In basic terms, the IIoT represents real-time data connection, driven by processing and transmitting data at faster speeds, on progressively smarter and smaller machines.
The true value of the IIoT, however, goes beyond data collection and transmission. It embraces the complete visibility and control of virtually all electromechanical factors in the manufacturing process, allowing companies to move beyond descriptive and diagnostic analysis to predictive intelligence and preventive action. Plant operators can discover unused capacity, reduce maintenance costs and downtime, improve safety, and maximise overall equipment effectiveness (OEE).
A comprehensive view of a manufacturing process or assembly line is accomplished by placing networked sensors on physical equipment to collect data. These sensors perform condition monitoring, analysing constant input like temperature, vibration, or sound frequencies. This data is transmitted back to a central location or cloud where decision-makers can access it. This process requires reliable high-speed connections, often in environments that include dust, noise, temperature changes, and vibration. In industries such as food and beverage, there is the additional challenge of frequent washdowns.
Read the full article in the October issue of DPA