基于有限差分法和遗传算法的高温作业研究

Research on High Temperature Workwear Based on Finite Difference Method and Genetic Algorithms

针对高温作业中使用的专用服装,进行了一些理论性的分析与研究。首先,确定外界温度对织物外表层及Ⅰ~Ⅳ各层的热传递类型,找到符合热传递模型的计算公式,根据放出热量和吸收热量相等,利用有限差分法分层计算出各层织物每秒温度变化量,得到温度分布。其次通过对蒙特卡洛方法和遗传算法进行反向求解得出防热服其中一层的最优厚度。最后运用粒子群优化算法,计算出防热服其中两层的最优厚度。

In view of the special clothing for high-temperature operation, this article made some theoretical analysis and research. Firstly, the heat transfer type of the outside temperature on the outer surface of the fabric and the layers I^IV is determined to find the calculation formula conforming to the heat transfer model. Then the temperature variation of each layer per second is calculated to get the temperature distribution by using finite difference method based on the heat released equal to the heat absorbed. Secondly, montecarlo method and genetic algorithm are used to solve the optimal thickness of one layer of the thermal protective suit in reverse. Finally, the optimal thickness of two layers is calculated by using particle swarm optimization (pso) algorithm.