以Vx Works 6.9嵌入式操作系统为例,论述了在风河Simics全系统仿真环境下进行嵌入式操作系统的bootrom开发、操作系统的定制、设备驱动和应用程序的开发方法,探究出了利用Simics全系统仿真环境协助开发者进行嵌入式操作系统底层软件、...以Vx Works 6.9嵌入式操作系统为例,论述了在风河Simics全系统仿真环境下进行嵌入式操作系统的bootrom开发、操作系统的定制、设备驱动和应用程序的开发方法,探究出了利用Simics全系统仿真环境协助开发者进行嵌入式操作系统底层软件、中间层软件和上层应用软件开发的新方法。展开更多
To generate dynamic planning for coal mine safety investment, this study applies system dynamics to decision-making, classifying safety investments by accident type. It validates the relationship between safety invest...To generate dynamic planning for coal mine safety investment, this study applies system dynamics to decision-making, classifying safety investments by accident type. It validates the relationship between safety investments and accident cost, by structurally analyzing the causality between safety investments and their influence factors. Our simulation model, based on Vensim software, conducts simulation analysis on a series of actual data from a coalmine in Shanxi Province. Our results indicate a lag phase in safety investments, and that increasing pre-phase safety investment reduces accident costs. We found that a 24% increase in initial safety investment could help reach the target accident costs level 14 months earlier. Our simulation test included nine kinds of variation trends of accident costs brought by different investment ratios on accident prevention. We found an optimized ratio of accident prevention investments allowing a mine to reach accident cost goals 4 months earlier, without changing its total investment.展开更多
基金financial support from the National Natural Science Foundation of China (No. 51174214)
文摘To generate dynamic planning for coal mine safety investment, this study applies system dynamics to decision-making, classifying safety investments by accident type. It validates the relationship between safety investments and accident cost, by structurally analyzing the causality between safety investments and their influence factors. Our simulation model, based on Vensim software, conducts simulation analysis on a series of actual data from a coalmine in Shanxi Province. Our results indicate a lag phase in safety investments, and that increasing pre-phase safety investment reduces accident costs. We found that a 24% increase in initial safety investment could help reach the target accident costs level 14 months earlier. Our simulation test included nine kinds of variation trends of accident costs brought by different investment ratios on accident prevention. We found an optimized ratio of accident prevention investments allowing a mine to reach accident cost goals 4 months earlier, without changing its total investment.
