School of Mechanical Electronic & Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
School of Mechanical and Equipment Engineering, Hebei University of Engineering, Handan 056038, China.
Sensors (Basel). 2022 Jul 10;22(14):5164. doi: 10.3390/s22145164.
Aiming at the problem of the inefficiency of coal mine water reuse, a multi-level scheduling method for mine water reuse based on an improved whale optimization algorithm is proposed. Firstly, the optimization objects of mine water reuse time and reuse cost are used to establish the optimal scheduling model of mine water. Secondly, in order to overcome the defect that the whale optimization algorithm (WOA) is prone to local convergence, the opposition-based learning strategy is introduced to speed up the convergence speed, the Levy flight strategy is used to enhance the ability of the algorithm to jump out of the local optimization, the nonlinear convergence factor is used to balance the global and local search ability, and the adaptive inertia weight is used to improve the optimization accuracy of the algorithm. Finally, the improved whale optimization algorithm (IWOA) is applied to the mine water optimization scheduling model with multiple objects and constraints. The results show that the reuse efficiency of the multi-level scheduling method of mine water reuse is increased by 30.2% and 31.9%, respectively, in the heating and nonheating seasons, which can significantly improve the reuse efficiency of mine water and realize the efficient utilization of mine water reuse deployment. At the same time, experiments show that the improved whale optimization algorithm has higher convergence accuracy and speed, which proves the feasibility and superiority of its improvement strategies.
针对煤矿水资源复用效率低下的问题，提出了一种基于改进鲸鱼优化算法的煤矿水资源复用多层次调度方法。首先，利用优化煤矿水资源复用时间和复用成本的优化目标，建立煤矿水资源优化调度模型。其次，为了克服鲸鱼优化算法（WOA）容易陷入局部收敛的缺陷，引入了基于对立学习策略来提高收敛速度，利用莱维飞行策略来增强算法跳出局部优化的能力，采用非线性收敛因子来平衡全局和局部搜索能力，并使用自适应惯性权重来提高算法的优化精度。最后，将改进的鲸鱼优化算法（IWOA）应用于具有多目标和约束的煤矿水资源优化调度模型中。结果表明，在供暖季和非供暖季，煤矿水资源复用多层次调度方法的复用效率分别提高了 30.2%和 31.9%，可以显著提高煤矿水资源的复用效率，实现煤矿水资源复用部署的高效利用。同时，实验表明，改进的鲸鱼优化算法具有更高的收敛精度和速度，证明了其改进策略的可行性和优越性。
