Before the impact of the COVID-19 pandemic, businesses have been taking measures to maintain continuous operations. Effective support solutions on each level of the workflow are now appreciated.
To do this, we need to thank the recent developments in IoT technology to support more flexible, fast and efficient solutions for businesses. From the adoption of artificial intelligence (AI) to an increase in energy efficiency, read on to find out how recent trends in industrial IoT are driving the optimization of manufacturing operations, business how business.
Top 5 prominent trends in industrial IoT
Digital Twins
Digital twin technology is a virtual, digital model of a physical device. This technology enables organizations to benefit from data collected through replicas of real-world products and scenarios in digital form.
By using data obtained from sensors on a given object, this technology can mimic the object’s activity and monitor its state. That means organizations can easily maintain and monitor the performance of the systems and assets that help their workforce grow, resulting in greater overall efficiency.
In addition, digital twin technology can help businesses develop their products. Through the data they collect, they can more effectively predict product performance and develop data-driven solutions to issues that need improvement. This can save businesses the effort and resources needed to test these scenarios on an existing asset. Many industries have been applying digital twin technology to ensure the success of their working activities. An example of this can be seen in manufacturing, as digital twin prototypes allow businesses to schedule equipment maintenance by analyzing and tracking data about their performance. Status information of products and components is also tested using digital models in areas such as the automotive and healthcare industries.
Network connection development
Connectivity is critical to IoT technology, and recent networking developments are leading to faster device-to-device communication. These trends aim to support safe and efficient data processing, even across different networks.
Low-power wide area networking (LPWAN) provides long-distance communication between IoT devices. It is an economical and economical choice for organizations that use a lot of machine-to-machine communication assets.
Satellites can allow IoT devices to communicate between geographically separated networks to connect over longer distances. Devices that support satellite connectivity can be particularly useful in rescue and emergency reporting situations, as these situations can arise where maintaining a normal internet connection would be difficult. .
While industries can benefit more from different connectivity options depending on their needs, speed and reliability should always come first. Using Wi-Fi 6 operating in the 5 GHz band can enable faster communication for IoT devices, and IoT networks will benefit from Wi-Fi 6 in terms of speed, reliability, and bandwidth. larger throughput.
Automated quality assurance and predictive maintenance
Quality assurance in the operation of a business is very important in all industries. Fortunately, industrial IoT technology can enable businesses to monitor and predict the performance of their devices. By conducting predictive analytics with the help of advanced sensors and connectivity, businesses can anticipate potential problems with their machines and address them before they happen. may have a negative impact on their business.
Insights into data collected through IoT technologies also help businesses understand their devices and identify root causes of problems. Plus, with insights from data and performance metrics, businesses can proactively schedule maintenance on their equipment.
Equipment failure can cause unplanned downtime and affect overall productivity. In particular, they will have a negative impact on the efficiency and production quality of an enterprise, especially for enterprises in the manufacturing sector. With industrial IoT solutions, businesses can control and monitor their systems remotely with an automated quality assurance monitoring system.
IoT technology combined with AI (AIoT) also supports businesses through advanced technologies with automated visual inspection capabilities. These features use IoT sensors, cameras, and AI technology to detect anomalies and extract them from the production line. In this way, enterprises can ensure consistent quality in their production and output.
Optimization, sustainability and energy consumption
Optimizing energy use and consumption in industrial operations through IoT can provide more benefits than just saving money. Sourcing sustainable approaches to operations can help build a safer and more productive society, while reducing our environmental impact.
The recent trend towards environmentalism has led to the creation of optimized solutions using IoT technology to transform the industrial landscape. These are also supported by the implementation of efforts to combat environmental and climate change that have called for a change in the way organizations use resources and energy.
Industrial IoT technology can enable businesses to control their energy consumption with intelligent systems to monitor the energy usage of machines. Even heating, ventilation and air conditioning systems can be monitored and managed to help businesses save energy and reduce carbon emissions.
A common theme around “green” IoT systems is the use of technologies to refine many sectors of society, ideally creating a smart city. The concept focuses on reducing CO2 emissions generated in cities by implementing carbon-neutral and energy-efficient systems. The successful adoption of smart systems and energy management powered by IoT can transform the operations of many sectors, such as public transport, public safety, transportation, and even public transport. intelligent street light systems.
IoT technology in the field of manufacturing and agriculture
Manufacturing and agriculture are sectors that frequently use IoT technology in their operations. Through IIoT technologies, businesses in these sectors can optimize many of their operations.
Digital transformation and adoption of IoT resources can make it easier for businesses in the manufacturing and agriculture sectors to develop solutions and applications that serve them. This is made possible by the newly discovered ability to form data-driven decisions that will boost their productivity and help them reduce risk.
These IoT technologies may include previously discussed trends and concepts but are formatted for specific uses for certain industries. For example, systems designed for the manufacturing sector use IoT devices to monitor their production floors. IoT sensors and connected devices can also help agricultural organizations ensure efficiency in their processes by monitoring weather trends and other circumstances affecting their production. Manufacturing, agriculture and many other sectors involve processes that can expose workers to potentially dangerous situations. Wearable IoT devices are now used to ensure employee safety. These smart devices allow organizations to monitor the health and safety of their workers by monitoring their temperature, close contacts, and even their location across a variety of areas.
