Innovative clearance data model for demining operational data collection: Insights from field trials in Zimbabwe

Area of Science:

• Explosive Ordnance Disposal
• Data Science in Humanitarian Demining

Background:

• Traditional demining data collection lacks detail on individual explosive devices.
• Operational data is crucial for risk management and efficiency in demining.

Purpose of the Study:

• To test the practical application of the Clearance Data Model for demining operations.
• To evaluate the impact of detailed mine-specific data on operational efficiency and risk management.

Main Methods:

• Conducted a field trial on a live manual demining site from September 2023 to March 2024.
• Collected sixty-six data attributes for each mine, treating each mine as an accountable data unit.
• Expanded data collection to include attributes specific to Victim Operated Explosive Devices (VOEDs).

Main Results:

• The Clearance Data Model proved practical for data collection without hindering operational efficiency.
• Detailed data collection on individual mines significantly benefits quantitative operational risk management.
• Recording attributes like mine depth and excavation times allows for improved oversight and risk management.

Conclusions:

• The Clearance Data Model is a viable and beneficial innovation for demining operations.
• Treating mines as accountable units enhances data analysis for improved safety and efficiency.
• This approach offers significant advantages for overall operations and quality management in demining.