Design of multivariate early warning management system for fully-mechanized coal mining equipment
-
摘要: 针对目前综采设备管理方式存在准确性差、效率低、时效性差等问题，设计了一种综采设备多元预警管理系统。该系统通过采集设备、人员、生产、工作面等多元数据，全面分析设备事故、设备异常及维护、设备修理及更换等数据规律，综合评估设备运行状况，实现对设备事故的预警预报、有计划地主动检修、备品配件采购指导。该系统有效降低了综采设备故障率，提高了企业的设备管理水平。Abstract: In view of problems of low accuracy, low efficiency and poor timeliness in current management mode of fully-mechanized coal mining equipment, a multivariate early warning management system for fully-mechanized coal mining equipment was designed. The system comprehensively analyzes data rules of equipment accident, equipment abnormality and maintenance, equipment repair and replacement and evaluates equipment operation state by collecting multivariate data from equipmen, personnel, production and working face, so as to realize early warning and prediction of equipment accident, planned active maintenance and spare parts procurement guidance. The system effectively reduces failure rate of fully-mechanized coal mining equipment and improves equipment management level of enterprise.
-
-
期刊类型引用(3)
1. 王鑫. 综采机电事故规律探索及防控. 科技与创新. 2023(18): 123-126 . 
百度学术
2. 汪卓俊，周建文，钱伟，朱汉平，张洁. 基于多层准入控制的内网物资采购信息化平台. 吉林大学学报(信息科学版). 2021(06): 706-711 . 百度学术
3. 崔希国，韩安. 基于RFID的煤矿设备巡检系统设计. 工矿自动化. 2018(10): 77-80 . 本站查看
其他类型引用(1)
计量
- 文章访问数: 64
- HTML全文浏览量: 15
- PDF下载量: 11
- 被引次数: 4
下载:
