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Data Acquisition in Data Analytics for Automation

Data acquisition is the process of collecting data from various sources, such as sensors, machines, and systems, to support data analytics and automation initiatives.

Key Aspects:

1. Data Sources: Identifying and connecting to relevant data sources, like sensors, PLCs, SCADA systems, and enterprise systems.
2. Data Collection: Gathering data in real-time or batch mode, using protocols like OPC UA, MQTT, or REST APIs.
3. Data Storage: Storing collected data in databases, data lakes, or cloud storage solutions.
4. Data Processing: Cleaning, transforming, and preparing data for analysis.

Methods:

1. Sensor Integration: Connecting sensors to collect data on temperature, pressure, vibration, etc.
2. Machine Connectivity: Collecting data from machines, like CNC machines or robots.
3. Network Protocols: Using protocols like Ethernet/IP or Profinet for data exchange.
4. Edge Computing: Processing data at the edge, closer to the source.