Boom of Industrial IoT

   The industrial internet of things is what, basically?

    The industrial internet of things (IIoT) is the application of smart sensors and actuators to improve industrial and manufacturing processes. IIoT, alternatively known as the industrial internet or Industry 4.0, makes use of the data that "dumb machines" have been producing in industrial settings for years by utilizing smart equipment and real-time analytics.

    The underlying tenet of IIoT is that smart machines are superior than people at both data collection and real-time analysis, as well as at conveying critical information that can be utilised to make choices about the conduct of business more quickly and accurately.

    Connected sensors and actuators enhance business intelligence initiatives by allowing businesses to identify inefficiencies and problems earlier, save time, and money. IIoT has enormous potential for improving supply chain efficiency, supply chain traceability, sustainable and green manufacturing methods, and quality control in particular. The Industrial Internet of Things (IIoT) is essential to activities like Predictive maintenance (PdM), improved field service, energy management, and asset tracking in the industrial sector.

What's new in IIoT

    Even though IoT has been a topic in the industrial sector for a while, there have been significant adjustments to the scope of the IIoT. IoT is specifically making its way farther down the industrial food chain and into locations where smart connected technology has never been used before.

    Using smart, connected technology is undoubtedly nothing new in the industrial sector. It's difficult to recall a moment in the recent past when a factory floor that is automated or semi-automated was not connected to a larger IT infrastructure because process control has been used extensively for decades. Sensing that is carried out manually or automatically, as well as data analytics and action items based on information, are not new concepts. Years before the IoT trends, these technologies existed.

Food Supply: 

    Recent advancements in connected, smart technology for agriculture and the animal industry are boosting agricultural yields and boosting productivity in livestock management. Technologies that monitor and take action in agriculture to assist maintain ideal circumstances for crop growth, pest and disease management, are being developed and applied.

    Similar to this, a rising number of sensors and communication systems are being employed in the management of pigs and cattle. The tracking of animals' health statuses and locations within herds is being done with the help of sensors that are wirelessly connected. Better animal health issues can now be resolved thanks to this, and sick animals may now be kept apart from the herd to prevent contamination.

Process Components:

    With connection, performance monitoring of individual components at the lowest level is beginning. Both process control and analysis of crucial component failure predictions are done using such IoT implementations. Extremely small sensors and low-energy communication are now readily available, enabling low-level monitoring that was previously not done.

Tracking and tracing:

    Tracking and tracing appear to be of the utmost relevance in the present epidemic problem. But prior to the pandemic, a number of new technologies had emerged that allowed for the tracking and tracing of items and persons in retail settings, at trade exhibitions, and in the fields of logistics and transportation.

    All of this is made possible by the extensive usage of active and passive sensors and transmitters, together with the transfer of data into sizable cloud-based systems where analytics may assist in extracting the relevant information. In the end, this data will be transformed into activities that may be carried out and delivered into dashboards, mobile devices, and other machines.

Telemedicine:

    Although this category is not brand-new, the moment for this technology has come. Undoubtedly, telemedicine uses mobile devices, tablets, and computers on the surface. The application cases that will result from this involve integrating augmented reality (AR) overlays with data from IoT-connected sensors from diagnostic and health status equipment.

    While smart linked, wearable technology will once again receive a boost, this has the potential to integrate augmented reality into conventional computing platforms. Smart connected wristbands and possibly a resurgence in interest in head-mounted computing with built-in sensors, cameras, and displays are two examples of how this will manifest.

IIoT: The exponential growth of IoT in the industrial sector

    A mechanism that alerts the owner of an impending breakdown. Field technicians can operate hands-free while remote supervisors guide them through solutions using smart eyewear. Intelligent factory floors that are cloud-connected can acquire real-time information about raw material progress or assembly line production.

    All of these are samples of how future factories will operate. There is little doubt that the Internet of Things is already and will continue to be the single most powerful driving force behind Industry 4.0. According to McKinsey, IoT could have a $6.2 trillion economic impact by 2025. According to IoT Analytics' analysis, manufacturing will be the largest IoT platform segment, reaching $438 million by 2021. According to a Genpact research survey, nearly 81% of firms worldwide believe that successful IIoT deployment is important to future success – even more so for high-tech and large enterprises.

Creating fresh opportunities and places for expansion

    IoT can help enterprises accelerate growth, alter economies, and attain a new level of competitiveness in a variety of ways. Manufacturers may achieve improved efficiencies across the value chain, from operations and services to engineering and product supply, with IIoT.

Predictive maintenance

    Every year, manufacturing units all around the world incur massive losses as a result of malfunctioning machines and equipment, rework, and machine breakdowns. IoT can assist factory owners in predicting a solder or component fault before it occurs. This allows owners to spot a potential problem and take immediate action to rectify it, guaranteeing that there are no faulty parts. 

    As a result, manufacturing time is reduced, there is no repeated work, and the amount of scrap is greatly reduced. Manufacturers can track current machine operational status and receive alerts if there is a chance of failures or unplanned downtime by aggregating real-time data from sensors mounted on machinery and equipment. All of these aspects improve operational efficiencies and contribute in revenue growth.

Enhanced field service

    Companies that have their products and equipment distributed globally, such as elevators or huge healthcare equipment, frequently encounter a hurdle when it comes to after-sales service or troubleshooting. Field service executives from these organizations typically visit various places to troubleshoot or service these pieces of equipment. For more sophisticated difficulties, these field executives or technicians must frequently consult with back-office professionals or resort to technical guidelines or time-consuming repair manuals. By utilizing predictive maintenance solutions, IoT can assist field service executives.

    Field service executives may discover possible problems before they become serious ones, assuring speedy remedies before causing severe disruptions to consumers. Technicians can use smart eyewear to work hands-free and even remotely with back-office professionals. Field technicians can also communicate real-time images and videos, annotate on the shared visuals, and even set up handholding mechanisms with back-office staff, making troubleshooting more efficient and smooth.

Energy management

    It is anticipated that IoT can help manufacturing facilities save up to 20% on energy bills through energy efficiency initiatives. Manufacturing units can use smart metres to track how resources are distributed and consumed, lowering operational costs, reducing thefts, and improving forecasting. Compressors can waste up to 70% of their full power if left on but not used.

    When such wasteful energy use is found, it can be dramatically reduced by remotely managing production assets via connected sensors. Energy management systems can also optimise energy use to reduce CO2 emissions and operating costs in manufacturing.

Asset tracking

    Digital asset management (DAM) is quickly becoming a mainstay of the retail and logistics industries. In reality, the retail industry is predicted to have the biggest market share for asset management systems. DAM provides unprecedented benefits like as real-time asset tracking, increased accountability, and improved asset management, resulting in improved customer service and increased organisational efficiency. Manufacturers, suppliers, and end users may trace the location and status of things, as well as their condition, at each stage – from the time assets leave the warehouse until their final destination.

    If any of the objects are damaged or are in danger of being damaged due to weather conditions, temperature fluctuations, improper handling, or theft, manufacturers and suppliers, as well as customers, receive fast warnings, allowing them to take preventive or immediate action. Inventory management, shelf stocking, check-out process management, and counterfeiting eradication are some of the primary uses of IoT-driven DAM. Between 2016 and 2022, real-time location systems are predicted to grow at the fastest rate.

    IIoT is quickly becoming an irreplaceable technology due to its inherent advantages, which include asset optimization, smart monitoring, predictive maintenance, and, most significantly, intelligent decision-making. IIoT is no longer the "next big thing"—we are well into the IIoT era, which is an amalgamation of various variables like automation, big data, sensor data, machine learning, and M2M communication.

What lies ahead for IIoT?

    IIoT's future is closely related to the "Industry 4.0" movement. In essence, Industry 4.0 represents the fourth Industrial Revolution.

    The first Industrial Revolution, known as Industry 1.0, started in the late 1700s when businesses started using water- or steam-powered machinery for manufacturing. The arrival of electricity and assembly lines sparked the commencement of Industry 2.0 around the turn of the 20th century. Industry 3.0 emerged in the latter decades of the 20th century and was associated with the use of computers in the production process.

    Our current situation is Industry 4.0. The utilisation of linked electronic devices, in particular IIoT devices, is the foundation of Industry 4.0.

    In the future, as businesses work to digitise their supply chains and production lines, IIoT devices will be a key component of digital transformations. Big data analytics will also advance to include IIoT data. Organizations will be able to notice shifting conditions in real time and take appropriate action as a result.