Considering the fuzziness and uncertainty of the evaluation of rockburst emergency management capability in deep mine roadway, a comprehensive decision analysis model based on combination weighting and two-tuple linguistic was established. Firstly, based on the PPRR theory, 18 important influencing factors were selected to construct a multi-level evaluation system for rockburst emergency management capability. Then, the comprehensive weight of the index was determined by the combination of interval analytic hierarchy process and two-tuple linguistic entropy weight method. Based on the principle of two-tuple linguistic, the language information of decision makers was reasonably processed, and the emergency management capability level was comprehensively determined by calculating the comprehensive evaluation value. Finally, using the established comprehensive decision-making model, taking a copper-iron mine as an example, the comprehensive analysis of the level of rockburst emergency management capability was carried out. The results show that the comprehensive weighted average evaluation value of the mine's rockburst emergency management capability is 0.169 4, which belongs to the “general” level. Especially for the two first-level indicators of emergency prevention and emergency preparedness, the weighted average evaluation values are 0.049 3 and 0.131 8, respectively. It is necessary to further improve them by improving the organizational system, strengthening the investigation of hidden danger points, regularly checking the status of supporting facilities, and increasing the input of production measures. The research results provide a new idea for the evaluation of rockburst emergency management capability.

The stability of tailings dam is directly related to the safety of the surrounding environment and personnel. Rainfall is an important factor affecting the stability of tailings dams. Under different rainfall conditions, the hydrological, mechanical and deformation characteristics of tailings dams will change significantly. The mechanical parameters and permeability coefficient of each soil layer of the tailings dam were determined by laboratory tests. Combined with the simulation analysis of pore water pressure distribution and seepage characteristics under rainfall conditions, the stability of tailings dams under different rainfall intensities and rainfall durations was studied. The results show that the greater the rainfall intensity and the longer the duration, the wider the depth and range of water infiltration, and the more obvious the change in the stress distribution inside the dam body, thus affecting the overall stability of the dam body. Rainfall will not only increase the humidity of the surface layer of the tailings dam, but also increase the pore water pressure of the soil. It will also weaken the shear forces between the layered structures of the dam body, increase the risk of dam instability, and thus reveal the instability mechanism of the tailings dam under rainfall. The research results provide a reference for the design and risk assessment of tailings dams.

The influence mechanism of fine grain content on static liquefaction characteristics of soil is complex and deeply affected by soil properties. In view of the large number of iron tailings reservoirs in the Panzhihua area in the upper reaches of the Yangtze River, an in-depth understanding of their static liquefaction characteristics is essential to ensure the safety of tailings reservoirs. Therefore, in order to explore the influence of different fine grain contents on the static liquefaction characteristics of iron tailings in Panzhihua area, the iron tailings with fine grain contents of 0, 20％, 40％, 60％ and 100％ were studied by consolidated undrained triaxial test. The influence of fine grain content on the stress-strain behavior, static liquefaction potential and critical state line of iron tailings were analyzed. The test results show that the fine grain content has a significant effect on the static liquefaction characteristics of iron tailings. The anti-liquefaction ability of iron tailings increases first, then decreases, and then increases with the increase of fine grain content. There are two thresholds in this process, and the threshold decreases with the increase of confining pressure. According to the critical state line, Panzhihua iron tailings are most easily liquefied when the fine grain content is 60％. This study can provide a reference for further understanding the static liquefaction characteristics of iron tailings reservoirs in Panzhihua area.

The project of mine environmental treatment is an important link to promote green development, and it is very important to study how to game and coordinate the relevant stakeholders to promote the green development of mines. First of all, based on the perspective of stakeholders of mine environmental treatment, with the help of evolutionary game tools of limited rationality, a tripartite evolutionary game model of mine environmental treatment was constructed among local governments, mining enterprises and local residents. Secondly, the actual operation data of a mine company in Xiangxi, Hunan Province were introduced, and the long-term dynamic game process of stakeholders was modeled and analyzed in combination with system dynamics, so as to study the influencing factors of the behavior strategy of the main body of mining environmental treatment. The research results show that the five influencing factors of the intensity of government subsidies to enterprises, the intensity of government punishment on enterprises, enterprise public relations costs, additional cost-benefit differences for enterprises, and residents' supervision will all have an impact on the strategic choices of stakeholders. From the perspective of stakeholders, targeted measures and suggestions for mine environmental treatment are formulated according to five influencing factors, in order to provide reference for decision makers' mine environmental treatment strategies. According to the research results, it is expected to put forward the optimal operation mode and sustainable development path of mine environmental treatment, and promote the sustainable development of mine in economy, society and environment.

The reasonable selection of mining and transportation equipment for potassium salt mines is related to the realization of production capacity and the control of mining costs. In order to comprehensively and scientifically optimize mining and transportation equipment scheme for potassium salt mines, the interval analytic hierarchy process was used to construct the optimization index system, and the weights of the optimization indicators were analyzed and calculated. A multi-objective optimization model for mining and transportation equipment schemes in potassium salt mine was constructed using fuzzy matter-element analysis method. The comprehensive relative subordination degree of each alternative scheme of mining and transportation equipment in potassium salt mine was analyzed and calculated. The results show that factors such as purchase investment, mining and transportation capacity, and mining cost have a significant impact on the optimization of mining and transportation equipment schemes for potassium salt mines, while factors such as pollutant emissions, handling performance, and reliability have a relatively small impact on the optimization of mining equipment schemes for potassium salt mines. The scheme of continuous mining machine+diesel shuttle truck (Scheme 2) has the highest comprehensive relative subordination degree among the four schemes, and is determined to be the optimal scheme. The mining and transportation costs, safety, and environmental friendliness of Scheme 2 are superior to the previous usage scheme of the mine, and the mining and transportation costs and pollutant emissions have been reduced by 1.4 yuan/t and 6 percentage points respectively, with a 10 percentage points improvement in safety performance. The research results have demonstrated that the interval analytic hierarchy process and fuzzy matter-element analysis method can provide a more scientific and reasonable selection of mining and transportation equipment schemes for potassium salt mines, thereby providing reference and guidance for potassium salt enterprises to improve their economic and comprehensive benefits.

In the multi-branch hole drilling operation, the directional drill pipe joint frequently fails due to repeated bending. The finite element analysis method was used to simulate the mechanical behavior of the directional drill pipe joint under bending load, and the stress distribution law of the directional drill pipe joint was obtained. Based on this, a new type of anti-bending drill pipe joint structure was proposed, and the difference between the bending and bending load resistance performance of the new type of anti-bending drill pipe joint and the ordinary drill pipe joint was compared by the finite element model. The results show that under the same bending angle, the maximum stress value of the anti-bending drill pipe joint is reduced by 27％-60％. Under the action of 100 kN transverse force, the maximum stress value of the anti-bending drill pipe joint is reduced by more than 99 MPa. It can be seen that the new anti-bending drill pipe joint is superior to the ordinary drill pipe joint in terms of bending performance and bending load. Through the drill pipe bending test, the detailed stress distribution data of the joint position are obtained. The comparative analysis shows that the error between the experimental data and the numerical simulation results is controlled within 12.52％, which verifies the effectiveness of the numerical simulation method. The research results provide an optimization scheme for the design of directional drill pipe joints, which is of great significance to reduce the possibility of joint failure in directional drilling operations and improve the safety and efficiency of operations.

The hoisting sheave device is a key component used in the mine hoisting system to change the direction, support, and transmit power of the steel wire rope. Its performance directly affects the operational safety and work efficiency of the hoisting system. In response to the strong impact and high stress issues brought about by the development of mine hoisting systems towards deeper, faster, and heavier loads, taken the 1 547.5 m deep mine hoisting system of Shaling Gold Mine as research object, the optimization of the hoisting sheave structure of hoisting system was carried out to reduce stress concentration and ensure the safe and stable operation of the hoisting system. Firstly, based on the theoretical principle of minimizing the start-up impact, the key kinematic parameters of the hoisting sheave were calculated using a trapezoidal acceleration control curve. Then, ABAQUS software was used to perform transient dynamic analysis on the hoisting sheave. Finally, the design of the hoisting sheave structure was optimized to alleviate its stress concentration phenomenon. The results indicate that the trapezoidal acceleration control curve can effectively control the impact load during the start-up and braking phases of the hoisting system. There is a significant stress concentration phenomenon at the connection between the spokes, rim, and hub of the hoisting sheave, with a maximum stress of 3.576 MPa. Adding transitional round corners at the connection between the spokes, rim, and hub of the hoisting sheave structure can significantly improve stress distribution. When the transitional round corner radius is 40 mm, the stress value on the hoisting sheave is reduced by 22.13％ compared to the original structure. Therefore, a suitable transitional round corner design can effectively optimize the stress distribution of the hoisting sheave structure and improve the operational stability and reliability of the mine hoisting system.

To address the issues of low automation, high labor intensity, inefficiency, and significant safety risks in traditional shaft drilling operations, which rely on manual assistance for drill pipe handling and conveying, an automated solution was proposed to meet the requirements of single-shift unmanned shaft drilling. This solution encompasses “drill pipe conveying, drill pipe grabbing, drill pipe transportation, and drill pipe unloading”. Firstly, by analyzing the automatic conveying process of the drill pipe in the shaft drilling, the functional requirements and motion characteristics of the automatic conveying of the drill pipe were clarified. Secondly, an automatic drill pipe conveying device and a hydraulic manipulator were developed, and their strength was verified using finite element analysis software. Finally, the hydraulic control system for automatic conveying and its control logic were studied, and the feasibility of the technology was verified through on-site application. Production practice have shown that the automatic conveying technology of drill pipe for shaft drilling has good positioning accuracy, motion performance and stability, and can realize accurate and quick conveying, grabbing, transporting, and storing drill pipes. This technology can reduce the number of workers, decrease the safety risks, and improve comprehensive operational efficiency, meeting the practical engineering needs of efficient construction of single-shift shaft unmanned drilling.

To enhance the data parsing capability of mining machinery equipment based on the OPC UA network communication protocol, an OPC UA information parsing method based on multi-hop intelligent retrieval for mining machinery equipment was proposed. Firstly, a multi-hop intelligent retrieval model tailored for mining machinery equipment was designed in this method, which integrated GCN and RoBERTa networks to achieve multi-hop reasoning of equipment entities, thereby inferring unknown entity relationships and attributes. On this basis, an OPC UA-based system information model architecture was constructed, divided into four sub-models, including basic functional components, production equipment information models, operational progress information models, and safety monitoring information models. The sensor components of the machinery equipment were also instantiated and parsed. Finally, experimental analysis of the multi-hop intelligent retrieval model was conducted, and the OPC UA-based intelligent system information model was tested and validated. The results show that, compared to the relatively optimal MIMKGISI multi-hop intelligent retrieval method, the Hit@1 performance metric is improved by 1.7 percentage points in short-term contexts, the Hit@5 performance metric is improved by 1.2 percentage points, and the Hit@10 performance metric remains largely unchanged in long-term contexts.

To enhance the efficiency of mine ore blending and resource utilization, based on the beluga whale optimization algorithm (BWO), an improved beluga whale optimization algorithm (IBWO) combining chaotic mapping and Levy flight strategy was proposed, and compared with POS algorithm, WOA algorithm, SSA algorithm and BWO algorithm. The results show that compared with the other four algorithms, the IBWO algorithm has obvious advantages in convergence speed and global optimal solution search ability, and the convergence speed is increased by 31.2％－165.9％. The numerical simulation results of ore blending optimization show that the average profit of IBWO algorithm is 25.06 million yuan at 31 iterations, and the profit is increased by 14.69％－17.93％. The research results provide a new solution path for the optimization of mine ore blending, and are expected to provide a theoretical basis for the efficient utilization of resources and the improvement of economic benefits in mining production.