PROFINET Network Research Articles

IMPLEMENTATION OF IO-LINK TECHNOLOGY INTO THE HANDLING AND SORTING SUB-STATION OF THE FESTO FMS 500 AUTOMATED LINE

The article deals with implementing IO-LINK components in the sorting station of the FESTO FMS 500 automated line and their experimental verification based on the principles of IO-LINK technology. The implementation of such technology also includes the upgrade of the PLC control to PLC S7-1500 (SIEMENS), the addition of an IO-LINK device (BALLUFF BNI005H), and a signaling light device from the same company (SMARTLIGHT BNI007F), which ensures the indication of workplace state. Communication between the PLC device and the IO-LINK devices is carried out via the PROFINET communication network. Installing the signaling light device at the sorting station of the automated line provides light signaling messages for the operator (concerning the standard STN EN 61310-1). For example, the indication of the filling of the reserve warehouse using a light signaling message means the operator needs to empty the individual warehouses to repeat the sorting operation. In addition, part of the article is the implementation and evaluation of experimental measurements, the aim of which is to determine both the individual sorting times of various components, as well as determining their maximum number during the sorting process in connection with increasing the level of automation of the sorting station as such.

A cloud-based condition monitoring system for fault detection in rotating machines using PROFINET process data

This work presents a methodology for a cloud-based condition monitoring system for fault detection and identification in rotating machines, such as uncoupling, angular and parallel misalignment, by data mining PROFINET network and PROFIdrive profile process data. The proposed methodology involves a new strategy for feature selection of unsupervised data set and employs SVM (Support Vector Machine) and OCSVM (One-Class Support Vector Machine) for operation status classification. The present diagnostic system represents a low-cost solution to the manufacturing process of small and medium enterprises, because it does not require dedicated sensors for fault detection and high featured hardware, and it employs an online cloud-based services. The experimental tests resulted in an accuracy between 87.5% and 100%, and high robustness among different operating conditions. In addition, the proposed feature selection strategy reduced the total execution time by 97.5%.

A New Method for Fault Detection of Rotating Machines in Motion Control Applications Using PROFIdrive Information and Support Vector Machine Classifier

Abstract Electric motors are widely used in the industry. Several studies have proposed methods to detect anomalies in their operation, but always using sensors dedicated to this purpose. In this sense, this work aims to fill gaps in related works presenting a method for the detection of faults in rotating machines driven by electric motors in motion control applications using PROFINET network and PROFIdrive profile. The proposed method does not require any additional or dedicated sensors to provide data to the diagnostic system. Instead, the proposed methodology is based on the analysis of data transmitted in the communication network, which already exists for control purposes. Support vector machine (SVM) is used as a classifier of five different mechanical faults. The results provide that the methodology is feasible and efficient under different machine operating conditions, achieving, in the worst case, 97.78% efficiency.

AUTOMATION ENGINEERING SERVICE FOR CORN STEEPING AND WET MILLING PROCESSES, IN FACTORY OF GLUCOSE AND CORN DERIVATIVES (GYDEMA): CIENFUEGOS, CUBA

The factory of glucose and corn derivatives of Cienfuegos is one of the most important factories of this city’s industrial pole. As part of the modernization of processes on this factory, an automation engineering service was carried out by the CEDAI Enterprise of Cienfuegos. The main goal of this service was to implement a control system that will optimize steeping and wet milling processes, improve the process operation, increase the productive capacity of these areas as well as the product quality. To do so, many tasks were executed, it was necessary to replace the obsolete equipment, as well as pneumatic equipment, and the incorporation of new technologies for process control. Likewise, the development and implementation of a SCADA for steeping process. On the other hand, the wet milling process was provided with a modern MCC, equipped with advanced technology to this end, which includes a PROFINET network for motor control and using SIEMENS technology. Additionally, an HMI based SCADA was implemented to control the wet milling process. With the final application of this service, centralized control of pumps and motors of these processes was achieved, as well as supervise the status of the corresponding equipment and continuously monitoring the process variables through simple interfaces, easy to use and interact. Thus far, the developed control systems has been operating for more than two years and its implementation was a step forward for the technological upgrade of the factory, improving consumption rates, saving energy and increasing the production rates, as well as the quality of the product.

OPC UA: Examples of Digital Reporting Applications for Current Industrial Processes

The fourth industrial revolution is obviously well underway. Every day, we have the demonstration through new modes of commercial and industrial organizations. We are faced with major breaks as well related to the evolution of technologies as to the globalization of the economy with the emergence and the maturity of new actors: the challenge of the energy transition, the digital revolution, the protection of our planet, the convergences between human sciences and sciences. This paper presents different applications implemented for “Internet of Things” with Profinet network. These applications can be used on all of the company's processes as part of the Industry of the Future. The OPC standard appeared in the mid-1990s to facilitate exchanges between the world of automation and that of PC-based supervision. The latest OPC UA (Unified Architecture) specifications are now validated. With this new version, the OPC Foundation is revolutionizing its standard of communication between industrial equipment. OPC UA breaks the links that made it inseparable from Microsoft Windows. It can be deployed on all types of platforms. A Programmable Logic Controller (PLC) manages a manufacturing process. Seven operator panels also manage the various production recipes. Client n°1 makes the link to other Clients (reporting, E-mail, opening up to a scientific platform). The results are presented and detailed for numerous opportunities for industrial developments.

Detection of Anomalies Related to the Operation of the Profinet Network Through Feature Extraction and Classification

PROFINET networks are increasingly being applied in industrial environments. Due to its expansion, it is common for new diagnostic tools to emerge dedicated to protocol. However, these tools present functions that require advanced knowledge of the end user to use them. Being more specific, it would be of the most importance if, by means of network traffic analysis, it was possible to identify the network's operating status (normal operation or with some anomaly) automatically. In view of the facts, this article aims to propose a methodology for classifying events related to the operation of the PROFINET Network Through Feature Extraction and Classification with Artificial Neural Networks. All the data are real and they were collected in an industrial plant.

A Method for Anomalies Detection in Real-Time Ethernet Data Traffic Applied to PROFINET

There are major discussions about the vulnerability of protocols based on real-time Ethernet (RTE) and techniques for detecting anomalies. Thus, this work proposes a methodology for detecting anomalies by optimizing the data extraction and by classifying traffic-related features. In order to cope with this proposal, an artificial neural network (ANN)-based classifier is trained using selected relevant features. These features are extracted using variable sized sliding window and selected according to their correlation with the other features and the expected output of the classifier. The number of relevant features can vary according to performance indicators of the classifier. The proposed methodology was exploited for identifying four different events of PROFINET networks. The performance of the ANN-based classifier was considered successful for all cases. This outcome suggests that the proposed methodology may be successful for anomalies detection in any PROFINET network. However, the application of the proposed methodology to other RTE protocol is foreseen.

一种基于PROFINET的钻井地面数据采集系统

针对钻井现场地面数据种类多样化的特点，设计一种基于最新的工业以太网标准PROFINET的地面数据采集系统，采用西门子PLC1200做为数据采集核心处理单元，可兼容常规总线如PROFIBUS总线和以太网设备，克服传统数据采集装置硬件设计单一，不易于扩展，兼容性差等缺点，实现从管理级到现场IO设备的“一网到底”，并可兼容工业以太网设备。本设计具有数据传输可靠稳定，现场使用灵活，可方便扩展系统等诸多优点，可在钻井现场环境数据监控及采集处理中发挥重要作用。 According to the characteristics of data diversity of drilling site, this paper designs a data acquisition system which is the latest industrial Ethernet standard based on PROFINET, using SIEMENS PLC1200 CPU as the core data acquisition processing unit, compatible with conventional bus such as PROFIBUS bus and Ethernet equipment, to overcome disadvantages of simple hardware design of the traditional data acquisition system, expansion and poor compatibility. The design can realize the management from the site IO equipment to man-machine interface in PROFINET network, and can be compatible with industrial Ethernet equipment. The design has many advantages, such as reliable and stable data transmission, flexible field usage and easy expansion of the system. It can play an important role in monitoring, collecting and processing the data in the drilling site.

Control Specialists Ltd UK Web Shop: Everything You Need for the Support and Monitoring of Your PROFINET, PROFIBUS and AS-i Networks, Including EMC Diagnosis

Control Specialists Ltd UK Web Shop: Everything You Need for the Support and Monitoring of Your PROFINET, PROFIBUS and AS-i Networks, Including EMC Diagnosis

Influence of network parameters on the recovery time of a ring topology PROFINET network

Abstract: This paper proposes a study on the use of ring topology to increase availability of PROFINET networks. It discusses the influence of Media Redundancy Protocol (MRP), watchdog time, and the computational power of the PROFINET Controller on the communication recovery time after a ring fracture. The paper proposes to consider two main contributions to the overall recovery time: the first is related to the low level (Ethernet layer 2) redundancy management, while the second is related to the software configuration of the entire network. Several different configurations of networks have been created in laboratory and many others have been analyzed in real industry plants. The collected results show how watchdog could influence recovery time since its violation could trigger higher level routines whose duration is basically set by PROFINET controller computational capability. On balance, relevant suggestions to increase the availability of PROFINET networks are pointed out.

Power Measurement and Data Logger with High-Resolution for Industrial DC-Grid Application

Abstract Power and energy measurement and monitoring is a key factor for many industries in terms of energy and cost efficiency evaluation. Due to trends of Smart Grid concept application in industrial environment, including decentralized DC-Grid implementation, for precise evaluation – faster and low-cost measurement equipment is needed. Manufacturing industry widely uses industrial robots that have dynamic load characteristics for which faster measurement equipment is needed. This paper gives a brief description of the developed power measurement equipment, its structure and interconnection with industrial Profinet network. Further as a testing method steady state and dynamic loads are selected and analyzed. For testing, specially created industrial DC-Grid testing environment and equipment was used. Testing results show that the selected method and idea is working and is able to measure dynamic loads with high resolution. For other industrial load types there is a discussion going on about the issue of how detailed the resolution is needed in industrial SmartGrids, as energy forecast is a new trend in robotic industry and manufacturing planning.

Scheme of Protection and Monitor Underground High-Voltage Power Supply System Based on PROFINET

Short circuit protection of high-voltage power lines in coal mine cannot realize selectivity with existing protection systems. To solve this problem, a scheme of protection and monitor underground based on PROFINET was proposed. The system is mainly composed of PROFINET network, monitor, controller, and integrated protector with PROFINET IO interface circuit. The system achieves protection and power monitoring network integration, completes the selectivity of short circuit protection, and can determine fault position quickly. Thus the troubleshooting time is cut and reliability of power supply network is improved. The simulation results show that the POROFINET real-time meets the requirement of protection and the system can realize short-circuit protection and power monitor function.

Performance analysis of PROFINET networks

Nowadays, Ethernet networks may be profitably employed also at the lowest levels of factory automation systems. Indeed, suitable application layer protocols for Ethernet have been recently developed in order to cope with the critical requirements imposed by the industrial applications. In this paper we focus on the protocols used by PROFINET, an emerging standard for industrial communications based on Ethernet, which is now available in two different versions, named CBA and IO. After a description of the protocols, we show the results of some tests aimed at evaluating the performances of such a network. In particular, we concentrate the attention on the times necessary to transfer limited amounts of data among stations. With regard to PROFINET CBA, the outcomes of an experimental set-up comprising several components, show, for the transfer times, highly variable values, dependent on the network load. Conversely, for PROFINET IO, the results of a set of numerical simulations we performed, allow to expect constant transfer times of some milliseconds, or even less, provided that an accurate time synchronization between stations is maintained.