Automation of the future: two examples of how GPT revolutionizes and optimizes industrial production.

Automation plays an important role in improving the efficiency, quality and sustainability of industrial production. Advances in artificial intelligence (AI) are opening up new opportunities to automate processes that previously relied on human expertise. One example is Generative Pre-trained Transformer (GPT) technology, which enables the generation of natural language text based on context.??

In industrial manufacturing, for example, GPT can be used to generate automated reports based on data from the OPC Router. The OPC Router is a software solution for the integration of machines and systems in industrial production and enables the exchange of data between different systems.??

By integrating GPT with the OPC Router, it is possible to generate precise recommendations for action based on data from the OPC Router, helping to increase the efficiency and quality of production. In this blog post, we present two concrete application examples of how GPT in combination with the OPC Router revolutionizes and optimizes industrial production.?

Real-time efficiency improvement: GPT-based recommendations to reduce downtime?

In industrial production, downtime can result in significant losses. To reduce downtime, recommendations from experienced maintenance personnel and plant operators are often required. By using Artificial Intelligence (AI) and the OPC Router, which connects all involved systems in the background, precise recommendations can be generated in real time.?

The systems involved are?

1. The OPC Router to connect all the components.?
2. Azure Cognitive Services - GPT (Generative Pre-trained Transformer).?
3. A database (SQL or document based).?
4. A digital shift log that records problem resolution by maintenance/plant operators.?
5. Production machines connected to HMI/SCADA systems.?
6. HMI/SCADA systems that record fault messages.?

By linking the digital shift log and the fault messages from the HMI/SCADA systems, GPT can generate real-time recommendations for action based on current fault messages and plant conditions. The OPC Router enables data exchange between the different systems and ensures seamless integration.?

The recommendations can be directly implemented by plant operators and maintenance personnel to reduce downtime and increase productivity. In addition, the collected data can be used to continuously improve production.?

All in all, the use of GPT-based recommended actions in combination with the OPC Router enables an efficient and precise reduction of downtime in industrial production.

Industrial data analytics rethought: how GPT-based automated reporting automatically summarizes shift logs?

Industrial production generates huge amounts of data every day. One important source of information about the production process and potential problems is shift logs, which record the events of each shift. However, manually evaluating and summarizing these logs is time-consuming and error-prone. Enter Generative Pre-trained Transformer (GPT) technology, which can generate natural language text based on context.?

Automated reporting with GPT: Improve efficiency with accurate summaries?

By linking GPT to shift logs, automated summaries can be generated in real time. The technology identifies relevant information, such as machine breakdowns, production volumes, and other events, and creates accurate summaries. This automated analysis not only saves time, but also reduces susceptibility to error.?

OPC Router: The bridge between systems?

To enable this automated analysis, a connection must be established between the different systems. Middleware plays a crucial role in providing a reliable solution for this purpose. The OPC Router, acting as middleware, seamlessly connects the production machines, the digital shift book, the database, and the GPT service, facilitating smooth integration and communication between these components.?

Real-time results: greater efficiency, better decisions?

Automated reporting with GPT and the OPC Router makes it possible to analyze and evaluate shift logs in real time. Summaries provide a quick overview of the production process, allowing problems to be identified and corrected early. As a result, downtime is reduced, efficiency is increased, and better decisions can be made.?

Conclusion?

The combination of GPT and OPC Router opens up new possibilities for industrial data analysis. Automated reporting enables accurate, real-time summaries of shift logs, leading to greater efficiency and better decisions.