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首次提出了采用神经网络来模拟计算地铁车站热负荷,编制了工程实用软件,分别采用美国SES程序和自编程序对国内两条地铁线路进行了模拟计算。结果表明:提出的神经网络方法简捷、快速,所编制的软件正确、可靠。本研究为地铁早期计划阶段环控热负荷计算提供一种新思路。
For the first time, the neural network was used to simulate the thermal load of metro stations and the practical engineering software was compiled. Two subway lines in China were simulated by SES program and self-programming program respectively. The results show that the proposed neural network method is simple and fast, and the software is correct and reliable. This study provides a new idea for the calculation of loop thermal load in the early stage of subway planning.