How does IIoT differ from IoT? What are IIoT’s potential benefits and risks? Get answers to these queries.
How the Rail Industry is Employing Industrial IoT
The infrastructure around the world becomes more connected each day. We can thank the Industrial Internet of Things (IIoT) for this connectedness, which stretches far beyond fitness bands to connecting machines and devices in industries such as transportation, manufacturing, healthcare, and more.
The potential remains high for IIoT, but so are the risks. Let us break down the 3 basics you need to know about Industrial IoT and how it might help your Business 4.0 initiatives.
How IIoT Differs From IoT
Even though IoT focuses on consumer devices, like smartphones and smart appliances, IIoT connects machines and devices in businesses.
In addition, more is at stake with IIoT deployments; system failures and downtime in IIoT can result in life-threatening or high-risk situations, say if a miner’s equipment stopped functioning while on the job, or a distant feeder missed scheduled animal feedings.
IIoT Offers Amazing Potential Benefits
If you are a system or systems administrator, chances are pretty good that you’re tasked with managing a range of servers within your data center. Those servers can range in the services they offer from internet, database, cloud, file sharing, user/directory, etc.
IIoT will ideally automate jobs, optimize digital transformation goals and enable more production, efficiency, communication, and ultimately, solutions.
In terms of environmental sustainability, IIoT attracts an increase of applications for smart cities, smart farming, and smart factories. Expect to find out more energy consumption optimization as electricity companies use smart metering and smart grids. Remote health monitoring and equipment maintenance will enhance healthcare.
Goods and transportation tracking and related logistics for freight transportation are made possible as a result of IIoT. IIoT is also utilized in security, government, aviation, defense, facility management, and much more.
IIoT Deployments Pose Huge Hurdles
Any new way of thinking and new technologies poses challenges, and IIoT is no exception. For IIoT deployments to work, businesses must buy-in to high up-front prices for new hardware, software, and equipment and ensure smooth data integration with their legacy technologies. Industries should also employ workers with a skill set that includes expertise in machine learning and data science.
A lack of standardization is also a concern, and just like IoT, IIoT introduces several security vulnerabilities, which companies must prepare for ahead of implementation.