With the transformation of the national energy strategy, a large number of closed/abandoned mines generate under the background of overcapacity reduction, mines closure/abandoning and the demand of high-quality development in the coal industry. In view of the fact that there is currently no complete system of classification utilization and grade evaluation for closed/abandoned mines in China, and the domestic energy structure is still dominated by coal in the short term, aiming at the classified utilization and grade evaluation of closed/abandoned mines, using the Adaboost iterative algorithm, a probability level model for the utilization of closed/abandoned mines was established. It was found that the classified utilization of closed/abandoned mines can be divided as follows:closed/abandoned mines ecological civilization development, underground space development and utilization, remaining media resources development and utilization, groundwater resources development and utilization, complementary energy (gas, oil, water and light) development and utilization. 20 classification parameters are selected as grade evaluation indicators for closed/abandoned mines, and a preliminary database of closed/abandoned mine resources in China is constructed. The closed/abandoned mine green resources evaluation technology system is established, and the scientific concept of intelligent and precise development of closed/abandoned mines is proposed. The research can promote the accurate and intelligent mining of closed/abandoned mines and the urban transformation and development.
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