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Focus Manutenzione e valvole per impianti industriali INFORMAZIONE PUBBLICITARIA

FORES

Welcome to the Plant

of tomorrow! AIPMS ®

Background
Every year the production plants of many companies
operating in the energy production sector suffer bre-
akdowns or malfunctions, which can cause major losses
in turnover as they require more or less long periods of
downtime to be repaired. For this reason it is suggested
to carry out periodic maintenance of these plants, in or-
der to prevent more serious problems, which would in-
volve an excessive expense for their resolution. There are
several ways to meet this need but certainly being able
to automatically detect a need for maintenance and act information on the health diagnostics of the instruments
ahead of time remains the choice adopted by most of the and statistics on their performance. This makes it pos-
world’s leading energy companies. sible to predict possible errors due to the equipment
and provides advice and instructions so that expected
The Solution errors can be dealt with. Its maintenance module dra-
To cope with this, Fores Engineering in partnership with stically reduces downtime on the working machinery,
eResult has designed a specifi c solution: Asset Integri- maximizing the productive activity of the plant. By leve-
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ty Performance Management Service (AIPMS ), jointly raging AIPMS ’ powerful predictive operations module,
developed by combining strong experience in industrial companies can take advantage of valuable asset-related
plants, energy, information technology and big data en- data and make production processes more effi cient, so
gineering. they can maximize productivity effi ciency through perfor-
AIPMS is an advanced software platform, fully adapta- mance improvement recommendations.
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ble to the plant hierarchy, tailor-made for the industrial The energy management module of AIPMS analyzes
plant and its specifi c KPIs, able to collect and analyze electricity consumption data in all areas of the plant, with
data, providing predictive information on specifi c areas. the help of artifi cial intelligence and machine learning in
The AIPMS platform is able to integrate perfectly with order to recognize and predict ineffi ciencies, abnormal
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pre-existing systems in plants and based on dedicated energy consumption, losses, potential increases in
key performance indicators is able to optimize aspects emissions.
related to plant productivity, equipment longevity and Finally, the AIPMS logistics module is a powerful tool
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energy consumption. for warehouse management and transport forecasting.
Its predictive maintenance module analyses the data and Through predictive maintenance it has the ability to opti-
conditions of the operating tools in real-time, in order mize inventory and workforce management
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to plan what type of Through the use of AIPMS software, productivity is in-
maintenance to carry creased, equipment life is extended, energy savings are
out, establishing when assured, maintenance costs are reduced, unplanned
to carry it out and what downtime is reduced, or eliminated.
resources are needed For further info:
for the maintenance www.aipms.com
itself. email: fabio.nardone@fores.it
All of the equipment Visit our stand at Hall D5-Booth 112 at:
is constantly moni-
tored and the data is
analyzed by artifi cial
intelligence to produce

68 68 Impiantistica Italiana - Settembre-Ottobre 2020