The world today is witnessing a new age of digital transformation that will also require manufacturers to rethink their existing business models and corresponding industrial automation infrastructures. To remain relevant and competitive in the age of “Industry 4.0”, manufacturers need to do more than simply adopt digital technologies and deploy pre-defined processes in isolated islands of automation as they have done in the past.
Modern factories are increasingly deploying AS/RS and AGV systems in their facilities worldwide to optimize production efficiency and reliability. This has led to an increase in industrial traffic on factory floors and within their facilities. To be able to monitor and control the AS/RS and AGV systems, as well as other moving equipment, the control centers in these factories need uninterrupted connectivity with the equipment and vehicles.
Falling global oil prices continue to have a back-breaking effect on cost-intensive upstream oil operations and the economies that are heavily dependent on oil production. As prices fall below 50% of those experienced in 2014, oil companies are feeling the pressure to finally implement modern cost-cutting networking technologies throughout their operation.
It is inevitable that the adoption of the Industrial IoT (IIoT) is going to continue to grow, facilitating more and more devices to be connected to networks. The momentum driving this trend is a strong desire from asset owners to enhance operational efficiency. However, achieving enhanced operational efficiency is not without problems.
Data mining is transforming the face of factory automation. As factory automation is all about faster, smarter, and more efficient production, unlocking the vast, untapped potential of data on shop floors has been the driving force behind factory automation’s transformation for some time now.
Over the past several years, SCADA systems have evolved from proprietary, monolithic systems to decentralized, cloud-computing systems. Modern SCADA systems are quickly adopting Industrial Internet of Things (IIoT) technologies, such as cloud services or pub/sub protocols, to collect more data from monitored systems.
Data is at the heart of the Internet of things (IoT). To make critical data-informed decisions, businesses first need to capture and collect data from all sorts of devices over the Internet before converting the data into valuable business information.
As the Industrial Internet of Things (IIoT) trend continues to gather pace, the demand for extending industrial applications over secure remote connections also continues to increase. Remote access is a necessity for many mission-critical industrial automation systems. However, network operators cannot afford to overlook cybersecurity considerations.