AI can augment all modes of monitoring. It can be used in structural health monitoring and infrastructure asset management, providing increased trust from the public and reducing costs of repairs and reconstruction.
AI and Cognitive sensor based architectural system integrated with IOT is composed of :
Few Photonic sensors installed based on Mining characteristics : -
Vibration and Deflection.
Weather and Pollution
Load and impact of speed of Vehicle
Pressure on Ground, Rocks, Tunnels
Recording of sound
Dynamic Big Data that stores bridge condition data,
Cloud based server that calculates and analyzes data transmitted from the monitoring devices.
Once any parameter crossing threshold is earmarked by Photonic sensors with Geospatial information, Alarms signals can be set to inform the stakeholders of critical event.
Individual can be assigned to gather visuals. Drone or ROV can be mobilized in case of inaccessible location.
A Report on extent of Damage and need of maintenance, repairs or replacement will be advocated by Artificial intelligence platform. For ex. Determining whether there are deviations from the target load and thereby assess the maintenance requirements.
Cognitive and deep learning abilities will support decision making during uncertainties and develop an intelligent, self-learning scheme will be personalized for each individual asset.
Each phase of mine's lifecycle requires consistent, timely and reliable data collection to allow for informed decision making will be Driven by Lethal Combination of Photonic Sensing Solutions, Image Processing, Noise Management and Artificial Intelligence.
Implementation of these real time technologies will safely and conveniently optimizes a more accurate and actionable data capture, allowing better understanding and management for day-to-day operations of mines.