Question 17
Scenario 2: Smart Manufacturing Quality Control System
An automotive manufacturer implements an IoT-based quality control system that monitors production line metrics, detects defects in real-time, and optimizes manufacturing processes across multiple assembly plants.
System Architecture:
● IoT sensors at production stations (coordinates provided for each plant)
● Quality control hub: (42.3601^(o) N, 71.0589^(o) W)
● Real-time data streams: temperature, pressure, vibration, visual inspection
● ML models for defect prediction and process optimization
Based on the above data, answer the given subquestions.
Quality engineers need to analyze sensor data to identify equipment performance degradation patterns. Which command-line approach efficiently processes large sensor log files to extract anomalous readings?