Pulp Paper & Logistics


A link to a base in Italy could help tissue machine performance

environment in which information about a tissue making or converting machine’s performance status is monitored over the internet by engineering experts was launched at the MIAC trade show in Italy by Fabio Perini Spa. At Fabio Perini’s Tissue


Performance Center in Lucca, the engineers, supported by data scientists, are able to suggest improvements to maximise the overall equipment effectiveness (OEE) of production lines at their customers’ mills. More than 1,000 machines

around the world could be linked

to the centre. “The customer connects his machine to the Tissue Performance Center,” says Franco Franceschi, customer service performance services manager, explains. “This way,

output data, motor temperature and parameters are constantly monitored. These values, compared with historic production data, allow the Fabio Perini experts to remotely implement corrections to enhance the

hat is described as the ‘next- generation’ technological

efficiency of the production lines, and to detect possible causes of malfunctioning and to establish beforehand the appropriate actions to solve them.” Franceschi continues:

“Performance reports, background analyses to evaluate cause/ effect and now also control on energy consumption are part of an articulated path that will lead us in the near future to a learning machine capable of autonomously interpreting data and of improving by its own the machine performance under every condition.” More information from Fabio

Perini Spa, Via Giovanni Diodati 50, 55100 Lucca, Italy. Tel: 39 0583 4601. Website: www.

Manage large volumes of plant data with resource manager

Yokogawa Electric Corporation has launched Plant Resource Manager (PRM) R4.03, the latest version of a software package in the OpreX Asset Management and Integrity family that facilitates the monitoring and control of plant operations by centralising the management of large volumes of data from instrumentation and manufacturing equipment. PRM R4.03 features device diagnostic functions that help to optimise plant maintenance and ensure safe operations. This translates into higher efficiency and advances the transition from reactive to predictive

maintenance. Plants have become increasingly

reliant on digital communications to handle a growing amount of data. As a result, operators enjoy improved access to field device maintenance information and information on process parameters. In response to customer needs for greater maintenance efficiency and reduced risk of device failure, Yokogawa has enhanced PRM’s device and equipment diagnostic functions to make more effective use of data from digital devices for afdjusting their operating conditions. Also, to streamline

and accelerate plant start-up operations, a function that helps to set device parameters has been added.

Enhancements to the starter

edition include InsightSuiteAE, which enables the viewing of diagnostic data that can aid in the identification of device degradation. This proactive condition-based monitoring reduces the daily workload for maintenance personnel because only selective device checks need to be carried out. PRM now comes with an

interface for generic systems that enables the software to connect

with device and equipment diagnostic systems. This helps to identify abnormal conditions in peripheral equipment and field devices. Also, a device parameter audit function has been added that enables parameter checking to be performed immediately at plant start-up. This confirms that the correct parameters have been set for all field devices of the same model and makes it easier to troubleshoot problems by checking parameter changes and logs.

More information from www.

November/December 2019

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