makes industrial automation systems more transparent and adaptable to enable simple processing, analysis, and archiving of production data.The passage continues.
provides a comprehensive and secure runtime environment for high-level programming language-based Edge applications (built on the Docker IT standard) to execute in order to analyse data effectively and locally at the automation level.The passage continues.
Industrial Edge, in contrast to traditional PC-based systems, enables an integrated link to automation and cloud systems without extra programming work and allows for the global management of Edge devices and software through a single central administration system. This makes data processing systems as future-proof as possible and opens up new potential applications like centralised software administration and versioning, for example, for global recipe management.
Industrial Edge devices that employ Industrial Edge Runtime to support Edge applications at the automation level
How the Industrial Edge Is Used
Managing Edge devices and apps centrally is possible with Industrial Edge Management.
The primary source for Edge-related software downloads and other information, such as user manuals, is the Industrial Edge Hub.
The enhanced flexibility and openness of the automation systems, both old and new, allow for the development of novel ideas for data processing.
Long-term security and scalability of cutting-edge data processing software solutions across hundreds of devices based on open application standards like Docker
When creating software solutions using high-level programming languages, industrial settings can save time because to the following:
Security by default: Manual security hardening is no longer necessary for open PC systems.
A field or cloud link integrated Unlike OPC UA or SIMATIC S7, programming and establishing connectivity manually is no longer necessary.
Time is saved and workload is reduced with the easy central administration and diagnostics of Edge devices and Edge apps.
- A reduction in on-site maintenance costs due to the software's central remote update feature for Edge devices.
- Bulk app downloads with only one click for software updates reduce effort and save time.
- minimization of error sources through software standardisation through integrated version management (apps)
Because native Edge applications are integrated into automation systems, there is less dependency on cloud services and greater intelligence for field data processing.
- Latency-critical and soft real-time data processing applications can be realised through the integration of Edge Runtime with automation systems.
- The requirement for extra hardware is decreased by natural integration in control and visualisation systems (SIMATIC) and network components (SCALANCE).
Pre-made Edge applications provide a simple introduction to the use and processing of intelligent data.
Apps developed by Siemens or other businesses, sometimes known as proprietary Edge apps, allow for numerous applications:
High-level programming languages and artificial intelligence can be used locally to examine production data without interfering with the workflow.
·Using object-oriented and relational databases, local data collection, logging, and archiving for error localization with hitlists at the process level
Harmonising production data and converting Industry 4.0 protocols (such as Modbus TCP to OPC UA) from outmoded protocols to facilitate data sharing with MES/IT systems
Utilising local intelligence to choose and handle data, IoT gateway applications include data transfer from automation systems to cloud and commercial IT infrastructure.
For instance, local production data visualisation using an HTML5 web server
coordinated action in closed-loop automation systems using, for example, a 2D behaviour simulation of machine parts, and the results of local, calculated analysis.
When multiple PCs are being used, ideally in a vast spread, Industrial Edge could be useful. These days, these systems need labor-intensive manual updates and upkeep.
Automation of procedures and production
Building automation
Power distribution and engineering