Scientific Instrument Log Analysis and Anomaly Detection

Design a Bash-based log analysis and anomaly detection system for scientific laboratory instrumentation. The script must: 1) Collect and parse logs from multiple instrument types, 2) Implement machine learning-based anomaly detection algorithms, 3) Generate real-time alerts for unexpected measurement variations, 4) Create comprehensive performance reports, 5) Support multiple log formats and communication protocols, and 6) Provide secure, role-based access to analysis results.