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Flame Image Processing Based on Particle System in Patrol Robot

机译:巡逻机器人中基于粒子系统的火焰图像处理

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Patrol robots used in coal mines are more and more applied to replace the manual inspection to find out the problems in time by means of sensors, data collection and softwares, so as to provide reliable guarantee for the safety of the whole mine production. In these hidden dangers, fires are typical disasters and accidents in coal mines. When fire occurs, self-judgment of the danger is a technical problem. Through the image processing and simulation of the flame, the flame disaster can be effectively predicted and prevented. As the flame has no fixed geometric shape, the past modeling and simulation methods such as curves and surfaces can hardly be realized. In order to solve these problems, using the simulation algorithm based on particle system, the image processing and simulation of the underground flame are realized.
机译:越来越多的煤矿巡逻机器人被用来代替人工检查,通过传感器,数据采集和软件及时发现问题,从而为整个煤矿生产的安全提供可靠的保证。在这些隐患中,火灾是煤矿中的典型灾难和事故。当发生火灾时,危险的自我判断是一个技术问题。通过火焰的图像处理和模拟,可以有效地预测和预防火焰灾难。由于火焰没有固定的几何形状,因此很难实现过去的建模和仿真方法,例如曲线和曲面。为了解决这些问题,使用基于粒子系统的仿真算法,实现了地下火焰的图像处理和仿真。

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