Real-Time Data and Visualization Monitoring of Computer Numerical Control Machine Tools Based on Hyper Text Markup Language 5

In order to ensure the safety,quality and efficiency of computer numerical control(CNC)machine tool processing,a real-time monitoring and visible solution for CNC machine tools based on hyper text markup language(HTML)5 is proposed.The characteristics of the real-time monitoring technology of CNC machine tools under the traditional Client/Server(C/S)structure are compared and analyzed,and the technical drawbacks are proposed.Web real-time communication technology and browser drawing technology are deeply studied.A real-time monitoring and visible system for CNC machine tool data is developed based on Metro platform,combining WebSocket real-time communication technology and Canvas drawing technology.The system architecture is given,and the functions and implementation methods of the system are described in detail.The practical application results show that the WebSocket real-time communication technology can effectively reduce the bandwidth and network delay and save server resources.The numerical control machine data monitoring system can intuitively reflect the machine data,and the visible effect is good.It realizes timely monitoring of equipment alarms and prompts maintenance and management personnel.

A Text Categorization System with Soft Real-Time Guarantee

In order to provide predictable runtime performante for text categorization （TC） systems, an innovative system design method is proposed for soft real time TC systems. An analyzable mathematical model is established to approximately describe the nonlinear and time-varying TC systems. According to this mathematical model, the feedback control theory is adopted to prove the system＇s stableness and zero steady state error. The experiments result shows that the error of deadline satisfied ratio in the system is kept within 4 of the desired value. And the number of classifiers can be dynamically adjusted by the system itself to save the computa tion resources. The proposed methodology enables the theo retical analysis and evaluation to the TC systems, leading to a high-quality and low cost implementation approach.

We’ve Got the Power: A Framework for Real-Time Network Power Monitoring

The energy consumption of the information and communication technology sector has become a significant portion of the total global energy consumption, warranting research efforts to attempt to reduce it. The pre-requisite for effectual energy management is the availability of the current power consumption values from network devices. Previous works have attempted to estimate and model the consumption values or have measured it using intrusive approaches such as using an in-line power meter. Recent trends suggest that information models are being increasingly used in all aspects of network management. This paper presents a framework developed for enabling the collection of real-time power consumption information from the next generation of networking hardware non-intrusively by employing information models. The experiment results indicate that it is feasible to gather power consumption data using standardized IETF information models, or non-standard customized information models, or through abstracting and exposing the information in a uniform format when no support for the required information models exists. Functional validation of the proposed framework is performed and the results from this research could be leveraged to make energy-efficient network management decisions.

Simple, Flexible, and Interoperable SCADA System Based on Agent Technology

SCADA (Supervisory Control and Data Acquisition) is concerned with gathering process information from industrial control processes found in utilities such as power grids, water networks, transportation, manufacturing, etc., to provide the human operators with the required real-time access to industrial processes to be monitored and controlled either locally (on-site)or remotely (i.e., through Internet). Conventional solutions such as custom SCADA packages, custom communication protocols, and centralized architectures are no longer appropriate for engineering this type of systems because of their highly distribution and their uncertain continuously changing working environments. Multi-agent systems (MAS) appeared as a new architectural style for engineering complex and highly dynamic applications such as SCADA systems. In this paper, we propose an approach for simply developing flexible and interoperable SCADA systems based on the integration of MAS and OPC process protocol. The proposed SCADA system has the following advantages: 1) simple (easier to be implemented);2) flexible (able to adapt to its environment dynamic changes);and 3) interoperable (relative to the underlying control systems, which belongs to diverse of vendors). The applicability of the proposed approach is demonstrated by a real case study example carried out in a paper mill.

合流制溢流污染的影响及其控制技术发展

合流制溢流即未经处理的雨污废水直接流入受纳水体,是造成受纳水体污染和城市内涝的主要来源。首先,对合流制溢流的污染特征及其影响因素进行了总结,简要梳理了源头控制、处理设施、调蓄设施、雨天合流雨污水处理最新技术及其控制效果,以及合流制溢流控制实时控制、监测和预测的智能控制方法。合流制溢流灰色和绿色基础设施都是必要的,随着监测、降水预报、城市水文和水力模型及实时控制技术的成熟,合流制溢流系统向实时控制和模型优化预测策略发展。

Real-time remote monitoring system for crop water requirement information

Rapidly acquiring and real-time transmitting crop water requirement information constitute the basis for achieving intelligent diagnosis and precision irrigation.In order to collect and transmit crop water requirement information at real time,a new microcontroller-based real-time remote monitoring system was designed,including system hardware design,software and anti-jamming design.The system achieved the functions including clock reading,information configuration,LCD display,keyboard control,data sending and receiving,multi-channel information acquisition,conversion and storage.Laboratory and field tests showed that the system can achieve data acquisition and real-time display of the crop water requirement information.Unlike the current weather station,the system collects crop water information,meteorological factors and soil parameters at the same time.It has a high level of stability and acquisition accuracy,and can meet the requirements for real-time remote monitoring of the crop water requirement information for irrigation decision-making.

基于Unity3D的油田抽油机三维可视化监控系统设计

针对抽油机监测形式单一、三维可视化程度低和联动性差的缺陷,引入信息―物理实时映射思想,开发了油田抽油机三维可视化监控系统。设计了抽油机数字空间,搭建虚实交互层设计架构;搭建三维可视化系统数据组成及关系框架;结合逆运动学,构建数学模型,基于五维模型和Unity 3D平台设计抽油机三维可视化系统总体架构;以游梁式抽油机为对象进行实验验证,实现了实时动态监测、虚实混合控制、运动轨迹追踪和在线预警等服务功能。为三维可视化监控在石油机械领域的落地应用和数字孪生系统的开发提供借鉴。

HL-2A装置相衬成像系统的安全连锁与远程监控

通过在相衬成像系统光路中引入电控安全快门控制激光输出,并使用延迟电路实现了安全快门与HL-2A放电运行的同步触发,保障了诊断系统的安全运行,安全快门时间响应为26ms,其抖动误差1ms;利用四象限传感器实现了激光束斑位置的实时监测,获得了HL-2A装置垂直和水平方向的振动数据。所发展的电控快门技术和激光实时监测系统不仅能够大幅提高相衬成像系统的安全性和可靠性,对于HL-2A/2M装置诊断系统的发展和完善也具有重要意义。

基于PD-NOMA的人员监控图像传输算法

危险区域人员监控具有摄像节点密度高、传输实时性和图像质量要求高的特点。功率域非正交多址接入(PD-NOMA)技术可以支持多路并行传输,有利于在密集传输场景下提升传输实时性,而多摄像节点协同有利于提高图像质量。在面向危险区域人员监控的PD-NOMA摄像网络中,提出通过多图融合的人员监控图像传输算法,以实现高质量监控。首先,定义了图像的“单人信息量”这一关键术语,它反映了图像中单个人员被准确识别的概率;其次,基于摄像节点之间的位置关系定义了多摄像节点拍摄到的单个人员的融合图像信息量;最后,在满足传输实时性要求以及图像中所有人员均可识别的前提下,以最大化融合图像信息量为目标,计算以摄像节点的图像分辨率和无线发射功率为控制变量的实时传输调度方案。实验结果表明,当实时传输上限为0.4 s时,基于PD-NOMA的传输调度方案传输信息量比传统传输方案提高了46.4%,使得图像中人员识别概率从0.8549提升至0.8919。

基于数字孪生的桥梁拆除施工安全控制技术

大型桥梁进行拆除重建过程中存在大量的安全问题,针对桥梁拆除施工安全控制问题,提出了基于数字孪生的桥梁拆除施工安全控制技术;综合应用物联网、BIM、WEBGL、5G通信、人工智能等技术,最终形成一个实时可视化的对桥梁拆除运输进行自动化控制的数字孪生系统,系统的应用验证了该技术的可行性以及实用性,保证了桥梁拆除施工的安全性,为桥梁拆除施工安全控制提供了一个新的方法。

基于船载测控雷达的关键信息实时监测软件设计与实现

在航天测控中,关键信息的实时监测十分重要,有利于岗位人员及时掌握设备状态,并针对异常情况做出应急处置。针对现阶段海上测控任务中岗位人员设备监视状态多、监视压力大的问题,基于Qt开发了一款关键信息实时监测软件,软件从航天业务网中提取出关键信息,采用数据、图表等形式将所需信息进行显示,对异常的数据进行语音提醒,以辅助岗位人员实时监测。

充填钻孔轨迹控制与套损实时监控技术研究

充填钻孔作为矿山尾砂充填系统的核心通道,一旦发生堵塞,恢复难度大、成本高。因此,如何延长充填孔使用寿命已成为制约矿山尾砂治理、推动绿色矿山建设的重要挑战。钻孔偏斜率是影响充填孔套管寿命的最关键因素。因此,开展了小顶角高垂直度孔轨迹随钻监控与微拐点导向技术研究,同时研发了基于光纤光栅应变传感器的套管损坏实时监测系统,为提高充填孔成孔效率与质量,实现孔内套管损前预警与治理,延长充填孔寿命提供了有益参考和借鉴。

基于轻量化与多信息融合的输送带块煤实时监测方法

煤炭在国家工业体系和社会发展中有着举足轻重的作用,针对煤炭运输过程中的块煤监测问题,提出一种基于轻量化和多信息融合(lightweightandmulti-informationfusion,LM)的实时监测方法——LMYOLOv5。首先,利用自适应直方图均衡化进行数据预处理;其次,引入Ghost轻量化卷积,减少计算量和特征提取的冗余性;最后,结合协同注意力(coordinate attention, CA)机制改善特征提取的倾向性,引入双向特征金字塔网络(bidirectional feature pyramid network, Bi FPN)机制实现跨阶段的信息融合。实验结果表明,改进后的LMYOLOv5算法有明显优势。参数量和浮点计算量分别减少约62.28%和67.66%。模型训练时长减少约21.78%,模型体积也从92.7 M压缩至35.1 M。此外,精确度和召回率分别提升约0.103%和1.395%,实时监测速度提升约38.05%。

基于虚拟现实的船用甲板机器人工作状态智能监测系统

船舶甲板机器人可帮助船舶高效率除锈,并降低船员工作强度,减少安全事故发生。传统的船舶机器人监控系统只能查看机器人的所有工作状态参数,无法形象地展示机器人工作状态。本文在对虚拟现实技术充分研究的基础上,设计甲板机器人状态监测系统,并设计系统传感信息采集的硬件结构。构建基于虚拟现实技术的机器人工作状态智能监控系统,对系统中的碰撞检测技术以及虚拟交互实现方法进行分析。通过将机器人的状态实时反馈到虚拟场景中,有效实现操作者和机器人之间的实时交互,实现在线操控监测和离线教学的功能。

结合ECC算法的电力监控网络智能接入协议

为了进一步降低电力监控网络遭受攻击的风险,基于ECC公钥加密算法,提出了具有较高安全性能的智能接入协议。通过研究电力监控网络的基本架构和安全体系,总结了电力监控终端所面临的多种攻击方式。并在此基础上,利用ECC公钥加密算法,深度改进适用于电力监控网络的智能接入协议,进而优化协议的加密耗时、解密耗时及安全强度等多项参数。仿真结果表明,与基于RSA算法的协议相比,基于ECC算法的智能接入协议具备更高的安全强度。

基于ControlNet网络的变频器参数实时监控

ControlNet是一种先进的实时控制网络平台。在ControlNet网络上，选择数据健数据结构或报文数据结构，可对变频器的参数进行高实时性或一般要求的实时监控。

智能控制系统在暖通建设工程中的实时监测与优化研究

探讨智能控制系统在暖通建设工程中的实时监测与优化应用。通过综合运用传感器技术、数据采集与处理方法以及优化控制算法与策略,实现对暖通系统运行状态的实时监测和优化调控,提高系统运行效率、降低能源消耗,并为暖通建设工程的智能化发展提供技术支持。基于此,有效地改善了暖通系统的运行效率与稳定性,为智能化暖通建设提供了可行性方案和技术支持。

下穿省道高速公路隧道施工变形与控制分析

文中利用数值模拟方法分析高速公路隧道开挖对省道基底的变形影响,提出了省道基底变形的控制措施,并实时监测隧道开挖过程中隧道围护结构及省道的变形。结果表明,当开挖进尺超过30 m后,路基变形控制降幅达50%;无论有无支护结构,隧道开挖都会对省道基底变形产生影响;采用洞口边仰坡稳定控制以及洞内隧道开挖变形控制技术对隧道开挖进行加固处理,施工后,所有断面的变形值均趋于稳定,且未超过设计方案预警值,即采用的变形控制技术施工效果良好,施工质量安全可靠。

CTCS3-300H型列控车载设备状态在线监测与智能分析系统开发与应用

针对CTCS3-300H型列控车载设备(简称:列控车载设备)各单元运行日志数据分散存储、数据转储下载接口多、数据分析工作繁琐耗时的问题,根据列控车载设备结构特点,设计了列控车载设备状态在线监测及智能分析系统。该系统统一了列控车载设备各单元的日志数据采集与传输接口,借助既有的车地无线传输通道,设计了灵活、务实的车地数据传输方案,实现了用于列控车载设备状态在线监测的事件通告报文的实时传输,提供故障日志自动下载、手动按需下载两种日志数据无线下载方式,在满足列控车载设备状态在线监测和故障分析需要的前提下,最大限度地减少车地数据传输量。通过有效利用列控车载设备日志数据进行智能分析,能够快速、准确定位故障原因,实现故障自动报警并给出处置建议,提高了列控车载设备故障应急处置和维护效率,为动车组安全运行提供强有力的技术保障。