FEAT RE FEA ATURE
COM RESSE
COMPRESSED AI R DIGITA LY
or all its consumption within industry – leading to its status as the ‘fourth utility’ by many – compressed air
F
equipment has yet to truly capitalise on the opportunities that the IoT presents. High-quality energy and performance at a cost-effective price continues to be a key consideration for all businesses, and data-driven insights that achieve this are to be enc
ouraged. can help
With generating compressed air
accounting for 10 per cent of total energy costs in industry, ensuring wastage is kept to a minimum should be a key concern for all operators. Industry averages suggest energy costs account for more than 80 per cent of the total cost of ownership of a compressor, so performance optimisation, leak reduction and practical air management processes should be welcomed. Industry 4.0 and the IoT are the greatest opportunities available today to help organisations work smarte r.
Many organisations do not have the time or resources available to make the most of the data and information they collect. Alternatively, the trend seems to be to only consider data when an issue arises, rather than using it to effectively manage a compressed ai r system .
THE HREE HE THREE STAGES OF ANALY TAGES OF ANALYTLYTICSICS
There are three key stages to analytics. The first is as simple data, outlined above, which is where data is collected but not processed in any meaningful way. The next phase is predictive, whereby analytical tools are used to ‘consume’ data. This will then make predictions about unknown future
occurrences, using a range of techniques such as data mining, statistics, modelling and machine learning to do so.
DIGITALLY DRIVI G COMPRESSED MANCE
AIR PERFORMANCE
For com ressed air u ers, the Internet of T ings (IoT) i enabl ng organisations tom nage, opti improve equipment processes. Charl s Joel, global IoT and analytics director at Gardner Denver, discusses how digital data looks set to provide analytics with real value for those using compressed air services
For compressed air users, the Internet of Things (IoT) is enabling organisations to manage, optimise and prove equipment processes. Charles Joel global
se and T and analyti s director at Gar ner Denver, discusses digital data looks set to provide analytics w th real val e for those usi g com ressed air servi es
TALLY DRIVING COMPRE SSE D AIR PERFORMA
valuable insights into how a compressed air systemis running, and offer
recommendations into how its operations could be optimised and improved. The final stage is cognitive analytics. This is a strategy that describes how analytics and technologies can be applied to help humans make smarter decisions. A cognitive system will learn through its interactions with data and responses from the end user. It draws inferences from existing data and patterns; draws conclusions from existing knowledge bases; and then learns from this to inform future decision-making an d business intelligence. Also, because a cognitive systemis in a perpetual state of learning, it wi deliver the requi
red outcomes in the ll keep adapting to
most efficient way possible . A MODERN CONN MODERN I ICONN
To meet this need, Gardner Denver has introduced a new digital platform to the
When based upon logical and intelligent market. iConn is a cloud-based, air rules, predictive analytics can give businesses the right info rmation whe n needed. For the IoT to truly be successful in the compressed air market, businesses will need to work collaboratively with an informed and knowledgeable organisation that has the in-depth understanding to establish the right rules within a system. These are the rules that will provide
20 20 OC OCTOBE BER 201 2017 | FAC ACTORY EQ EQUIPMEN PMENT
management platform, which has been developed to deliver advanced analytics, enabling operators to stay in control of their installation. The system provides historic, real-time, predictive and cognitive analytics, allowing users to rectify potential issues before they happen. The platform is useful for
businesses with multiple remote sites or
unmanned installation, as it enables users to monitor compressor
performance from a single location, via their mobile device, tablet or PC.
iConn helps minimise fault incidences for increased uptime, and also provides detailedmachine parameters and over- time trend analysis to enable plant managers to optimise system
performance. Compressor or ancillary asset data can be transferred securely via -Fi to a wide range of nsuring data security. services also allow me analytics o r
users to view real-t i iConn’s cloud-based connected devices, e GSM, Ethernet or Wi
access data throug h open APIs . AN OPEN FU URE AN OPEN FUTURE
While iConn is available as standard on all new CompAir machines from Gardner Denver and can be retrofitted to existing compressor installat throughout its devel
fact that the platform also supports ancillary and non-Gardner Denver based products. The aim is to provide a one- stop digital experience for managing an entire compressed a Data analytics offe
rs organisations the ir system.
most valuable means of evaluating compressed air generation, helping to manage, optimise and improve usage.
www. www
ww.gardn de
dnerdenver.com / FACTORY FACTORYEQUIPMENT RYEQUIPMENT
opment has been the ions, a key feature
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