- \n
![\"\"](\"https:\/\/www.yokogawa.com\/eu\/blog\/app\/uploads\/sites\/8\/2022\/06\/IT2-300x187.png\")
a chatbot, able to query the system via text commands (Fig. 2) \u00e0 https:\/\/t.me\/IIOT_sushi_cloud_bot<\/a><\/li>\n<\/ul>\n![\"\"](\"https:\/\/www.yokogawa.com\/eu\/blog\/app\/uploads\/sites\/8\/2022\/06\/IT3-300x117.png\")
Even more interesting is the integration of notifications coming from predictive anomaly detection and alarms managed by the GA10. The dashboard presents a warning light and a notification to warn us of any critical issues, while the chatbot allows us to receive messages directly on our mobile phone, in order to reach anyone: even the maintenance operator having a coffee break who, alerted, can immediately retrieve the data related to the system which is performing poorly (Fig. 3).<\/p>\n![\"\"](\"https:\/\/www.yokogawa.com\/eu\/blog\/app\/uploads\/sites\/8\/2022\/06\/IT4-300x145.png\")
Predictive maintenance is important for several reasons.<\/p>\nPredictive maintenance, a growing market<\/h2>\n
As of today, predictive maintenance solutions are flourishing at a very fast rate. By a quick search on the internet you can find the most disparate solutions, coming not only from the companies that are historically active in the Operation Technology (OT), but also from those that operate in the Information Technology (IT). This is a clear evidence that these two worlds are converging to adapt to our new way of living, ever more digital and interconnected, even more so as a consequence of the pandemic. New technologies are not only the drivers but also the key to address new important issues such as the aging of the working population and sustainability, with all its implications, including new strict environmental rules, such as emissions regulation. Moreover, the growth of technology markets such as IIOT, wireless, artificial intelligence is a tangible proof of this process.<\/p>\n
Digital transformation (DX)<\/h2>\n
![\"\"](\"https:\/\/www.yokogawa.com\/eu\/blog\/app\/uploads\/sites\/8\/2022\/06\/IT5-300x300.png\")
Fig.4: Digital transformation<\/figcaption><\/figure>\n It is therefore inevitable to foresee a transformation for plants and factories: they will very likely come to life to become our Nr. 1 employee. Let\u2019s think about it for a moment: sensors are equipping systems with the five human senses, the cloud and communication protocols provide a memory to store data and the ability to interact with us. The last piece of the puzzle is Artificial Intelligence (AI). We give a brain to our factory so that it can act independently, evaluating the external conditions, thus exponentially increasing its efficiency (Fig. 4). Nevertheless, this evolutionary process is difficult and delicate, especially if you try to manage it on your own. If we don’t want to end up in a Mary Shelley\u2019s novel and deal with a monster, a digital Frankenstein instead of our best employee, we must rely on a trusted partner: Yokogawa is the best candidate.<\/p>\n
Yokogawa IA2IA<\/h2>\n
Yokogawa has made \u201cdigital transformation\u201d a corporate priority. In fact, it has already published a guideline to outline in detail every step of this long journey called IA2IA, aimed at taking us from Industrial Automation to Industrial Autonomy (Fig. 5). Since well over a century, Yokogawa has been looking straight into the future and was in the front line already during the previous great revolution that affected economy, business and also the manufacturing world since the \u201880s, leading to the “digitization\u201d of data due to introduction of PCs. Not surprisingly, Yokogawa is one of the 100 most sustainable companies in the world.<\/p>\n
![\"\"](\"https:\/\/www.yokogawa.com\/eu\/blog\/app\/uploads\/sites\/8\/2022\/06\/IT6-300x241.png\")
Fig.5: IA2IA of Yokogawa<\/figcaption><\/figure>\n Benefits of predictive maintenance<\/h2>\n
It appears evident that predictive maintenance, that is to say prevention or detection of malfunctionings before they escalate, is a pillar of this journey toward digital transformation. Predictive maintenance stands alongside the process (Fig. 6), it does not overturn it, entailing fewer risks and bringing several immediate benefits<\/p>\n
![\"\"](\"https:\/\/www.yokogawa.com\/eu\/blog\/app\/uploads\/sites\/8\/2022\/06\/Ita-300x216.jpg\")
<\/p>\n- \n
- becoming familiar with technologies and concepts related to digital transformation. Ideas and methods that can then be easily implemented in all departments of the company<\/li>\n
- real and tangible economic benefits.<\/li>\n<\/ul>\n
If we consider that an efficient maintenance:<\/p>\n
- \n
- reduces, if not eliminates, unexpected plant shutdowns<\/li>\n
- reduces maintenance downtime<\/li>\n
- reduces spare parts that need to be kept on stock<\/li>\n<\/ul>\n
it is easy to understand how this solution leads us to cost optimization and a subsequent maximization of profits. Another interesting aspect is related to safety: systems which are not perfectly maintained can constitute a danger to the safety of operators who, at times, risk their lives due to deficiencies in controls. Maximizing safety is a fundamental aspect for any company and it brings an indirect economic return. Last consideration: in a time of global pandemic, the ability to remotely monitor our plants, from anywhere, 24\/7, is an unparalleled advantage.<\/p>\n
Conclusions<\/h2>\n
Yokogawa offers predictive maintenance solutions that integrate artificial intelligence. If you are interested and would like to know more about them, download our \u201cAI Product Solution Book\u201d<\/strong><\/a>. Otherwise, please contact your local Yokogawa partner or write to us via the contact form.<\/p>\n
\nReal-time, Model Based Digital Twin for Energy and Emissions Management<\/a><\/p><\/blockquote>\n