基于物联网和大数据的工厂能耗分析平台的研究

发布时间：2018-08-22 13:47

【摘要】：随着工业4.0概念的提出,智能化成为工业发展的必然趋势。把通信技术、网络技术和传感器技术相结合的物联网技术将为工业智能化提供数据支撑。为满足工业智能化的需求,工业生产环境中的物联网设备数量将会逐渐增加,工业物联网产生的数据量也会越来越大,如何有效处理工业生产中的海量物联网数据成为亟待解决的问题。本文针对工业领域对于大数据处理技术的迫切需求,结合工业大数据的特点进行系统研究和架构设计,实现了一套模块化、可移植的工业能耗大数据分析平台。首先,本文对无线传感网络领域和大数据领域的发展现状进行了简要阐述,分析了工业生产和管理中对于大数据相关技术的迫切需求,并对能耗大数据分析平台中使用的相关技术进行了简要介绍;随后,详细分析了用户对于能耗大数据分析平台的数据查询功能和大数据分析功能的需求,以工业生产环境和工业大数据特性为背景对能耗大数据平台的系统架构进行研究、设计和论证,最终将系统设计为由传感网络层、大数据平台层和中间件层构成的三层架构模型;接着,完成了传感网络层的部署和实现,以及适用于工业生产环境的高可用、可扩展的大数据平台层的选型、部署和优化;然后,参考工厂现有条件和用户需求对中间件层的必要性和可行性进行了研究和论证,并完成了中间件层的模块化设计和实现;最后,在大数据平台层的基础上,通过中间件层的任务调度和功能衔接实现了能耗数据的统计查询功能、即时查询功能以及基于复杂模型的数据分析功能。本文最后在生产环境中验证了能耗大数据分析平台的设计方案,并通过分析能耗数据提出了节能策略。
[Abstract]:With the introduction of the concept of industry 4.0, intelligence has become an inevitable trend of industrial development. The Internet of things, which combines communication technology, network technology and sensor technology, will provide data support for industrial intelligence. In order to meet the demand of industrial intelligence, the number of Internet of things equipment in the industrial production environment will gradually increase, and the amount of data generated by the industrial Internet of things will also become larger and larger. How to deal with mass Internet of things data in industrial production effectively becomes an urgent problem. In order to meet the urgent need of big data processing technology in the industrial field, this paper carries out systematic research and architecture design combined with the characteristics of industrial big data, and realizes a modular and portable big data analysis platform for industrial energy consumption. First of all, this paper briefly describes the development of wireless sensor network and big data, and analyzes the urgent needs of big data related technologies in industrial production and management. The related technologies used in the energy consumption big data analysis platform are briefly introduced, and then, the requirements of the users for the data query function and the big data analysis function of the energy consumption big data analysis platform are analyzed in detail. Based on the background of industrial production environment and industrial big data characteristics, the system architecture of energy consumption big data platform is studied, designed and demonstrated. Finally, the system is designed as sensor network layer. Then, the deployment and implementation of the sensor network layer, and the selection, deployment and optimization of the highly usable and extensible big data platform layer suitable for industrial production environment are completed. Then, the necessity and feasibility of the middleware layer are studied and demonstrated with reference to the existing conditions and user requirements of the factory, and the modularization design and implementation of the middleware layer are completed. Finally, on the basis of the big data platform layer, Through the task scheduling and function connection of middleware layer, the statistical query function of energy consumption data, the real-time query function and the data analysis function based on complex model are realized. Finally, the design scheme of energy consumption big data analysis platform is verified in the production environment, and the energy saving strategy is put forward by analyzing the energy consumption data.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5;TP311.13

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