Have you watched Charlie Chaplin’s 1936 film “The Modern Times?” It’s a movie that portrayed how industrial automation has impacted the nook-and-corner of every industry. Even though automated eating machines haven’t found a common place yet (At least in 2022), right from the smartphone to heartbeat monitoring machine, automation has found an unbeatable place in today’s world.
Apart from our daily life, we have seen a glimpse of automation for industrial purposes. Combined with automation, we have sensors to automatically track metrics such as temperature, pressure, humidity, and vibration.
The age of IIoT and Cloud
Welcome to the age of the Industrial Internet of Things (IIoT), an extension of the Internet of Things! We are in an age where we can access previously unreachable data, hidden behind rigid data streams. Be it plant assets or equipment, you can connect anything, and access the data anytime, anywhere through Cloud. Every stakeholder, from CEO to marketing professionals would be in a position to get a complete operational view.
Technological development is rising day by day. On a daily basis, we create 2.5 quintillion data bytes on average. As we know, the roots from where the information originates might not constrain itself to a single platform. It might extend up to a number of systems needing to feed into the digital sensors activated in the machines, plants and equipment.
In a couple of years, we can see IIoT and Cloud revolutionizing the way we know industries so far.
Top applications of IIoT and Cloud
Before we begin, let’s explore how IIoT and Cloud technology has been employed in various industries:
Industrial Manufacturing: The Industrial Internet of Things (IIoT) leverages intelligent devices and sensors to leverage them on the manufacturing floor directly.
This can help you collect data and store it on the cloud platform for providing and gathering information from predictive analytics and artificial intelligence systems. Many manufacturers are making use of IoT assets to merge systems and machines. This paves the way for better asset monitoring in real-time. All these would sum up in sustained inventory, improved logistics and fewer quality-related issues.
With IIoT, you can get clear insights on assets, facility processes and resource usage. Through better knowledge on environmental conditions related to humidity, contamination and temperature, you can remotely monitor assets and processes for optimized and data-driven maintenance decisions.
This enables maximized utilization of resources and assets in hand with advanced options in inspection cost-cutting, curbing production and insurance loss, energy savings and safety.
IIoT allows you to use robots simultaneously with humans. Get real-time info for informed business decisions. There is a forecast by ResearchandMarkets stating that cloud robotics can influence teleoperation where you control machines from faraway distances with the advent of 5G.
IIoT for transportation would involve networking various objects in the form of actuators, sensors and similar devices to access data and transmit them through the cloud, to facilitate real-time events. The world has witnessed significant projects such as smart city and automated traffic management through IIoT and Cloud. With an intelligent supply chain, you can get secured and efficient supply chain processes by tracking connected vehicles such as parcels and trolleys.
Mining: Collection of real-time data and equipment and environmental data analysis can revamp the mining industry completely.
The majority of the mining companies have become a fan of IIoT for improving workplace safety. With cloud-enabled logistics, mining companies would be in a position to manage inventories and sales contracts, while determining the real-time costs and producing less human error. With remote monitoring functions, you can optimize routes and make sure that your track would depart with the exact weight for simplified fuel consumption.
It was believed that by the end of 2022, we can create and process 50% of enterprise-generated data outside the cloud or the data center. When you send the most vital and less time-sensitive info to the cloud, edge computing would reduce the burden imposed by the cloud while bringing down the costs. One such example is wastewater treatment where you need to depend on a huge quantity of energy and chemicals. If not done intuitively, this can lead to heavy penalisation. When you collect a huge volume of data through sensors, you can identify the bottlenecks through advanced analytics. This can eventually lead to solving the problems and avoiding potential legal threats.
What’s the future of IIoT and Cloud?
As per Industrial Internet Consortium (IIC), nearly 70% of top-level IT executives believe in the facility of data correlation from various connected sources into a simplified data model. This is known to be the best benefit that IIoT has offered so far.
With the expansion of IIoT, data generation expands. Every organization has to look for efficient cloud options for real-time analytics and cost-friendly storage options. In the near future, cloud storage options would allow organizations to get rid of lag time and delays. This would increase safety and reduce production-related troubles. Every company would be in a position to afford more scalable solutions in terms of supply chain management and demand forecasting. With machine learning, data analytics and deep learning, we can capture information far and beyond what we know so far.