首页|极寒地区大型选矿厂智能通风系统研发与应用

极寒地区大型选矿厂智能通风系统研发与应用

扫码查看
东北极寒地区大型选矿厂冬季封闭保温需求高,造成浮选车间通风不畅,引起夏季室内高温、选矿药剂气味滞留和浮选泡沫爆裂产尘聚集,严重威胁了车间作业人员职业健康.以东北某金属选矿厂为例,提出"疏通风流通道、调节通风流向、智能高效调风"的技术思路,开发了以顶部自动通风天窗、车间下部智能调风系统、车间环境监控系统组成的智能通风系统,解决了大型封闭车间温度、气味和粉尘聚集带来的职业健康威胁.通过现场试验和数值模拟等手段探明了通风系统性能,采用机器学习方法优化了车间风流调控策略,并制定了车间智能通风方案.结果表明:该系统通风效果显著,完全满足浮选车间的空气质量控制要求;在春秋两季只需启用内外侧 4 台风机,即可实现低能耗下的车间最优风流调控;基于原型网络与多标签分类方法建立的风机启动项智能判别模型能根据车间各处的温度显示自动选择合适的风机启动项,其预测精度达到 87.69%,为管理人员选择风机最优启动项提供了依据.
Development and Application of Intelligent Ventilation System for Mammoth Mill in Extremely Cold Regions
In the extreme cold area of Northeastern China,large concentrator has high demand for closed insulation in winter,resulting in poor ventilation of flotation workshop,high indoor temperature,odor retention of mineral processing agents and dust accumulation from flotation foam bursting in summer,which seriously threatens the occupational health of workshop workers.Taking a metal concentrator in Northeastern China as an example,the technical idea of"dreggling air flow channels,regulating ventilation flow direction,intelligent and efficient air regulation"was put forward.An intelligent ventilation system composed of automatic ventilation skylight at the top,intelligent air regulation system at the lower part of the workshop,and workshop environment monitoring system was developed to solve the occupational health threat caused by temperature,odor and dust accumulation in a large closed workshop.The performance of the ventilation system was verified by field test and numerical simulation,the control strategy of workshop air flow was optimized by machine learning method,and the intelligent ventilation scheme was developed.The results show that the ventilation effect of the system is remarkable,and it fully meets the air quality control requirements of the flotation workshop.In the spring and autumn seasons,only 4 fans inside and outside can be used to achieve the optimal air flow control of the workshop under low energy consumption;The intelligent identification model based on prototype network and multi-label classification method can automatically select the appropriate fan startup according to the temperature display in all parts of the workshop,and its prediction accuracy reaches 87.69%,which provides a basis for man-agers to select the optimal fan startup.

intelligent ventilationdust removal and coolingprototype networkmulti-label classification

宋政文、费圣城、朱国燕、张龙、魏涛、刘洋、李小川

展开 >

伊春鹿鸣矿业有限公司,黑龙江 伊春 152500

中国矿业大学化工学院,江苏 徐州 221116

中国安全生产科学研究院,北京 110012

华北电力大学核科学与工程学院,北京 102206

展开 >

智能通风 除尘降温 原型网络 多标签分类

2024

金属矿山
中钢集团马鞍山矿山研究院 中国金属学会

金属矿山

CSTPCD北大核心
影响因子:0.935
ISSN:1001-1250
年,卷(期):2024.(11)