Evonik is introducing the first digital lab assistant for the coatings industry – COATINO.
Head of the Coating Additives Business Line at Evonik Dr. Gaetano Blanda wants to turn voice-controlled digital assistants from simple helpers for daily life into chemistry experts and use them in a place where a comprehensive amount of specialized knowledge is needed and a technical language is spoken: the laboratory.
His team specializes in formulations for the coatings industry and the associated additives. To exactly meet the customers’ wishes for color, gloss, and durability, the experts have to create complex mixtures in the lab which they supplement with the right additives. Thousands of combinations are possible.
The idea for COATINO was born during a strategy meeting at Coating Additives.
“We talked about new ways in which business could develop,” says Dr. Oliver Kröhl, head of the Strategic Business Area Development at Coating Additives and the project’s manager. “Innovations are no longer just limited to finished products or processes. Instead, you need to demonstrate your ability to come up with solutions in the form of new services and business models.”
The researchers focused on everyday challenges for the formulation of coatings and paints and soon decided that they could use a voice-controlled digital formulation assistant.
The scientists coated an empty can of paint in the company’s colors. They then put it into the laboratory, where they filmed a discussion between a colleague and the can. In the video, the user asked the can about a suitable waterborne anti-foaming agent for a wood coating. The can gave its reply, provided the lab employee with a selection of products, and ordered a sample.
“Back then, the questions were answered by a colleague who stood behind a wall,” Kröhl said. “Although this was rather ad hoc, we wanted to tangibly test our idea with customers and quickly get feedback.”
The video was shared with several customers and the team also conducted structured interviews.
“We’re experts for paints and coatings, but not for voice-controlled assistants,” Kröhl said. “That’s why we knew that the project might not work. However, we and our customers thought it had such great potential that we were willing to take the risk.” The aim was to develop a prototype assistant in time for the European Coating Show.
This was no easy task because conventional voice-recognition systems were unable to handle the specialist vocabulary.
“The usual assistants simply can’t understand our language,” Kröhl said. "They quickly reach their limits when you ask them about dispersion, rheology or silicone resins, for example, and they can, at best, only supply general information."
The high-throughput experimentation unit for the testing of coating recipes at the Coating Additives Business Line provides an important pool of data for the coating industry’s digital assistant. This unit, which is housed at Evonik’s Goldschmidtstrasse location in Essen, doses raw materials, formulates them to create coatings and characterizes the finished coatings. All of this runs fully automatically according to a precisely defined program that can be reproduced at any time.
As a result, the unit can formulate an average of 120 samples in 24 hours. The results can be called up and reproduced at any time. If this data is linked with COATINO, customers will receive daily updated data about individual coating formulations.
“They have to be able to do a lot more in order to formulate a coating,” Kröhl said. “If they don’t know the components’ properties and how they interact, they won’t be any help in the laboratory.”
Paints, lacquers, and other coatings basically consist of four components: solvents, binders, pigments, and additives. A solvent keeps a wall paint in a liquid state, for example. The solvent evaporates after the paint is applied, causing it to dry. Pigments give the paint the desired color. Binders are used to ensure the paint remains attached to the wall and is effective. This component is colorless and bonds the paint with the substrate. Additives make up the smallest percentage of a formulation. Although their share is less than five percent, they nevertheless play a key role. Additives eliminate foam when paint is applied. They also prevent the paint’s pigments from agglutinating. They make coatings thixotropic, i. e. they make them easy to apply, but prevent them from forming runs when they dry on vertical surfaces. Other additives make coatings more scratch-resistant, for example.
The various components influence each other’s effects, depending on the mixture. The number of possible combinations is immense. Even if only 10 curing agents, 10 binders, 10 pigments, and 10 additives are considered during the development of a coating recipe, these numbers translate into 10,000 possible combinations. And this doesn’t even take into account variations in the ratios of the components used.
“Customers have very precise ideas about the capabilities that a product should have once it’s finished,” Blanda said.
To develop a functional voice-controlled assistant for the coatings industry, the researchers at first began to structure all of the available information and feed it into a huge database. In the next step, they made it possible to call up this information using a voice-control function.
COATINO had to learn that “additive” designates a certain category of coating components. In the next step, the assistant has to access its data, search through it, create suitable links, and assign the data to a possibly relevant result. To do so, it first breaks down the sequence of sounds into their smallest components and conducts a data search based on characteristic properties. A special challenge for the assistant is that COATINO has to be able to understand not only German nouns in the nominative case but also in other cases. The researchers also want to make sure that the speaker’s dialect or accent won’t hamper the result. The ultimate aim is to enable COATINO to understand customers’ pronunciations worldwide.
Added to these challenges are the speakers’ different talking speeds and pitches as well as the specific context of a discussion.
“The training process is very nerve-wracking,” Kröhl said. “And after the trial run with our colleague in Shanghai was finally successful, it went wrong with our colleagues in Essen.”
For almost two years now, COATINO has been jointly developed and trained by the business line and an external development company
from Berlin. The assistant passed its first important development test when the prototype was demonstrated at the ECS.
When asked about suitable additives, it not only presents a list of products but also prioritizes them.
“COATINO can tell me which additive would be best suited for my formulation and my requirements. It can thus give me well-founded recommendations,” Blanda said.
Once a user has found the desired product, he or she can issue a voice command to tell COATINO to order a sample, directly call up the pertinent technical datasheet by e-mail or have a conversation with an expert arranged.
The COATINO prototype was ready just in time for the start of the European Coating Show.
“We immediately presented it to a select group of our customers,” said Blanda.
Instead of a can, the users imparted their wishes to a tablet via a microphone.
“The feedback was even better than we’d hoped. We were able to gain some of the customers as first users who will test the assistant," Blanda said. “We wanted to get the customers involved at an early stage. Such a project can only work if customers also think it benefits them.”
In 2020 the researchers plan to make COATINO available to the entire coatings industry.
“When you use digital assistants, you continually come up with ideas for new features,” said Kröhl.
For example, COATINO could conceivably not only supply existing formulations but also suggest its own new mixtures. The scientists could directly test these mixtures in the lab and enhance them for their own use.
“Our COATINO might one day become an artificially intelligent entity,” said Blanda. “But we still have a long, long way to go until then.”
