#The Industrial Revolution with #IoT #IIoT
Trillion-dollar projections on the growing size of the market are encouraging organizations to gain by the Modern IoT [IIoT]. For some, be that as it may, it stays indistinct how businesses ought to apply IIoT to start making the hyper-productive and lithe manufacturing plant without bounds a reality.
As the Fourth Industrial Revolution transforms manufacturing and material handling, enterprises continue to look for ways to create value from converging technologies. But what are the steps that companies need to take to put together an effective agenda of action?
We finds it essential that the implementation of the industrial internet is incorporated into the company’s strategy and business development.
In other words, chief executives must embrace change. In order to advance decision-making on the correct level, CEOs must be included from the very beginning, possibly as the initiative main sponsor. IT officers alone cannot drive real digital transformation
I would advise manufacturers to initiate the transformation by defining a specific set of goals, to be assessed and validated initially on a pilot project, before the implementation at scale of an end-to-end Industrial IoT solution.
The next step is to deploy an industrial internet pilot in one facility, or on a specific production line, which will be used as a case study for learning how IoT works in this particular industrial environment. The pilot facility is then reworked and developed according to observations. After the test phase, it is easy for a company to apply the same principles, with proper adjustments, at scale to other facilities.
I would use the concept of flexible infrastructure to refer to how transformation can be simpler in certain contexts. It is easier to justify large investments in industrial internet in environments where industrial internet is incorporated into production by transitioning directly to automated, advanced IIoT environments. The transition phase is less complicated when the existing infrastructure is light, because there are fewer things that must be accounted for in applying new solutions.
A case in point is Oman, where the internet infrastructure is now top of the class. The Oman infrastructure was created rather recently compared to more affluent GCC countries, and therefore, the entire web is more modern than that in Saudi, for example.
Industrial internet in practice. The applications of Industrial IoT are already a reality. According to me, there are dozens of different use cases of IIoT in enterprises. Companies are already developing IoT applications that work, and they have started making a difference. For example, transportation and warehousing benefit from automated vehicles and asset tracking. In manufacturing, predictive maintenance [PdM] and asset performance management [APM] are key areas where industrial internet boosts value creation. Today IIoT coupled with AI or ML turns maintenance into a dynamic, rapid and automated task.”
Predictive maintenance keeps assets up and running, decreasing operational costs and saving companies millions of dollars. Data from IIoT-enabled systems – sensors, cameras, and data analytics enabled by powerful artificial intelligence (AI) or machine learning (ML) algorithms – helps to better plan maintenance, allowing manufacturers to service equipment before problems occur. Data streaming from sensors and devices can be used to quickly assess current conditions, recognize warning signs, deliver alerts and automatically trigger appropriate maintenance processes. IIoT coupled with AI or ML thus turns maintenance into a dynamic, rapid and automated task.
In-fact, other potential advantages include increased equipment lifetime, increased plant safety and fewer accidents with a negative impact on the environment
The importance of Analytics. Companies have been proactive in moving the processing of IIoT to cloud services. However, in his opinion, it is not necessarily a wise move to have everything in the cloud. During critical stages of the manufacturing process it is crucial that decisions can be made instantaneously. Here, manufacturers can benefit from analytics.
These systems enables real-time analytics and an approach to data collection and analysis where automated analytical computation is performed on data at a sensor, network switch or another device instead of waiting for the data to be sent back to a centralized data store.
IIoT can be certainly compliment with open-source computer hardware and software applications that allow some of the processing to take place on site, at the edge of the network and near the source of the data. It can certainly be a preferable option for the cloud in terms of security, as proprietary data is kept within the company firewall. Moreover, It becomes vital when you need real-time analysis and automated action to save critical-mission production lines or facilities from potential heavy damages. Creating value with Industrial IoT...