Design and implementation of a visual monitoring system to ensure safety in the water surrounding a container vessel

Container vessels navigate among the world＇s ports, frequently passing through narrow and congested waters. Due to the many layers of containers on a container vessel＇s decks, it is difficult for the crew to be aware of all fishing vessels and other obstacles in a container vessel＇s radar observation blind zone. This greatly increases the risk of collisions and other accidents. Given such great challenges to safe navigation and safety management with container vessels, their security risks are severe. An effective visual monitoring system can improve the safety of the water area surrounding container vessel by eliminating a vessel＇s observation blind zone, providing an effective safety measure for vessels navigating fishing zones and other troublesome areas. The system has other functions, such as accident recording, ship security, and monitoring of loading and unloading operations, thus ensuring the ship operates safely. Six months＇ trial operation showed that the system facilitates safe navigation of container vessels.

Colorimetric indicator based on zwitterionic anti-freezing hydrogel and alizarin for visual monitoring of salmon fillets freshness

Indicating hydrogels have shown the advantages of being fast, sensitive, and real-time in demonstrating the freshness of aquatic products due to their noticeable color change. In this work, an anti-freezing hydrogel embedded with pH-sensitive alizarin was developed as an original colorimetric indicator for monitoring the corruption of aquatic products at low temperatures. The anti-freezing hydrogel was prepared from 2-carboxyethyl acrylate, [2-(methacryloyloxy)ethyl]-trimethylammonium chloride, and 2-hydroxyethyl methacrylate monomers with triethylene glycol dimethacrylate as cross-linking agent. The hydrogel showed excellent anti-freezing capability, which was further incorporated with the pH-sensitive dye alizarin to gain the indicating capability. When applied in the indication of the freshness of salmon under low-temperature storage, it was found that the color changes of the indicator corresponded with the total volatile basic nitrogen contents of salmon, the correlation coefficient of which was 0.959 6. These results indicated the application potential of the hydrogels as freshness indicators during low-temperature storage or cold-chain transportation.

Research on Dynamic Monitoring Algorithm of Visual Safety Distance in Highway

To develop the dynamic monitoring algorithm of visual safety distance in highway, by using the highway video traffic monitoring system, the research platform of four kinds of terrain environment in plateau, mountainous area, plain and coastal area is established. Results show that through the contrast between the sample data and visibility train of thought, based on the theory of mathematical morphology, expressway visibility dynamic monitoring image information system can be established. Based on the theory of the measurement of the basic formula of visibility, the dynamic model of the optimization is established, set up 200 meters distance visual observation target system, research visual range detection algorithm process.

A New Method for Visual Real-Time Monitoring of Low Frequency Oscillation

Visual real-time monitoring is the premise of low frequency oscillation control in power grids. This paper showed a visual method for the control center of power grids to monitor low frequency oscillation. It processed the PMU real-time data with incomplete S-transform, and converted the waveforms to two-dimensional time-frequency figures which showed the initial time, frequency and amplitude of each low frequency oscillation mode directly. GPU was used to show figures and calculate FFT with the purpose of improving calculation efficiency. The results of practical cases show that the real-time characters of low frequency oscillation can be identified availably by this visualization real-time monitoring method which is helpful and suitable for practical application.

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.

Monitoring Information 3D Visualization for Super-Filling Loess Project

The construction of high-filled loess project has some engineering and technical challenges, such as excavation of earth and backfilling of earth are both large, complex construction environment, variety of influence factors. According to this situation, this paper presents a dynamic 3D visualization method for high-filled project based on volume rendering. Through comparative analysis and visual analysis, realized at different times of the Loess fill internal detection data visualization and analysis presented. The results show that this visualization method can directly and accurately display the construction process, help decision makers master construction information and process.

面向流程制造的数字孪生车间可视化监控系统研究

为了解决流程制造过程监控实时性差、准确性不足的问题,在数字孪生技术迅速发展且与制造业结合愈发紧密的背景下,提出基于生产要素数据、生产工艺流程与多工序设备实体对象的数字孪生车间可视化监控系统架构。从要素、状态、运行逻辑等多个维度对多工序耦合生产线实体对象进行孪生建模,基于OPC UA统一架构的数据采集传输,虚拟车间的实时驱动等关键技术,实现了流程制造设备状态、生产要素工艺全流程三维可视化监控。基于某流程制造企业制丝生产试验线开展了应用验证,为提升流程制造过程中全生产要素的预见性、联动性、自治性提供了方法和实现途径。

基于数字孪生的工业机器人建模及监测方法

针对工业机器人数据不透明、监测存在死角等问题,通过对实体工业机器人分析和研究,构建数字孪生机器人监测系统。首先从几何、物理、逻辑3个维度完成虚拟机器人的建模;其次基于开放平台通信联合架构(open platform communications united architecture,OPC UA),实现机器人的数据采集和通信,设计用户显示界面,达到数据实时可视化的效果;最后,通过机器人仿真实验得出机器人末端执行器X、Y、Z坐标的相对位置误差分别为0.48%、0.32%、0.27%,通过数字孪生机器人监测同步实验验证机器人关节角度误差最大值为0.31°。实验结果表明:该方法能够实现数字孪生工业机器人的运动数据监测,减少工业机器人在生产过程中发生意外和故障的风险,为智能工业机器人的发展提供思路和方向。

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.

基于计算机视觉的电力作业人员行为分析研究现状与展望

电力作业人员的有效监管是保障电力安全生产的基础。该文对电力视频中作业人员的行为识别研究进行了归类总结,涵盖静态行为分析(穿戴分析、动作分析和组合分析)和动态行为分析(复杂动作、时序行为和行为预测等);详细综述了电力作业行为分析中的核心算法模块,包括目标检测、姿态估计和视频跟踪等;论述了电力作业行为识别在算法高效性、鲁棒性、灵活性等方面所面临的应用难点和挑战,并展望了电力作业行为智能监控领域的未来发展方向,特别强调了在软硬件结合、通用大模型、生成式人工智能方面进行技术创新和改进所蕴含的潜在机会。

基于无人机及YOLOX视觉算法的大跨度钢结构吊装过程位移监测

在大跨度钢结构吊装施工过程中,节点位移及结构变形关系到吊装施工的安全和质量。对于传统接触式监测方法存在的耗时、耗力且维护费用高等问题,提出了一种以无人机为载体的非接触式监测方式。首先,针对大跨度钢结构吊装过程中无人机近距采集视角受限的问题,采用Harris图像拼接算法进行全景拼接,并与图像加权融合相结合,消除图像拼接中产生的不利光标及拼接缝,实现整体、高精度的大跨度结构图像的无缝拼接;其次,采用加入卷积块注意力机制(convolutional block attention module, CBAM)的YOLOX视觉算法解决复杂背景下不同像素面积的小目标图像识别、坐标提取和位移监测;最后,对四种不同检测模型进行对比评估,并通过对比实验室不同工况试验和实际工程验证该方法在施工环境下对大跨度钢结构测点位移监测的可行性。试验结果表明,加入CBAM注意力机制的YOLOX检测模型的平均精度及置信度均优于其他三种网络模型,且视觉识别的位移信息与Leica全站仪的误差均在亚毫米级内,满足实际工程精度的要求,实现了复杂背景下的小目标位移监测,具备较高的经济效益和广泛的应用前景。

基于BIM的铁路客站三维可视化电力监控系统研究

运用BIM、Web3D、数字孪生、物联网、组态软件、边缘计算、云平台、手机通讯、环境监测等技术,实现铁路客站电力监控系统的三维可视化运维管理与移动运维管理,提升管理效率和用电安全水平。结果可供同类项目参考。

夜景照明亮度比例视觉适宜性评价仿真研究

夜景照明设备的整体亮度跨度较小,且存在很多限高区域,导致环境中整体亮度较差,为了提高夜景照明亮度与人眼视觉的适宜性,提出了夜景照明亮度比例视觉适宜性评价方法。通过夜景照明观测建模数据的标准化处理,采集夜景照明的亮度信息,利用二维数据矩阵分解所得信息,确定夜景照明的环境因素,利用亮度监测模型,计算亮度数据的统计量,完成夜景照明亮度的监测。根据视觉感知的亮度与照明设备亮度之间的关系,计算出光照强度对比度,将驱动电源安装到夜景照明设备中,调节夜景照明亮度比例。将人眼视觉范围划分成多个区域,计算出视觉适宜度判定准则,依据人眼视觉可以承受的亮度与照明亮度的映射关系,定义夜景照明亮度的空间函数,通过夜景照明亮度通道适宜度叠加,实现夜景照明亮度比例视觉适宜性评价。实验结果表明,上述方法适用于夜景照明亮度比例视觉适宜性评价,可以提高评价结果准确性。

基于GIS与大数据分析的矿压监测预警平台

为响应国家关于加快煤矿智能化发展的号召,针对煤矿GIS“一张图”中巷道路径不能实现精确计算,矿压数据不能实现高效甄别、有效提取的问题,以及矿压预警需要实现在线推演、可视化展示的需求,提出建立基于GIS与大数据分析的矿压监测预警平台。采用GIS“一张图”、巷道结点-路径拓扑算法、多源异构监测数据处理技术、矿压大数据分析技术,搭建成能够实现矿井下复杂情况切实反映、矿压监测数据有效提取、采掘风险在线预测、可视化程度高的矿压监测预警平台。通过在李雅庄矿的实际应用,表明该系统运行稳定可靠,可有效提升煤矿的矿压风险监测预警。

电致变色型智能可视化湿度系统

近年来,湿度传感器在食品安全、土壤监测等领域的应用引起了广泛关注。传统湿度传感器具有稳定性好、灵敏度高等优点,但大部分湿度传感系统通常采用有线连接和外接庞大设备来将湿度信号转换为可识别的波形,无法对湿度信息的变化进行实时的可视化监测。将湿度信息直接转换为肉眼可观测的颜色信号为上述问题提供了一种理想解决方案。本研究将湿度传感器与电致变色器件集成一体来制备智能可视化湿度指示系统,通过将湿度信号转换为电压信号来驱动电致变色器件(Electrochromic devices,ECDs),从而实现系统稳定可逆的颜色变化。采用三氧化钨(WO3)作为负极、锌箔(Zn)作为正极制备的ECDs会根据湿度传感器的输出电压的变化来转变不同的工作状态,从而产生肉眼可观测的颜色信号。采用紫外-可见分光光度计与电化学工作站对ECDs的电化学性能以及电致变色性能进行研究和表征。随后,通过示波器和湿度发生平台对调理电路性能进行分析。结果表明:智能电致变色型湿度指示器具有良好的稳定性和快速的响应性能,其中,着色时间与褪色时间仅为7.5和4.5 s,并且在300个循环后,光学调制幅度(ΔT)与初始值相比基本保持不变(保持率可达95%以上)。因此,这种设计新颖、结构简单的可视化湿度系统在人工智能、智能农业等领域具有广阔的应用前景。

数字孪生驱动的水工闸门损伤在线识别与监测方法

针对水工闸门损伤识别过程中存在的识别流程复杂、实时性较差、可视化程度低的问题,提出一种数字孪生驱动的水工闸门损伤在线识别与监测方法。首先阐述闸门孪生数据的获取方法,并采用融合注意力模块的卷积神经网络对其进行特征提取,构建实时数据驱动的闸门损伤识别模型;然后利用数字孪生技术搭建水工闸门虚拟现实场景,并将损伤识别结果映射至闸门虚拟几何模型,实现闸门损伤的实时可视化监测;最后将该方法应用于水工闸门试验平台,并借助Unity3D平台实现闸门数字孪生损伤识别系统的开发。结果表明,构建的水工闸门损伤识别模型对损伤状态的识别准确率达到了95%以上,系统运行每帧平均用时为136.68 ms,具有较高的准确性和较快的分析速度,验证了该方法在水工闸门损伤识别中的可行性.

大型飞机结构强度试验姿态转换与控制

针对以往大型飞机姿态转换过程存在潜在的胶布带脱落、局部失稳以及多种提升设备不协调等风险问题,提出一种大型飞机结构强度试验姿态转换与控制方法。通过设计位移提升装置和全浮动支持平台,确保飞机姿态转换系统安全可靠;应用协调加载控制系统,提出多点协调的位移提升控制方案,实现飞机姿态平稳转换和精准控制;研究飞机姿态实时测量算法,开发可视化监控系统,实现飞机姿态多维变量实时监控。通过全要素测试,验证了所提方法的合理性。试验结果表明:某大型飞机的姿态转换过程实现了多维度可视化监控,与传统方法相比,效率提升了约35%,可靠性及安全性大幅提升。

基于数字孪生驱动的机器人运动仿真与状态虚实同步映射研究

研究在机器人系统中创新性地引入了基于数字孪生的建模方法,以推动机器人实时仿真和监测水平的提升。在Unity3D平台上,通过构建物理实体的虚拟孪生体模型并建立通信连接,实现了数据和状态的同步更新,从而精准地实现了数字孪生的虚实映射。之后,构建了虚拟场景和运动仿真模型,并通过实验验证,证明了该系统的高效性和准确性。研究呈现了一个实现机器人运动仿真和状态虚实同步技术的数字孪生系统,展示了数字孪生在机器人领域的前景和应用价值。该系统有望优化机器人作业,提升加工品质,并提高工作人员操作的安全性水平。

多功能旋转靶装置研究

针对D-D中子发生器采用静态水冷靶时中子产额不稳定、中子产额持续下降等主要问题,研制了一套多功能紧凑型旋转靶装置。装置采用一体化设计,结构紧凑、尺寸小,具备靶体高速旋转和水冷、靶点可视化监测、靶面温度实时测量、中子产额实时监测等功能。本文介绍了该装置的主体结构、功能设计和性能测试,以及靶结构对中子散射影响的模拟计算。性能测试结果表明,该装置真空度满足加速器运行要求,相比静态水冷靶,束流靶点中心最高温度明显降低,中子产额稳定度明显提高。模拟计算结果显示中子能谱峰展宽范围为0~0.0577 MeV,散射中子占比为10.53%~26.75%。本文还针对模拟计算结果和测量结果中存在的问题进行了分析,提出了改进和优化方案。

基于Visual Studio平台的大坝安全监测系统构建与实现方法

针对大坝监测中监测项目多、监测仪器空间分布广及需要对海量监测数据作出实时处理与分析等问题,基于Visual Studio平台环境,开发了具有三维地理信息和监测点监测信息的大坝安全监测系统,应用ArcGIS技术和C#语言实现大坝相关地理信息和监测信息的可视化管理,并与监测数据建立有机联系,开发嵌入监测数据分析建模功能。案例证明,所建大坝安全监测系统具有良好的数据管理、监测数据分析和可视化显示等功能,内含的灰色建模功能便捷有效地实现了监测数据的分析预测。