Kaariainen J.,VTT Technical Research Center of Finland |
Valimaki A.,Metso Automation Inc.
International Journal of Computer Applications in Technology | Year: 2011
In this paper, we present empirical research where the applicability of Application Lifecycle Management (ALM) for the management of distributed software development projects was studied in the context of the automation industry. The research analyses the ALM solutions of the case company against the ALM framework and, further, considers how the solutions meet the functions of the 3C-model. According to our results, ALM can support a distributed project by facilitating communication, cooperation and coordination. In our case, a central ALM database with common processes and tools enabled central orchestration for the software projects that operated in a global development environment. Copyright © 2011 Inderscience Enterprises Ltd. Source
Goldman J.,Metso Automation Inc.
PEERS Conference 2014 | Year: 2014
Many mills ask the following question. Should I control my Fiberline with lab test, inline sensors, or on-line analyzer measurements that pull samples from my process, or some combination of these? This paper will discuss the pros and cons of each of these approaches, focusing on critical kappa, brightness, and pH measurements throughout the entire Fiberline. This paper will also discuss how these lab or online measurements along with in-line continuous measurements can be utilized to control each process area. The process areas to be discussed include the continuous digester, 02 delignification, and the first three stages of a typical bleach plant. This paper will describe how the on-line absolute measurements or lab test can be used for feed-forward controls when they are located on the inlet of the process area. It will also discuss how these measurements can be used for feedback correction when they are located on the outlet of the process area. Finally, the reasons why these measurements and controls are so important to optimizing your process areas are explored. The reasons why each areas measurements and controls is so challenging is also explained. Source
Raty J.,Metso Automation Inc.
IPPTA: Quarterly Journal of Indian Pulp and Paper Technical Association | Year: 2014
A challenge in targeting for higher plant availability and performance is to share limited valve maintenance resources between failures already disturbing the process and on preventive work to avoid future failures. In shutdown planning one of the biggest challenges is to determine which devices will be adjusted, repaired or upgraded, and ensure that key devices requiring attention are not ignored. Metso has developed a combination of analysis approaches to cover whole installed valve base, done either remotely by a condition monitoring system or by using portable analysis tools and visual inspection. With an expert analysis of field device condition, recommendations for predictive maintenance significantly improve the cost effectiveness of subsequent service actions. Source
Kytokari J.,Metso Automation Inc.
26th International Mineral Processing Congress, IMPC 2012: Innovative Processing for Sustainable Growth - Conference Proceedings | Year: 2012
Controlling a wide range of minerals processes with single control system is an ordinary way to operate in mines all over the world these days. However the potential of these systems is not yet fully recognized nor utilized. The key issue is to manage the information in a way that enables automating the day-to-day tasks, quality control and safety functions. At the same time it provides means for optimization and constant improvement of processes creating a working environment where the system helps employees to do their key tasks instead of searching, modifying, and transmitting the huge number of information arising every day. The distribution of control system nodes enables the other processes to run heedless of a problem occurring in one of the sub-processes. Also the control room can be in remote location such as in large city removing the need to travel substantially long distances to plant sites every day. When all essential information is brought to the same place there is less risk for a mishap to happen due to information breaks that are often the cause of them. One of the biggest single reasons that result in production losses are break downs of machinery usually caused by normal wear, misuse, incorrect utilization rate etc. For this reason it is important to measure the condition of machines using vibration measurement and diagnostics. By moving from failure or time-based maintenance towards predictive or performance maintenance generates eventually a steady and predictable process but also results in significant long term savings. The mineral process at Talvivaara mine is based on bioheapleaching, whereby metals are leached from ore as a result of bacterial action. Bioleaching is a fairly new technology used in metals recovery. Therefore it is important for the mine to collect and analyze data from different stages of the minerals process. Talvivaara mine's Metso DNA system has integrated machine condition monitoring and information management. These are not only necessary but also crucial in environmental conditions where the outside temperature can drop below -35°C, where ice and snow dominate the landscape and impact the equipment for four months a year and where distances between equipment can be up to 7.5 kilometers. Source
Nuyan S.,Metso Automation Inc.
Paper Conference and Trade Show, PaperCon 2013 | Year: 2013
Pulp and paper automation systems have been experiencing an exponential rise in the data they generate. New data sources such as fast, non-scanning measurements, vision-based sensors, process and quality vision system cameras are all producing different types of data at a relatively large rate. At the same time, "big data" revolution led by internet based companies are changing data management and processing from a centralized to a distributed operation. This paper explores the "information big bang" in the P&P automation segment, looks at the big data infrastructure and tools, and how these might change the role of automation in the pulp and paper industry, specifically the role of QCS. The question of performance monitoring in the context of big data is also explored. Combining process data, alarm data, and process knowledge result in effective performance monitoring, benchmarking and debottlenecking tools. Source