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Gold Science and Technology ›› 2020, Vol. 28 ›› Issue (5): 753-760.doi: 10.11872/j.issn.1005-2518.2020.05.052

• Mining Technology and Mine Management • Previous Articles     Next Articles

Evaluation Research on Safety Guarantee Conditions of Underground Metal Mines Oriented to Optimizing Production Capacity

Meng WANG(),Xiuzhi SHI(),Shu ZHANG   

  1. School of Resources and Safety Engineering,Central South University,Changsha 410083,Hunan,China
  • Received:2020-03-04 Revised:2020-05-08 Online:2020-10-31 Published:2020-11-05
  • Contact: Xiuzhi SHI E-mail:wangmeng95@csu.edu.cn;baopo@csu.edu.cn

Abstract:

Mineral resources are an important pillar of China’s development.Industries based on mineral resources occupy half of the national economic development.However,with the long-term exploitation of mineral resources in China,many mines have encountered various production and safety issues.Poor resource conditions,aging production equipment,poor management capabilities,and many safety accidents have brought problems to the development of China’s mines and have become a huge hidden danger.In recent years,with the rising demand for healthy and safe mine environment in China’s mines,the relationship between safety guarantee conditions and the production capacity of mines has become closer and closer.The optimization of mine safety guarantee conditions and the scientific and rational formulation of production capacity targets becomes particularly important.Based on the characteristics of the production capacity of underground metal mines,this paper establishes the “human,machine,material,environmental,and pipe” safety guarantee research and evaluation model of underground metal mines related to production capacity through the methods of literature survey,field investigation,and expert interviews.The calculation characteristics of the model calculation process were designed and demonstrated by comprehensively utilizing the calculation characteristics of entropy weight-analytic hierarchy process,accident tree and LEC method.Finally,taking an underground lead-zinc mine in China as an example,the research was conducted from three aspects,including the research on calculation and evaluation of the current safety assurance status score under the existing production capacity,evaluation and result verification of the ability to complete different production targets under current security conditions,and production capacity target formulation in the next 3 years.The evaluation results show that under the existing production conditions,if the mine want to rapidly improve the safety guarantee conditions,it is necessary to prioritize the reduction of the number of underground operators,reduce the violation rate of the operators,reduce the length of underground operations,optimize the conditions of underground mining,and rationally optimize the mining structure,and so on;The mine’s optimal production targets from 2020 to 2022 should be located at about 138 000 t/a,137 000 t/a,and 133 000 t/a,respectively.The comparison between the evaluation results and the facts proves that the evaluation results are consistent with the actual situation of the mine and can provide reference and guidance significance for the actual production of the mine.Therefore,the evaluation method can provide an effective basis and direction for mine capacity optimization,self-evaluation and improvement of safety guarantee capabilities.

Key words: underground metal mine, capacity, analytic hierarchy process, entropy weight method, safety guarantee, index system, degree of safety

CLC Number: 

  • TD73

Fig.1

Evaluation index system of safety guarantee level for underground metal mine"

Table 1

Average random consistency index value"

nRInRI
1061.24
2071.32
30.5881.41
40.991.45
51.12

Table 2

Index score interval table"

指标得分区间指标得分区间指标得分区间指标得分区间
C1(0-17]C11(0-28]B10(0-10]C26(0-20]
C2(0-47]C12(0-25]B11(0-10]C27(0-28]
C3(0-10]C13(0-10]B12(0-10]C28(0-30]
C4(0-10]C14(0-10]B13(0-10]B16(0-10]
B3(0-36]C15(0-10]B14(0-10]B17(0-10]
C5(0-31]C16(0-10]B15(0-10]B18(0-10]
C6(0-69]C17(0-10]C21(0-24]B19(0-10]
C7(0-10]C18(0-10]C22(0-32]B21(0-10]
C8(0-15]C19(0-10]C23(0-26]
C9(0-8]C20(0-10]C24(0-18]
C10(0-14]B9(0-10]C25(0-22]

Table 3

Expert scoring results and weight"

指标得分联合权重指标得分联合权重
B1--0.4003C19.60.48680.2558
B2--0.5997C229.40.51320.7442
B319.8-0.6055C37.10.46970.5434
B4--0.3945C49.10.53030.4566
B5--0.1929C521.50.50000.3119
B6--0.312C648.90.50000.6881
B7--0.2139C7100.15780.2945
B8--0.2813C8150.17020.154
B9100.13850.1588C97.10.16480.2402
B109.20.14870.1231C10140.17130.1395
B11100.13940.1462C11260.16840.0755
B12100.14530.1706C12250.16750.0963
B131.20.15120.1054C1390.24710.2355
B1460.13930.1481C148.20.24860.3569
B1550.13760.1476C15100.25090.2214
B1610-0.2561C16100.25340.1862
B178.8-0.1828C17100.52720.3581
B189-0.1155C187.90.47280.6419
B198.8-0.142C199.70.52720.5205
B20--0.0691C208.40.47280.4795
B217-0.168C2122.3-0.2408
B22--0.0664C2228.3-0.321
C2317.2-0.2574
C2411.4-0.1809
C2522-0.2216
C2619.2-0.1967
C2726.2-0.2791
C2830-0.3026

Fig.2

Ranking of the importance of indicators"

Fig.3

Trend chart of evaluation target scores under different capacity scenarios"

Fig.4

Trend chart of evaluation target scores under different capacity plans from 2020 to 2022"

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