Coal Mine Equipment Safety Status Prediction Model Based on Improved Association Rules
The safe production of coal mines is related to the stability of social public safety.In order to improve the safety oper-ation and management level of coal mining enterprises,a safety state prediction model was designed based on association rules and particle swarm optimization algorithm to fully explore the representation information in the operation status data.The ex-perimental results show that the improved Apriori algorithm designed in the study performs better in terms of execution efficien-cy and rule mining quantity,with only 23 seconds of simultaneous execution of 120000 data mining.The prediction error has a relative advantage over other prediction models,with an error value of less than 0.3.The design of the research is of great sig-nificance for ensuring production safety and improving production efficiency in coal mining enterprises.
万方数据
维普
