As we discussed, in the industrial and manufacturing sectors, IIoT is nothing new. Industries have long relied on proprietary computer systems and sensors to monitor equipment and operations. But as we enter the fourth era of industry, Industry 4.0, these systems and sensors are becoming more interconnected and are leveraging machine learning to automate industrial processes.
PLC boards gather data and push it to SCADA systems.
One trend that is coming to the fore in Industry 4.0 is the movement to cloud IIoT. Traditionally, data gathered from industrial sensors is pushed from proprietary Programmable Logic Controllers (PLCs) to Supervisory Control and Data Acquisition (SCADA) systems for analysis, with lots of layers in between. But cloud IIoT is opening all this up and reducing the amount of layers from data capture to actionable intelligence.
Enabled by improvements to cloud reliability, security, and infrastructure tools, organizations are increasingly transitioning away from the traditional manufacturing control market – proprietary PLCs and SCADA systems – and leveraging new IIoT that pushes data directly to the cloud.
Examples of IIoT dashboards.
Using cloud IIoT not only streamlines the data flow, but because industrial operators can use public cloud infrastructure, it is also a much more cost-effective option for data storage, processing, and analysis than previous proprietary data tools. Another big benefit of cloud IIoT is the accessibility to machine learning tools that help organizations make meaning of their big data output.
Dev IQ is an edge-computing expert that helps organizations develop reliable, cost-effective cloud IIoT solutions. We’ve worked with engineering, lighting, and warehousing and logistics firms to develop custom IIoT solutions that migrate data analysis to the cloud and deliver more value from their most important asset: data.
For more information about how Cloud IIoT can be applied to your business, connect with us!
CEO at Dev IQ, triathlete, and technological philosopher.