Design and analyze a structural health monitoring system for a large$-$scale suspension bridge. Given:Specify the bridge span length, structural materials, and environmental loading conditions.Design IoT sensor networks and data acquisition systems for monitoring structural vibrations, deflections, and fatigue cracks.Evaluate cloud$-$based data storage, processing, and real$-$time analytics platforms for continuous monitoring and condition assessment.Discuss the integration of machine learning algorithms for anomaly detection, predictive maintenance, and early warning systems.Analyze the reliability of sensor data transmission, network security protocols, and data integrity in a distributed monitoring system.Propose visualization tools, dashboards, and decision support systems for displaying real$-$time structural health metrics to bridge maintenance engineers.Assess the cost$-$effectiveness and lifecycle benefits of implementing a structural health monitoring system for enhancing bridge safety and longevity.

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