矿山通风系统能效优化与智能调控策略
Energy efficiency optimization and intelligent control strategies for mine ventilation systems
ES评分 0
| DOI |
10.12208/j.sdr.20250166 |
| 刊名 |
Scientific Development Research
|
| 年，卷(期) |
2025, 5(4) |
| 作者 |
|
| 作者单位 |
山西世德孙家沟煤矿有限公司 山西忻州
|
| 摘要 |
矿山通风系统在提高采矿作业环境安全性和生产效率方面发挥着至关重要的作用。为了优化矿山通风系统的能效，降低能耗并提高通风系统的稳定性，采用智能调控策略成为了一种有效的解决方案。本研究提出了一种基于数据分析与智能算法相结合的矿山通风系统优化策略，结合传感器网络技术和机器学习方法，通过实时监控矿山环境参数，实现对通风系统的智能调节，确保系统能效最优化。该方法能够有效平衡空气流量和能源消耗，提高矿山通风的整体运行效率，具有显著的经济和环保效益。
|
| Abstract |
Mine ventilation systems play a crucial role in enhancing the safety of mining operations and improving production efficiency. To optimize the energy efficiency of mine ventilation systems, reduce energy consumption, and enhance system stability, the adoption of intelligent control strategies has emerged as an effective solution. This study proposes an optimization strategy for mine ventilation systems that combines data analysis with intelligent algorithms. Integrating sensor network technology and machine learning methods, the strategy enables real-time monitoring of mine environmental parameters to achieve intelligent regulation of ventilation systems, ensuring optimal energy efficiency. This approach can effectively balance air flow and energy consumption, improve the overall operational efficiency of mine ventilation, and yield significant economic and environmental benefits.
|
| 关键词 |
矿山通风系统；能效优化；智能调控；机器学习；传感器网络
|
| KeyWord |
Mine ventilation system; Energy efficiency optimization; Intelligent control; Machine learning; Sensor network
|
| 基金项目 |
|
| 页码 |
118-120 |
刘吉升*.
矿山通风系统能效优化与智能调控策略 [J].
科学发展研究.
2025; 5; (4).
118 - 120.