Discover how IoT is transforming process manufacturing in 2025. Explore its benefits, real-world applications, and how Install IoT can streamline your factory’s digital transformation.
The manufacturing industry has always been at the forefront of innovation, from the advent of assembly lines to today’s automated factories. Now, the Internet of Things (IoT) is revolutionizing the sector, reshaping how manufacturers monitor, control, and optimize their operations. IoT in process manufacturing is making a significant impact, driving efficiency and innovation like never before.
Summary of Future Techniques and Open Issues
| Aspect \Technique | Deep Learning | Edge Computing | Big Data |
|---|---|---|---|
| Usage in IoT | 1. Prediction for making future resource allocation 2. Prediction for potential maintenance 3. Classification of underlaying defects | 1. Real-time data collection and analysis 2. Distribute resources utilization 3. Provide low latency communication | 1. Provide data analysis 2. Distribute real time data computation |
| IIoT Challenges Tackled | 1. Real-Time Processing 2. Resource Limitations | 1. Resource Limitations 2. Real-Time Processing 3. Heterogeneity 4. Connectivity | 1. Real-Time Processing 2. Heterogeneity |
| Open Issues | 1. Reduce time consumption and models complexity 2. Use accelerator tools and approximation methods 3. Deep learning model optimization for federated learning. | 1. Develop flexible mechanisms for the programmability of edge devices 2. Mange data offloading with minimal bandwidth and low latency 3. Leverging AI technique on the edge devices | 1. Develop big data pipeline for large scale IIoT 2. Work on putting standardization for big data produced from IIoT systems |
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