Equipment’s operational data is relayed over to the cloud software The analytics core of an IIoT solution — for storing and analysis. software turns equipment’s operational parameters into informative insights about machines’ availability and performance (e.g. ? uptime ? downtime ? cycle time ? total parts count ? etc.). The insights obtained with the analysis are visualized and presented to the plant’s staff upon request via web or mobile applications.
The Implementation Example
To illustrate how the described approach works in practice ? we’ll phone number database discuss an example of a plastics parts manufacturer who has leveraged IIoT to monitor shop floor performance in three geographically distributed manufacturing facilities across two manufacturing divisions: die-cutting and machined plastics. The manufacturer rolled out an IIoT solution to address the issue of unreliable machine performance data arising from manual data collection. Below ? we the role of establishing contact describe the implemented IIoT solution from the perspectives of machine connectivity ? data analytics ? and communication with the users.
Machine Connectivity
In both manufacturing divisions ? the enterprise uses machinery with any germany cell number of computer numerical control (CNC). At the machined plastics division ? the enterprise employs CNC milling machines ? CNC lathe machines ? and CNC routers. At the die-cutting division ? the manufacturer uses hydraulic ? traveling head ? beam cutting ? and receding head presses ? all with computer numerical control. The equipment comprises both legacy and newer machines ? which have different connectivity interfaces. This influences the way in which the machines are connected to the IIoT solution.