Edge Analysis of Production Data

Framework Diagram

Edge Analysis of Production Data

The Challenges

With the rapid development of Industry 4.0 and the Internet of Things (IoT), traditional industries are increasingly aiming to upgrade to smart factories. However, many businesses face the following challenges:

• Difficulty in integrating and effectively utilizing large amounts of production data
• Servers are unable to provide real-time feedback due to the time-consuming data analysis process.
• Production management systems are unable to provide detailed data analytics for different equipment types

The Solution

Accordance’s edge computing solution brings cloud-based distributed computing to the factory floor, enhancing the on-site computing power. Combined with heterogeneous data collection and machine learning solutions, the solution enables real-time monitoring of equipment and production metrics and data analysis. From data production, collection, and analysis to data-assisted decision-making, massive amounts of raw data evolve into valuable knowledge. Businesses can build upon their accumulated experience to refine processes and increase efficiency, achieving smart manufacturing.

Features & Benefits

• Real-time data transmission and feedback for each plant area.
• Only necessary data is uploaded to management systems, reducing bandwidth usage and increasing data transmission efficiency.
• The system uses Apache Spark™ parallel architecture, allowing for easy expansion.
• The edge computing system requires no external network, allowing factories with closed-off networks to enhance data analysis.