Abstract
A groundwater drainage system comprising five drainage points and seven submersible pumps was designed to relieve the threat of flooding by 2.9 million m3 of mine water and a dynamic water supply volume of 718 m3/h in the Guhanshan Coal Mine. The key aim of the design was to ensure safe production. A mathematical model of the optimal scheduling of the water drainage system was constructed and solved using an improved particle swarm optimization algorithm to minimize long-term energy consumption. The algorithm had high convergence accuracy, and quickly and efficiently realized the optimal configuration of the pumping volume of the mine drainage system. When the Wucun mine was full of water, the flow of submersible pumps no. 1 (or 2) and nos. 3, 4, 5, and 6 were set to 58, 150, 150, 180, and 180 m3/h, respectively, and the energy consumption of the system was minimal. When the water level in the Wucun mine was less than − 40 m, the lowest energy consumption was found when the flow rates of pumps nos. 3, 4, 5, 6, and 7 were, respectively set to 150, 150, 180, 180, and 58 m3/h. This overcame the shortcomings of adjusting the submersible pump flow based only on past experience and should be useful for many future mine water drainage projects.
Zusammenfassung
Zur Verringerung der Überschwemmungsgefahr der Guhanshan-Mine wurde ein Grubenentwässerungssystem entwickelt, damit neben einem Rückhalteraum von 2,9 Millionen m3 in der Grube 718 m3/h abgefördert werden können. Das System bestand aus fünf Pumpensümpfen und sieben Tauchmotorpumpen. Der Hauptzweck der Konstruktion war die Gewährleistung einer sicheren Kohleförderung. Zur optimalen Auslegung des Systems wurde ein mathematisches Modell erstellt und mittels eines verbesserten Partikelschwarmalgorithmus ‘ gelöst. Ziel war die langfristige Minimierung des Energieverbrauchs. Der Algorithmus hatte eine hohe Konvergenzgenauigkeit und ermittelte schnell und effizient die optimale Bemessung der Förderraten für die einzelnen Pumpen des Entwässerungssystems. Wenn die Wucun-Mine abgesoffen war, wurden die Förderraten der Pumpen Nr. 1 (oder 2) sowie 3, 4, 5 und 6 auf 58, 150, 150, 180 bzw. 180 m3/h eingestellt. Der Energieverbrauch des Systems war minimal. Lag der Wasserspiegel in der Wucun-Mine unter – 40 m, wurde der geringste Energieverbrauch bei Förderraten der Pumpen 3, 4, 5, 6 und 7 von 150, 150, 180, 180 bzw. 58 m3/h ermittelt. Damit konnte der Nachteil überwunden werden, dass die Förderraten der Tauchmotorpumpen nur auf der Grundlage von Erfahrungswerten eingestellt wurden. Das sollte für viele künftige Grubenentwässerungsprojekte von Nutzen sein.
Resumen
Se diseñó un sistema de drenaje de aguas subterráneas compuesto por cinco puntos de drenaje y siete bombas sumergibles para aliviar la amenaza de inundación de 2,9 millones de m3 de agua de mina y un volumen de suministro de agua dinámico de 718 m3/h en la mina de carbón de Guhanshan. El objetivo principal del diseño era garantizar la seguridad de la producción. Se construyó un modelo matemático de programación óptima del sistema de drenaje de agua y se resolvió mediante un algoritmo mejorado de optimización de enjambre de partículas para minimizar el consumo de energía a largo plazo. El algoritmo tuvo una alta precisión de convergencia y alcanzó rápida y eficazmente la configuración óptima del volumen de bombeo del sistema de drenaje de la mina. Cuando la mina de Wucun estaba llena de agua, el caudal de las bombas sumergibles no. 1 (o 2) y las nº 3, 4, 5 y 6 se ajustaron a 58, 150, 150, 180 y 180 m3/h respectivamente, y el consumo energético del sistema fue mínimo. Cuando el nivel de agua en la mina de Wucun era inferior a -40 m, el consumo de energía más bajo se encontró cuando los caudales de las bombas nº 3, 4, 5, 6 y 7 se fijaron respectivamente en 150, 150, 180, 180 y 58 m3/h. Esto superó las deficiencias de ajustar el caudal de la bomba sumergible basándose únicamente en la experiencia pasada y debería ser útil para muchos proyectos futuros de drenaje de agua de minas.
概括
设计了由5个排水点和7台潜水泵组成的地下水排水系统, 以摆脱古汉山煤矿2.9 \(\times \) 106m3矿井水和718 m3/h动态补给量的水害水威胁。设计的主要目标是确保煤矿安全生产。利用改进的粒子群优化算法构建和求解了排水系统的优化调度数学模型, 以使系统的长期能源消耗最小。算法具有较高收敛精度, 快速有效地实现了矿井排水系统的泵量优化配置。当吴村矿完全充水时, 1号 (或2号) 潜水泵和3号、4号、5号、6号潜水泵的流量分别设为58 m3/h、150 m3/h、150 m3/h、180 m3/h和180 m3/h, 系统的能耗最小。当吴村矿水位低于-40m时, 3号、4号、5号、6号和7号泵流量分别设为150 m3/h、150 m3/h、180 m3/h、180 m3/h和58 m3/h, 能耗最低。研究克服了仅依据以往经验调整潜水泵流量的缺点, 将为许多未来矿井排水工程提供有益借鉴。
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Acknowledgements
We thank the anonymous reviewers and editors for their helpful comments. This study was financially supported by the National Natural Science Foundation of China (no. 41672240 and 41972254) and Henan Innovative Science and Technology Talents Team Construction Project (no. CXTD2016053), Fundamental Research Funds for Universities of Henan Province (no. NSFRF200103).
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Wang, X., Li, F., Kan, X. et al. Optimal Scheduling of a Mine Water Drainage System Based on Improved Particle Swarm Optimization Algorithm: A Case Study of the Guhanshan Coal Mine, China. Mine Water Environ 41, 475–486 (2022). https://doi.org/10.1007/s10230-022-00866-7
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DOI: https://doi.org/10.1007/s10230-022-00866-7