Remote monitoring is another important business model of Industrie 4.0 that depends on the digitization of the production line. The main concept of remote monitoring is the supervision and control of different aspects of an industrial process from anywhere, using industrial digitization solutions.
These processes could be the condition of a machine, the condition of operations on the production line, or even related relationships such as the effect of a material handling system on traffic in the production line.
Remote monitoring is achieved through locally installed industrial solutions, which include software and hardware components. Hardware, such as IIoT and edge devices, as well as advanced robotic systems, are controlled through a remote monitoring and management platform such as the industrial cloud or an IoT platform.
It could be said that when condition monitoring is performed from a remote location, it falls under the jurisdiction of remote monitoring. Industry terms referring to remote monitoring include machine utilization, yield quality, on-the-go management, etc. Remote monitoring is an important basis for having an automated plant where human intervention is minimized.
Using the definitions above, the differences are:
Condition monitoring focuses on internal monitoring activities, while remote monitoring uses components to monitor and manage production line activities from remote locations.
Condition monitoring seeks to optimize the utilization of production line equipment and resources, while remote monitoring takes its monitoring capabilities to the next level, allowing users to control production line processes.
Remote monitoring ensures that industrial activities continue to take place regardless of the operator’s position, while condition monitoring ensures the reduction of unplanned downtime.INDUSTRIAL CLOUD
The industrial solutions that make remote monitoring possibleRemote monitoring and condition monitoring are both part of Industrie 4.0 as they guarantee industrial automation and data-based plant optimization. Both rely on the digitization of the production line for effective operation. The industrial solutions used to implement both monitoring processes include both hardware and software solutions.
IIoT, smart and edge devices are resources that are used to collect data or perform tasks on the production line. When condition monitoring is the goal, these data capture resources provide the data you need to closely monitor specific machines or operations.
When remote monitoring is the goal, however, the data they collect is analyzed to provide information using an industrial cloud platform. Instructions or data sets are then retransmitted, instructing the hardware components to perform specific tasks.
The data interchange required for remote monitoring applications also means that unification of the IT architecture is required. This means that every resource on the production line, including legacy resources, can transfer and receive data communications when required. OPC UA on TSN provides the standardization formats needed to design a unified production line, thus enabling the interchange of data that makes remote monitoring possible.
Display technologies are also important industrial solutions needed to drive machine-to-human communication when monitoring production line assets. Solutions such as Web HMIs, smart industrial devices and industrial visualization software allow data to be represented through simplified media such as graphics.
Industrial IIoT and cloud platforms provide the scalable compute resources needed to support data acquisition, analysis and transfer. The support they provide includes open APIs to simplify the acquisition of data from multiple sources and the provision of a platform to develop applications in support of Industrie 4.0 strategies.