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.

As the mining depth of a uranium mine continues to increase, the ore body shows a trend of decreasing thickness and increasing inclination angle. This paper focuses on the steeply inclined thin ore veins of the uranium mine, utilizing the AHP-TOPSIS method for comparative analysis of different mining methods, and proposes a high-segment continuous efficient collaborative mining method suitable for the thin ore veins in this mine. Based on this, the numerical analysis is conducted using FLAC3D to examine different structural parameter schemes of the stope, analyzing the stress field, displacement field, and distribution characteristics of the plastic zone during the mining process, ultimately acquiring the optimal stope structural parameters. The results indicate that: no tensile stress was observed in the top and intermediary pillars in scheme 1 to 4, while a small amount of tensile stress occurred in schemes 5 and 6; the proportion of the plastic zone varies from 22.52% to 27.98% across scheme 1 to 6, with scheme 3 demonstrating better stability. Considering both safety and economic factors, the optimal stope structural parameters are determined to be a top pillar height of 5 m and an intermediary pillar width of 8 m (scheme 3).

The Husab Uranium Mine has complex ore body and issues of ore body displacement during production blasting, which leads to severe ore-waste mixing. Additionally, there is a lack of measurement methods for the truck after loading. To detect the grades after loading and distinguish the ore from the waste, further to control and measure the ore dilution and ore loss, Husab Mine designed and developed the radiomatric truck scanner. By determining the exact time points of entry and exit through infrared beam detection, and identifing the truck identities using radio frequency identification technology, the dynamic scanning is achieved. By using three sets of gamma spectrometers, the error caused by irregular ore loading and deviations in truck driving paths, is minimized. By integrating the on-site data collection system, the server-based data management system, and the client data management system, the management of multiple truck scanner become available. By connecting the truck scanner to the dispatch system, the scanner data can be used to guide trucks on where to unload at the stockpile. To assess the impact of the truck scanner on uranium mine production, both the shovel boundary model data and truck scanner data were compared against the grade control model data, which serve as a benchmark, to calculate the dilution rate and ore loss rate under each scenario, the dilution rate and ore loss rate dropped from 8.14% and 12.62% to -3.36% and 4.85%. The summary and Analysis of two months' production data revealed that, the scanner can effectively distinguish the ore with different grades and seperate the ore and waste. It’s found out that the ore transported reduced 8.4%, the recovered metal increased 4.7%, and the average grade on the stockpile increased 19.8%. These findings demonstrate the significant and positive impact of the truck scanner on production at Husab Uranium Mine.

Dexing Copper Mine integrates the organization and management of the mining production process with modern mining technologies. Through the DIMINE 3D mining software, digital modeling and updates of the resources in certain mining areas have been completed. However, issues such as data silos in the existing CAD-based geological and surveying system, data integration challenges, and the absence of a database version in the early stages of the DIMINE software continue to constrain the mine's progress toward intelligent mining. To promote smart mining, enhance the efficiency and economic viability of mining processes, and address fundamental aspects of geology, surveying, and mining in intelligent mining construction, the functionalities of the original system were analyzed, researched and optimized. A customized development was carried out based on the DIMINE software system to achieve full coverage of the existing geological and surveying platform's functions and data at Dexing Copper Mine, ensuring the preservation of historical data and meeting the operational requirements of geological and surveying tasks.

In order to promote the informationization construction of mining enterprises and enhance the safety informationization management capabilities, we explore the application of Python programming language and PyCharm editor to establish a basic database and big data analysis model for safety inspections in a certain mining enterprise. We construct a multi-dimensional analysis and evaluation system for historical safety inspection issues, new safety inspection issues, and other data, including time, space, problem categories, and causes. We explore the laws and development trends of intrinsic safety and safety inspection problems, and take targeted solutions accurately. The establishment of databases and analysis model can also be used for comprehensive evaluation of security inspection issues, visually displaying important information such as the time, place, category, and cause of the problem, providing objective data support for timely detection of repetitive problems and hidden danger investigation, avoiding the long-term existence of security problems that cannot be eradicated, and effectively reducing security risks. At present, the security big data model is mainly applied in security inspection work, and there is still room for exploration in the fields of security management system construction, "dual control" system operation, security education and training, accident prediction and warning in the future.

In order to clarify the leaching effect of horizontal well technology on in-situ leaching of uranium, a numerical simulation method was used to study the influence of different parameters on "Horizontal Well Injection-Vertical Well Pumping" and conventional "Vertical Well Injection and Pumping". The results show that compared with "Vertical Well Injection and Pumping", the length of horizontal wells is proportional to the leaching range, the vertical leaching range of "Horizontal Well Injection-Vertical Well Pumping" is small, the plane sweep efficiency is high, the dead corner of leaching is small, and the effective utilization rate of leaching solution is high; it has a wide coverage in the horizontal direction and have significant advantages in the treatment of thin uranium ore deposits. The ratio of horizontal permeability to vertical permeability has a greater impact on the leaching of "Vertical Well Injection and Pumping". When the vertical permeability is low, the leaching effect of horizontal well sections is better than that of vertical well sections; the amount of pumping and injection fluid is positively correlated with the leaching range. As the amount of pumping and injection fluid increases, the dead corners of leaching of both "Horizontal Well Injection-Vertical Well Pumping" and "Vertical Well Injection and Pumping" decrease. The increase in the amount of pumping and injection fluid has a greater impact on the leaching effect of "Horizontal Well Injection-Vertical Well Pumping". When the flow rate reaches 210 m³/d, the leaching range of the ore layer of "Horizontal Well Injection-Vertical Well Pumping" is higher than that of generalized "Vertical Well Injection and Pumping".

Uranium is an important raw material for the development of nuclear power, and radioactive wastewater is generated during the mining and processing of uranium resources. The treatment of radioactive wastewater has attracted much attention. This article introduces the research progress of radioactive wastewater treatment technology in uranium mines from the aspects of physical, chemical, and biological methods,and explores the interaction mechanisms, development status, advantages, and limitations of various methods for removing radioactive nuclides in the process of treating radioactive wastewater, such as oxidation-reduction, adsorption, and chelation precipitation. Reasonable suggestions and prospects are proposed for the application of radioactive wastewater treatment technology in uranium mining and metallurgy.

In the process of uranium dioxide hydrofluorination in the uranium conversion workshop, the opening and feeding of uranium dioxide raw material drums need to be operated manually, in order to reduce the risk of radiation exposure of the operators, the design of the handwheel lid opening robot control system for uranium dioxide raw material drums. The system adopts STM32F407IG series as the main control chip, and uses USB communication module to communicate with the servo motor of the robot arm for the motion control of the robot arm; proposes and adopts the robot arm positioning method based on the combination of key point detection and robot inverse kinematics to realize the accurate positioning and smooth switching of the robot on the handwheel lid of the uranium dioxide raw material drum; at the same time, designs the monitoring and control interface of the upper computer. Experiments show that the robot can complete the identification and localization of the handwheel well, and the mechanical gripper can smoothly insert into the spokes of the handwheel and rotate as required.

The electric control valve in the ⁷⁶Ge isotope production process is controlled by the PID module of the DCS (Distributed Control System) to regulate the internal pressure of the cascade pipeline. However, when the pressure of the process system fluctuates greatly, the existing control method of electric valve can not achieve the optimal control effect, which leads to the controlled process pressure exceeding the operating safety limit and has a serious adverse impact on the safe and stable operation of the process system. Aiming at the problem of weak control performance of electric valve under abnormal pressure, this paper put forward a control scheme to optimize DCS control configuration program of electric valve. Actual operation shows that the optimized control program avoids significant fluctuations in process pressure under abnormal conditions, effectively ensuring the safe and stable operation of the ⁷⁶Ge isotope production line.

This paper focuses on the abnormal fluctuation of yield during the electron beam welding process of fuel rods. Considering that the main defects leading to the rejection of fuel rods are surface scratches and out-of-tolerance straightness, through analysis and research, it is clarified that the direct causes of the abnormal yield of fuel rods are the excessively large aperture of the welding tooling baffle, the excessive use of the welding top, and the design of the top bearing. By taking measures such as reducing the aperture of the baffle, determining the reasonable number of uses for the welding top, and designing the top bearing, defects can be controlled in a timely manner, the yield can be improved, the manufacturing cost can be further reduced, and a foundation can be laid for the subsequent exploration of fuel rod manufacturing processes.