Factory data management
The Industrial Internet of Things (IIoT) is about interconnected sensors, instruments, and devices networked together. This connectivity allows for data collection, exchange, and analysis, potentially facilitating improvements in productivity.
Sensors and devices at the edge constantly generate data which must be locally analyzed in order to produce important information that must be delivered to the other parts of the system. Data management decentralization aims at edge computing to perform tasks locally, which results in better response times and transfer rates. The edge generally includes a network of devices producing a large volume of data to be computed at rest and distributed when in motion. It is vital to minimize network bandwidth requirements at acceptable data transfer rates and systems data management response times, particularly for mission critical applications.
With this demonstration a company headquarters manages several factories worldwide. We will demonstrate how the right data management and processing software will allow the company to collect data from each robot, analyze the conformance, and mitigate failure.
