The development of data acquisition and control system for extraction power supply of prototype RF ion source

A 16 kV/20 A power supply was developed for the extraction grid of prototype radio frequency（RF） ion source of neutral beam injector. To acquire the state signals of extraction grid power supply（EGPS） and control the operation of the EGPS, a data acquisition and control system has been developed. This system mainly consists of interlock protection circuit board, photoelectric conversion circuit, optical fibers, industrial compact peripheral component interconnect（CPCI） computer and host computer. The human machine interface of host computer delivers commands and data to program of the CPCI computer, as well as offers a convenient client for setting parameters and displaying EGPS status. The CPCI computer acquires the status of the power supply. The system can turn-off the EGPS quickly when the faults of EGPS occur. The system has been applied to the EGPS of prototype RF ion source. Test results show that the data acquisition and control system for the EGPS can meet the requirements of the operation of prototype RF ion source.

AN APPLICATION OF LABVIEW ON AUTOMATIC DATA ACQUISITION AND CONTROL IN GEOTECHNICAL LABORATORY TESTS

The characteristics of USB data acquisition system NI cDAQ and its control software LabVIEW are briefed.The methods for controlling GDS pressure and volume controller by LabVIEW through serial port communication are presented.A practical data sharing method among geotechnical testing systems is illustrated.As an application case on a modified conventional soil triaxial testing system, the automatic triaxial testing system is designed by LabVIEW.Based on the control panel, the cell pressure and back pressure can be controlled independently and the testing data can be recorded automatically.

Data acquisition and control system for lead-bismuth loop KYLIN-Ⅱ-M

Among different heavy liquid metals(HLMs), lead-bismuth eutectic(LBE) is considered at present as a potential candidate for the coolant of new generation fast reactors(critical and subcritical) and for liquid spallation neutron sources and accelerator driven systems(ADS). A high temperature liquid LBE loop, KYLIN-II-M,has been built to study the characteristics of corrosion and fluidity of LBE at the Institute of Nuclear Energy Safety Technology. However, due to the sensors and execution components of the loop work at high temperatures and in severely corrosive environments, the reliability and security of the data acquisition and control system(DACS) of KYLIN-II-M face challenges during the loop operation. In order to meet the urgent needs for KYLIN-II-M's long-term stable operation, a virtualization and redundancy control system has been developed.The onsite operation result shows that the DACS is stable and reliable. In this paper, the experimental results are described in detail.

基于SCADA-DCS通讯技术的油气开采数据自动化采集与控制系统

设计基于SCADA-DCS通讯技术的油气开采数据自动化采集与控制系统。系统以SCADA服务器为上层监控服务器,通过与井站现场仪器仪表实时通信,监控整个开采过程。当油气缓冲罐液位越限时,SCADA服务器自动下达指令至原油处理站DCS,启动基于智能PID的油泵控制器,调节油泵变频器,控制油气液位不溢出。系统使用SCADA-DCS通讯技术的MODBUS通信协议,并根据通信中断优先级分配方法,确保对中断处理时间要求高的通信请求能实时响应。实验结果表明,该系统能提升油气液位控制和紧急信息通讯效率。

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.

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SCADA数据协同的风力机故障检测与控制

为了在不停机的前提下,安全可靠地对齿轮箱进行故障检测,并实现风力发电机在齿轮箱故障工况下的容错控制运行,提出一种基于标准数据采集与监视控制(SCADA)数据协同的风力机故障检测与控制方案。介绍了风力发电机的系统模型与SCADA解决方案框架,通过回归建模、异常分析和集成学习对风力发电机系统进行故障检测并获得健康指标;借助模糊逻辑控制对风力发电机的输出功率进行降额控制,从而实现风力发电机在齿轮箱故障工况下的容错控制运行,最后进行仿真实验,并将仿真结果与一个实际运行的2 MW风力发电机系统进行对比。实验结果表明:该故障检测与容错控制方案可以有效地对齿轮箱进行故障检测,并在存在故障时适当对风力发电机的输出功率进行降额控制,从而降低叶片和塔架承受的应力,并有效降低了齿轮箱轴承和润滑油的温度。

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。

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.

Enhancing Patients Outcomes and Infection Control through Smart Indoor Air Quality Monitoring Systems

Air pollution poses a critical threat to public health and environmental sustainability globally, and Nigeria is no exception. Despite significant economic growth and urban development, Nigeria faces substantial air quality challenges, particularly in urban centers. While outdoor air pollution has received considerable attention, the issue of indoor air quality remains underexplored yet equally critical. This study aims to develop a reliable, cost-effective, and user-friendly solution for continuous monitoring and reporting of indoor air quality, accessible from anywhere via a web interface. Addressing the urgent need for effective indoor air quality monitoring in urban hospitals, the research focuses on designing and implementing a smart indoor air quality monitoring system using Arduino technology. Employing an Arduino Uno, ESP8266 Wi-Fi module, and MQ135 gas sensor, the system collects real-time air quality data, transmits it to the ThingSpeak cloud platform, and visualizes it through a user-friendly web interface. This project offers a cost-effective, portable, and reliable solution for monitoring indoor air quality, aiming to mitigate health risks and promote a healthier living environment.

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。

面向工程机械行业的SCADA系统的设计及实现

工程机械行业的企业生产车间大多涉及多个厂区,涵盖许多类型各异的生产机加设备,导致对设备复杂数据的监控、采集和分析等工作非常困难,同时与各个设备相关的设计、工艺、制造和售后等的复杂流程,也导致了管理上的混乱问题。因此,通过消除设计、工艺、制造和售后等各个环节的信息孤岛,统一监控和采集各个生产机加设备的数据并形成一体化的数字化管理模式,设计和开发一套智能化的SCADA系统是解决这类问题的关键举措。

基于SCADA告警数据的电网故障类型判断方法

为了提高电网故障诊断效果,提出基于SCADA告警数据的电网故障类型判断方法。构建引入动量项、自适应学习率的改进小波神经网络故障识别模型,采用提升小波对元器件两端线路数正序信号进行分裂、预估、调整等过程分解,获取不同尺度正序信号输入神经网络,输出结果即为细化的电网故障类型。实验结果表明,分解尺度为3时,故障录波信号均方误差最小,小波神经网络性能更稳定。该方法根据相间两相电流突变量情况判断故障类型及故障相,可精准判断电网故障类型及故障原因。

SCADA与DCS一体化监控技术要点分析

为深入分析监控与数据采集(SCADA)和分布式控制系统(DCS)一体化监控技术的要点,并探讨其在工业自动化领域的应用,本文首先设计了基于一体化监控技术的系统框架,该框架融合了SCADA和DCS的关键功能。然后详细讨论了其关键模块,包括数据采集与处理模块、数据分析与预测模块等。最后通过实验测试证明该系统的高效准确性。以期通过该论文研究成果为工业生产提供更高效、可靠和智能的监控方案,推动工业自动化向更高水平发展。

设备状态智能采集监测系统(SCADA)在锅炉制造行业的应用

设备状态智能采集监测系统(SCADA)是以计算机和以太网通讯技术为基础的生产过程监视系统,对生产设备的相关状态及工作参数进行实时远程监测。项目规划初期,我们基于公司离散化生产、通讯协议种类多、智能设备覆盖程度低等特点采用了针对性的建设方案,有效地解决了重型制造业在从自动化向智能化升级过程中的诸多痛点。管理者可以通过该系统远程监控设备的工作状态、能耗、工艺参数、报警文本等生产过程数据,为数字化生产管理提供必要的数据支撑。

面向电力SCADA系统的FDIA检测方法综述

信息通信技术的发展和智能设备的引入使电力系统逐渐演变为电力信息物理系统,而信息层与物理层之间的深度耦合也加剧了电力系统遭受网络攻击的风险。虚假数据注入攻击(false data injection attack,FDIA)作为一种兼具隐蔽性、灵活性和攻击导向性的网络攻击方式,对电力数据采集与监控(supervisory control and data acquisition,SCADA)系统的安全稳定构成很大威胁。为应对这一威胁挑战,学者们研究了各种各样的FDIA检测方法。该文对面向电力SCADA系统的FDIA检测方法进行综述,首先介绍了FDIA的攻击原理及构建方法,梳理了FDIA检测算法的发展历程,并按照模型驱动和数据驱动对算法进行了分类整理,针对模型驱动中的基于状态估计、图论、物理特性等检测方法和数据驱动中的有监督学习、无监督学习、半监督学习、对抗博弈学习和强化学习等检测方法分别进行了机理分析;然后对比分析了相关算法的检测性能、优缺点及其适用场景;最后,对FDIA检测防御的后续研究方向进行了展望。

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.

基于WebAssembly的跨平台SCADA系统设计与实现

设计和实现了一个数据采集与监视控制系统(SCADA),为现代工业自动化领域的SCADA系统提供一种创新的解决方案。传统SCADA系统存在安全性、响应速度慢、灵活性不足和集成困难等问题。为了解决这些问题,首先引入WebAssembly(Wasm)作为关键技术,以提供更高效、安全、可扩展的解决方案,通过将系统功能与用户界面转换为Wasm模块,实现一种能够在不同操作系统和设备上运行的SCADA系统。其次,利用WebSocket技术允许服务器和客户端之间的双向通信,以此来实现跨域通信和实时数据更新,保证数据的准确性。最后,采用QWidget设计图元控件,绘制、布局和事件处理来实现客户想要的样式和交互效果,方便客户进行快速二次开发。此外,为了验证设计的系统可行性,通过实际案例验证了所设计系统不但具有跨平台特性,而且用户可以通过标准的Web浏览器实时访问系统,无需受限于特定的操作系统或设备。客户还可以根据实际需求进行二次开发或者功能扩展,以及整合第三方设备和系统。

SCADA与DCS一体化监控技术分析

面对油气田、LNG接收站、城市燃气、储气库不断高质量的发展、管理理念的创新、管理水平的进步,着重从行业自动化水平的角度对企业进行了分析,提出自动化水平提升的关键点和技术路线。从上述四个子行业的发展需求出发,分析集中调控、远程操作、一体化监控的必要性和关键性。通过分析多行业常用的数据采集与监控系统(SCADA)与分散控制系统(DCS)特性,指出实现一体化监控面临的主要问题,确定SCADA对DCS一体化监控的技术线路。

智能生产制造车间SCADA系统设计与开发

工业4.0的到来使得智能生产制造得以大力发展,生产过程数据采集为智能制造的重要组成部分,其性能将直接影响产品生产管控、过程管理、历史追溯等核心环节的质量,因此需要一种可靠的SCADA(监测监控及数据采集)系统来实现关键数据的采集。目前数据采集过程面临着数据量大、实时性差等难题,针对这些问题,基于空气弹簧自动化产线场景,本文设计并开发了一套适用于空气弹簧智能生产制造的SCADA系统。首先根据功能需求,确定了系统总体架构;其次设计了SCADA系统的软件架构,给出了PLC(可编程逻辑控制器)与仪器仪表数据采集流程;最后完成了软件系统的开发与部署应用,并进行了性能测试分析。测试结果表明:本文所研究的SCADA系统性能稳定,数据采集实时性良好,满足空气弹簧智能生产制造车间的生产需求。