How AI Companies Can Benefit from i-Gusystem Oy's Services and Data Collection

Introduction

i-Gusystem Oy offers extensive industrial automation and IoT solutions that collect large amounts of data. AI companies can use this data, which we store locally on servers in MSSQL or MySQL databases, ensuring high quality and relevance. This data is delivered, for example, as MQTT messages according to the customer's needs and preferences.

We specialize in difficult production machines and their connections, often using our own or manufacturers' applications, known as adapters, to bring the data into our iGuxmlsync application, which stores the necessary rows of data. For instance, a simple "NC machine production status" can consist of multiple details such as automatic mode, two spindles running, three axes moving, speed exceeding 100 rpm, etc.

We collect the data, store it in a backup database for a suitable time (e.g., a month to five years), and if the customer wants to use the same production data for other purposes, we can provide it to you. It's up to the customer and you to decide how to use it.

In practice, we sell tailored data collection applications for specific machines. There are hundreds of controls, and we have the expertise and ready solutions to collect data directly from newer production machines via RJ-45, and from older NC machines and other equipment through sensor-based data collection logic.

Newer CNC controls -> Direct reading with extensive data (program, product, quantity, run data, tools, speed, etc., and then to the database. Data is sent to anyone you want, "to the cloud". Also, MQTT messages.

Older CNC controls -> PLC connection to Siemens, Control By Web, Moxa, etc., and then to the database. Data is sent to anyone you want, "to the cloud". Also, MQTT messages.

Ovens, Robots, Welding, production lines, sheet metal machines, burning, plasma, laser, special machines, hardening, and practically any stationary production equipment -> PLC connection to Siemens (directly to the machine's own or our installation), Control By Web (high temperatures and production data with quantities), Ruuvi adapter wirelessly (for limited data). Yes, we have the world's only MTConnect adapter for this, as well as Moxa (simple IO data), etc., and then to the database. Data is sent to anyone you want, "to the cloud". Also, MQTT messages.

1. IoT and Industrial Automation Data

Where can this data be used?

• Developing machine learning models, such as predicting failures and production bottlenecks.
• Predictive maintenance systems where AI analyzes data. Example: Failure frequency.
• Production optimization using real-time data.

2. Smart Systems and Automation Solutions

i-Gusystem Oy also helps create smart automation systems that benefit AI companies:

• AI integration into industrial systems improves production efficiency.
• Real-time data analysis using AI optimizes production processes. Example: Knowing how long machining took last time. AI decides what to run next.

3. Use Case Data

Through i-Gusystem Oy, AI companies can benefit from data collected from various use cases, such as:

• Training machine operators to detect errors on the production line.
• Designing and analyzing optimized workflows.
• Expanding limited data into broader insights. Example: Collecting welding robot burn time data (duration and cycle) -> linking it to product information (MES/ERP) -> AI predicts the next product to be produced.

4. Collaboration in Development

i-Gusystem Oy’s infrastructure also enables AI companies to collaborate on development projects:

• Joint development and AI integration into i-Gusystem Oy's services.
• Test environments to trial AI solutions in real industrial settings.
• Consultancy services in real industrial environments. We have been building data collection systems at the production floor level for 25 years, so we understand what data can be extracted from (especially NC) machines for production data collection.

5. Data Management Infrastructure

i-Gusystem Oy offers a robust data management infrastructure that AI companies can benefit from:

• A standardized data infrastructure that simplifies data analysis and use.
• We have connection models for hundreds of machines with images for NC machine production data collection. During the pandemic years, we created a "book" (100-page PDF) for foreign subcontracting purposes.