Development of Industrial Internet of Things (IIoT) applications goes beyond merely integrating sensors with cloud computing. An industrial setting is characterized by the presence of noise, lack of hardware, and unstable connectivity, and therefore, reliability comes before scalability.
Regardless of whether you are tracking emissions, monitoring equipment condition, tracking consumption of power or process values, your pipeline needs to ensure consistency and availability of data.
Why Industrial Data Is Unique?
Industrial facilities have the capacity of producing up to thousands of data per day, such as:
- Temperature
- Pressure
- Flow rate
- Vibration
- Gas composition
- Particle composition
- Equipment status
Such data is constant and usually critical.
Each layer contributes to keeping the process operational despite poor connectivity.
Why Edge Processing Is Important
Direct sending all the data to the cloud may not be optimal at times.
Edge computing allows:
- Validating information
- Removing noise
- Aggregating values
- Setting off alarms locally
- Operating independently of connection failures
It also decreases latency and lowers bandwidth consumption.
Selecting Appropriate Database
Industrial applications generate time series, not transactions.
Time series database allows:
- Storing frequent measurements
- Querying trends
- Comparing operation spans
- Performing predictions
- Visualization Is Not Limited To Nice Dashboards
Dashboards need to provide answers to important questions:
- Do emissions grow?
- Is equipment within set boundaries?
- What equipment needs maintenance?
- Are there more alarms now?
Effective visualization makes sense out of data.
Preparing For Possible Network Failures
The system needs to store information locally, synchronize data automatically, avoid duplication, and preserve timestamps.
Securing IIoT System Properly
Use encryption, authentication, authorization, segmentation, updates, and logging.
Conclusion
IIoT systems should operate reliably in real-life conditions. Resilient data pipeline involves edge processing, robust storage, secure communication, and effective visualization.
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