Data Logging and Control of a Remote Inverter Using LoRa and Power Line Communication

For decades, the power system was highly centralized. With the growing integration of distributed generations into the system, there is a necessity for bi-directional communication methods to monitor and control the remote assets. The primary objective of this paper is to develop a communication link for monitoring and controlling a grid-connected inverter in a remote location. Furthermore, the paper presents developments that have been incorporated to improve the communication link. The literature survey indicates that LoRa is superior compared to other technologies, but has some security and reliability issues. This paper also presents an encryption algorithm to improve the security of the LoRa link. Local data storage added to the system before transmitting data increases the system reliability. A display at the transmission end is added to improve the user-friendliness of the communication link. A Powerline Communication link is parallelly added to the LoRa link to improve the reliability. Finally, tests are conducted with an actual inverter and the results are presented. The tests show that the developed communication link has improved security and reliability, while its open nature makes it highly scalable and adaptable for employment in other smart grid applications.

Integration system research and development for three-dimensional laser scanning information visualization in goaf

An integration processing system of three-dimensional laser scanning information visualization in goaf was developed. It is provided with multiple functions, such as laser scanning information management for goaf, cloud data de-noising optimization, construction, display and operation of three-dimensional model, model editing, profile generation, calculation of goaf volume and roof area, Boolean calculation among models and interaction with the third party soft ware. Concerning this system with a concise interface, plentiful data input/output interfaces, it is featured with high integration, simple and convenient operations of applications. According to practice, in addition to being well-adapted, this system is favorably reliable and stable.

Designing an Intelligent Control Philosophy in Reservoirs of Water Transfer Networks in Supervisory Control and Data Acquisition System Stations

In this paper, a hybrid neural-genetic fuzzy system is proposed to control the flow and height of water in the reservoirs of water transfer networks. These controls will avoid probable water wastes in the reservoirs and pressure drops in water distribution networks. The proposed approach combines the artificial neural network, genetic algorithm, and fuzzy inference system to improve the performance of the supervisory control and data acquisition stations through a new control philosophy for instruments and control valves in the reservoirs of the water transfer networks. First, a multi-core artificial neural network model, including a multi-layer perceptron and radial based function, is proposed to forecast the daily consumption of the water in a reservoir. A genetic algorithm is proposed to optimize the parameters of the artificial neural networks. Then, the online height of water in the reservoir and the output of artificial neural networks are used as inputs of a fuzzy inference system to estimate the flow rate of the reservoir inlet. Finally, the estimated inlet flow is translated into the input valve position using a transform control unit supported by a nonlinear autoregressive exogenous model. The proposed approach is applied in the Tehran water transfer network. The results of this study show that the usage of the proposed approach significantly reduces the deviation of the reservoir height from the desired levels.

Real Time Control System for Metro Railways Using PLC & SCADA

This paper proposes to adopt SCADA and PLC technology for the improvement of the performance of real time signaling&train control systems in metro railways.The main concern of this paper is to minimize the failure in automated metro railways system operator and integrate the information coming from Operational Control Centre(OCC),traction SCADA system,traction power control,and power supply system.This work presents a simulated prototype of an automated metro train system operator that uses PLC and SCADA for the real time monitoring and control of the metro railway systems.Here,SCADA is used for the visualization of an automated process operation and then the whole opera-tion is regulated with the help of PLC.The PLC used in this process is OMRON(NX1P2-9024DT1)and OMRON’s Sysmac studio programming software is used for developing the ladder logic of PLC.The metro railways system has deployed infrastructure based on SCADA from the power supply system,and each station’s traction power control is connected to the OCC remotely which commands all of the stations and has the highest command priority.An alarm is triggered in the event of an emergency or system congestion.This proposed system overcomes the drawbacks of the current centralized automatic train control(CATC)system.This system provides prominent benefits like augmenting services which may enhance a network’s full load capacity and networkflexibility,which help in easy modification in the existing program at any time.

A call for enhanced data-driven insights into wind energy flow physics

With the increased availability of experimental measurements aiming at probing wind resources and wind turbine operations,machine learning(ML)models are poised to advance our understanding of the physics underpinning the interaction between the atmospheric boundary layer and wind turbine arrays,the generated wakes and their interactions,and wind energy harvesting.However,the majority of the existing ML models for predicting wind turbine wakes merely recreate Computational fluid dynamics(CFD)simulated data with analogous accuracy but reduced computational costs,thus providing surrogate models rather than enhanced data-enabled physics insights.Although ML-based surrogate models are useful to overcome current limitations associated with the high computational costs of CFD models,using ML to unveil processes from experimental data or enhance modeling capabilities is deemed a potential research direction to pursue.In this letter,we discuss recent achievements in the realm of ML modeling of wind turbine wakes and operations,along with new promising research strategies.

发动机装配生产线ANDON系统的关键技术实现

结合我国发动机装配生产线自身特点,在建立装配生产线的数据采集与监控系统的基础上,开发了发动机装配生产线ANDON系统。该系统实现了现场设备与车间人员的实时信息交互,从现场级层面保证了发动机的装配质量,具有重要的理论与实际应用价值。

基于Datawin组态软件的CG6000型直拉硅单晶炉数据采集系统

针对CG6000型直拉硅单晶炉数据运用效率低、难以实时存储和设备管理分散问题,设计应用串口通信的单晶炉数据采集系统,实现单晶拉制全工艺过程的实时数据采集。以SQL Server构建的单晶拉制数据库作为数据源,采用Datawin组态软件进行界面数据展示和开发。实际应用表明:该系统易于搭建、运行稳定,可以满足企业对单晶硅拉制参数的集中监控、存储、展示、分析及验证等多种实际需求。

Free Residual Chlorine Calibration by WaterCAD at El-Nozha Water Network in Alexandria Governorate, Egypt

Most of developing countries suffer from decreasing and poor quality of drinking water which led to emergence of many dangerous diseases. In addition, there isn’t any methodology followed to predict and disinfect drinking water by using advanced software program. Maintaining water quality in the water distribution system has become a prominent issue in the study of the water network. Residual chlorine concentration is the indicator to ensure the quality of water in the water network because it eliminates contaminants in the distribution network beginning of the treatment plant down to the consumer. In collaboration with Alexandria (Egypt) Water Company, samples were taken from El-NOZHA water plant station and El-HADARA water distribution network to know the free residual chlorine. In this paper, WaterCAD software has been used to make hydraulic analysis and calibration of residual chlorine in water distribution network to know the ideal chlorine dose that should be added at the water treatment plant and to know the areas of strength and weakness in the concentration of free residual chlorine in the water distribution network. In addition different scenarios have been found to know the free residual chlorine at the weakness areas after injecting chlorine in some junctions and the impact of a fire case or breaking in the water pipe distribution network on the residual chlorine. Results showed ensuring in the water quality in the distribution network by adding chlorine dose in water less than the existing dose which has been added in the El-NOZHA water treatment plant. It is possible to maintain the percentage of free residual chlorine concentration at different locations without relying on adding chlorine only in water treatment plant by injecting low percentage of chlorine dose in the junctions.

基于多层级时空图神经网络的风电机组在线异常检测

在风电场运营中,准确及时的故障检测是降低风电机组运行维护成本的关键。然而,现有检测方法未充分挖掘功能单元间的潜在时空关联,限制了检测准确性的提升。文中提出了一种基于多层级时空图神经网络的风电机组在线异常检测方法,以提高故障检测的准确性。该方法依据风电机组物理结构,将其功能单元划分为多个子图,从而构筑了一个多层级的时空图神经网络,通过图注意力机制和多头注意力机制全方位地分析风电机组各传感器节点与功能单元之间的关联强度。同时,针对数据采集与监控(SCADA)系统数据的时间关联,设计了动态图神经网络和时间注意力机制,使正常行为预测模型捕捉了SCADA系统数据的时间关联特性,实现了空间和时间特性的有效融合。最后,基于中国上海某风电场的实际数据验证了所提方法的显著有效性。

Three Projects of Intelligent Distribution Automation System in East Asia

Intelligent distribution automation system （IDAS） was developed based on distribution automation system that was installed in all distribution offices of Korea. IDAS was designed the combined system with the function of supervisory control and data acquisition （SCADA） and distribution automation system （DAS） for network operation from substation to high voltage customer, and it has been installed in Vietnam, China and Indonesia. This paper explains the project scope, system configuration, and the function of each sy stem.

车辆减振器装配线智能追溯系统研发与应用

针对目前车辆减振器行业存在的问题,追溯产品质量问题费力费时、没有车辆减振器的数据信息,且在生产过程中,产品出现质量问题无法预知等问题。通过在现有设备的基础上,研发设计一套智能追溯系统,实时收集制造过程信息、实时监控生产线及其设备的运行状态、减少故障响应及设备停机时间,提高生产效率,为设备改进提供数据依据,通过此系统,可以降低召回成本,提高产品的可靠性及其安全性。

基于FMQL的多通道数据采集实验平台设计与实现

为丰富电子信息类实验课教学内容,提高学生的系统工程能力,激发学生的学习热情和探索潜能,设计了一种基于FMQL的多通道数据采集全国产化实验平台。该平台利用集成FPGA和ARM的FMQL系列片上系统(SoC)芯片作为处理器,采用内部高级可扩展接口(AXI)总线实现采集数据的高速传输。通过该实验平台,使学生深入理解FPGA+ARM的体系架构,培养学生的软硬件协同设计与分析能力,引导学生认识信息技术自主可控对国家安全的重要性与紧迫性,推进新工科挑战性学习与研究型教学体系的建设与改革。

基于SCADA系统和信号处理的风力发电机主轴承故障分析与诊断

基于SCADA在线监测系统,通过该系统获取到主轴承实时振动数据,用小波包、集合经验模态分解模型进行信号处理和提取故障特征,分析其时域图的冲击信号、频谱图故障特征频率、包络谱故障频率幅值和谐波信号倍数情况,可以判断出主轴承故障位置以及受损情况,实现主轴承故障预警,为风力发电场现场运维人员高效维修提供帮助,降低运维成本。

基于工况辨识的风电机组主传动系统运行状态监测

针对风电机组主传动系统运行工况复杂多变,导致状态监测系统误报警率高的问题,提出一种基于工况辨识的风电机组主传动系统运行状态监测方法。首先采用最大互信息系数(MIC)选取数据采集与监视控制系统(SCADA)特征参数,运用k-均值聚类算法对主传动系统运行工况进行划分,解决机组运行状态复杂多变导致运行工况不清的问题;接着提取状态监测系统(CMS)特征参数,并采用层次分析法计算CMS特征参量相对权重,提出主传动系统运行状态评价指标与量化算法;最后利用核密度估计(KDE)方法确定阈值,根据阈值与运行状态指标的关系实现主传动系统异常监测。将该方法运用于实际风场,结果表明所提方法监测结果与实际相符。

SCADA系统在能源供应系统中的应用研究

随着我国节能环保事业的发展和公用事业的进步,以及计算机技术、通信技术、互联网技术的成熟,数据采集与监视控制(SCADA)系统的应用获得了飞跃式发展。在能源供应领域,SCADA系统的应用从代替人工上门抄表、人工统计计算、人工现场巡查,发展到复杂的统计分析以及对能源供应系统进行全面的监控,在实施“双碳行动”中发挥着重要作用。首先,阐述了能源供应SCADA系统的基本功能。然后,列举了通过SCADA系统实现能源管网管理的增强功能和应用效果。最后,归纳总结了SCADA系统的发展趋势。SCADA系统在能源供应系统中的应用,对“双碳”目标的实现具有积极促进作用。

基于LabVIEW的高冲击加速度校准系统设计与实现

高g值加速度传感器被广泛应用于先进兵器的研制当中,针对其10000gn以上的校准需求,建立了一种“端到端”的高冲击加速度校准系统。其中,基于LabVIEW开发环境设计系统软件,实现了对电磁发射装置、激光测速装置、数据采集卡以及信号调理仪等硬件设备的通信控制与数据传输,同时具备数据处理和证书生成等功能。经过试验验证,本文系统与标准装置的测量结果偏差仅为-0.78%,能够满足计量检定的需求。

基于聚合电网空间特征的电力线路参数辨识

电网线路参数辨识具有十分重要的意义,而电网结构日益复杂和数据污染等因素对参数辨识造成不良影响,传统的参数辨识方法已不能充分满足现有电力工作的需要。针对这一问题,文中提出了一种将图卷积运算和Transformer结合的多任务自注意力图卷积(SAGCN)模型,从不同的角度深度挖掘电网线路的空间特征。切比雪夫图卷积对空间特征信息进行预处理,Graph Former实现全局信息交互与邻接关系重构。通过对比传统算法和噪声干扰实验表明:所提出的模型不仅提高了多目标、多支路参数识别的精度,同时具有良好的鲁棒性。

激光跟踪仪CFIII三维控制网数据采集软件研制

根据激光跟踪仪自身特点和实际工程应用需要,设计开发了一款激光跟踪仪CFIII三维控制网数据采集软件,该软件主要为高速磁浮、火箭撬滑轨测设一类具有特殊精度要求的测量工作提供外业数据采集服务。本文首先按照软件开发的一般流程进行需求分析和功能设计,并以此为基础对激光跟踪仪控制网测量等相关功能算法进行研究,然后对其中一些关键的功能算法进行阐述,再对各项子功能进行编码实现。最后,本文设计了一系列测量对比分析和仿真计算实验对软件各项功能进行可靠性验证,实验结果表明,本文研制的软件运行正常,测量结果正确、可靠。

基于QScript脚本的SCADA系统自定义报表方法研究

传统SCADA系统通常只提供固定报表模板,无法满足用户多样化需求。因此,提出并实现了一种基于QScript脚本的创新方法,以提高系统的灵活性和用户体验。首先,通过引入易于编写和跨平台的QScript脚本技术,实现了数据源的动态选择与处理。这使得用户可以根据实际需求动态地选择和处理数据,提高了系统的灵活性和数据处理能力;其次,实现了报表模板的灵活设计与编辑。通过QScript脚本,用户可以自由设计和编辑报表模板,使其更符合实际需求。此外,还提供了丰富的报表模板编辑工具和选项,使用户能够轻松创建和编辑自定义报表;最后,通过QScript脚本实现数据与报表的动态绑定与展示。这确保了数据的实时更新和报表的动态展示,进一步提高了系统的灵活性和用户体验。实验表明,提出的方法增强了SCADA系统的自定义报表生成能力,提高了灵活性,降低了操作复杂性和开发成本,为SCADA系统报表生成提供了有力支持,能满足用户多样化需求,具有广泛的应用前景。

城市轨道交通数据采集与监控系统拓扑着色与二次逻辑可视化方法研究

本文提出一种基于图元重叠面积计算关联性的拓扑着色和二次逻辑可视化方法,用于改进电力监控系统的可视化展示和故障诊断功能。该方法首先计算图元矩形框的面积和相交面积,然后确定图元之间的连接状态,并将关联图元的属性参数设置为其关联的图元ID,最后在组态画面上以不同颜色显示关联状态。将该方法应用于数据采集与监控(SCADA)系统中,能够准确、实时地实现画面中电流的更新,具备较好的可视化效果和高维护性。