Brewing Industry 4.0

Beer production

mediumThis post was originally published by Ankur Napa at Medium [AI]

The modern brewing industry has been well developed for more than 150 years since the introduction of scientific principle and mechanisation. What are the key trends and challenges in brewing? What is the future of brewing industry?

  • Industry 1.0: In the late 1700s, water and steam powered machines were developed to assist workers.
  • Industry 2.0: By the end of the 19th century, electricity had become the brew-house’s primary source of power.
  • Industry 3.0: In the late 1960s, Industry 3.0 leveraged electrical mechanisation with the power of computers and Programmable Logic Controllers (PLCs), enabling automation.
  • Industry 4.0: It is all about smart automation and uses of cyber-physical systems equipped with machine learning algorithms, where machines can often largely govern themselves in many ways by using the Internet of things (IoT). Other features of Industry 4.0 include the use of Artificial Intelligence (AI), robotics, cloud computing, and Big Data mining.

AI brings the promise of genuine human-to-machine interfacing (HMI) to the brewhouse, making it a “smart brewery”. Interoperability, Information Transparency and Technical Assistance are the main features of this smart brewhouse.

  • The Internet of Things (IoT): Interconnected networks of machine devices and vehicles capable of computerised sensing, scanning, and monitoring.
  • Cloud Computing : Offsite network hosting and data backup.
  • Cognitive Computing: Technological platforms employing AI.

In Barley/Hops breeding , AI reads the genome sequencing of Barley/Hops and assists breeders to develop new Barley/Hops varieties that meet brewers’ quality and flavour requirements.

The brewing process will be fully mapped and digital malting architecture will be well developed.

  1. In kilning, malt colour and flavour development profile will be predicted by AI every hour.
  2. AI will assist in mashing by selecting the optimal recipe for a given material and monitoring real-time temperature during mashing and fermentation.
  3. In fermentation, AI will help to predict yeast harvesting time and to predict yeast metabolism and its health.
  4. Filtration process of beer can be optimised and losses can be minimised with help of AI
  5. AI can also help in packaging to minimise the product and packaging material loss.

In customer experience and engagement, AI helps select the most appropriate malts to fulfil brewing requirements.

  1. Brewers feedback from email and text, media, publishing, advertising will be stored in Big Data databases.
  2. Natural language processing (NLP) through artificial intelligence algorithms will be applied in a variety of malting industry segments to improve important enterprise activities, optimise customer service and analyse technical innovation. For example, malt suppliers might implement NLP algorithms to forecast brewers requirements or a new trend in raw material characteristics

The use of Artificial Intelligence and Machine Deep Learning increases the optimisation of processing conditions and increases the predictability of the Smart Brewery. The designs take time to develop, but the likelihood of achieving the customer’s target product quality is greatly enhanced. When combined, the Brewer’s art and the latest science will be indispensable.

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This post was originally published by Ankur Napa at Medium [AI]

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