Analysis of Internal-caused Fire in the Stopes Based on Chain Variable Preci-sion Rough Fuzzy Set
Received date: 2021-09-14
Revised date: 2021-11-13
Online published: 2022-04-25
The sulpfur content of ores in an underground pyrrhotite is nearly 50%.Internal-caused fires are prone to happen in such mines because of ore spontaneous combustion，and the internal-caused fire has become a major hidden danger to the sofety production of mine enterprises.In the underground mine stopes，there are many complex factors affecting the internal-caused fire.It covers multiple levels of the situation about cause and effects of the fire in the stopes.Considering 9 influencing factors such as sulfur content and temperature of ore， the impact indicators，probabilities of spontaneous combustion and its results of the internal-caused fire in the typical stopes of the mine were statistically analyzed.Then a multi-level analysis index system for fire in the stopes was constructed，and the knowledge system of rough fuzzy set was established.The condition attribute of the model is the impact indicators of internal-caused fire，and the decision attribute of the model are consequences severity and judgement result of spontaneous combustion of internal-caused fire in the stopes.For the above two kinds of knowledge systems，the sample object sets of the stope is divided into classes by equivalence partitioning according to condition attributes and decision attributes.The classification quality of the conditional attribute set of the spontaneous combustion knowledge system and fire consequences knowledge system is 70% and 67% respectively.Then，the conditional attribute set is reduced by using the theory of variable precision rough fuzzy set.After a chain correlation decision-making analysis which contained the possibility of spontaneous combustion and the severity of the internal-caused fire consequences in the stopes，9 decision-making rules for spontaneous fire with a confidence level above 55% were obtained，and 5 decision-making rules for fire consequences in the stopes were also obtained with a confidence level above 50%.According to the cause-effect chain，the two classes of rules were merged and integrated，and 30 combination rules of the cause and effect of the internal-caused fire in the stopes were obtained.Examples show that this method can analyzes the problems scientifically and comprehensively，with uncertain probability of chain-related correlation levels such as internal-caused fire in the stopes.It can also provide guidance for mine analysis and response to fires in the stopes to ensure sofety production.At the same time，this method also reduces the probability of internal-caused fire in the stope of some mine enterprises.
Shan YANG , Mingke YUAN , Kaijun SU , Zitong XU . Analysis of Internal-caused Fire in the Stopes Based on Chain Variable Preci-sion Rough Fuzzy Set[J]. Gold Science and Technology, 2022 , 30(1) : 93 -104 . DOI: 10.11872/j.issn.1005-2518.2022.01.127
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