Study on dynamic evaluation method for reliability of mine ventilation system
In order to track and dynamically evaluate the reliability of the mine ventilation system,the improved AHP algorithm was used to determine the subjective weight,the entropy weight method was used to determine the objective weight,and the Scott-Hinsley algo-rithm was used to calculate the air network to obtain the ventilation system parameters.To solve the problem of high computational com-plexity and the need for a large number of evaluation experts in multiple tracking dynamic evaluations,a 2D cloud model was introduced for reliability evaluation.A 2D cloud model for dynamic evaluation of mine ventilation system reliability was established,which can a-chieve dynamic tracking and rapid evaluation of ventilation system reliability.The example shows that the evaluation result of this meth-od is scientific and reliable,and can reflect the reliability change state of ventilation system.The evaluation process is more concise when multiple evaluations are conducted,which can realize fast and accurate evaluation and provide technical support for mine ventila-tion management.
2D cloud modelreliability of ventilation systemair network calculationdynamic evaluation