Construction of multi-factor identification model for real-time monitoring and early warning of mine water inrush

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%.

Research on Monitoring and Earlywarning System of Marine Organisms for the Intake of Nuclear PowerPlants

An monitoring and earlywarning system is proposed for marine organisms and the cause of water intake blockage is analyzed. Based onthe intelligent sensing technology, computer software and hardware technology and digital signal processing technology, the buoy monitoring platformsystem is developed by internet of things technology, cloud computing and the application of large data. Remote realtime monitoring of aquatic organisms and foreign bodies is realized based on underwater acoustic detection and low light imaging technology. Data processing center is established to store, analyze and process monitoring information and display it in real time, and provide emergency decision support. Through development and test of relevant key equipments, the reliability of cold source system of nuclear power plants is improved, which effectively reduces theinfluence of marine biological invasion on security and economic operation of the units.

An IoT-Based Aquaculture Monitoring System Using Firebase

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.

Design on Vibration Monitoring and Fault Diagnosis System of Large Water Pump Motor

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.

Efficient Approach for Monitoring and Controlling Water Parameters Utilizing Integrated Treatment Based on WSNs

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.

Real-time remote monitoring system for aquaculture water quality

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.

河流水质自动监测站取水平台优化设置技术要点与案例

水质自动站是获取水环境质量数据的重要手段。国家相关标准对于水质自动站站址选择做了原则性的规定,但是自动站取水口受河道冲淤,人类活动的影响,可能影响监测结果的代表性和准确性。本文介绍了自然河流水质自动站取水平台优化设置的技术要点:自然河流水质自动站站址选择尽可能选择顺直或尽可能不受冲淤影响的河段、取水平台位置的99%水位保证率下水深不小于1m、流速不小于断面平均流速的30%。以阿七大桥水质自动站为例,分析了取水平台受下游电站运行和河道冲淤对取水平台获环境的影响,明晰了获取水样代表性不足的原因,提出阿七大桥断面取水口位置优化建议。

岩塞爆破在水源地取水口工程中的应用研究

以兰州水源地建设工程取水口岩塞爆破为例,分析了岩塞爆破的特点和基本设计要求,探讨了岩塞形状和尺寸的确定、聚渣坑设计、爆破孔布置、装药结构、起爆网路、施工流程等岩塞爆破实施的主要技术措施和注意事项。通过振动监测对爆破实施效果进行分析,结果证明该爆破方案合理可行。

Optimization of DNA Staining Technology for Development of Autonomous Microbe Sensor for Injection Seawater Systems

Microbial activity in the water injection system in oil and gas industry leads to an array of challenges, including biofouling, injectivity loss, reservoir plugging, and microbiologically influenced corrosion (MIC). An effective mitigation strategy requires online and real-time monitoring of microbial activity and growth in the system so that the operators can apply and adjust counter-measures quickly and properly. The previous study [1] identified DNA staining technology-with PicoGreen and SYBR Green dyes—as a very promising method for automated, online determination of microbial cell abundance in the vast Saudi Aramco injection seawater systems. This study evaluated DNA staining technology on detection limit, automation potential, and temperature stability for the construction of automated sensor prototype. DNA staining with SYBR Green dye was determined to be better suited for online and real-time monitoring of microbial activity in the Saudi Aramco seawater systems. SYBR Green staining does not require sample pre-treatment, and the fluorescence signal intensity is more stable at elevated temperatures up to 30℃. The lower detection limit of 2 × 103/ml was achieved under the optimized conditions, which is sufficient to detect microbial numbers in Saudi Aramco injection seawater. Finally, the requirements for design and construction of SYBR-based automated sensor prototype were determined.

水利行业标准《水量计量设备基本技术条件》编制研究

通过对水资源取用水水量计量监测设备的产品现状、现行标准现状、现场实际应用现状的调研分析,结合当前水资源取用水水量计量监测工作的实际需求和特点,制定了水量计量监测设备的基本技术要求和试验要求标准,本文重点介绍标准研究与编制的背景和过程,阐述标准编制的必要性以及编制的原则和方法。

水利工程白蚁危害综合治理中自动监测关键技术研究与应用

白蚁侵入泥土坝体后,在其内筑巢,在背水坡取食,在迎水坡取水,形成蚁道,严重影响坝体安全。推进水利工程白蚁防治综合治理,白蚁自动监测技术的准确率是重要基础。研究人员突破白蚁诱集触发关键技术,自主研发了电磁感应非环路技术(DEMINL),并由此开发白蚁远程实时监控系统。介绍了系统的研发过程、组成部分、配套技术,以及在水库堤坝白蚁防治中的应用实践。

管道型取水监测计量能力提升技术研究

随着经济社会不断发展,全国取用水情况也发生了较大的变化,为适应新形势下水资源管理工作高质量发展要求,响应智慧水利数字孪生数据底板构建需要,全国水资源监测计量体系建设工作亟待加强,管道型取水作为我国现阶段主要的取水形式,研究其监测计量能力提升技术方法十分有必要。以现场调查与数据收集相结合的方式,调查研究2021年收集的全国550多万个取水口数据,从全国和典型省区两个层次,按照不同取水规模、取水用途、取水工程、监测计量设施和输水类型等要素分类对取水口监测计量现状进行分析,针对管道型取水口的监测计量设施比选、监测精度提高、监测稳定性和持久性提高、系统平台功能应用提高等方面提出技术方法,推动管道型取水监测计量能力提升。研究表明:①全国取水口的数量分布特点显著,取水口数量巨大、空间分布不均,北方地区取水口多,以地下水取水口为主,南方地区取水口少,以地表水取水口为主;②全国取水口监测计量工作应进一步加强,现阶段工作重点应该为提升管道型取水监测计量能力,取水规模、取水场景和取水用途等条件不同,采用的监测计量方法和设施也不同。不同监测计量设施间误差、环境适应性、计量成本、优缺点和唯一性应用场景有较大的差异;③管道型取水口监测计量提升是一项综合性工作。需要从提高监测计量精度、稳定性和持久性、系统平台应用能力和出台相关技术标准等4个方面着手,全面提升取水口监测计量能力。研究结果为全面掌握我国取水口监测计量现状提供重要基础数据参考,为管道型取水监测计量能力提升提供技术参考,下一步取用水监管工作提供技术支撑。

取水口监测计量现状调查研究

取水口监测计量工作是取用水管理的重要环节,因此,及时准确地掌握全国和典型省区取水口监测计量情况,对于下一步加强取用水监管工作来说十分必要。本文以现场调查与数据收集相结合的方式,对2021年收集到的全国550多万个取水口数据进行研究,分全国和典型省区两个层面,梳理取水口监测计量现状,从取水口数量和水量两个角度,研究不同取水规模、水源类型、计量设施、工程类型和取水用途的取水口分布规律。研究表明,从全国层面看,取水口数量巨大,空间分布不均,非农业取水口监管情况较好,监测计量区域性特点显著;从典型省区层面看,不同省区取水口数量和水量特征不一,不同评价指标间差异较大,农业用水依然是管理薄弱环节。此调查研究成果可为全面掌握我国水资源监测计量情况提供重要基础数据参考,为全面提升我国水资源管理能力提供技术支撑。

云南省取水口监测计量体系建设对策探析

文章结合云南省取水口取水监测计量现状情况及建设目标任务,总结分析了云南省取水口取水监测计量体系建设管理中存在的问题,有针对性地从加强取水口现场查勘、进一步压实责任、多渠道筹集资金、加强技术指导和监督考核、完善取水口监测计量有关技术细则、建立健全运行管理制度等方面,提出了对策措施。

基于桑基图的哈尔滨市取水口监测计量可视化分析

取水口取水监测计量是取用水管理不可或缺的手段,是发挥水资源刚性约束作用的重要基础性工作。由于桑基图的宽度总是与流量大小成正比,所以,文章通过桑基图对哈尔滨市2019年取水口监测计量情况分析,从桑基图中更为直观分析出哈尔滨市取水口监测计量情况,并对哈尔滨市2021—2023年取水口监测计量分阶段目标和任务进行论述,明确了取水口监测计量的重点任务。

广西水资源监控能力建设二期项目运行维护实践

2021年,国家水资源监控能力建设广西二期项目完成全部建设任务正式投入运行,有效改善了广西水资源监控手段缺乏、取水计量在线率偏低的问题。项目建成投入使用后,如何确保项目良性运行,持续发挥监控效益成为重要问题,本文通过分析2022年项目取用水监测站群的运行状况,提出运行维护主要对策。

分层泵抽式海洋养殖环境智能监测系统设计

针对围网养殖和大型网箱养殖模式下水质监测智能装备缺乏的问题,设计了一套可以监测2层水层的海洋养殖环境智能监测系统。系统架构包括感知层、网络层、平台层和应用层,可监测海洋表面光照强度和两层水层的pH、溶解氧、温度和盐度,并将监测数据自动存储在MySQL数据库。系统添加短信预警和远程控制功能,当监测数据出现异常时,系统自动分析数据并将异常数据通过短信方式实时发送至用户,用户及时查看养殖环境并对设备进行远程控制。为了测试系统稳定性,进行海水实际测量测试,系统设备在现场稳定运行2个月。该监测系统可以为围网和大型网箱设备的环境监测提供设备支持。

KL水电站大碧沟泥石流特性及防治设计

大碧沟位于KL水电站坝址左岸上游400 m,沟道顺直,主沟长26.37 km,沟谷相对高差2487 m,为稀性、中等发育泥石流沟。由于工程施工需要,KL水电站大坝混凝土生产系统布置在大碧沟沟内,为了保证施工期混凝土系统生产和人员安全,需要对大碧沟沟水和泥石流进行防治。根据大碧沟的地形和地质条件,结合沟内泥石流特性,在泥石流防治设计中采用了格栅坝、排水洞、进水塔、挡水坝等工程防治措施及泥位计、视频监控等监测设施。大碧沟泥石流防治设计可为西部地区类似工程泥石流防治提供参考。

取水监管系统构建关键技术体系综述

近年来,作为实行最严格的水资源管理制度的重要支撑,取水监管系统建设日益受到重视。针对当前取水监管系统建设、运行及使用过程中存在的稳定性、可靠性、实用性及长效性不足问题,通过对多个省地市级取水户监管系统建设与运维的经验总结,提出了覆盖由前端计量至运维管理的取水监管系统7个关键环节的技术要点,包括智能遥测终端适应性改造升级、计量方案优选策略、复杂条件计量建造及率定方法、适应多品牌计量数据集成、基于逻辑链的数据异常诊断、水资源监管系统定制研发及高效运维管理模式等,为完善取水监管系统,切实发挥系统的信息化支撑作用等提供重要的技术参考。

GPRS在灌区取水计量远程监控系统中的研究与应用

以《21世纪初期首都水资源可持续利用规划》灌区节水项目量水监控设施建设的研发为例，介绍了利用GPRS实现灌区取水计量远程监控系统的构架、功能、数据管理和应用效果，表明GPRS是灌区取水计量远程实时监测的优选通信网络。