BIM-guided Robot for Filter Cleaning in Government Tunnels

I&T Solution	BIM-guided Robot for Filter Cleaning in Government Tunnels (REF : S-1560)
Trial Project
Solution Feature	BIM Integration for Precise Navigation: enables precise navigation through the tunnel network, ensuring the robot can locate filter positions with accuracy. The BIM data also helps in optimizing cleaning routes, minimizing the robot's travel time, and avoiding obstacles. Autonomous Operation: reducing the need for human intervention, can independently plan its cleaning missions based on the BIM data and execute them efficiently. This feature significantly reduces labor costs and enhances operational efficiency. Safety Systems and Monitoring: The robot includes robust safety features such as emergency stop mechanisms, real-time air quality monitoring, and collision avoidance systems. These safety systems help prevent accidents and ensure the well-being of both the robot and tunnel workers. Data-Driven Maintenance and Reporting: After each cleaning operation, it updates the BIM model with maintenance records, filter status, and any observed anomalies. This data-driven approach provides insights into the condition of tunnel infrastructure, enabling predictive maintenance planning and resource allocation. Efficient Task Planning: Leveraging the BIM data, the robot autonomously plans cleaning missions, optimizing routes, and prioritizing filter cleaning tasks. This feature reduces downtime and ensures that filters are cleaned efficiently, contributing to improved tunnel maintenance.
Trial Application and Expected Outcome	Improved Cleaning Efficiency: The robot is expected to demonstrate significantly improved efficiency in filter cleaning compared to traditional manual methods. It will complete cleaning tasks faster and with consistent quality. Cost Reduction: The trial is expected to show cost savings in tunnel maintenance. Reduced labour costs and more effective use of resources will contribute to a lower overall maintenance budget. Enhanced Worker Safety: The robot's safety features are expected to result in a safer working environment for maintenance personnel. Reduced exposure to hazardous conditions will be evident during the trial. Reduced Downtime: The BIM-guided robot's ability to plan cleaning missions efficiently is expected to minimize downtime for tunnel maintenance. Filters will be cleaned proactively, reducing the risk of clogs and service interruptions. Positive Public Perception: Successful implementation of the robot in the trial is likely to generate positive public perception, as it demonstrates a commitment to both efficient public service and worker safety.
Additional Solution Information	TechnicalProposal-W-0498-v7.docx
Info on I&T Solution Provider	Solution Provider : FireAlert Limited Address : Rm 15, EC, Level 5, CoreF Contact Person : NG DAVID Position : CTO Tel : 52254679 Email : david.ng.hk@gmail.com Webpage : https://www.firealert.com.hk/

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