IoT and IIoT
New technologies are causing huge waves in the industrial sector, enabling organizations to dramatically improve their access to data to connect people, organizations, and technologies.
These new technologies are enabling organizations to remotely access factory, production, and industrial equipment data directly. No technology has been more disruptive in recent years than the Internet of Things (IoT). IoT refers to a network of intelligently created physical objects, with electronics, sensors, software, and networking, that enable these objects to collect and exchange data.
Now, IIoT, which stands for Industrial Internet of Things, is a similar concept. Both have the common feature of smart connected devices. The difference is how they are used. While IoT is typically used by consumers or end-users, IIoT is used for industrial purposes such as manufacturing, monitoring, and supply chain management.
If we compare the two, it is clear that IIoT uses more sophisticated devices to make good use of the existing production and supply chain monitoring. Their goal is to provide more accurate data to enable machine-to-machine automation accurately and securely.
On the other hand, the main purpose of IoT is to use smart devices to help improve the lives of consumers. Making life more convenient is what the internet of things aims to solve.
Now that we have a clear understanding of what industrial IoT means, let’s have a look in which domains these technologies are used.
IoT (Internet of Things)
IoT means Internet of Things. This is representative of the connection with the superior ability to increase efficiency, influence, save time and costs for organizations. Sensitive connections from devices in the enterprise without human intervention are the highlight that IoT brings to your company.
IoT technology will provide better quality insights to all parts of the business. From the supply of raw materials to inventory control, asset information to assess and prepare for maintenance work, improve the quality of goods in production, and closely monitor the delivery of goods. and a fleet of delivery vehicles, ensuring the quality of customer service experience, etc. Cloud-based IoT applications also allow organizations and businesses to directly access external and internal data in real-time, making decisions faster.
IIoT (Industrial Internet of Things)
IIoT is the Industrial Internet of Things. This is a network of smart devices with their computing capabilities, connected to industry-level data collection, monitoring, exchange, and analysis systems. The main focus of IIoT is on industrial applications such as manufacturing, power plants, agriculture, oil, and gas.
Industrial Internet of Things is a part or can be said to be a subset of Internet of Things, i.e. IIoT under IoT mainly focused on industrial applications. Smart devices play an important role in IIoT, helping to communicate important information in a better way and analyze and capture data in real-time. Using IIoT, business decisions can be made more quickly and accurately. IIoT also helps companies grow by understanding business processes in a better way and making them more efficient.
Difference between IIOT and IOT :
Main technologies of IIoT
IIOT depends on many technologies but key technologies mainly include Artificial Intelligence, Cybersecurity, Cloud Computing, Edge Computing, and Data Mining.
a . Artificial intelligence (AI) and machine learning (ML)
Artificial intelligence (AI) and machine learning (ML) are fields within computer science.
AI is where intelligent machines are developed and respond just like humans. ML is machine learning that is part of AI prediction and gives more accurate results without programming.
b . Cybersecurity technology
Cybersecurity technology has become an important foundation for IoT and IIoT allowing disconnected machines to physically connect and communicate in a secure manner.
c . Cloud computing
Cloud computing is essentially using IT services and files being uploaded and downloaded from Internet-based servers rather than using local extranet-connected servers.
d . Edge computing
Edge computing is a distributed computing model that brings data storage to the right places more accessible and optimized for sensors, industrial computers, and devices that are part of an IIoT system. use data to make processing faster.
e . Data Mining
Data mining and analysis is the collation and examination of large amounts of stored data from different parts of an enterprise.
Applications of Iot:
1. Smart Homes
One of the best and the most practical applications of IoT, smart homes really take both, convenience and home security, to the next level. Smart home devices collect and share information with one another in an integrated platform and automate their actions based on the owner’s preference. There are many IoT use cases related to Smart home appliances, but one of them can be Smart Thermostats, which monitor and control home temperatures to the comfort of the owner. There is smart lighting as well where the lighting adjusts themselves based on the user preference as well as external lighting.
2. Smart City
Not just internet access to people in a city but to the devices in it as well — that’s what smart cities are supposed to be made of. Efforts are being made to incorporate connected technology into infrastructural requirements and some vital concerns like Traffic Management, Waste Management, Water Distribution, Electricity Management, and more.
3. Farming
Farming is one sector that will benefit the most from the Internet of Things. With so many developments happening on tools farmers can use for agriculture, the future is sure promising. Tools are being developed for understanding crop patterns, Water Distribution, drones for Farm Surveillance, and more. IoT applications can result in precision farming — that is, use of analytical data to understand soil moisture level, climatic changes, plant requirement, etc, and thus boost yield as well as encourage efficient use of resources.
4. Health Care
The use of IoT in the healthcare sector can redefine healthcare as a whole. Patients already have access to several forms of wearables like fitness bands and blood pressure monitors to help with their health.
There are also alert mechanisms put in these devices to notify doctors or family members in the case of emergencies. For physicians, it is quite easy to get into the history of a patient through the IoT device and access real-time health data easily. Real-time health data can also be used to increase the efficiency of clinical trials.
Applications of IIoT :
1. Predictive maintenance
Predictive maintenance means using multiple sensors to collect data on a machine and then using data analytics and machine learning to determine exactly when a machine will need maintenance. That way, the maintenance work will not be too late leading to machine failure and not too early, leading to unreasonable resource allocation.
2. Quality control
Another entry among the most important IIoT applications is the ability to monitor the quality of manufactured products at any stage. The information is vital when studying the efficiency of the company and applying the necessary changes in case failures are detected, with the purpose of optimizing the processes and promptly detect issues in the production chain. It has also been proven that it is essential to prevent risks in more delicate industries, such as pharmaceutics or food.
3. Supply chain optimization
Among the Industrial IoT applications aimed at achieving a higher efficiency, we can find the ability to have real time in-transit information regarding the status of a company’s supply chain. This allows for the detection of various hidden opportunities for improvement or pinpointing the issues that are hindering processes, making them inefficient or unprofitable.
4. Automated and remote equipment management and monitoring
One of the main IIoT applications is related to the automated management of equipment, allowing a centralized system to control and monitor all company processes. This ability to remotely control equipment via digital machines and software also implies that it is possible to control several plants located at different geographic locations.
Barriers
Two of the biggest hurdles are security and interoperability. Bringing physical systems online has many benefits, but it also means that those systems can be compromised. Cyber attacks become scary when they can allow remote control or damage physical systems.
To collect data from sensors and make it useful, everything in the system needs to work together. Lack of interoperability and lack of standards between IoT sensors, devices, connections, and communication protocols can hinder the process of connecting things.
The Future of IIoT
In the future, while Internet of Things (IoT) will continue to convenience us, industrial IoT will seamlessly regulate entire supply chains. The potential of this technology is monumental, which is why it’s essential for industrial leaders to monitor how IIoT is reinventing the industry.
Businesses that have implemented IIoT have experienced significant improvements in safety, efficiency, profitability, and expect the trend to be continued. More and more businesses will deploy IIoT.
The Industrial Internet of Things will enable the creation of new business models by improving productivity, harnessing analytics to innovate, and transforming the workforce. It is predicted that the growth potential of implementing IIoT will generate $15 trillion by 2030 global GDP.
Conclusion
One of the biggest benefits of the Industrial Internet of Things is its ability to reduce human error and manual labor. Industrial Internet of Things (IIoT) can massively improve connectivity, efficiency, scalability, time savings and cost savings for industrial and manufacturing organizations. The ability to collect data, analyze it, and then take appropriate actions based on the results is essentially all that IoT does, whether for consumer or industrial purposes. The goal of IIoT is also not to completely replace human work, its goal is to enhance and optimize it.
References
https://www.youtube.com/watch?v=HmbUJEShA-8&ab_channel=RealPars
https://en.wikipedia.org/wiki/Industrial_internet_of_things
https://www.plex.com/products/analytics-and-industrial-iot/what-is-iiot
Thank You!
Regards…
Amitesh Patil
Kshitij Patil
Pranit Patil
Vivek Pundkar
