Due to the global energy crisis worsening, numerous businesses have prioritized energy conservation and consumption reduction. However, in mines with multiple main fans, the main fans' operation efficiency is low to meet the ventilation on-demand, and the ventilation system's energy consumption is very high. This paper proposes an energy-saving control strategy for ventilation on demand with multiple fans network, which can save much energy in mines. We use the circuit method to calculate the operating condition parameters required for the joint control of multiple main fans by analyzing the influence features of multiple fans' mutual disturbance. We study the advantages and shortcomings of the traditional fan control method and create control strategy expressions for multiple fans. The two-step fan control strategy uses the adjusting wheel blades' angle method to determine the high-efficiency operating angle and the modulating fan speed method for accurate air quantity control. Furthermore, the effectiveness of the control strategy in ventilation on demand and fan energy-saving are verified on the three-dimensional complex ventilation pipe network experimental platform. The research results show that, compared to the two typical fan control strategies, our control strategy can save energy by 27.74% and 26.92%, respectively. If this strategy is applied to a mine with two main fans rated power of 500 kW, it can save energy 2,429,806 kW per year, saving USD 442.69 per day or USD 161,582.1 per year. The payback period for this strategy is approximately 14.1 months. Therefore, this research can provide a promising step towards intelligent control of air quantity on-demand while indicating enormous potential for energy savings in mine ventilation systems.

由于全球能源危机的加剧，众多企业将节能降耗放在首位。但在多台主风机矿井中，主风机运行效率低，无法满足按需通风，通风系统的能源消耗非常高。本文提出了一种多风机网络按需通风的节能控制策略，可为矿井节约大量能源。通过分析多台风机相互扰动的影响特征，采用电路法计算出多台主风机联合控制所需的工况参数。我们研究了传统风扇控制方法的优点和缺点，并创建了多风扇控制策略表达式。两段式风机控制策略，采用调节轮叶片角度法确定高效运转角，调节风机转速法精确控制风量。此外，在三维复杂通风管网实验平台上验证了控制策略在按需通风和风机节能方面的有效性。研究结果表明，与两种典型的风机控制策略相比，我们的控制策略分别可以节能27.74%和26.92%。如果这个策略应用到一个有两个主风机额定功率为 500 千瓦的矿山，它每年可以节省能源 2,429,806 千瓦，每天节省 442.69 美元或每年节省 161,582.1 美元。这 每天节省 442.69 美元或每年节省 161,582.1 美元。这 每天节省 442.69 美元或每年节省 161,582.1 美元。这该策略的投资回收期约为 14.1 个月。因此，这项研究可以为按需智能控制空气量迈出有希望的一步，同时表明矿井通风系统具有巨大的节能潜力。