Case Study on Robotics for Ground Survey in Construction

Issues

• Differences in skill levels among workers lead to inconsistent quality.
• Large labor force requirements drive up costs.
• Manual inspections can miss defects or inconsistencies, leading to potential safety issues.
• Quality issues are often identified too late, causing delays and increased costs.
• Human error can lead to inaccuracies in data collection, impacting planning and execution.
• Inaccurate or incomplete data leads to inefficient resource allocation.

Challenges

• Manual surveys took a long time, delaying project timelines.
• Human errors during data collection led to inaccuracies, affecting project planning and execution.
• Traditional surveying required significant manpower, increasing costs.
• Surveying in hazardous or difficult-to-reach areas posed safety risks to workers.

Objectives

• Reduce the time required for ground surveys and data collection.
• Improve the precision of survey data for better project planning and execution.
• Lower the overall cost of surveying through automation.
• Safely survey hazardous or hard-to-reach areas without putting workers at risk.

Solution

• Robots equipped with LiDAR, GPS, and advanced sensors to autonomously navigate and collect survey data.
• The robots captured high-resolution topographical data, creating detailed 3D maps of the survey area.
• Integrated software processed the data in real-time, providing immediate insights and visualizations.
• The robots could be operated remotely, ensuring safety and efficiency in hazardous areas.

Results

• Surveying time was reduced by 70%, allowing for quicker project initiation and progress.
• Enhanced precision of survey data led to better project planning and reduced rework.
• Overall surveying costs decreased by 50% due to reduced manpower and equipment needs.
• Robots safely accessed and surveyed hazardous areas, eliminating safety risks for workers.