MANUFACTURING PLANNING AND CONTROL SYSTEM USING TOMOGRAPHIC SENSORS

Q4 Engineering
Jonrad Niderla, T. Rymarczyk, J. Sikora
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引用次数: 4

Abstract

The article presents an idea of a production process control system. Advanced automation and control of production processes play a key role in maintaining competitiveness. The proposed solution consists of sensor networks for measurement process parameters, production resources and equipment state. The system uses wired and wireless communication, which gives possibility to acquisition data from existing in enterprise sensors and systems as well as acquisition data from new systems and sensors used to measure all processes, starting from production preparation to the final product. The solution contains process tomography sensors based on electrical capacitance tomography, electrical impedance tomography and ultrasound tomography. The use of tomographic methods enables to manage the intelligent structure of the companies in terms of processes and products. Industrial tomography enables observation of physical and chemical phenomena without the need to penetrate inside. It will enable the optimization and auto-optimization of design processes and production. Such solutions can operate autonomously, monitor and control measurements. All sensors return to the system continuous data about state of processes in some technologically closed objects like fermenters. Process tomography can also be used to acquisition data about a flow of liquids and loose ingredients in pipeline based on transport systems. Data acquired from sensors are collected in data warehouses in order to future processing and building the knowledge base. The results of the data analysis are showed in user control panels and are used directly in the control of the production process to increase the efficiency and quality of the products. Control methods cover issues related to the processing of data obtained from various sensors located at nodes. Monitoring takes place within the scope of acquired and processed data and parameter automation.
使用层析传感器的制造计划和控制系统
本文提出了一种生产过程控制系统的思想。先进的自动化和生产过程控制在保持竞争力方面发挥着关键作用。该方案由用于测量工艺参数、生产资源和设备状态的传感器网络组成。该系统使用有线和无线通信,可以从现有的企业传感器和系统中获取数据,也可以从用于测量从生产准备到最终产品的所有过程的新系统和传感器中获取数据。该解决方案包含基于电容层析成像、电阻抗层析成像和超声层析成像的过程层析传感器。层析方法的使用能够在流程和产品方面管理公司的智能结构。工业层析成像可以观察物理和化学现象,而不需要穿透内部。它将实现设计过程和生产的优化和自动优化。这种解决方案可以自主运行,监测和控制测量。所有传感器都向系统返回有关某些技术上封闭的物体(如发酵罐)的过程状态的连续数据。过程层析成像也可用于获取基于运输系统的管道中液体和松散成分流动的数据。从传感器获取的数据被收集到数据仓库中,以便于以后的处理和知识库的建立。数据分析的结果显示在用户控制面板上,并直接用于生产过程的控制,以提高产品的效率和质量。控制方法涵盖了与处理从位于节点的各种传感器获得的数据有关的问题。监控发生在采集和处理的数据和参数自动化的范围内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
40
审稿时长
10 weeks
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