As an important energy material, mineral resources have an important role in the rapid growth of the national economy. In recent years, with the enhancement of mining strength and the improvement of mechanized production level, the depth of mining has also increased year by year. Therefore, the number of heat hazards in deep mine mining has increased year by year, and the problem of heat loss in deep mines has become increasingly prominent, which has seriously affected the safe and efficient production of mines. In this paper, the application of nanoporous super insulation materials in the prevention of thermal damage in deep mining of metal mines is studied, and the related theories of nanoporous super insulation materials and the prevention of thermal damage in deep mining of metal mines are understood on the basis of literature data. Nanoporous thermal insulation materials refer to thermal insulation materials with pore diameters in the nanometer range. This material can effectively prevent the collision of gas molecules and prevent the heat conduction of the gas. Then, the application experiment of nanoporous super thermal insulation materials in the prevention and control of heat damage in deep mining of metal mines is carried out. Through experiments, it is concluded that the room temperature thermal conductivity of the experimental material decreases with the increase of the addition of SiO2 aerogel, and the downward trend is linear, and when the heat source temperature is 200°C, the coating surface temperature of the thermal insulation material (excluding aerogel) is 100°C, and the thermal insulation temperature difference is 100°C, while when the coating surface temperature of the aerogel thermal insulation coating is only 60°C, the thermal insulation temperature difference is 140°C. From these data, it can be seen that the thermal insulation performance of nanoporous super thermal insulation materials is better, which verifies the feasibility of its application in the prevention of heat damage in metal mine mining.

Seeking an efficient and reasonable evaluation method to determine the current evaluation situation of water resources can maximize the protection and utilization of water resources. This paper analyzes the characteristics of previous GIS technology in the evaluation of surface water resources and proposes the establishment of a GIS evaluation optimization model based on security intelligence perspective for the problems of information redundancy and low transmission efficiency of this evaluation method. Firstly, the feasibility and science of constructing a new model under the perspective of security intelligence is discussed, secondly, the development and application of security intelligence theory and the workflow of GIS technology in evaluating surface water resources are reviewed, and finally, the cycle chain of surface water resources evaluation and the optimization model of surface water resources evaluation based on GIS under the perspective of security intelligence are established, and the traditional surface water resources security management system is combined with security intelligence. The security intelligence subsystem and security management subsystem of surface water resources in the intelligence perspective are constructed. The study shows that the surface water resource evaluation model established by GIS technology under the perspective of security intelligence can make up for the deficiencies in information sharing and data standardization of common surface water resource evaluation models, solve the problems of redundancy of massive information and distortion of evaluation results, and provide suggestions for surface water resource evaluation decisions in a certain region or a certain basin.

The problem of heat damage in deep mine has become a hot issue in deep mining, and the research of reasonable and efficient heat barrier structure and better performance heat insulation materials can reduce the influence of high temperature environment to some extent. Firstly, based on the principle of heat transfer, we designed an overall coupled thermal barrier ring based on the analysis of the heat transfer mechanism of the surrounding rocks and carried out an in-depth analysis of the main factors of the structure, and developed a lightweight and durable thermal insulation material by mixing a high proportion of tailing with the solid waste conditions of the mine. Secondly, orthogonal tests were carried out to test the thermal parameters of different ratios of insulation materials, and the optimal horizontal ratio was obtained based on various analysis methods and consideration of the priority of each factor: 60 parts of tailings, 10% of glass beads, 2 parts of foaming agent, 15 parts of cement, and1% of cementitious materials with polyantelic acid water reducing agent. The study shows that the composite surrounding rock thermal barrier ring designed for the working conditions and the optimal ratio of surface insulation materials obtained from orthogonal test analysis can realize active cooling, create a comfortable environment for underground operation while saving costs, and also provide suggestions of measures for the management of thermal environment in the prominent thermal hazard mine.

In order to ensure the safe mining of kilometer mining working surface threatened by impact ground pressure, a metal mine ground pressure monitoring and early warning based on deep learning data analysis are proposed. This paper expounds the theoretical basis of rock burst, analyzes the inducing factors of deep well rock burst, analyzes and introduces the classification of rock burst, focuses on the progressive failure process of rock burst and standard of rock fracture depth of deep ore and rock in a metal mine, carries out triaxial stress-strain test on the core in the laboratory, and evaluates the tendency of rock burst for deep ore and rock through elastic strain generation, strength brittleness coefficient method, and deformation brittleness coefficient method. The real-time monitoring and early warning system of rock burst can monitor the dynamic change of advance stress in the working face in real time and give real-time early warning to the dangerous area and degree of rock burst. The experimental results show that the working face enters the fault affected area when it advances 170 m in front of the fault. When the working face advances to 100 m in front of the fault, it enters the high stress area formed by the superposition of fault tectonic stress and mining stress. When the working face advances to 40 m in front of the fault, the stress reaches the maximum. Therefore, the system can accurately predict the impact risk area and its risk degree and realize the safe mining of high impact risk face.