创新的扫雷数据模型用于扫雷操作数据收集:来自津巴布韦现场试验的见解
1Cranfield University, Centre for Defence Chemistry, Defence Academy of the United Kingdom, Shrivenham, SN6 7LA, UK.
Heliyon
|December 17, 2024
概括
一个新的清除数据模型使每个矿山成为负责清除地雷数据收集的负责单位. 这种方法提高了在拆除地雷操作中的运营效率和风险管理.
科学领域:
- 爆炸性武器的处理方式
- 数据科学在人道主义排雷中的作用
背景情况:
- 传统的扫雷数据收集缺乏关于个别爆炸装置的细节.
- 操作数据对于风险管理和扫雷效率至关重要.
研究的目的:
- 为了测试清除数据模型在拆除地雷操作中的实际应用.
- 评估详细的矿井特定数据对运营效率和风险管理的影响.
主要方法:
- 从2023年9月到2024年3月,在现场手动扫雷现场进行了实地试验.
- 收集了每个矿山的66个数据属性,将每个矿山视为可追究责任的数据单元.
- 扩大数据收集,包括受害者操作的爆炸装置 (VOED) 特定的属性.
主要成果:
- 清算数据模型证明,在不妨碍运营效率的情况下,数据收集是非常实用的.
- 对个别矿山的详细数据收集显著有利于定量操作风险管理.
- 记录矿井深度和挖掘时间等属性可以改善监督和风险管理.
结论:
- 清除数据模型是一个可行的和有益的创新,用于扫雷作业.
- 将矿山视为负责任的单位可以加强数据分析,以提高安全性和效率.
- 这种方法为整体操作和开采质量管理提供了显著的优势.
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