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Posts Tagged ‘Process industry’

Air Liquide has established an ambitious programme that will take digitalization of the business to the next level. We spoke to Moussa Diakhité, Real Time Engineer, Air Liquide France Industrie, about the changes in operations and the opportunities and challenges encountered during the transformation.

„With the centralization and digitalization of its operation Air Liquide has changed its usage of the data. The implementation of SIO streams and a contextual database for time series data are part of thoses changes.“

Moussa Diakhité , Air Liquide in his statement on the PRAXISforum Big Data Analytics

In your statement, you say that Air Liquide has changed the usage of data. Could you describe what the most important aspect of this change is – is this how you regard data, is it the combination of data that were treated separately before, or is it the amount of data you analyse – or something completely different?

As for Air Liquid France Industrie, the large industry part has been collecting data for about 15 years. The change is mainly on the analystics we are doing with it, the standardization of it and the new tools such as „SIO Predict“ for Predictive Maintenance, „SIO Perform“ to optimize the unit and „SIO Optim“ with the digital twin we are making out of our data already stored within our servers.

According to press articles, Air Liquide uses the SIOs to run operations remotely and is, among other things, using predictive maintenance methods. What is the relation between the remote centers and the engineers on site – do they have different roles?

As for Air Liquide France Industrie, the distribution of roles on plants were as follows: Plant manager / Production supervisor / Technicians. Now it is as follows: Plant manager / Foreman / Technicians. The plant is focused on  the safety on plant, equipment availability, maintenance and regulatory compliance while at the SIO Center we are taking care of the production optimization, predictive maintenance, customer service and billing for all plants.

Information and registration: https://dechema.de/BigData.html

Thanks to predictive maintenance, we are able to detect the risk of failure of equipment and we discuss with plant people about the best calendar to check the equipment or/and plan a maintenance on it without disturbance for our customer; we are complementary on our mission regarding this subject as the plants still have local expertise on all maintenance subject matter.

As for SIO Optim and Perform, we have tools providing us with the best configuration for our plants; using SIO Drive we are able to apply proposed solutions remotely. But we are still communicating a lot with the plant to ensure that the proposed solution is feasible (no limitation on the water cooling system, equipment availability,…) and for sure we need to unify both SIO Center and plants in a joint team. Explaining the actions done on either side is mandatory to achive the goal of SIO. An e-logbook has been developed regarding that last subject.

You also use big data methods to predict the needs of your customers. How much integration of data and knowledge with your customers’ operations is necessary for this?

Using statistical computing tools such as R we are able to forecast the liquid and gas demand of our customer enabling to plan their consumption. They are also providing us with forecasts of their consumption by mail and by phone.

What do you personally perceive as the biggest opportunity in this whole range of big data applications – more the operative part, more the business part, or is Air Liquide maybe even introducing new business models based on digitalization?

Personnally I think all of this is a big opportunity to make excellent solutions developed by Air Liquide’s experts accessible and easy to implement to the Group. Using those tools we are giving a real legacy to all the work already done.

If you want to learn more about the digital transformation at Air Liquide, meet Moussa Diakhité (and many other experts) at the DECHEMA-PRAXISforum Big Data Analytics in the Process Industry on 9-10 April 2019 in Frankfurt. Last-minute registration is possible on site!

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