Big Data can now be part of the ICT in production plants and thereby improve production processes, product quality and traceability. Monitoring production equipment and processes with various types of sensors, as well as the interpretation of data in various mathematical models have become increasingly important. Rapid product changes also pose challenges for the production of machines that can manage product information quickly and reliable. The amount of information is large, and a traditional file saving is no longer just a wise choice, it is the only option and for that big databases are needed.
NJ1 and NJ5 SQL machine controllers can communicate easily, quickly and reliably with various databases without the need for any separate equipment in between, such as a PC . Databases are used for saving data like recipes, product search, optimization of production processes and the traceability of products. Users don't have to be database experts in order to get the most out of the databases, as all software interfaces can be programmed in advance and made user friendly.
Omron take advantage of NJ machine controller database connectivity to improve production processes at the Kusatsu factory in Japan. There Big Data are used to monitor and control production processes. Information collected from the production can be shown graphically in real time. Read more about Kusatsu factory solution in the article below on this page.
The NJ SQL machine controller with direct connection and access to multiple databases provide the following benefits:
- Reliability: Data from the device are sent directly to the database without any intervening hardware.
- Speed: It can send data at up to 20 ms.
- Easy: Ready-to-use SQL function blocks facilitate and speed up programming.
NJ models that support the connection to the database:
- NJ501-1520 (64 axis)
- NJ501-1420 (32 axis)
- NJ501-1320 (16 axis)
- NJ501-4320 (Robotiikka, 16 axis)
- NJ101-1020 (2 axis)
- NJ101-9020 (0 axis)
- Microsoft SQL Server
- Oracle Database
- IBM DB2
- Postgre SQL