TIA Platform provides a modular suite of Industrial IoT and MES applications for end-to-end manufacturing solutions. Their platform leverages big data, digital twins, and AI to optimize manufacturing processes and improve user interfaces.
Funding
Funding not disclosed
Founders
Product
Problem
Many manufacturing facilities struggle with inefficient processes, lack of real-time visibility into operations, and difficulty in predicting equipment failures, leading to increased downtime and reduced productivity. Existing systems often lack the ability to seamlessly integrate data from diverse machine types and provide actionable insights for process optimization.
Solution
TIA Platform offers a modular suite of Industrial IoT and Manufacturing Execution System (MES) applications designed to provide end-to-end manufacturing solutions. The platform collects data from CNC machines, PLCs, SCADA systems, and other industrial equipment, regardless of brand or model, using standard industrial protocols. This data is then processed and analyzed using AI and machine learning algorithms to provide real-time monitoring, predictive maintenance, and process optimization capabilities. TIA Platform's digital twin technology creates virtual replicas of physical assets, enabling simulation and testing of different scenarios to identify bottlenecks and improve efficiency. The platform's modular design allows businesses to implement a gradual and cost-effective digital transformation strategy, adapting to various industrial production scales with cloud-based, local, or hybrid deployment options.
Target Audience
The primary target audience includes manufacturing companies in various industries such as automotive, defense, energy, and logistics, seeking to improve operational efficiency, reduce costs, and enhance decision-making through digital transformation.
Features
- Real-time machine monitoring and data collection from diverse CNC controllers, PLCs, and other industrial equipment without requiring additional licenses for certain controllers.
- Overall Equipment Effectiveness (OEE) calculation with real-time monitoring of availability, performance, and quality parameters.
- Predictive maintenance capabilities, including cutting tool life estimation, spindle motor analysis, and sound/vibration diagnostics.
- Process optimization using AI algorithms for capacity planning, production scheduling, and bottleneck analysis.
- Digital twin technology for simulating production scenarios, identifying inefficiencies, and optimizing processes.
- Integration with ERP, PLM, and CAD/CAM systems for seamless data flow and continuous workflow.
- Centralized reporting system with customizable dashboards and interactive graphics for real-time visualization of key performance indicators (KPIs).
- Energy management module for tracking real-time energy consumption by machine and performing work order-based energy cost analysis.
- Quality management module for maintaining a complete record of quality control activities and ensuring ISO standards compliance.
- TIA Guard, a collision detection system with a built-in vibration sensor that uses the CANBUS communication protocol to quickly detect collisions and impacts.