A hierarchical architecture of centralized monitoring and controlling system and its high-performance and interoperability protocol

This paper describes a hierarchical architecture and a high-performance and interoperability protocol for centralized monitoring and controlling systems (CMCS) . The protocol we proposed can interoperate different monitoring and controlling systems constructed by different companies, each with different functions and communication protocols. The protocol reduces the amount of traffic and has real-time and high-perfor-mance advantages. The protocol was implemented in CMCS for telecommunication power supply and air-condi-tioner used by the Telecommunication Bureau of Zhejiang Province. This paper deals with the hierarchical architecture and function of CMCS and packet format, command ID, and SDL description of its protocol. We also discuss the properties of the interoperability and performance of the protocol in this paper.

Event management architecture for the monitoring and diagnosis of a fleet of trains: a case study

In recent years, more and more manufacturers and operators of fleets of mobile systems have been focusing their efforts on studying and developing condi-tional maintenance, monitoring, and diagnostic strategies to cope with an increasingly competitive, unstable, costly, and unpredictable environment. This paper proposes a case study concerning the application of a novel event management architecture, called EMH^2, to a fleet of trains. This EMH^2 architecture, which applies the holonic paradigm, aims to facilitate the monitoring and diagnosis of a fleet of mobile systems. It is based on a recursive decomposition of cooperative monitoring holons. The definition of a generic event modeling, called SurfEvent, is the second key element of the contribution. EMH^2 has been designed to be applicable to any kind of system or equipment up to fleet level. The edge computing paradigm has been adopted for implementation purpose. The EMH^2 architecture is designed to facilitate asynchronous and progressive onboard and off-board deployments. A real-world application of EMH^2 to a fleet of ten trains cur-rently in use, in collaboration with our industrial partner, Bombardier Transport, is presented. Three key perfor-mances indicators have been estimated by comparing EMH^2 with the current industrial situation. These indi-cators are (1) the number of fleet maintenance visits,(2) the time needed by a maintenance operator to investigate and diagnose, and (3) the time needed by the system to update data regarding the health status and monitoring of trains. Results obtained outperformed industrial expecta-tions. The paper finally discusses feedbacks from experi-ence and limitations of the work.

A Smart Home Energy Monitoring System Based on Internet of Things and Inter Planetary File System for Secure Data Sharing

Energy demand will continue to rise as a result of predicted population growth. In this work, a user-friendly home energy monitoring system based on IoT is described, which is capable of collecting, analyzing, and displaying data. Users register their sensors and devices on the monitoring platform. PostgreSQL and Elasticsearch databases are used to store the resulting measurements. In a smart home, the wireless sensor ACS712 was used to monitor the flow of electricity (current and voltage) for a household device. The user can share data about electricity consumption and costs with a third party via the private IPFS (InterPlanetary File System) network. A third party can download all the energy consumption data for a device or many devices from the platform for 1 day, 3 months, 6 months, and 1 year. The studies on the development of energy-efficient technology for home devices benefit greatly from the gathered data. For security in the system, it is preferred to run Keyrock Idm, Wilma Pep Proxy, and Orion Context Broker in HTTPS mode, and MQTTS is used to retrieve sensor data. The experimental results showed that the energy monitoring system accurately records voltage, current, active power, and the total amount of power used and offers low-cost solutions to the users using household devices in a day.

Accelerator network monitoring system based on microservices architecture

Purpose The BEPCII(Upgrade project of Beijing Electron Positron Collider)is a high-performance accelerator,composed of a vast array of front-end devices.When the accelerator is operational,high-speed,real-time data communication,and information exchange are necessary among its various subsystems.The network system of BEPCII is a critical infrastructure that ensures the normal operation and data transmission of the accelerator.Switches,as the core devices for constructing the accelerator’s control network and realizing data transmission and communication,play a vital role in the reliability and stability of the accelerator’s functioning.This study aims to design an accelerator network monitoring system based on a microservice architecture to monitor the data information of network devices such as switches.Methods and Results Remote management of switch configurations and monitoring of switch port statuses are implemented via the simple network management protocol.The working status data of the switches obtained are saved to a MySQL database to facilitate statistical queries and data analysis when called upon.Utilizing the Nameko microservice framework,different services such as storage,querying,and analysis are managed and invoked separately to prevent process waiting due to excessive data volumes or too many services being called simultaneously.Additionally,a variety of functional web front-end interfaces has been designed based on the Flask framework to improve human–machine interaction.By testing two switches,the system achieved monitoring of the switches’CPU usage,temperature,port status,and port traffic.Storage and querying of historical data were also enabled through the database,making data analysis more accessible.This study has fulfilled the monitoring and management requirements for the control network’s switch information through testing.The system will subsequently be deployed in the control network system of BEPCII.

Integration Between Enterprise Process Monitoring and Controlling System and Enterprise Application

The relationships and the features of integration between Enterprise ProcessMonitoring and Controlling System (EPMCS) and Enterprise Process Related Applications (EPRA) wereanalyzed. An integration architecture centered on EPMCS was presented, in which there were fourlayers to connect from EPMCS to EPRA: EPMCS, application integration layer, transport layer andEPRA, and there were four layers used to etstablish integration: presentation layer, function layer,data layer and system layer. The frameworks to connect EPMCS and EPRA were designed, thatEnterprise-Independent Model (EIM), Enterprise-Specific Model (ESM) and meta-model to describe thesetwo models were defined. The method to integrate data based on XML was designed to exchange datafrom EPMCS to EPRA according to the mapping between EIM and ESM. The approches are suitable forintegrating EPMCS and systems in Product Data Management (PDM), project management and enterprisebusiness management.

Implementation Method of Non-Intrusive Monitoring Mechanism for Web Services Testing

In web services testing, accessing the interactive contents of measured Services and the information of service condition accurately are the key issues of system design and realization. A non-intrusive solution based on axis2 is presented to overcome the difficulty of the information retrieval in web service testing. It can be plugged in server side or client side freely to test pre-deployed or deployed web services. Moreover, it provides a monitoring interface and the corresponding subscription publication mechanism for users based on web services to support the quality assurance grounded on service-oriented architecture （SOA） application service.

An Overview of Seismic Risk Management for Italian Architectural Heritage

The frequent occurrence of seismic events in Italy poses a strategic problem that involves either the culture of preservation of historical heritage or the civil protection action aimed to reduce the risk to people and goods(buildings,bridges,dams,slopes,etc.).Most of the Italian architectural heritage is vulnerable to earthquakes,identifying the vulnerability as the inherent predisposition of the masonry building to suffer damage and collapse during an earthquake.In fact,the structural concept prevailing in these ancient masonry buildings is aimed at ensuring prevalent resistance to vertical gravity loads.Rarely do these ancient masonry structures offer relevant resistance to actions other than vertical ones and then they are intrinsically vulnerable to stresses induced by the earthquakes.One of the main technical activities carried out by the Civil Protection after an earthquake is to assess the damage in the buildings and to evaluate their own usability.Regarding historical buildings,ad-hoc synthetic forms,drafted in agreement between the Italian Civil Protection Department and the Ministry of Cultural Heritage and Activities and Tourism and based on visual inspection,are adopted by qualified technicians.In this paper,such activities are described and discussed along with the Italian Civil Protection System.However,given the complexity of the main technical activities to be performed after an earthquake there is a need for more accurate methods based on Structural Health Monitoring.

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。

无人船载监控系统的设计与开发

为了满足无人船实时通信和远程操控需要,综合利用计算机、传感器及无线通信等技术,设计一种无人船载监控系统,实现了对无人船的实时监测、控制与实时通信。设计一种双驱动独立控制方案,实现了无人船遥控器控制与计算机控制的相互分离,可提高无人船运行操控的安全性与可靠性。提出采用插件式软件架构,将易变动的功能模块以插件的方式动态加载至系统框架中,加快了开发速度,降低了系统的耦合程度,提高了系统的可扩展性,并利用插件动态加载与卸载方法,实现了插件功能的动态加载与在线升级,提高了系统应对任务多样化的能力。

地月空间基础设施体系架构与发展设想

建设地月空间基础设施,为人类在地月空间的活动提供基础性、通用性的通信、导航、监测等服务,既可满足中国后续月球探测国家重大工程任务需求,同时可以加速推进地月空间航天产业发展,对于推动中国科技强国、航天强国建设具有重大的战略意义。在阐明地月空间基础设施概念、分析研判国内外发展现状的基础上,紧密围绕重大工程和航天产业持续性发展需求,提出地月空间基础设施体系架构设想,明确系统服务、系统组成、“云-域-端”网络体系以及内部和用户接口体系。最后以分阶段逐步建成技术先进、布局合理的地月空间基础设施,提供自主开放、安全可靠、长期连续稳定运行的通用化服务为目标,提出发展展望和发展建议,为中国地月空间基础设施发展建设规划提供参考。

基于数字孪生的数据中心机房设备耗电可视化监控系统设计

为提升数据中心机房设备耗电监控效果及可视化监控系统的实时性,提出基于数字孪生的数据中心机房设备耗电可视化监控系统设计。首先,在数字孪生技术的基础上完成系统架构及功能的设计;其次,构建源数据矩阵,计算矩阵的欧氏距离,并通过K-means聚类算法实现设备耗电的聚类处理;最后,利用数字孪生技术将映射真实物理车间到虚拟车间,引入孪生实体概念表达机房部件,融合数据中心机房设备故障数据,构建网络神经模型训练样本数据,生成新的故障诊断模型,实现基于数字孪生的数据中心机房设备耗电可视化监控。结果表明,所提方法的数据中心机房设备耗电监控系统的可视化效果好、设备耗电监控结果好,可为数据管理提供可靠的技术支撑。

嵌入式机房多功能模块智能监控系统设计

为充分提高大型机房智能化运维能力,及时排除各种异常情况,实现高精度、低功耗的系统设计目标;提出基于嵌入式的机房多功能模块智能监控系统设计方法;设计针对机房空间的传感信号采集层、数据传输层、后台监控层的多层系统架构;硬件结构设计了用户登录模块、传感器运行模块、数据记录模块和监控显示模块,4个功能模块在多层架构下工作;软件部分通过数据传输程序连接终端设备与云计算中心,利用数据处理程序完成功能模块参数设置,完成嵌入式机房运行数据自动监控,针对系统的功耗问题,设计了微结构级功耗模型,降低系统功耗;实验结果表明:所设计系统容错率在80%以上,数据采集精度高,当浓度超过100 ppm时,自动对烟雾超标情况启动报警装置;可以实时响应接入设备,及时获取预警信息,功耗低,平均响应时间均在2.8 s以下,实现嵌入式机房自动智能监控。

基于AUTOSAR自适应平台的监控与容错方案研究

为了解决面向服务的AUTOSAR自适应平台(AP)缺乏有效监控与容错机制的问题,并确保软件系统在故障情况下的高度稳定性和安全性,以汽车基础软件平台AP为研究对象,通过自动代客泊车(AVP)软件系统设计了一套完备的监控与故障容错机制,通过分析传统软件架构与其他面向服务架构的监控方案和AP的特性,设计了AP的监控方案,实现对平台基础设施(处理器、网络、内存)和服务状态(响应时间)的监控;基于Qt开发的数据显示模块通过LT协议实现实时采集与显示监控数据;提出了一种支持SOME/IP协议的服务调用链追踪方法,实现对面向服务架构中复杂服务调用关系的分析。结果表明该方案能够在AVP软件系统中监控和分析服务故障,并在发生故障时采取容错机制,提升系统可靠性。

网络多媒体传输协议在物联网音频监控系统中的应用

介绍网络多媒体传输协议的基本原理,探讨其在音频监控中的应用,包括音频数据捕获、编码、传输、接收及解码等环节。基于此,设计一个基于网络多媒体传输协议的物联网音频监控系统架构,并对其功能进行设计。最后进行系统运行测试,验证该架构的可行性和有效性。

基于分布式架构的显控技术研究与实现

针对显控终端日益增长的功能、性能需求和国产化应用要求,开展了显控终端架构研究,并提出一种分布式显控架构设计,该架构以计算处理单元为核心,其它硬件模块作为协处理单元,有效整合各个协处理单元的能力,实现复杂的计算处理功能;结合分布式处理架构,采用基于微服务的综合显控软件架构,承载各模块的任务分配、指令分发、数据收集、功能集成,实现显控终端的语多点触控、语音处理、人脸认证、健康监测等应用;相比传统的集中式设计,分布式显控架构解决了多任务频繁切换效率低、通信瓶颈、网络难扩展等问题,具有高性能、高可靠、可扩展等特点;该技术得到充分应用与验证;验证结果表明该分布式架构显控终端可以满足功能需求,可以有效提升终端设备的整体性能。

基于物联网远程监控的太阳能定向跟踪系统设计

设计了一种基于物联网远程监控的太阳能定向跟踪系统,分别对太阳能定向跟踪系统本体和远程监控系统进行了设计与开发,采用离线和实时控制两种方式,通过监控数据计算当前的太阳高度角和方位角,调整光伏板的倾角,从而提高太阳能光伏板的发电率。对该装置设备层的太阳能定向跟踪系统本体采用框架式结构设计,并通过模糊PID算法对跟踪装置电机进行调控;对应用层的远程监控系统采用B/S架构设计,使用MQTT协议与云平台进行数据交互,用户可直接通过浏览器访问监控系统,实现太阳能定向跟踪系统的远程状态检测、实时控制、数据管理等功能。经测试,用户能通过该监控系统控制和监控太阳能定向跟踪系统的运行,满足太阳能定向跟踪系统远程监控的要求,系统具有较高的实用性。

矿井机车运输智能监控平台设计与应用

目前,煤矿现有的车辆调度系统仅具有一些状态信息的展示和发布、静态视频监控和固定逻辑的红绿灯控制等常规功能,车辆缺乏统一的调配和利用,综合运输效率低,为提升井下轨道机车运输监控系统的智能化水平,构建了基于物联信息技术的矿井机车运输智能监控平台。该平台采用C/S架构;设计实时数据交互接口,实时获取和分析煤矿现有系统采集的数据;采用GIS控件进行地图设计,实时反映井下环境变化情况;设计综合报警功能;运用MEF技术设计交互组件;构建形成矿井机车运输智能监控平台。该平台在开滦集团吕家坨矿进行应用,应用效果表明,该平台能够实现井下运输信号精准控制与调度,提高矿井机车的整体运输效率,保障人员和设备的安全。

软件定义云边协同架构下的水下监测新机制

传统基于硬件的水声传感器网络(underwater acoustic sensor networks,UASNs)架构灵活性及可控性较差,难以满足水下多样化监测任务的需求。针对此问题,提出基于边缘计算的水下软件定义监测网络架构,并提出一种多级协同水下监测机制。该架构通过主从控制器将集中式云处理任务部署至边缘端,并对网络进行分级控制。该机制首先通过低轨遥感卫星进行大范围海洋监测,其次进行小范围监测,数据经原位处理及边缘处理后上传至水面进行分析,最后进行水下联合监测。仿真结果表明,所提出的监测架构和监测机制可降低异常数据处理时间成本和网络开销,在不同场景下的端到端延迟、网络能耗和包投递率方面都有良好的表现,提高了监测架构的灵活性。