With the emergence of industrial IoT, companies are looking for solutions that leverage the use of data analytics in order to improve machine, equipment and process performance, quality and efficiency, either to reduce operating costs or add services in order to support a new business model.
The first step in this process is the digitalisation of all assets, which involves the connection and collection of large amounts of data from different machines and equipment ready for subsequent analysis. Key to this process is the application of edge intelligence, but what does this mean in an IoT centric world?
Benefits of edge intelligence
In IoT, we talk a lot about ‘edge intelligence’ and the benefits it can bring:
- Unify data: protocol translation and data aggregation to interface and acquire information from a variety of new and legacy subsystems and convert this to more IT friendly formats;
- Reduce costs: local event detection and filtering to rapidly respond to key events, reduce the costs of data transmission and start the transformation of raw data into actionable information;
- Rapid decision making: local applications and business logic to provide rapid local decision making and autonomy in the case of communications failure;
- Increase security: key management, authentication and encryption to increase overall system security.
To learn more about the ‘edge’ devices offered by Advantech download the White Paper or click here