Industrial Internet of Things (IIoT)

 

What is Industrial Internet of Things (IIoT)?

Industrial IoT, or the Industrial Internet of Things (IIoT), is a vital element of Industry 4.0. IIoT harnesses the power of smart machines and real-time analysis to make better use of the data that industrial machines have been churning out for years. The principal driver of IIoT is smart machines, for two reasons. The first is that smart machines capture and analyze data in real-time, which humans cannot. The second is that smart machines communicate their findings in a manner that is simple and fast, enabling faster and more accurate business decisions.

IIoT is used across a range of industries from manufacturing, logistics, oil and gas, transportation, mining, aviation, energy, and more. Its focus is to optimize operations--particularly the automation of processes and maintenance. IIoT capabilities enhance asset performance and better manage maintenance. In the long run, it moves the industry toward a demand service model, increases customer intimacy, and creates new revenue streams--which all contributes to the digital transformation of industries.

 

Applications of IIoT

IIoT is a game-changer for any industry in manufacturing that produces physical products or manages product transportation. IIoT can increase operational efficiencies, which in turn paves the way to create completely new business models. It has a range of applications in a cross-section of industries.

Production

Currently production sectors use IIoT technology the most. Smart machines, enabled with IIoT, can self-monitor and anticipate possible production hurdles. This results in lowered downtime and better efficiency.

Supply Chain

While keeping up production numbers is important, smooth delivery across the supply chain is also crucial. With IIoT, orders can automatically replenish stocks when needed. This reduces waste, maintains stock numbers, and makes sure the right amount of raw materials are always available. With the automation of supply chains and ordering, employees can focus on more complex areas of functioning.

Building Management

Most building management issues can be addressed with IIoT technology. Sensor-driven climate control removes all the uncertainty related to managing a building’s internal climate and takes all needed factors into consideration--such as the number of people, ventilation spots, machinery, and more. IIoT enhances building security with smart devices that assess possible threats from any entry points of a building.

Healthcare

Healthcare has embraced smart devices for a long time now. Healthcare professionals can remotely monitor patients and are alerted by any status change. This makes healthcare more precise and personal. In the future, artificial intelligence may be able to assist with diagnoses, enabling doctors to treat patients more accurately and effectively.

Retail

IIoT technology in retail enables quick marketing decisions specific to each store. Companies can update storefronts based on region-specific consumer interests, and they can target audiences with smarter promotions. These data-driven insights make a store stand out from its competition.

Sensors are not new technology as companies have used them to track goods or monitor machines for years. The difference in IIoT is the ability to adopt these changes on a larger scale due to the lowered costs of sensors, comprehensive wiring networks, and big-data analytics.

Globally, manufacturers spend $197 billion yearly on IIoT, according to tech analyst IDC. Transport companies alone have invested around $71 billion in it. Companies are setting aside budgets for IIoT, but how they spend these budgets varies from one company to another, based on their priorities.

How Does IIoT Work and What Are the Benefits?

IoT is a network of smart devices and via networks that are linked to databases. These devices monitor, collect, exchange, and analyze data. A typical IIoT system comprises of:

• Smart equipment that measures, stores, and communicates information
• Public or private internet networks that serve as a data communication structure
• Analytical applications that process raw data into data insights for optimized processes
• Tools that help decision-makers and employees utilize data for better business outcomes

Dataflow is crucial to ensuring that IIoT applications work optimally. To aid dataflows, companies use a databus to distribute and manage real-time data. This technology paves the way for applications and devices to work together as a cohesive unit. While a database manages historical data at rest, a databus manages data in motion.

IIoT streamlines and automates processes, which increases business productivity. It improves operational efficiency, lowers operational costs, and increases income-generation. Better automation levels enhance product quality, and this, combined with efficient operations, assists with predictive maintenance.

With IIoT, the chances of creating new revenue streams is much higher. Data insights can provide information into how an efficiently run operation can resolve little-known inefficiencies to enhance productivity. Performance or usage data leads to newer products or services. For example, manufacturers can work out asset-sharing models with other manufacturers. This resource sharing optimizes space and production capabilities while saving costs. Similarly, IIoT devices can monitor and better manage an HVAC system.

IIoT works on improving productivity and quality, without burdening resources. This helps immensely with business expansion.

Security Considerations and Challenges When Adopting IIoT

The adoption of IIoT can revolutionize industries, but this increased connectivity can create additional security issues. Companies that work with operational technologies understand the importance of worker safety and product quality. But with the integration of operations, the internet, automation, and smart machines, several challenges arise with availability, scalability, and security.

Most industries are well versed in managing availability and scalability since they are crucial to functioning and can easily integrate into an IIoT system. Security is where most organizations tend to falter. Many businesses still utilize legacy systems and processes, and new technologies can complicate integration and end-to-end security.

The increase in smart devices, particularly employee devices used for work, give rise to a plethora of security vulnerabilities. Organizations are responsible for the secure implementation and setup for any connected devices. But device manufacturers also have to prove they can keep devices safe, which is not often the case.

Cyber-security issues are rising. Successful hackers can crack connected systems and potentially shut down operations. To handle these security issues, manufacturing companies need to approach IIoT like any IT company would--with a focus on the security of physical and digital components.

Another challenge with IIoT adoption is securely integrating industrial operations with IT. User data has to be in sync with global privacy regulations. Gathering data is essential to generating essential insights for a company, but personal information needs to be separated and stored in encrypted databases. Storing personal data with business data can lead to serious risks of exposure.

Several other security problems are associated with IIoT. This could be exposed ports, a lack of sufficient authentication practices, or even the use of obsolete applications. All these small problems, in addition to having an internet network, can be dangerous for companies. Unsecured IIoT systems can result in operational disruption and financial losses.

The more connected an environment is, the higher the security risks:

• Software vulnerabilities are easy prey for hackers to attack.
• Devices and systems connected to the internet are publicly searchable.
• Hacking attempts increase, leading to targeted attacks and data loss.
• Operations are disrupted from system manipulation or sabotage attempts.
• System malfunction results in device damage, or worse still, physical damage to employees.
• Extortion attempts resulting from compromised operational technologies.
• Increased fines if private information is made public against regulations.

The last concern is that IoT and IIoT suffer from technology fragmentation, which can lead to inoperable systems if processes are not handled correctly or efficiently.

 

 Resource:

https://www.tibco.com/reference-center/what-is-iiot

 by

M. Rishi

20UCA028