摘要详情
8 / 2023-03-10 14:23:06
A design approach of panel size for the cooperative development of cropland protection and coal mining in a coal-cropland overlapping area
Coal-cropland overlapping area, Cropland protection, Partial backfilling mining, Design approach of panel size, Improved particle swarm optimization, Surface subsidence
全文待审
Cropland is the foundation of food security. Coal is the guarantee of energy security. China has a large population and a high demand for energy. Coal has long been a key source of energy for China. Although the Chinese government is actively pursuing carbon-reduction policies, the status of coal as the dominant energy source cannot be changed immediately. Likewise, as China's population grows, so does the demand for food. Cropland is the foundation of food security. In China, the overlapping areas of coal mining and grain production bases continue to increase. The area of coal-cropland overlapping area accounts for 42.7% of the total cropland area. Unfettered underground mining can wreak havoc on cropland, leading to increasing conflicts between coal mining and food production. Conventional land reclamation techniques in a mining area make it difficult to achieve a 100% reclamation rate of cropland. To address this issue, in this study, subsidence control techniques of underground backfilling mining are used to protect cropland in a mining area. Backfilling mining technology is generally applied to protect important buildings or structures in mining areas. It has higher production costs and is less production efficient than the caving mining method. Cropland is more tolerant of subsidence and deformation than buildings. Therefore, if all the extraction areas under the cropland adopt the backfilling mining method, the production cost will be too high. Therefore, this study will attempt to extract coal under cropland using a partial backfilling mining method. The method relies on the strip backfilling body as the support body to divide the extraction region into multiple subcritical caving mining panels. Because of the relatively small size of each caving mining panel, it is not sufficient to cause large-scale damage to the overlying strata and thus achieve cropland protection. In addition, this subsidence control method also reduces the cost of backfilling mining and improves the resource recovery rate. When this method is used for surface subsidence control, the larger the size of the backfilling mining panel, the lower the level of mining damage to the cropland, but the cost of coal mining increases and the efficiency of production decreases; conversely, the smaller the size of the backfilling mining panel, the more efficient the production, but the greater the damage to the cropland. Thus, the key to the successful implementation of the method is how to design the strip backfilling mining panel size and subcritical caving mining panel size to achieve the dual goals of cropland protection and production cost reduction. The enumeration method is frequently used in the design of mining subsidence engineering schemes. However, conventional enumeration methods are less efficient in design and heavy in effort. Intelligent optimization algorithms can effectively avoid these issues and quickly find the optimal solution to engineering problems. However, few studies have reported how this algorithm can be applied in the design of mining schemes. Therefore, this paper proposed a design approach for panel size based on an improved particle swarm algorithm. In this approach, the optimal objective is to save backfilling mining costs, and the constraints are to control the damage to the cropland and to ensure the stability of the strip backfilling body. The improved particle swarm optimization algorithm is used to search for the optimal size for strip backfilling mining and subcritical caving mining panel. The results indicated that the design approach could quickly find the optimal size of the panel compared with the enumeration method. Moreover, suppose the panels are mined according to the size designed by the approach. In that case, it not only protects the cropland but also saves the cost of backfilling mining to the maximum extent and improves production efficiency. This study can provide technical support for the cooperative development of cropland protection and coal mining in a coal-cropland overlapping area.
重要日期
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会议日期
10月26日
2023
至10月29日
2023
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10月15日 2023
摘要截稿日期
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10月15日 2023
初稿截稿日期
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11月13日 2023
注册截止日期
主办单位
国际矿山测量协会
中国煤炭学会
中国测绘学会
中国煤炭学会
中国测绘学会
承办单位
中国矿业大学
中国煤炭科工集团有限公司
中国煤炭科工集团有限公司
