In early 2018, the Boliden Garpenberg operation implemented an optimized control strategy as an addition to the existing ventilation on demand system. The purpose of the strategy is to further minimize energy use for main and booster fans, whilst also fulfilling airflow setpoints without violating constraints such as min/max differential pressure over fans and interaction of air between areas in mines. Using air flow measurements and a dynamical model of the ventilation system, a mine-wide coordination control of fans can be carried out. The numerical model is data driven and derived from historical operational data or step changes experiments. This makes both initial deployment and lifetime model maintenance, as the mine evolves, a comparably easy operation. The control has been proven to operate in a stable manner over long periods without having to re-calibrate the model. Results prove a 40% decrease in energy use for the fans involved and a greater controllability of air flow. Moreover, a 15% decrease of the total air flow into the mine will give additional proportional heating savings during winter periods. All in all, the multivariable controller shows a correlation between production in the mine and the ventilation system performance superior to all of its predecessors.

在2018年初，Boliden Garpenberg运营部门对现有按需通风系统进行了改进，实施了优化的控制策略。该策略的目的是在不违反诸如风扇上的最小/最大压差以及矿井之间的空气相互作用之类的约束的前提下，进一步最大程度地减少主风扇和增压风扇的能耗，同时满足气流设定值。使用空气流量测量和通风系统的动力学模型，可以对矿井范围的风扇进行协调控制。数值模型是数据驱动的，并从历史操作数据或阶跃变化实验得出。随着矿山的发展，这使得初始部署和终生模型维护都变得相当容易。事实证明，该控件可以长时间稳定运行，而无需重新校准模型。结果证明，所涉及的风扇的能耗降低了40％，并且气流的可控性更高。此外，进入矿井的总空气流量减少15％，将在冬季额外节省成比例的供暖。总而言之，多变量控制器显示出矿山产量与优于其所有先前产品的通风系统性能之间的相关性。