laboratory tests prove that the system can meet the requirements of motor vibration monitoring. 展开更多
关键词 large water pump motor vibration monitoring real-time monitoring fault diagnosis TEST
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Efficient Approach for Monitoring and Controlling Water Parameters Utilizing Integrated Treatment Based on WSNs
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作者 Tarek Srour Ayman Haggag +2 位作者 Mohsen A. M. El-Bendary Mostafa Eltokhy Atef E. Abouelazm 《Wireless Sensor Network》 2019年第4期47-66,共20页
Research works of Wireless Sensor Networks (WSNs) applications and its constraints solutions occupy wide area around the world and attract many researchers. In this paper, an important one of environmental WSN applica... Research works of Wireless Sensor Networks (WSNs) applications and its constraints solutions occupy wide area around the world and attract many researchers. In this paper, an important one of environmental WSN applications is presented that is the water monitoring applications. An efficient approach for monitoring and controlling water parameters in real-time is implemented utilizing merging between WSN and designed simple workstation. For implementation simplicity, two water parameters (pH and temperature) are monitored and controlled in the proposed approach. Most of past work of water monitoring presented different proposed monitoring scenarios for different water parameters only. This research work utilizes the concept of interactive WSN nodes. The interactive nodes interact with the monitored water parameters to control its value. In the base station, the collected data is analyzed and the real-time value of the monitored parameters appears on the designed Graphic User Interface (GUI). The GUI is designed using the Matlab program. Through the GUI, the operator can switch the control between automatic and manual. ZigBee module is used for implementing the wireless communications between the nodes and the workstation. Due to the cost and simplicity, two sensors only are used in the proposed approach. Different real-time experiments are performed to test and measure the effectiveness and performance of the presented approach. These experiments reveal that the presented approach is effective for water treatment and efficient more than the past proposed water monitoring scenarios. 展开更多
关键词 ENVIRONMENTAL monitoring water Quality INTERACTIVE WSN WSNS Applications INTERACTIVE SENSING real-time
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Real-time estimation of the structural utilization level of segmental tunnel lining
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作者 Nicola Gottardi Steffen Freitag Gunther Meschke 《Underground Space》 SCIE EI CSCD 2024年第4期132-145,共14页
Over the last decades,an expansion of the underground network has been taking place to cope with the increasing amount of moving people and freight.As a consequence,it is of vital importance to guarantee the full func... Over the last decades,an expansion of the underground network has been taking place to cope with the increasing amount of moving people and freight.As a consequence,it is of vital importance to guarantee the full functionality of the tunnel network by means of preventive maintenance and the monitoring of the tunnel lining state over time.A new method has been developed for the real-time prediction of the utilization level in tunnel segmental linings based on input monitoring data.The new concept is founded on a framework,which encompasses an offline and an online stage.In the former,the generation of feedforward neural networks is accomplished by employing synthetically produced data.Finite element simulations of the lining structure are conducted to analyze the structural response under multiple loading conditions.The scenarios are generated by assuming ranges of variation of the model input parameters to account for the uncertainty due to the not fully determined in situ conditions.Input and target quantities are identified to better assess the structural utilization of the lining.The latter phase consists in the application of the methodological framework on input monitored data,which allows for a real-time prediction of the physical quantities deployed for the estimation of the lining utilization.The approach is validated on a full-scale test of segmental lining,where the predicted quantities are compared with the actual measurements.Finally,it is investigated the influence of artificial noise added to the training data on the overall prediction performances and the benefits along with the limits of the concept are set out. 展开更多
关键词 Segmental lining Artificial neural networks Structural utilization level real-time prediction Structural health monitoring monitoring data
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Monitoring models for base flow effect and daily variation of dam seepage elements considering time lag effect 被引量:11
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作者 Shao-wei Wang Ying-li Xu +1 位作者 Chong-shi Gu Teng-fei Bao 《Water Science and Engineering》 EI CAS CSCD 2018年第4期344-354,共11页
Affected by external environmental factors and evolution of dam performance, dam seepage behavior shows nonlinear time-varying characteristics. In this study, to predict and evaluate the long-term development trend an... Affected by external environmental factors and evolution of dam performance, dam seepage behavior shows nonlinear time-varying characteristics. In this study, to predict and evaluate the long-term development trend and short-term fluctuation of the dam seepage behavior, two monitoring models were developed, one for the base flow effect and one for daily variation of dam seepage elements. In the first model, to avoid the influence of the time lag effect on the evaluation of seepage variation with the time effect component of seepage elements, the base values of the seepage element and the reservoir water level were extracted using the wavelet multi-resolution analysis method, and the time effect component was separated by the established base flow effect monitoring model. For the development of the daily variation monitoring model for dam seepage elements, all the previous factors, of which the measured time series prior to the dam seepage element monitoring time may have certain influence on the monitored results, were considered. Those factors that were positively correlated with the analyzed seepage element were initially considered to be the support vector machine(SVM) model input factors, and then the SVM kernel function-based sensitivity analysis was performed to optimize the input factor set and establish the optimized daily variation SVM model. The efficiency and rationality of the two models were verified by case studies of the water level of two piezometric tubes buried under the slope of a concrete gravity dam.Sensitivity analysis of the optimized SVM model shows that the influences of the daily variation of the upstream reservoir water level and rainfall on the daily variation of piezometric tube water level are processes subject to normal distribution. 展开更多
关键词 Dam seepage monitoring model Time lag effect Support vector machine(SVM) Sensitivity analysis Base flow Daily variation Piezometric tube water level
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关于加强水库大坝下游水位监测的认识与建议 被引量:1
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作者 江超 吴全荣 +1 位作者 曹昕 闵国琪 《中国水利》 2024年第2期56-60,共5页
下游水位监测是1级~5级水库大坝必设的安全监测项目,但在实际建设过程中常常被忽视或误解,不利于充分发挥监测系统作用。通过设置下游水位监测,可以确定准确完整的坝体浸润线位置,支撑智慧水利建设;定量分析监测断面的防渗效果与渗流安... 下游水位监测是1级~5级水库大坝必设的安全监测项目,但在实际建设过程中常常被忽视或误解,不利于充分发挥监测系统作用。通过设置下游水位监测,可以确定准确完整的坝体浸润线位置,支撑智慧水利建设;定量分析监测断面的防渗效果与渗流安全性态,提高渗流安全监测资料分析深度;为大坝渗流计算提供可靠的重要边界条件参数,提升渗流计算成果可靠性与准确性。下游水位监测对大坝安全监测以及大坝安全管理至关重要,建议有条件的水库补充设置下游水位监测,进一步完善大坝安全监测系统。 展开更多
关键词 水库 大坝 安全监测 下游水位
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网络球型摄像机瞬时视场的单点校正水位连续测量方法
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作者 刘科利 赵雪莹 +2 位作者 辛成章 刘昌军 姚吉利 《测绘通报》 CSCD 北大核心 2024年第10期120-124,173,共6页
基于网络球型摄像机进行洪水监测成为当今水利建设的热点之一,摄像机需进行旋转、焦距的放大与缩小等操作,才能在多视场进行流速、水位、流量一体化监测。由于摄像机传动装置制造的缺陷,在多视场切换时会出现预置点不能准确复位的问题... 基于网络球型摄像机进行洪水监测成为当今水利建设的热点之一,摄像机需进行旋转、焦距的放大与缩小等操作,才能在多视场进行流速、水位、流量一体化监测。由于摄像机传动装置制造的缺陷,在多视场切换时会出现预置点不能准确复位的问题而产生隙动差,这给从单张影像上解析水位、流速造成较大偏差,因此本文提出一种针对水位测量的隙动差校正方法。首先对预置点的水位尺进行精确标定,得到预置点水位方程参数,并在影像上选取两个特征明显的校正点;然后在连续监测中,将瞬时视场内校正点影像坐标按线性方法校正到预置点视场校正点;最后用预置点水位方程参数计算瞬时视场水位。经现场试验测试,不同瞬时视场校正点的影像坐标最大有8像素隙动差,产生水位误差达5 cm,而经本文方法计算的水位误差约为5 mm,说明本文方法对消减隙动差的影响是显著的。 展开更多
关键词 洪水监测 隙动差 线性校正 水位方程 水位精度
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江苏省平原水网区河湖生态水位确定探索与实践 被引量:1
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作者 盖永伟 蒋咏 胡晓雨 《水资源开发与管理》 2024年第1期30-34,共5页
保障河湖生态流量,事关江河湖泊健康。本文在分析江苏平原水网区域特点的基础上,选择生态水位作为河湖生态流量的表征指标,根据水利部确定的江苏省26条全国生态流量保障重点河湖名录,科学选定控制断面,采用1990—2020年水文序列资料,选... 保障河湖生态流量,事关江河湖泊健康。本文在分析江苏平原水网区域特点的基础上,选择生态水位作为河湖生态流量的表征指标,根据水利部确定的江苏省26条全国生态流量保障重点河湖名录,科学选定控制断面,采用1990—2020年水文序列资料,选用Qp法分析计算90%、95%、99%保证率下的水位,同步对比分析近10年最枯月水位、最低通航保证水位,最终确定了26条河湖的生态水位。通过制定保障措施方案、开展监测预警评估、强化统一调度管理等措施,全面保障区域河湖生态水位,为平原水网地区河湖生态水位的确定与保障提供了经验。 展开更多
关键词 河湖生态水位 保障措施 监测 管控 江苏省
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降雨和库水位变动联合作用下滑坡位移加权反分析及监测预警方法
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作者 袁维 籍晓蕾 +9 位作者 王东坡 管凯歌 裴子豪 钟辉亚 唐佳 孙瑞峰 王伟 郑贺民 郭帅杰 李红旭 《测绘学报》 EI CSCD 北大核心 2024年第5期917-932,共16页
降雨和库水位变动是诱发大型库岸滑坡体持续变形甚至失稳的主要外在因素。针对以上两种因素联合作用下滑坡体的变形特征,本文提出一种基于多源数据的“反演-评估-融合-预警”四步式滑坡监测预警方法。该方法采用趋势项位移进行力学参数... 降雨和库水位变动是诱发大型库岸滑坡体持续变形甚至失稳的主要外在因素。针对以上两种因素联合作用下滑坡体的变形特征,本文提出一种基于多源数据的“反演-评估-融合-预警”四步式滑坡监测预警方法。该方法采用趋势项位移进行力学参数反演,有效避免了降雨、库水位变动等外在因素对反演结果的影响。同时,采用熵权值构建了反演目标函数,借此考虑了不同位置监测点对反演结果的影响程度。此外,考虑了滑坡体自身的地质条件和坡体结构对监测预警的影响,综合运用安全系数和综合变形速率构建了具有地质和力学基础的预警模型。采用本文方法对贵州三板溪水电站东岭信滑坡体进行了力学参数反演和监测预警,结果表明:该滑坡体整个监测期间的安全系数在1.25~1.70之间波动,整体状态呈下降趋势,基于安全系数的角度判断其尚处于稳定状态;综合变形速率呈现上、下波动趋势,与安全系数在变化规律上具有高度的相关性,两者可以从整体上表征该滑坡体在降雨和库水位变动联合作用下稳定性的演进过程;当前监测时刻点的综合变形速率是0.0599,根据分级预警模型判断此滑坡体当前处于稳定变形阶段(Ⅰ级预警),与安全系数的判断结果具有一致性。 展开更多
关键词 滑坡体 监测预警 参数反演 降雨 库水位变动
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融合GLAS与Landsat的湖泊蓄水量季节性监测及预测
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作者 王振华 刘存锟 +2 位作者 张熙 王凤香 刘向锋 《海洋测绘》 CSCD 北大核心 2024年第4期74-78,共5页
为实现高海拔区域湖泊蓄水量监测与预测,提出了一种融合ICESat/GLAS与Landsat数据监测并预测湖泊蓄水量季节性变化的方法。利用随机森林对GLAS激光脚点自动分类,解决湖面非水体与水体目标分类难的问题;结合水体指数和大津法自动分割Land... 为实现高海拔区域湖泊蓄水量监测与预测,提出了一种融合ICESat/GLAS与Landsat数据监测并预测湖泊蓄水量季节性变化的方法。利用随机森林对GLAS激光脚点自动分类,解决湖面非水体与水体目标分类难的问题;结合水体指数和大津法自动分割Landsat数据中的水体,降低不规则边界的影响;联合GLAS和Landsat数据,构建高时间分辨率的水位、面积与蓄水量时序列变化关系,解决两类数据观测信息缺失及观测时间不匹配的问题;并利用LSTM模型,预测蓄水量变化。以西藏纳木错湖为例,对上述方法进行验证,结果显示2003-2009年纳木错湖水位上升1.15 m,面积增加25.58 km2,蓄水量增加2.30 km^(3);预测2010-2016年蓄水量增加1.16 km^(3),与实际情况相符。结果表明,该方法可为生态环境的动态监测提供数据支撑。 展开更多
关键词 激光脚点分类 蓄水量预测 水位计算 水体分类 季节性监测
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Real-time remote monitoring system for aquaculture water quality 被引量:3
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作者 Luo Hongpin Li Guanglin +2 位作者 Peng Weifeng Song Jie Bai Qiuwei 《International Journal of Agricultural and Biological Engineering》 SCIE EI CAS 2015年第6期136-143,共8页
A multi-parameters monitoring system based on wireless network was set up to achieve remote real-time monitoring of aquaculture water quality,in order to improve the quality of aquaculture products and solve such prob... A multi-parameters monitoring system based on wireless network was set up to achieve remote real-time monitoring of aquaculture water quality,in order to improve the quality of aquaculture products and solve such problems as being difficult in wiring and high costs in current monitoring system.In the system solar cells and lithium cells were used for power supply.The YCS-2000 dissolved oxygen sensor,pH electrode,Pt1000 temperature sensor and ammonia nitrogen sensor were used to monitor the parameters of aquaculture water quality;STM32F103 chip was used for data processing;Zigbee and GPRS modules were used for data transmission to the remote monitoring center,where the data were stored and displayed.The system was connected with aerator to realize automatic control of dissolved oxygen concentration.The test results showed high confidence level of data transmission with a packet loss rate of 0.43%.Therefore,the system could fulfill the real-time remote monitoring of aquaculture water quality and had great practical significance in reduction of labor intensity,improvement of quality of aquatic products and protection of water environment. 展开更多
关键词 AQUACULTURE water quality real-time monitoring wireless sensor network AERATOR
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基于深度学习的双目视觉水位监测方法
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作者 孙秀峰 张从联 +1 位作者 李晓莅 阳剑峰 《广东水利水电》 2024年第9期43-47,53,共6页
利用双目相机采集3D点云数据,通过多次连续测量不断增补水面空间数据;利用基于Transformer架构的深度学习模型过滤弱化噪点,强化特征纹理,通过对点云数据进行加权处理得到监测水位,该方法无需安装标尺和现场标定,不需额外结构光发射装置... 利用双目相机采集3D点云数据,通过多次连续测量不断增补水面空间数据;利用基于Transformer架构的深度学习模型过滤弱化噪点,强化特征纹理,通过对点云数据进行加权处理得到监测水位,该方法无需安装标尺和现场标定,不需额外结构光发射装置,减少了场景限制,降低了功耗和成本。试验结果表明,该方法可以消除水面波纹和漂浮物等的干扰,水位监测最大误差为0.8 cm,系统不确定度、随机不确定度、综合不确定度指标均小于1 cm,可满足智慧水利感知网部署场景复杂的要求。 展开更多
关键词 深度学习 Transformer模型 双目视觉 水位监测
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GNSS-R水位监测研究进展与其在我国水利行业应用展望 被引量:1
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作者 张朋杰 庞治国 +3 位作者 路京选 江威 吕娟 孙铭涵 《全球定位系统》 CSCD 2024年第1期34-44,共11页
水位监测在水文学、水利工程、灾害防治等领域都具有非常重要的意义.传统的水位监测方法存在成本高、覆盖范围小等缺点,GNSS不仅具有导航、定位及授时的功能,还可以利用其反射信号获取反射面的特性信息并将其称为全球卫星导航系统反射测... 水位监测在水文学、水利工程、灾害防治等领域都具有非常重要的意义.传统的水位监测方法存在成本高、覆盖范围小等缺点,GNSS不仅具有导航、定位及授时的功能,还可以利用其反射信号获取反射面的特性信息并将其称为全球卫星导航系统反射测量(Global Navigation Satellite System-Reflectometry,GNSS-R).近年来,GNSS-R技术以低成本、全天候、高时空分辨率等优势为水位监测提供了一种新方法.本文对GNSS-R水位监测的研究现状、不同方法的影响因素以及当前应用过程中存在的问题进行了总结归纳提出了下一步的发展趋势,最后对其在我国水利行业的应用进行了展望. 展开更多
关键词 全球卫星导航系统反射测量(GNSS-R) 水位监测 群延迟 载波相位 信噪比(SNR)
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污水管道水位流速检测装置设计 被引量:2
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作者 陈丽珠 顾博文 +2 位作者 景鹏飞 周明连 许淑惠 《实验技术与管理》 CAS 北大核心 2024年第1期186-192,共7页
在线实时监测市政污水管道内污水的水位和流速能帮助市政管理部门精准掌握污水流动情况,及时了解管道出现的问题,提高工作效率。该文依据绕流理论设计并制作了一种基于浮球的水位和流速检测装置,通过测量浮球随水位变化的相对位移实现... 在线实时监测市政污水管道内污水的水位和流速能帮助市政管理部门精准掌握污水流动情况,及时了解管道出现的问题,提高工作效率。该文依据绕流理论设计并制作了一种基于浮球的水位和流速检测装置,通过测量浮球随水位变化的相对位移实现水位测量;通过测量流体对浮球的推力实现流速测量。装置的GSM/GPRS模块接收水位和流速的检测数据并传输至远程监控端,实现远程在线监测。在明渠标准实验台对该检测装置的水位和流速测量值进行标定和精度实验,实验结果表明:测量水位的偏差在±3 mm内,误差不大于其满量程的0.5%;流速测量偏差值在±0.04m/s内,误差不大于其满量程的5%。将该检测装置安装在实际的污水管道内,对污水水位和流速进行了为期三个月的实验监测,检测值的远程传输结果符合预期。 展开更多
关键词 水位 流速 检测 在线监测 污水管网 实验 模拟
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多光谱遥感影像在长江水位监测中的应用 被引量:2
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作者 魏翔 田程硕 +1 位作者 秦思娴 段梦梦 《测绘通报》 CSCD 北大核心 2024年第3期113-117,共5页
人类社会生活、生产活动与江河水位变化密切相关。河道水位监测系统可以实时掌握河道水位的变化情况,是科学预警水情隐患、保障港口及航运安全、提升防汛抗旱能力的重要手段。本文对长江局部水域面积与水位观测值之间的相关性进行了研究... 人类社会生活、生产活动与江河水位变化密切相关。河道水位监测系统可以实时掌握河道水位的变化情况,是科学预警水情隐患、保障港口及航运安全、提升防汛抗旱能力的重要手段。本文对长江局部水域面积与水位观测值之间的相关性进行了研究,并建立了回归方程;最终利用多光谱遥感影像提取出长江水域面积,并应用该回归方程进行长江水位的推算。结果表明,该方法能够为江河、湖泊、水库等水体的水位监测提供一种简便可行的估算方法。 展开更多
关键词 水位监测 多光谱影像 水域面积 归一化差值水体指数
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核电厂便携式低放废水在线监测设备关键技术探讨
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作者 周建旺 尤成懋 +3 位作者 梅翔杰 周克波 张素杰 尹旺明 《辐射防护》 CAS CSCD 北大核心 2024年第4期349-355,共7页
结合核电厂的实际情况和需求,梳理了低放废水的特点,明确了其对便携式在线监测设备的技术要求,其中最关键是能同时满足低探测下限(MDAC≤8 Bq/L)和便携性(设备总重≤50 kg)的限制。讨论了测量方式、探测器选型和校准方式等在线监测设备... 结合核电厂的实际情况和需求,梳理了低放废水的特点,明确了其对便携式在线监测设备的技术要求,其中最关键是能同时满足低探测下限(MDAC≤8 Bq/L)和便携性(设备总重≤50 kg)的限制。讨论了测量方式、探测器选型和校准方式等在线监测设备的关键技术,对低放废水进行了放射性在线监测,测量方式选择取样式,探测器选择大体积NaI晶体,校准方式选择代表点法。调研了低放废水在线监测设备的研究现状,现有的在线监测设备重量都在200 kg以上,与核电厂的要求之间存在较大的差距,有必要开展同时具备低探测下限和优异便携性的新型在线监测设备的研制。对新型探测器的应用、结构和新型测量方式的发展这三个研究方向给出了建议。最后,从提高探测效率的角度,提出了一种基于环形NaI晶体的新型探测器结构,初步论证了其探测下限和设备总重指标有望满足核电厂的要求。 展开更多
关键词 核电厂 低放废水 在线监测设备 便携式
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污水管网系统高水位下的问题诊断方法 被引量:1
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作者 余军 周雪丽 张晓维 《净水技术》 CAS 2024年第S01期157-164,183,共9页
国内较多城市的污水主干管网普遍存在高水位运行的现象,管网的问题诊断非常困难,影响运营及维修工作,无法有效保障污水收集与输送。文章结合东莞市区污水主干管网问题诊断项目实践,综合采用现场摸查、河道降水位、水位及水质在线监测大... 国内较多城市的污水主干管网普遍存在高水位运行的现象,管网的问题诊断非常困难,影响运营及维修工作,无法有效保障污水收集与输送。文章结合东莞市区污水主干管网问题诊断项目实践,综合采用现场摸查、河道降水位、水位及水质在线监测大数据分析等多源信息融合创新的方法,对市区污水处理厂主干管网的运行状况进行评估,查找管网系统的缺陷点。项目共查明河道与污水管网联通点83处,管道堵塞严重3处,管道外水入渗较大3处,有力指导运营及维修工作。通过诊断方法的多样化与融合创新,全面分析高水位运行下污水管网系统问题(管网堵塞、河道与管网联通等问题),可提高诊断的准确性和效率,是实现污水系统提质增效的核心之一。 展开更多
关键词 污水干管 高水位运行 问题诊断 河道降水位 水位在线监测 水质在线监测
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基于PS-InSAR的小浪底土石坝形变监测与稳定性模拟 被引量:2
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作者 刘辉 朱梦源 +2 位作者 赵文飞 李葛爽 周泊辰 《华北水利水电大学学报(自然科学版)》 北大核心 2024年第1期1-10,共10页
探索土石坝形变规律及稳定性分析是全球水利工程所关注的一个重大问题,对保障人民群众生命安全和经济健康发展具有重大意义。采用2017年3月至2021年9月小浪底土石坝55景Sentinel-1A卫星SAR影像,利用PS-InSAR技术,监测到小浪底土石坝近5... 探索土石坝形变规律及稳定性分析是全球水利工程所关注的一个重大问题,对保障人民群众生命安全和经济健康发展具有重大意义。采用2017年3月至2021年9月小浪底土石坝55景Sentinel-1A卫星SAR影像,利用PS-InSAR技术,监测到小浪底土石坝近5年从坝顶至坝底呈现“阶梯状”形变趋势,最大形变量达到-86.09 mm;并结合库水位、降雨量等因素,发现坝体整体呈现“夏急冬缓”的季节性形变趋势。进一步采用二维有限元方法,对小浪底土石坝的模拟模型进行渗流、应力分析。在高库水位情况下,相较于低水位情况,坝体渗流量更大、形变速率更大;在应力分析部分,发现坝体的垂直向形变趋势与InSAR监测结果相吻合,亦呈现“阶梯状”形变。研究成果不仅为小浪底土石坝运行稳定性分析及形变历史回溯提供理论基础和决策依据,也说明PS-InSAR技术与二维有限元模型模拟技术在水利工程监测方面具有巨大的应用潜力。 展开更多
关键词 PS-INSAR 土石坝 形变监测 稳定性分析 库水位
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