Matrikon OPC Dynamic Recipe LoadingSimplify Dynamic Recipe Loading with OPC Batch process industries face unique challenges in PLC Automation compared to continuous process industries. Whether you’re producing widgets, semiconductor parts, or mixing pharmaceuticals, managing production recipes and ensuring consistent batches are key to improving throughput and reducing downtime. Batch industries often use manual recipe loading, which can lead to human errors. This can result in longer cycle times, wasted batches, quality control issues, and missed opportunities for process improvements. |
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OPC, a standard for neutral data sharing, helps maximize the use of relational data through OPC DA. An OPC Server for relational databases that supports table expressions and stored procedures can dynamically create tags. You can choose a recipe from any OPC-compatible HMI. This will prompt a table request or stored procedure to supply the recipe parameters. With OPC’s real-time data transfer, the PLC will receive all batch parameters and be ready to start the batch. The diagram illustrates how to dynamically load recipe data into a PLC from a relational database using standard off-the-shelf products. |
Enhance Your Batch Processes with OPC Automation! Ready to improve your batch operations?
Eliminate manual recipe loading and embrace precision and efficiency. OPC technology provides a reliable way to manage recipes, cut down on errors, and ensure batch consistency. Reduce downtime, maintain quality, and drive process improvements with OPC’s data sharing and dynamic tag creation features.Dynamic recipe management is a common issue in the batch industry. Simple, cost-effective, and standards-based solutions allow process engineers, integrators, and IT professionals to create reliable systems. Using OPC-DA ensures the solution remains open and adaptable, no matter the PLC, Database, or HMI vendor.
Key Products:
- MatrikonOPC Universal PLC Connectivity Server (UCS)
- MatrikonOPC Data Manager (ODM)
- MatrikonOPC Server for Relational Databases