基于智能电厂的机组煤耗实时正平衡测量

一、智能煤场建设对燃料管理的意义随着"中国制造2025"战略的推进,智能制造成为越来越多电厂的升级方向。在智能电厂的研究和建设过程中,以更安全、更经济、更洁净、更灵活为目标,集成感知、控制、信息和人工智能等技术在发电生产场景高度融合应用。     

智慧电厂与智能发电研究方向及关键技术

智慧电厂的建设是以智能发电为基础,为了建立起具有现代化的能源电力系统,可以实现安全、绿色、高效、低碳的发电,其中包括信息化技术、智能化技术、大数据、可视化技术以及智能控制技术。智慧电厂能够进行信息采集、分析和判断,并且规划自己的行为,实现智能、在线、动态的优化配置设备以及参数。该文主要分析智慧电厂与智能发电的研究方向,并探究其中的关键技术,为我国电厂的发展提供参考。     

10kV／380V配电所智能配电一体化系统

10kV／380V配电所智能配电一体化系统采用了先进的计算机技术、微电子技术、网络技术,集测量、控制、保护、通讯于一体,将配电所有层次的分为了间隔层、通讯管理层、监控管理层,分别实现现场数据采集与控制、信息传输和后台管理功能,取代了传统10kV／380V配电模式。     

基于B/S模式的EMS系统在企业节能工作中的应用

本文以燕京啤酒集团顺义生产厂为例,详细叙述了企业能源管理信息系统的结构设计、功能和运行方式等,该系统基于B/S模型和实时数据库技术构建,管理人员通过浏览器就可看到生产现场的实时数据,解决了啤酒生产企业管理层过去无法实时了解生产现场状况,及时对能源生产和计划作出合理安排与调整的问题。同时,该企业能源管理信息系统(EMS)所建立的企业信息平台,能满足未来MES(制造执行系统)、ERP(企业资源计划)等信息管理系统对生产现场信息数据的要求,为企业实现生产管理信息化起到示范     

油气生产物联网感知层技术浅析

本文对油气生产物联网感知层的技术功能需求进行了分析,构建了油气生产物联网系统的体系架构。油气生产物联网系统由感知层、传输层和应用层构成,三层架构实现了油气作业现场生产基础数据、设备运行参数和视频图像的自动采集;通过无线或有线网络将采集到的数据传输到生产调度中心;生产调度中心对收集到的数据进行统计分析和处理,并实现数据共享,为管理者提供决策依据,从而实现生产运行的可视化管理。     

基于物联网的轴承噪声测量仪管理系统

基于物联网设计了一种轴承噪声测量仪管理系统,该系统包括设备控制终端、智能管理终端和管理中心服务器三层结构.设备控制终端利用PLC、传感器等实现设备工作状态的现场实时数据采集和处理;智能管理终端利用嵌入式技术实现现场显示、权限识别和通信管理等功能;管理中心服务器实现集中显示、管理和自动存档、用时管理和使用效率分析等功能.结果证明,该系统可以实现对设备的有效管理,此外还解决了大型设备数据接口不一致,难以接入互联网的难题.     

基于PMS的输变电设备故障诊断系统设计

为提高输变电设备故障诊断能力,研究了基于PMS的输变电设备故障诊断系统设计方法.首先,构建系统总体设计构架,采用便携式设备,对故障信息进行采集;再利用传感器技术进行故障信息采集和热成像处理,进而构建输变电设备故障信息PMS特征提取模型,根据振动波形分析和红外图谱分析,实现故障特征的提取和诊断,并构建输变电设备故障诊断的PMS数据信息融合模型,实现输变电设备的多参量自诊断智能巡视方法设计;最后,利用高集成传感信息处理和实时在线检测方法,对输变电设备的健康状态评估及运行趋势进行预测,实现故障实时诊断.仿真结果表明,采用该方法进行输变电设备故障诊断的效率较高,最短可在3 s时间内检测完毕,故障诊断的精准度水平最高可达到89%,具有一定的应用价值.     

用于网络化制造的智能化ASP平台

在ASP平台推广应用中遇到智能化的需求,采用移动Agent技术构建5层结构的ASP平台,以工作流管理来组织协调平台智能运作;以构件技术搭建资源构件层,保证可扩展,满足分布性,实现软件装配;以智能管理层调用应用服务层和资源构件层,整合平台资源,实现平台智能化。     

计算机技术在机械能源中的应用

互联网、软件工程、物联网、数据库等计算机技术的快速普及和发展,其在机械能源生产制造中得到广泛应用,利用软件工程技术开发了生产监控系统、机械加工和设计系统、能源勘探开采系统、OA系统,接着使用交换机、路由器、数据库、Web服务器等构建了一个拓扑结构,基于互联网实现了信息共享,并且引入了RFID、传感器等物联网技术采集机械能源开采设备的运行状态信息,进一步提升了机械能源的生产制造效率。     

炼化企业智能计量构建的思考

正当前,炼化企业的现代化管理正逐步向智能化工厂模式迈进,上海石化作为地处上海这个国际大都市的特大型石油化工产品生产企业,也正在积极探索智能工厂的建设,抢跑工业4.0时代。"智能计量"作为智能工厂的基础构建,借助于信息化和工业化融合,着手打造上海石化"数据中心",通过对基础数据的有效分析和科学预测,运用自动化与信息     

Big data and machine learning: A roadmap towards smart plants

Industry 4.0 aims to transform chemical and biochemical processes into intelligent systems via the integration of digital components with the actual physical units involved. This process can be thought of as addition of a central nervous system with a sensing and control monitoring of components and regulating the performance of the individual physical assets (processes, units, etc.) involved. Established technologies central to the digital integrating components are smart sensing, mobile communication, Internet of Things, modelling and simulation, advanced data processing, storage and analysis, advanced process control, artificial intelligence and machine learning, cloud computing, and virtual and augmented reality. An essential element to this transformation is the exploitation of large amounts of historical process data and large volumes of data generated in real-time by smart sensors widely used in industry. Exploitation of the information contained in these data requires the use of advanced machine learning and artificial intelligence technologies integrated with more traditional modelling techniques. The purpose of this paper is twofold: a) to present the state-of-the-art of the aforementioned technologies, and b) to present a strategic plan for their integration toward the goal of an autonomous smart plant capable of self-adaption and self-regulation for short- and long-term production management.     

大数据与数字孪生驱动的智慧校园集成设计研究

目的 为解决智慧城市集成化设计中仍存在数据孤岛与智慧决策的相关问题,因此设计了一套以智慧校园创新服务生态为导向的园区集成设计方案,为大数据与数字孪生驱动的智慧城市构建提供建设新思路。方法 研究通过建立智慧校园数据的标准信息模型,采用结构化数据为主的物联网传感器进行部署,并利用大数据与深度学习方法实现校园的智慧大脑,开发了基于Web 3D与数字孪生驱动的人机共融可视化平台,从可操作性角度制定了可执行、可落地的智慧校园设计。结果 从大数据特点切入对智慧校园的构建状况进行分析,建立智慧校园数据的标准化模型,设计了基于GRU-CNN深度学习智慧大脑的Web 3D与数字孪生驱动可视化平台。实验表明该系统具有数据可视化与智能决策功能,能提供给用户沉浸式、多维动态的人机共融交互体验。结论 利用大数据驱动的数字孪生可视化平台可以实现校区一体化运行,增强校园结构的智能化、高效化和人性化,提高使用效率。智慧校园集成平台设计同时可以推动现代化城市进一步完成数据互通互联、数据可视化、智慧服务管理新模式。为当前智慧城市的建设提供技术及理论参照。     

Smart construction site in mega construction projects: A case study on island tunneling project of Hong Kong-Zhuhai-Macao Bridge

The construction sites of mega construction projects (MCP) often have numerous participants with interfacing work within a highly complex system. It is critical how to realize collaborative work and information sharing among such participants. The information and communication technologies (ICTs) provides a technical guarantee for solving this problem. Existing research has been achieved the partial processes digitization of construction site, but certain problems still exist: 1)information perception of the construction site is passive. 2) common collaboration and coordination problems in the construction industry have not been addressed. The emerging trends of ICTs have resulted in the integration of various computer technologies such as CPS, BIM, big data, and cloud computing into construction process, which would changes behavioral and management mode of construction sites. These new ICTs have been applied successfully in MCP, in particular, Hong Kong-Zhuhai-Macao Bridge project. A new management mode of construction sites is inspired by these case. In this paper, a new management mode of construction site for MCP has been proposed, namely, smart construction site. The ultimate goal of smart construction site is to accomplish safe, efficient and high-quality construction. This study put forward the conceptual framework for smart construction site, and have identified three key elements of smart construction site, including information support platform, collaboration work, and intelligent construction management. A case study on Hong Kong-Zhuhai-Macao Bridge project work as an evidence to support the practicability of the proposed mode. Significant contributions of this study is to propose a new management mode for MCP in construction industry, which would enrich the body of knowledge or the construction management community. Future research should be dedicated to further explore the potential of smart construction site in MCP management.     

电力LTE无线专网架构研究

电力通信接入网是电力通信网的重要组成部分,为智能电网建设提供全面的通信接入支撑。随着智能电网技术的发展与创新,迫切要求通过技术手段提升电网智能化运维水平,降低运维成本。同时,由于"互联网+"及"云技术"等新技术的应用,电力通信网络正发生着重大改变。随着配用电及光伏并网等数据采集量的不断增加,移动业务需求不断提升,接入网建设将成为通信网建设的重点和难点。该文通过研究电力3GPP长期演进（power long term evolution,LTE）无线技术的特点,以及在通信接入网等领域的应用,提出电力LTE无线专网整体网络架构,并深入研究电力LTE无线通信信道特性参数,结合目前已部署实施的电力LTE通信网络性能进行分析和测试,为电力终端通信接入网的统一建设和统一运维管理提供技术支撑,为LTE电力无线专网的推广应用奠定坚实基础。     

Fundamental Theories and Key Technologies for Smart and Optimal Manufacturing in the Process Industry

Given the significant requirements for transforming and promoting the process industry, we present the major limitations of current petrochemical enterprises, including limitations in decision-making, production operation, efficiency and security, information integration, and so forth. To promote a vision of the process industry with efficient, green, and smart production, modern information technology should be utilized throughout the entire optimization process for production, management, and marketing. To focus on smart equipment in manufacturing processes, as well as on the adaptive intelligent optimization of the manufacturing process, operating mode, and supply chain management, we put forward several key scientific problems in engineering in a demand-driven and application-oriented manner, namely: ① intelligent sensing and integration of all process information, including production and management information; ② collaborative decision-making in the supply chain, industry chain, and value chain, driven by knowledge; ③ cooperative control and optimization of plant-wide production processes via human-cyber-physical interaction; and ④ life-cycle assessments for safety and environmental footprint monitoring, in addition to tracing analysis and risk control. In order to solve these limitations and core scientific problems, we further present fundamental theories and key technologies for smart and optimal manufacturing in the process industry. Although this paper discusses the process industry in China, the conclusions in this paper can be extended to the process industry around the world.     

智慧物流关键技术及建设对策研究

目的 为了促进智慧物流技术进步,推动智慧物流发展。方法 分析智慧物流的关键技术,提出智慧物流系统的建设对策。结果 智慧物流的关键技术总体可以分为信息化技术、智能化装备、系统集成技术等三大类;从加强法规政策引导、创新共享合作模式、完善物流标准体系、利用物流闲置资源、开发关键技术设备、探索人才培养机制等6个方面提出了推动智慧物流系统建设的对策。结论 顺应智慧时代,推动智慧物流的建设与发展。     

Engineering management for high-end equipment intelligent manufacturing

The high-end equipment intelligent manufacturing (HEIM) industry is of strategic importance to national and economic security. Engineering management (EM) for HEIM is a complex, innovative process that integrates natural science, technology, management science, social science, and the human spirit. New-generation information technology (IT), including the internet, cloud computing, big data, and artificial intelligence, have made a remarkable influence on HEIM and its engineering management activities, such as product system construction, product life cycle management, manufacturing resources organization, manufacturing model innovation, and reconstruction of the enterprise ecosystem. Engineering management for HEIM is a key topic at the frontier of international academic research. This study systematically reviews the current research on issues pertaining to engineering management for HEIM under the new-generation IT environment. These issues include cross-lifecycle management, network collaboration management, task integration management of innovative development, operation optimization of smart factories, quality and reliability management, information management, and intelligent decision making. The challenges presented by these issues and potential research opportunities are also summarized and discussed.     

数据驱动的智能医疗产品服务系统设计研究

目的 面向医疗领域,探究以数据驱动的智能产品服务系统框架,以数据驱动价值创造,为新型医疗系统解决方案提供理论指导。方法 运用文献研究和典型案例分析法,概述了目前医疗服务的现状与挑战,梳理了智能产品服务系统的发展脉络,并通过文献的归纳整合,对面向医疗领域的智能产品服务系统数据进行总结分类,构建了以“产品—服务—环境—用户”四个方面数据驱动的智能医疗产品服务系统设计框架,结合代表性的医疗产品案例,详细阐述了具体的数据驱动范式和价值共创过程。结论 智能产品服务系统在医疗领域具有巨大的研究潜力,业务流程和服务的数字化,加上新的信息通信技术的出现,使信息的集成与整合创新成为可能,医疗场景的海量数据也得以发挥更大的潜在价值。数据驱动的智能医疗产品服务系统设计框架为该领域的设计策略研究和方法开发奠定了基础,同时为数据驱动的智能医疗产品服务系统设计实践提供了一定理论支撑和指导。     

KNX总线技术在楼宇和家居控制系统中的应用

阐述KNX总线标准协议并以此为基础、融合物联网的智能控制系统技术原理。系统由传感执行层、网络通讯层和应用层组成：传感执行层采用KNX总线标准协议;网络通讯层采用上述协议和以太网的两层架构;应用层为集中管理和移动终端控制软件。系统功能包括灯光、遮光/百叶窗、供暖、新风、空调、智能家电、能耗监测等的就地和远程控制,可广泛应用于智能楼宇和智能家居的控制系统。     

智慧能源体系信息通信技术构架及实施方案

基于社会经济发展、环境保护需求、产业政策引导等多方因素,智慧能源将为传统能源结构带来新一轮的巨变。现代信息通信技术(information communications technology,ICT)的飞速发展,为传统能源向智慧能源转型升级提供了强有力的技术支撑。整个智慧能源体系将以创新型的场景需求为导向,以跨界科技力量的深度加持为支撑,驱动整个能源及相关产业链的结构性升级。结合云计算、大数据、物联网(internet of things,IoT)、移动通信、人工智能、区块链等新兴技术,赋能传统能源体系,提出一种适用于智慧能源应用场景下的能源体系ICT构架,贯通能源体系的底层至顶层,实现智慧能源体系能量流、信息流和价值流的全面融合。