Optimization of mine fire rescue path based on multivariate information evaluatio

Abstract

In view of problems that coal mine underground fire rescue model is too complicated, study of roadway safety coefficient is not deep enough and roadway traffic network connectivity after disaster is not considered, a mine fire rescue path optimization model based on multivariate information evaluation was established. Quantitative analysis and calculation of environmental safety factors after fire were carried out such as temperature, gas concentration and smoke visibility in roadway. Taking safety and reliability as constraints, mine fire rescue path optimization model was constructed combined with traffic weight and connectivity of roadway traffic network, and Dijkstra algorithm was used to get the optimal path. Taking a mine in Huainan as an example, the shortest path considering connectivity and safety factor of the node, the rescue path considering only safety factor, and the rescue path without considering safety factor and connectivity were compared and analyzed. The results show that the safest and most effective route is the path obtained by considering safety factor of the roadway and connectivity of the nodes.

Keywords

• mine fire rescue
• safety factor of roadway
• roadway traffic network connectivity
• path optimization
• multivariate information evaluatio