Due to the change in ore properties of a certain hard rock uranium mine with the increase of mining depth, the heap leaching process of the ore encountered the problem of heap scaling. In order to solve the problem, the effects of leaching agent acidity, spray intensity, column height and particle size on heap scaling were studied. The results show that when the acidity of the leaching agent is 50.0 g/L, the spray intensity is 40.0 L/(m²·h), and the leaching period is 30 days, there is no scaling in the column leaching test, and the uranium leaching rate of -10 mm ore reaches 83.40%. The results of the 800 t ore pilot test confirms that there is no scaling in the heap with high acidity and large spray intensity, and the uranium leaching rate reaches 86.57%.

The core equipment of the stable rotation method for separating ⁷⁶Ge isotopes is the stable rotation machine. The normal and stable operation of the stable rotation machine is a key element to ensure the smooth progress of the entire production process. The main indicator for measuring the normal operation of the stable rotation machine is whether the speed of the stable rotation machine per minute is within a reasonable range, which is monitored by the stabilizer speed measurement system. Since the official launch of the speed measurement system, its performance in monitoring the speed and friction power consumption of the stable rotation machine has been outstanding. However, there is a drawback that when the system detects abnormal speed data of the stable rotation machine, it fails to automatically trigger the program to protect the stabilizing machine. In response to this deficiency, this article elaborates on the various functions of the speed measurement system, delves into the problem of the speed measurement system being unable to automatically execute protection programs when monitoring abnormal situations in the stable rotation machine, realizes the data communication docking between the speed measurement system and the DCS system based on MODBUS/TCP protocol, and completes the corresponding configuration programming work in the DCS system. After using the improved rotating speed measurement system, once the system detects fault protection signals such as single unit out of step/group out of step, single unit damage/group damage in the stabilizing machine, these signals will be transmitted in real time to the DCS control system. The DCS system immediately issues an accident alarm and activates the protection interlock program, successfully solving the problem of the speed measurement system being unable to protect the stabilizing machine in abnormal situations, effectively preventing damage to the stable rotation machine, and improving the safety performance of the system.

During the production of nuclear fuel elements, hydrofluoric acid solutions with high concentration of uranium are generated. According to the requirements of the National Nuclear Safety Administration (Guoheanfa 〔2023〕 No. 158), hydrofluoric acid solutions with uranium concentrations below 0.2 mg/L can be released from regulatory control. To meet national regulatory requirements, this study utilized a hydrofluoric acid-resistant resin functionalized with specific groups to investigate its uranium adsorption performance in uranium-containing hydrofluoric acid under static and dynamic conditions. The resin’s resistance to hydrofluoric acid corrosion, saturated adsorption capacity, desorption efficiency, and reusability were systematically evaluated. The results show that the uranium concentration in hydrofluoric acid treated with this resin is reduced to below 0.2 mg/L, meeting the regulatory release criteria. Furthermore, the resin exhibits no significant decline in uranium adsorption capacity after 10 adsorption-desorption cycles. These findings provide a foundation for subsequent large-scale engineering applications.

In-situ leaching uranium has become one of the important techniques in uranium mining and metallurgy of China after more than 40 years of experimental research and industrial application. However, the radioactive wastewater, radioactive waste gas and radioactive solid wastewater produced by long-term in-situ leaching uranium will have impact of different extent on the ecological environment around the mine, which pose adverse effect on public health and environmental safety. In order to understand the radiation environment of in-situ leaching uranium mine, taking an in-situ leaching uranium mine in Xinjiang as the investigation object, radiation environment investigation and research during production and operation period of mine were carried out on the basis of the site investigation and sample analysis. The results show that the radioactivity levels of monitoring media such as ambient air, terrestrial gamma, surface water, groundwater, soil, biological samples, and radon exhalation rate around the in-situ leaching uranium mine are basically within the radioactive background level range of Xinjiang region or the applied standard limits, besides the radiation environmental quality meet the corresponding requirements and the radiation environmental risk is controllable. In the future production and operation period of in-situ leaching mine, mining enterprises should strengthen the awareness of environmental protection, through establishing and improving environmental management and monitoring plans, formulating scientific and effective radiation protection measures, strengthening environmental monitoring and emergency management and other measures to ensure the impact of mining activities on the environment is minimized, public health and environmental safety is guaranteed and development of in-situ leaching uranium mining is further improved.

The ore subjected to radioactive sorting treatment is crushed ore, with random shapes, which directly affects the accuracy of ore grade detection. To enhance the accuracy of radioactive separation detection, standard samples of uranium ore were prepared to conduct an influence test on how the shape of uranium ore affects detection efficiency. The relationship between the ore shape factor and the variation coefficient of detection efficiency was examined, leading to the establishment of a detection efficiency correction algorithm based on ore shape. Additionally, a quantification method for ore shape suitable for uranium ore radioactivity detection was proposed. The validity of the proposed detection efficiency correction algorithm has been verified through practical ore sorting tests. After implementing this algorithm, the error in uranium ore grade detection was reduced to less than 5% in over 70% of the test groups. This significantly mitigates the impact of ore shape on detection efficiency and enhances the accuracy of uranium ore grade detection.

With the development of uranium mining, uranium mining technology has rapidly advanced, but various challenges have emerged. In the process of in-situ leaching of uranium, there is often a phenomenon of decreased pumping and injection volume, which seriously affects the efficiency of uranium leaching. In response to the problem of decreased pumping and injection volume, physical, chemical, and combined well cleaning techniques have been carried out. The washing technology can solve the blockage around the wells, but its washing effect lasts for a short time and has a small impact radius, which cannot fundamentally solve the problem of decreased flow rate. The liquid flow cavitation technology is widely used in petroleum extraction, which can effectively increase the production of pumping wells and reduce the pressure of injection wells. However, it has not been involved in the in-situ of uranium process. In this paper, by comparing the difference between uranium leaching technology and petroleum technology, the cavitation device is optimized, and the drilling wellhead device is improved in the ground test, and then the liquid flow cavitation test is carried out. During the test, the operation displacement reached 2 m³/min and the pressure was about 21 MPa, which verified the feasibility of liquid flow cavitation technology in in-situ of uranium, and provided a new idea for improving the permeability of uranium mine.

Alkaline materials were used to neutralize acidic waste residue. Open and closed experimental environments were set up with different dosing ratios and pH conditions.By monitoring the changes in pH, U, and $\mathrm{HCO}_{3}^{-}$ in the supernatant of the neutralization residue, and analyzing the mineral composition of the neutralization residue using XRD, the effect of CO₂ on U stability during the neutralization process of acidic waste residue was studied. The results show that CO₂ in the surrounding air during neutralization treatment affects the stability of pH and U in the neutralization residue. The fixation of CO₂ by the neutralization residue under alkaline conditions is an acidification process. As the pH of the neutralization residue decreases, the CO₂ fixed in the air transforms into $\mathrm{HCO}_{3}^{-}$, which gradually accumulates and causes the already stabilized U in the neutralization residue is leached out again. The pH adjustment experiment shows that there is no significant correlation between U and pH. The pH range for U leaching is 7.68~8.41, and $\mathrm{HCO}_{3}^{-}$ accumulates significantly in this range. There is a positive correlation between U and $\mathrm{HCO}_{3}^{-}$, with a correlation coefficient of 0.95. The production of $\mathrm{HCO}_{3}^{-}$ is a key factor affecting the stability of U in neutralization residue. When Ca(OH)₂ is added excessively, secondary mineral CaCO₃ will be generated in the neutralization residue. As CO₂ is fixed, the pH of the neutralization residue decreases, and CaCO₃ will partially dissolve and transform into $\mathrm{HCO}_{3}^{-}$. In the open experimental environment, only the 2.5% Ca(OH)₂ experimental group and the 2.5% Mg(OH)₂ experimental group maintain extremely low U leaching levels. After neutralization treatment, the pH of the neutralization residue is low, and very little CO₂ is fixed in the air. $\mathrm{HCO}_{3}^{-}$ which affects U stabilityis hardly produced.

The well washing process is an important way to increase the well water volume and increase the production capacity in the in-situ leaching uranium mine, but with the continuous improvement of safety and environmental protection requirements, the traditional well washing method alone can no longer meet the needs in recent years. A local leaching uranium mine has further improved the safety and environmental protection of the well washing process and the efficiency of the well washing process by carrying out the optimization and improvement of the safety and environmental protection of the well washing process such as the parallel well washing technology of the air compressor, the improvement of the acid adding method, and the recycling technology of the well washing wastewater, so as to maximize the effect of well washing, and ensure that the safety and environmental protection risks of the well washing process of the in-situ leaching uranium mine are controlled.

According to the national policy of developing green mining and building green mines as an important platforms and means for transforming the development mode of mining, enhancing the overall image of the mining industry, and promoting the safe and sustainable development of the mining industry, as well as the requirements of the State Security Bureau to carry out the "mechanization replaces people, automation reduces people" science and technology strengthen safety special action, the company has completed the "mechanization" transformation and has continued to carry out intelligent mine construction. Based on the pain points of safety in mining, such as high labor intensity, poor working environment, and high safety risks, the company has carried out intelligent mine construction projects, including unmanned driving of electric vehicles, remote control of loaders, remote control of crushers, and automation of ventilation and drainage. Through the transformation and upgrading of "digitalization" and "intelligentization", the company gradually achieves "minimization of personnel" or "unmanned operation" underground, improving the working environment and reducing labor intensity while further enhancing the intrinsic safety of hard rock uranium mining.

In the in-situ leaching of uranium, uranium migration is influenced by both groundwater flow and solute diffusion, and this process can be effectively modeled using the advection-diffusion equation. Accurately modeling the variation of uranium concentration over time and space is crucial for predicting uranium migration in groundwater during in-situ leaching of uranium. Traditional numerical methods, such as the finite difference method, are computationally intensive and prone to errors while dealing with high-dimensional, complex problems. Therefore, this research aims to explore the applicability and accuracy of physics-informed neural networks (PINN) in solving the advection-diffusion equation. Through numerical simulations of the one-dimensional advection-diffusion equation, and by comparing the PINN solutions with numerical and analytical solutions. The results show that PINN provide higher accuracy and better alignment with the analytical solution over long-term simulations compared to numerical methods. Furthermore, PINN exhibit certain extrapolation capabilities. Additionally, the introduction of dropout enhances the generalization ability and convergence speed of the PINN model, confirming the potential of PINN in solving complex physical problems.