Introduction

A major automotive manufacturing company has started construction of a new smart factory dedicated to the production of electric vehicles (EVs). This next-generation plant was designed according to the most advanced principles of smart manufacturing and Industry 4.0, with a heterogeneous production line in terms of machinery, sensors and data visualization tools.

The Challenge: Data Interoperability

The company faced a critical issue common to many industries: the difficulty of collecting and unifying data from different machines, each with its own communication protocols. The result was a fragmented ecosystem that was difficult to monitor and optimize in real time.

Problems encountered

• Fragmented data across different protocols and vendors

• High cost and long time for manual integrations

• Lack of flexibility in adapting data collection to production changes

The Solution: Meddle as Line Supervisor

By implementing Meddle, the company would have a single, flexible and scalable line supervisor that could integrate with any industrial protocol and collect data from across the production line.

Key features

• Universal connection with any machinery or sensor

• Automatic normalization of data into a single format

• Autonomous configuration of collection rules and sampling rates

• No additional hardware required

• Deploy as an on-premise version for full data control

Results for the Automotive Company

Meddle produces immediate and measurable benefits:

• 90% reduction in setup time for data collection
• Real-time monitoring across the entire production line
• Total autonomy in information flow management
• Compliance with Industry 4.0 standards

Conclusion

Meddle is the ideal solution for those in the automotive industry who want to make their factories smart. With its no-code architecture, multi-protocol compatibility, and ease of use, it reduces the cost, time, and complexity of industrial integration.