Industrial IoT (IIoT) refers to the ecosystem of devices, sensors, applications, and network elements that work together to collect and analyze data from industrial technologies.

The purpose of such a system is twofold: on one hand, it enhances oversight of critical technology components, facilitating problem-solving or even preventing issues entirely. On the other hand, this data helps improve production efficiency, reduce costs, and enhance safety.

Our approach to this issue is based on a cyclical principle consisting of four steps:

1. Selection and Deployment of IIoT Sensors
2. Connection and Data Collection
3. Monitoring, Analysis, and Data Evaluation
4. Action – Taking Measures

The first three steps are essential foundations for the most crucial step – step 4. This final step ensures that decisions are made based on facts and data, leading to:

• Increased Equipment/Production Efficiency
  • What is the availability, speed, and quality of machine outputs? What can be improved and how?
• Reduced Energy Consumption
  • What is the energy consumption during non-production periods? How can it be reduced?
  • Minimized Downtime
    Can we predict production-critical issues based on data?
• Expansion of IIoT Architecture
  • Are additional sensors needed? Is there a need to expand reports, adjust analyses, or add notifications?
  • Returning to step 1, continuous improvement

While IIoT can be viewed as a standalone system, it can easily be integrated with various (including existing) applications such as:

• SCADA/MES – Monitoring and controlling manufacturing operations
• OEE – Overall Equipment Effectiveness
• Condition Monitoring – Predictive maintenance
• EMS – Energy Management Systems
• BMS – Building Management Systems
• DCIM – Data Center Infrastructure Management
• Others…