Design of multivariate early warning management system for fully-mechanized coal mining equipment

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.

Keywords

• fully-mechanized coal mining equipment
• equipment management
• multivariate data
• early warning