Remote Visualization of High-Speed Rail Power Quality Monitoring

The visualization techniques were explored for power quality monitoring.And remote visualization solutions were proposed for highspeed rail power quality monitoring.Taking the Beijing-Shanghai highspeed rail power monitoring as a study case,a remote visualization client,based on our proposed solutions,was developed for high-speed rail power quality monitoring to efficiently support power quality data analysis of the electricity business.The solutions collected data from monitoring stations deployed along the high-speed rail route and visualized the data set with a variety of visualization technologies to alert the specific stations of catastrophic events.The proposed solutions have been proved to be effective in supporting decision-making for the railway power scheduling and providing diagnosis information for quickly spotting any possible runtime failure in operation.

Investigate Weld Quality of Gas Metal Arc Welding Process Through Online Monitoring of Input Parameters

Gas metal arc welding(GMAW)is also referred as the metal inert gas(MIG)welding which is a process of welding done by the formation of an electric arc between the consumable wire electrode and the workpiece.Through the welding process,a continuous flow of inert gas is supplied,and it avoids the weld being subjected to react with atmospheric air.The process can be automatic or semi-automatic where the main input parameters like current and the voltage can be direct and constant,respectively.Not only the current and voltage the welding quality depends on some more input parameters such as arc gap,velocity,and temperature.In this paper,we explain about a setup which is capable of real-time monitoring of input parameters mentioned above and selecting the best MIG welding parameters for the mild steel.The setup is composed of several sensors and microcontrollers for the collection and the measurement of the input parameters.The samples were categorized according to the federate and the voltage adjustment of the selected welding machine.Then the final objective was to identify the samples of the weld with different parameter changes which are monitored through the system.For the analysis,the samples were subjected to tensile and hardness tests,and microstructure tests to find the dependence of the input parameters which effect for the weld quality.Finally,the experimental results verified the effectiveness of the system for the selection of the quality weld.

Real-time compaction quality monitoring of high core rockfill dam

The conventional quality control method of core rockfill dam construction exhibit difficulty controlling compaction parameters accurately or ensuring construction quality. This is because it is easily influenced by human behavior or lack of adequate management. We therefore establish the timely monitoring indexes and control criteria of compaction processes by considering the characteristics and quality requirements of high core rockfill dam construction. Based on the established indexes and criteria, integrating GPS, GPRS and PDA technologies, a real-time compaction quality monitoring method is proposed. The relevant key techniques are proposed as well, including automatic collection of information and a graphic algorithm for rolling-process visualization. By the proposed method and techniques, a real-time monitoring system is provided to realize the precise automatic online entire-process monitoring of compaction parameters, including compaction pass, rolling trajectory, running speed of roller, vibration status and rolled pavement thickness. The application of the Nuozhadu project shows that the proposed system can control compaction parameters effectively and ensure better construction quality. Therefore, it might become a new way towards construction quality control of high core rockfill dam.

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.

Intelligent compaction theory of high roller compacted concrete dam

The concept and realization process of intelligent compaction for the construction of high roller compacted concrete dam were presented,as well as the theory of monitoring and intelligent feedback control.Based on the real-time analysis of the compaction index,a multiple regression model of the dam compactness was established and a real-time estimation method of compaction quality for the entire work area of roller compacted concrete dam was proposed finally.The adaptive adjustment of the rolling process parameters was achieved,with the speed,the exciting force,the roller pass and the compaction thickness meeting the standards during the whole construction process.As a result,the compaction quality and construction efficiency can be improved.The research provides a new way for the construction quality control of roller compacted concrete dam.

Theoretical research on construction quality real-time monitoring and system integration of core rockfill dam

With the enlargement of core rockfill dam construction scale and the improvement of construction mechanization level, the traditional manual construction quality control method is now difficult to meet the quality and safety demands of modern dam construction, so automatic and real-time dam construction quality monitoring with high-techs is urgently needed. The paper makes theoretical research on construction quality real-time monitoring and system integration of core rockfill dam, proposes implementation method and integrated solution of construction quality real-time monitoring of core rockfill dam construction process, realizes refining, all-whether, entire-process and real-time control and analysis on key links of dam construction, and introduces the application of the construction quality real-time monitoring and system integration technology to a practical core rockfill dam project.

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.

Real-time monitoring system for quality monitoring of jujube slice during drying process

The real-time monitoring and prediction system for quality attributes of jujube slices during the drying process was designed to solve the problem of destructive and inconvenient of the traditional quality detection method and realize quality online monitoring.Firstly,machine vision and automatic weighing were employed to monitor the color and moisture content changes of jujube slices in real-time.Secondly,correlation models between color parameter(a^(*)value)and nutritional quality attributes(vitamin C,reducing sugar)were established to predict vitamin C and reducing sugar content of jujube slices during the drying process.Finally,the upper computer monitoring software was integrated and designed based on LABVIEW virtual instrument,and the real-time monitoring system was tested and validated.Results showed that:the changing trends of color(L^(*),a^(*),and b^(*)values)monitored by the system were basically the same as the results detected by color difference meter,and the average errors of L^(*),a^(*),and b^(*)values were 0.93,0.52,and 0.73,respectively.The average relative error of moisture content between the system monitoring and manual static detection was 0.18%.The average error of vitamin C and reducing sugar content between the system prediction and manual detection were 50 mg/100 g in dry basis and 0.71g/100 g in dry basis,respectively.The current work can provide a useful reference for real-time monitoring of quality attributes of fruits and vegetables during the drying process.

粉砂质泥岩路基压实质量连续控制技术

粉砂质泥岩颗粒强度差异较大,压实质量难以控制。依据结构动力学方法分析压路机振动轮与路基填筑体抗力响应之间的关系,借助现场试验段采集压实过程振动轮振动加速度信号,并进行快速傅里叶变换获取基频振幅和一次谐波振幅,据此得到连续振动压实值(CMV)。对比分析不同振动压实次数下压实度、沉降量和弯沉值与CMV值的相关性。结果表明,随着压实次数的增加,CMV值逐渐增加,与FWD动态弯沉值、压实度及累计沉降量间有良好相关性,据此提出了粉砂质泥岩路基压实的CMV控制值,研究结果有助于粉砂质泥岩路基的连续压实质量控制。

海南滨海粉细砂路基压实工艺与质量控制

海南滨海粉细砂路基的压实及质量检测是施工中的技术难题。结合海南环岛旅游公路项目,提出滨海粉细砂路基的压实质量检测方法,铺筑试验路段,研究滨海粉细砂路基的压实工艺及压实质量。结果表明:滨海粉细砂地基压实适宜采用在碎石土垫层上进行冲压和振压相结合的方式;粉细砂路堤可随挖随填、快速填筑,采用双钢轮压路机压实,压实厚度不宜超过20 cm,振动碾压遍数不宜小于4;压实质量可采用预埋土样盒的检测方法,压实度控制标准为不宜小于88%。试验路段的工程效果良好。

堆石坝碾压监控系统的应用浅谈

近年来,抽水蓄能电站作为主要的储能、调峰设施,迎来了高速发展。面板堆石坝作为抽水蓄能电站的主要坝型,具有高开挖、高填筑的施工特征,同时填筑质量要求严格,传统的施工管理方法已不能满足面板堆石坝填筑碾压质量的要求,迫切需要新的动态质量管理方法。智慧碾压监控系统以BIM平台为基础,融合移动网络技术、物联网技术、BDS北斗定位技术、大数据等技术,实现了面板堆石坝填筑碾压施工过程的数字化监控,保障堆石坝填筑施工质量。

Auto Identification of Rolling Layers in Roller-Compacted Concrete Dam

A scheme for identifying rolling layers in roller-compacted concrete (RCC) dam automatically was presented. First, a conceptual model was developed. Second, by using a computational geometry method, the auto identification of rolling layers and auto matching between rolling compaction machines and rolling layers were realized based on spatial control points. An application to the construction of Guandi RCC dam showed that the auto identification of rolling layers played an important role in ensuring the engineering quality.

Quality monitoring of real-time GNSS precise positioning service system

The Real-Time Global Navigation Satellite System(GNSS)Precise Positioning Service(RTPPS)is recognized as the most promising system by providing precise satellite orbit and clock correc-tions for users to achieve centimeter-level positioning with a stand-alone receiver in real-time.Although the products are available with high accuracy almost all the time,they may occasionally suffer from unexpected significant biases,which consequently degrades the positioning perfor-mance.Therefore,quality monitoring at the system-level has become more and more crucial for providing a reliable GNSS service.In this paper,we propose a method for the monitoring of realtime satellite orbit and clock products using a monitoring station network based on the Quality Control(QC)theory.The satellites with possible biases are first detected based on the outliers identified by Precise Point Positioning(PPP)in the monitoring station network.Then,the corresponding orbit and clock parameters with temporal constraints are introduced and esti-mated through the sequential Least Square(LS)estimator and the corresponding Instantaneous User Range Errors(IUREs)can be determined.A quality indicator is calculated based on the IUREs in the monitoring network and compared with a pre-defined threshold.The quality monitoring method is experimentally evaluated by monitoring the real-time orbit and clock products generated by GeoForschungsZentrum(GFZ),Potsdam.The results confirm that the problematic satellites can be detected accurately and effectively with missed detection rate 4×10^(-6) and false alarm rate 1:2×10^(-5).Considering the quality alarms,the PPP results in terms of RMS of positioning differences with respect to the International GNSS Service(IGS)weekly solution in the north,east and up directions can be improved by 12%,10%and 27%,respectively.

龙溪口航电工程防护堤碾压过程监控与压实质量分析

龙溪口航电防护堤工程是保护沿岸人民生命财产安全和维护龙溪口枢纽工程安全正常运行的重要工程,其施工质量至关重要。传统航电工程防护堤碾压过程采用试坑试验法检测压实度来进行质量检查与控制,难以实现全过程的实时控制。为保证施工质量,采用GNSS(全球导航卫星系统)和人工智能技术,研发龙溪口防护堤工程碾压过程监控系统,实现了对碾压轨迹、速度、遍数以及激振力状态的实时监控,基于灰狼优化的核极限学习机算法,提出压实质量评估模型,实现压实质量的实时分析。结合实际工程,通过对比平均绝对误差、均方根误差、相关系数,新型压实质量评估模型精度高于传统的BP神经网络、支持向量机(SVR)、极限学习机(ELM)模型。

强夯施工智能化监测系统的开发

为了解决传统强夯施工中监测不精准的问题,通过集成北斗/GNSS天线、智能接收机、RFID落距传感器、智能显控终端等硬件设备,研发了强夯施工质量智能化监测系统,对强夯工程的关键工序进行自动、实时、动态、高效的监测和记录。系统通过北斗/GNSS天线的高精度定位数据进行夯点的定位和引导,使用RFID落距传感器,根据第一次提锤高度和第二次提锤高度的差值计算夯沉量与夯击次数,利用数字化施工云平台实现对施工过程的全面监测、远程管理和实时协作。系统减少了人为错误和不确定性,提高强夯施工效率和质量,为强夯施工的发展提供重要的技术进步和创新。

Automated monitoring and warning solution for concrete placement and vibration workmanship quality issues

Placing and vibrating concrete are vital activities that affect its quality.The current monitoring method relies on visual and time-consuming feedbacks by project managers,which can be subjective.With this method,poor workmanship cannot be detected well on the spot;rather,the concrete is inspected and repaired after it becomes hardened.To address the problems of retroactive quality control measures and to achieve real-time quality assurance of concrete operations,this paper presents a monitoring and warning solution for concrete placement and vibration workman-ship quality.Specifically,the solution allows for collecting and compiling real-time sensor data related to the work-manship quality and can send alerts to project managers when related parameters are out of the required ranges.This study consists of four steps:(1)identifying key operational factors(KOFs)which determine acceptable workmanship of concrete work;(2)reviewing and selecting an appropriate positioning technology for collecting the data of KOFs;(3)designing and programming modules for a solution that can interpret the positioning data and send alerts to project managers when poor workmanship is suspected;and(4)testing the solution at a certain construction site for validation by comparing the positioning and warning data with a video record.The test results show that the monitoring performance of concrete placement is accurate and reliable.Follow-up studies will focus on developing a communication channel between the proposed solution and concrete workers,so that feedbacks can be directly delivered to them.

夹岩水利枢纽工程数字大坝与堆石坝碾压质量实时监控技术

为减少人为因素对堆石坝碾压工程施工质量的干扰,提高工作效率、提升水利工程安全生产标准化建设水平,夹岩水利枢纽工程面板堆石坝运用了“数字大坝”碾压质量实时监控系统。通过在碾压设备上安装高精度GNSS接收机,自动记录堆石坝在碾压施工过程中的碾压机械行走速度、振动频率、碾压遍数和压实厚度等数据,实现了碾压堆石坝施工质量的全自动控制。运用网络与数字化技术,研究成果实现了施工质量全过程控制,有效提高了工程建设管理水平。

连续监控下土石坝碾压参数的控制标准及其确定方法

为适应连续监控下土石坝施工中对碾压参数的控制要求,提出将行车速度持续超速时间、激振力持续不达标时间、压实厚度及碾压遍数合格率作为施工全仓面碾压参数的控制指标;并在分析各碾压参数与心墙坝料压实度之间相关性的基础上,建立了碾压遍数、压实厚度、料性参数(坝料含水率和级配)与压实度的多元回归模型;进而提出了满足现行规范要求的坝料压实质量所对应的、基于Monte-Carlo法的碾压遍数合格率控制标准的确定方法。工程实例分析表明,遵循所提出的碾压参数控制标准,心墙区试坑检验的坝料压实度均满足设计要求,从而为连续监控下土石坝碾压质量的控制提供了有效途径。

公路沥青层振动压实质量实时监控与评估

为了克服传统公路沥青层压实质量控制方法的局限性,基于智能碾压(intelligent compaction,IC)技术,提出了结合振动加速度频域分析指标和单位体积压实功E的公路沥青层压实质量实时监控与快速评估方法,实现100%施工工作面压实质量的快速评估,避免了单独采用振动加速度频域分析指标评价沥青层压实质量易受路基(二灰层、水稳层)坚硬程度的影响,从而可减少压实度推算的误差,可客观地反映公路沥青层压实质量。

路基压实质量连续动态监控技术

为了解决粗粒土路基压实质量较难控制的问题,在分析了已有连续压实质量控制方法的基础上,提出了以连续测试路基结构抗力变化信息为特色的动力学监控方法。根据压实机具与路基结构相互作用的动力学分析,以振动压路机为测试对象,采用系统识别原理和动态测试技术,通过对压实机具与路基结构相互作用的连续测试,得到了能反映结构压实状态变化的抗力信息。以路基结构在形成过程中抗力的变化来评价压实状态的变化,实现了在压实过程中连续实时的质量监控。该方法不同于国外流行的压实计谐波比的评价方法,适用范围更广,现场操作方便,更适用于粗粒土的压实质量监控。