Large-scale earthmoving operations, common in mining excavation, contribute significantly to Greenhouse Gas (GHG) emissions. This paper introduces a simulation-based system aimed at quantifying these emissions and identifying practical and achievable steps for reducing them. The system we developed considers site-specific factors, including equipment specifications, topography, route, and weather conditions. Notably, it enables ‘what-if’ scenario analyses, allowing us to evaluate the impact of different parameters on emissions. The system’s unique feature is the optimal allocation of resources through an intelligent decision-making system, which reduced GHG emissions by approximately 7.6% in the case study. Turning off equipment during idle periods further decreases emissions by up to 11.3%. These findings highlight the potential of operational adjustments in mitigating the environmental impact of earthmoving projects.

中文翻译：

---

基于仿真的土方设备规划，以减少温室气体 （GHG） 排放


采矿挖掘中常见的大规模土方作业对温室气体 （GHG） 排放有很大贡献。本文介绍了一种基于模拟的系统，旨在量化这些排放并确定减少排放的实用和可实现的步骤。我们开发的系统考虑了现场特定的因素，包括设备规格、地形、路线和天气条件。值得注意的是，它支持“假设”情景分析，使我们能够评估不同参数对排放的影响。该系统的独特之处在于通过智能决策系统实现资源优化配置，在案例研究中减少了约 7.6% 的温室气体排放。在空闲期间关闭设备可进一步减少高达 11.3% 的排放。这些发现突出了运营调整在减轻土方工程对环境影响方面的潜力。