White Paper n°1: Get the keys to guide you towards Industry 4.0
The decarbonization of industry appears today as a major issue, both for economic, geopolitical and environmental reasons. Energy renovation, use of renewable energies… what are the actions to be implemented to achieve this? How can manufacturers get support today?
To help you in this transition, we have written the Dametis White Paper, in 3 chapters, so that you get the keys to guide you towards industry 4.0!
The drafting of this White Paper was possible thanks to Dametis experts:
Julian Aristizabal
Co-founder, CEO
Jeremy Barrais
Product Manager
Nicolas Duran
Co-founder CTO
Sebastien Papouin
Technical Director
Cyril Quemeneur
Energy Engineer
Table of contents
> Chapter 1 – Data and human expertise, at the heart of your decarbonization strategy
I. Memory and environmental intelligence (vs. memory and energy intelligence)
II. Environmental expertise in software (vs expert brains…)
III. 4.0 artisans of environmental data (vs energy data)
> Chapter 2 – A collaborative platform for environmental optimization: a must for your transition
I. Sustain performance over the long term
II. A global low or zero carbon project
III. Impact on ESG reporting (Environmental, Social, Governance criteria)
> Chapter 3 – Manage energy: a few concrete cases to know where to start!
Chapter 1: move towards industry 4.0 – data and human expertise, at the heart of your decarbonization strategy
I. Memory and environmental intelligence
• An “energy memory” already outsourced
• Limits of Excel tables
Julian Aristizabal, CEO of Dametis: “Today, many industrial sites manage their energy with simple Excel tables. This involves time-consuming and hazardous data recovery work – during tours5 of the factory, which in the absence of automated transmission can represent 30 minutes or even an hour per day – then integration, a lot of copying and pasting, rewriting errors, a stack of versions created by different users... This method takes away precious time to reflect on this data (which is in any case incomplete and unreliable compared to that which would be reported by a good EMS). "
• Humans and AI together in the face of the ecological challenge
A software measuring the environmental performance is therefore (among other things) a new factory memory. When this software is sufficiently sophisticated, the data in it is correct, tidy and easy to access, contextualized and non-redundant. The particularity is that this memory can be mobilized simultaneously by two categories of brains: human and algorithmic. If we have to worry that in general, in our societies, “the computer comes to represent an ideal in the light of which real thought perversely ends up appearing deficient” (Matthew B. Crawford)6, however, it must be recognized that the human mind cannot meet the challenge of energy saving in industry alone.
• "Environment" conductor software in the factory of the future
Already essential in current factories wishing to move towards the “minimum attainable energy” (MEA), software will gain in importance over the growing automation of production sites.
“Programmable machine tools, welding and painting robots, remote-controlled trucks, handling and assembly automatons have long been part of the factory and the storage warehouse, recalls Charles-Édouard Bouée in his book Confucius and automata ( ed. Grasset, 2014)7
.
But the new generation of this equipment will be nothing like the previous ones, because they will acquire more and more intelligence and, thanks to the Internet, they will be able to connect and communicate with each other. »
In Industry 4.0, environmental performance software will be the conductors of the ecological challenge in this “new cyber-physical reality”.
• The human remains essential
Julian Aristizabal, CEO of Dametis:
“The software is based on human-machine collaboration. Because in a factory, we always end up being confronted with exceptional situations, which require us to go through the human again. Software does not create expertise, it works from human expertise written in algorithmic form. There are also things it cannot do, such as (re)calibrating sensors8 – which inevitably drift over time, in other words the zero shifts and the data reported is false. »
II. Environmental expertise in software
• “Expert systems” at the service of manufacturers
“An expert system is an artificial intelligence (AI) computer tool, designed to simulate the know-how of a specialist, in a precise and well-defined field, thanks to the exploitation of a certain amount of knowledge provided explicitly by experts in the field. »
• Challenge factories with regard to the best global performance
In addition, the expertise provided must be sufficiently rich to integrate the best environmental scores (energy among others) at the global level, updated, all industries combined.
Le EMS software can thus challenge utilities and processes by comparing them to the best performances in the world. Of course, there is no pre-made reference framework that simply needs to be “poured” into the software… This data must come from cumulative field experience (factory visits and audits, implementation and monitoring of plans). measurement…) of the company providing the software, supplemented by specialized documentary research.
• Users of an EMS can increase their energy skills
Generally speaking, “software must allow user autonomy – particularly in France where we see fairly strong technical maturity, with very qualified operators – by being flexible and open. » (Julian Aristizabal, CEO of Dametis).
Our users, who invest themselves in using the software, continually increase their level of skills and gain autonomy on the topic of environmental performance.
III. 4.0 artisans of environmental data
And as a cabinetmaker studies his wood before working it – is it robust, irregular, knotty…? -, software must “understand” its material (the data) before doing anything with it. Is the data incorrect (sensor drift, configuration error, etc.) or correct?
• Reflect factory life and remove “technical debt”
“I have visited factories in which the software data was so disconnected from reality that the tool had become unusable”, underlines Julian Aristizabal, CEO of Dametis. These technical debts concern, to varying degrees, 90% of the software I encounter.
What some software designers forget is that manufacturers spend their time looking for solutions to concrete problems, and therefore modifying their installations. Software must reflect reality and take into account the most minor changes which, put together, over the months, shape the factory. »
• Examples of daily changes to take into account
A tap to interconnect two cold networks will change the performance of the two networks, an automation engineer can easily change an addressing to optimize communication between two automatons. Intelligent software must be able to follow these developments.
Would you like to obtain and read the rest of the White Paper in order to obtain all the keys to guide you towards Industry 4.0?
Fill out the form below ↓