The continuous mining and continuous filling process allows for parallel mining and filling operations, with flexible working face design, and has significant advantages in recovering irregular block coal resources. In order to recover irregular coal resources and dispose of gangue solid waste, Shaliang Coal Mine adopted the continuous mining and continuous gangue solid filling-grouting process. After comparing the two processes of full mining and full filling, and, partial mining and partial filling, the partial mining and partial filling process was selected. The length of the working face was controlled within 100 meters, and the width of the branch roadway was designed to be 6 meters, with a mining-filling width of 4.5 meters and a 1.5-meter coal pillar reserved. Grouting pipelines were hung on the roof of the branch roadway, and grouting was carried out after the solid gangue filling was completed to improve the overall strength and stability of the gangue backfill. The filling system and the process flow of solid gangue filling-grouting were designed, and the coal mining and filling equipment were optimized. Tests on the fluidity and strength of grouting materials were carried out, and the composition ratio and reasonable concentration of grouting materials were determined. Considering the compression characteristics of the gangue cementitious body after grouting, continuously graded gangue was selected for filling. This process achieved safe and efficient recovery of irregular coal blocks and comprehensive utilization of gangue.

In response to the unclear situation of residual resources in the goaf of the Daqiao mine and the difficulty of safe and efficient recovery, this paper studied the adaptability of longwall fully mechanized mining of residual resources in the goaf of the Daqiao mine. The strength size effect of a single cutting column was analyzed, and a mechanical model of the coal column group roof system in the goaf was constructed. The stability of the entire coal column group roof system in the goaf of the Daqiao mine was studied; Based on the detection and analysis of coal seam characteristics, it is believed that the top of the double mining face in the goaf of the cutter column is a loose structure, and the basic top is a block structure. The interaction relationship between the support and the surrounding rock belongs to the given load state. A calculation model for the support strength under the action of the block loose roof is constructed; On site mining verification shows that the working resistance of the support meets the needs of mining, which is consistent with theoretical calculations. The mining pressure is controllable, and the gas emission is within a safe range. The resource recovery rate of the working face has reached 93.4%, verifying its rationality and scientificity.

In order to reduce the secondary stripping quantity of the second and third mining areas during the turning period of the Xiba open-pit coal mine mining area the impact of two leftover ditch modes, namely, inverted trapezoidal and inverted triangular, on the stripping material transportation system is compared and analyzed under the condition of raising the height of internal dumping site, and a total cost model of leftover ditch internal dumping is constructed. The economic optimization model of ditch height is established based on the minimum cost method. The results show when the amount of stripped materials in the ditch area is certain, the inverted trapezoidal ditch mode has a relatively small impact on the stripped material transportation system compared with the inverted ditch mode; The cost saving of the inverted trapezoidal ditch mode relative to the full pressure strip internal dumping mode is increasing first and then decreasing, and the optimal ditch height of adjacent mining area is 45m, which saves 82.3 million yuan compared with the full pressure strip internal dumping, and it has a good economic and technological.

The arrival of the digital economy era has challenged the sustainable development of coal enterprises, and only by realizing intelligent transformation can coal enterprises catch up with the tide of the times and realize the sustainable development of enterprises. In order to explore the efficient construction path of intelligent transformation of coal enterprises under the background of digital economy, this paper adopts the case study method and clear set of qualitative comparative analysis method, constructs a four-dimensional analysis framework of technical level, organizational level, environmental level, and financial level, and selects five explanatory elements under the above four levels, namely, technical talents, technological development, degree of development of the city, financial investment, and leadership support, to explore the multiple concurrent causal factors of the intelligent and efficient transformation of coal enterprises. The study finds that (1) in the intelligent and efficient transformation of coal enterprises, there are five explanatory factors. It is found that: (1) in the levels of “technical talents”, “technology development”, “urban development”, “investment in scientific research” and “leadership support”, there are five explanatory factors, namely, “technical talents”, “technology development”, “urban development”, “investment in scientific research” and “leadership support”. and “leadership support”, a single development factor can hardly constitute the necessary conditions to influence the effectiveness of intelligent transformation of coal enterprises; (2) further group analysis generates three equivalent paths, which are specifically summarized as the “technology-fund-environment” driving mode. capital-environment” driving mode, ‘technology-management-environment’ driving mode, and ‘technology-fund-management’ driving mode, which are in line with all coal enterprises realizing intelligent transformation.The results of this paper can provide applicable construction ideas for the intelligent transformation of coal enterprises with different characteristics, and also reveal that the government should increase the attention and support for the transformation of coal enterprises, and the enterprises should improve the initiative of the transformation of the enterprises, accelerate the training of talents, cultivate multi-level and compound talents, and accelerate the development and application of new technologies in the enterprises.

Addressing the stability issue of surrounding rock during shaft excavation in deep coal seams, this paper systematically investigates the mechanical response of strata using FLAC3D numerical simulation, based on a coalfield engineering project in Ordos. The results indicate that horizontal displacement significantly concentrates around the derrick base with a maximum value of approximately 2.4 mm, displaying distinct localized characteristics. Vertical displacement, prominently influenced by vertical construction loads, reaches up to 36 mm, extending its impact area and depth remarkably. In terms of stress distribution, a pronounced stress concentration occurs near the derrick base, with maximum horizontal stress around 0.14 MPa and peak vertical stress up to 0.5 MPa, indicating the dominant role of vertical loading in deep strata responses. Under current simulated conditions, no apparent plastic deformation is observed, reflecting the high overall stability of surrounding rock structures. These findings provide essential theoretical foundations and engineering guidance for safe shaft construction in deep coal mines under analogous geological conditions.

To address the issues of poor wetting performance of dust particles and low dust suppression efficiency of existing water spray dust suppression methods at full-face excavation surfaces, an enhanced dust suppression method combining surfactants with a multi-layer spiral fog curtain was proposed, and the synergistic dust suppression mechanism was analyzed. Using coking coal dust as the research subject, experiments on the wetting properties, including surface tension, contact angle, coal dust settlement, and spray droplet size distribution, were conducted with six types of surfactants at seven different concentrations. The optimal surfactant was selected based on these experiments. A self-developed intelligent dust suppression platform for coal mine tunnels was used to study and analyze the influence of different injection media and dust suppression methods on the dust suppression performance for coking coal dust at the full-face excavation surface. The results showed that the synergistic dust suppression effect of the surfactant and multi-layer spiral fog curtain was significant. This was primarily demonstrated through the efficient dust removal achieved by the multi-layer spiral fog curtain, the excellent wetting ability of the surfactant for dust particles, and the positive synergistic effect between the two. Based on the comprehensive wetting property experiments, a 0.05% CDEA solution was found to provide the best overall wetting effect. The multi-layer spiral fog curtain combined with 0.05% CDEA solution significantly improved the dust suppression effect at the full-face excavation surface. Compared to the multi-layer spiral fog curtain combined with clear water and the traditional ring nozzle spray combined with 0.05% CDEA solution, The effectiveness of dust suppression for total dust and respirable dust on the return air side showed an improvement of around 20% and 12%, respectively. The suppression efficiency for total dust peaked at 96.45%, while that for respirable dust achieved a maximum of 90.88%.The results of this study provide valuable insights and guidance for dust suppression work at similar excavation sites in coal mine tunnels.

This study investigates the spatiotemporal evolution patterns and mechanisms of rock mass stability in deep three-dimensional intersecting tunnels, laying the foundation for precise control of rock mass stability in such structures. Based on finite element analysis, the stress field, plastic zones, and deformation evolution patterns of the rock mass at horizontal intersections and gradient change points were analyzed under different intersecting angles. Results indicate that as the inclination angle increases: Maximum shear stress in the roof at the horizontal junction increases by 5.44%, while that in the floor decreases by 5.75%; Maximum shear stress in the roof at the gradient change point increases by 17.52%, while that in the floor decreases by 10.90%. Stress concentration in the roof significantly intensifies and migrates toward structurally weak zones, while stress in the floor gradually transfers deeper into the surrounding rock. The thickness of the rock mass shear stress“shell”increased with the main stress difference, while the extent of the plastic zone and displacement showed a positive correlation with shear stress variations. Changes in inclination at the intersection caused differing stress field distributions, plastic zone sizes, and deformation increments between the roof and floor, thereby increasing localized rock mass instability risks in the roadway. Consequently, precise coordinated control of both roof and floor rock mass regions is essential during roadway support at intersections.

Aiming at the problem of large deformation such as floor heave and rib spalling caused by conventional bolt and cable support in soft rock roadway, this paper constructs a mechanical model of stress distribution in surrounding rock of roadway, and reveals the pressure relief mechanism of large-diameter pressure relief boreholes in the side by expanding the plastic zone of surrounding rock and transferring the peak stress. The numerical simulation method is used to analyze the influence of key parameters such as drilling depth, aperture and row spacing on the stress transfer and distribution characteristics of surrounding rock. The reasonable parameters of large diameter pressure relief drilling are determined, and the overall control effect is improved by combining active reinforcement support measures. The results show that the large-diameter borehole can effectively expand the plastic zone of surrounding rock and promote the stress peak to transfer to the deep part, and the stress concentration area is mainly distributed on both sides of the borehole. As the pore size increases, the pressure relief effect gradually increases, but the pore size is too large to cause excessive pressure relief; if the drilling row spacing is too small, it is easy to cause local stress concentration, and if the row spacing is too large, the pressure relief effect will be weakened. With the increase of drilling depth, the decrease of stress peak and the transfer distance increase. Through comprehensive analysis, it is determined that the reasonable parameters on site are 160 mm of aperture, 10 m of hole depth and 1.5 m of row spacing. The engineering application results show that after the control technology of ' pressure relief drilling + support reinforcement ' is adopted, the deformation of the two sides of the roadway is reduced by 60.8 %, the deformation of the roof and floor is reduced by 50.3 %, and the stability of the surrounding rock is significantly improved. The research results can provide theoretical basis and technical reference for pressure relief design and surrounding rock control of soft rock roadway.

At the end of mining, the stress in the concentrated roadway group is highly concentrated, which has a high impact risk. In view of the difficult problem of rock burst prevention and control at the end of mining in the working face, taking the 4105 working face of wenjiapo coal mine as an example, the impact risk of the final mining area is analyzed through the micro earthquake, ground sound and stress monitoring system, and the impact disaster causing factors are further analyzed. The technical scheme of separate source prevention and control of the dynamic and static load source inducing the impact start is put forward, the blasting pre splitting is adopted for the roof, and the large-diameter drilling is adopted for pressure relief in the coal seam, The engineering practice and effect test are carried out. The field application shows that the microseismic activity is in the state of "high frequency and low energy", the daily released energy decreases by 82.5%, the proportion of geoacoustic C and D early warning shifts decreases by 32%, the stress concentration degree of coal body is relieved, the application effect is good, and the impact risk in the final mining area is effectively reduced.

Abstract: This paper takes the characteristics of roof pressure behavior during mining at the fully mechanized mining face of Shaanxi Coal Group Shenmu Hongliulin Mining Co., Ltd. as the research background. By analyzing the movement and failure laws of overlying rocks in the fully mechanized mining face with large mining height, combined with the interaction relationship between supports and roof, mathematical statistics and deep learning algorithms are used to analyze the collected time-series mine pressure data, and the forecast and early warning of roof pressure in the fully mechanized mining face are realized. Firstly, by analyzing the support pressure data of the fully mechanized working face, the support pressure working stage is divided into the resistance reduction stage, the slow resistance increase stage, and the rapid resistance increase stage; secondly, the pressure determination index of the working face "pressure arch" is proposed; then based on the LSTM network, a mine pressure prediction model is designed to predict the future pressure change of the working face; The periodic pressure prediction results are also divided into sections. The concentrated trend and frequency of prediction errors are analyzed through on-site application cases, and the prediction results of different algorithms are compared. The results show that the pressure prediction model based on deep learning has a high accuracy, but the prediction time is shorter. Compared with the historical pressure prediction model, it is less affected by factors such as geological conditions. The research results can provide certain reference for the intelligent production and management of fully mechanized working faces.

In order to control the large deformation of deep roadway, this paper uses Fluent and UDEC to simulate and analyze the effect of abrasive jet and the effect of slotting-fracturing integrated roof cutting and pressure relief, and carries out field experiments. The results show that under the conditions of incident pressure of 20 MPa, 30 MPa, 40 MPa and particle diameter of 0.425 mm, 0.6 mm, 0.85 mm, with the increase of incident pressure and abrasive particle diameter, the effect of abrasive jet slotting is improved, and the influence of incident pressure is more significant. The simulation results of slotting-fracturing integration show that the abutment stress in the isolated coal pillar and the damage zone around the roadway are reduced. The field test results show that the displacement of 8003 roadway is reduced by more than 50 %, so the slotting-fracturing integration has a good effect．

A comprehensive technology system for fire source localization and control has been developed, integrating distributed temperature sensing (DTS), fire-retardant sealed wall construction, and airtightness verification. This system addresses the technical challenges associated with low precision in fire source localization and extended remediation cycles for abandoned coal self-ignition disasters. By employing DTS technology, the system enables precise three-dimensional temperature field monitoring and utilizes a three-dimensional surface heat source radiation model to inversely determine fire source locations and their spatial distribution. Innovatively, ground-based multi-branch directional drilling injection technology is applied to rapidly isolate fire zones through the construction of fire-retardant sealed walls within affected roadways. A dynamic monitoring system is established to synchronize CH4, CO2, and O2 concentration data between ground and underground environments, thereby verifying the airtightness of sealed walls. This technology was successfully implemented at the 6114 working face of Shanxi Weidong Mine, achieving high accuracy in fire source localization and rapid remediation efficiency, with fire suppression accomplished within 23 days and mine operations resuming after 37 days.

Aiming at the problem that the control delay affects the compensation effect of STATCOM in dynamic reactive power compensation and harmonic control, such as current detection, sampling and digital controller discretization, the low-voltage three-phase bridge STATCOM in coal mine is taken as the research object. Based on the analysis of its basic working principle and the establishment of control system architecture, the causes of STATCOM control delay are discussed, and the influence of control delay is quantitatively analyzed. The STATCOM control delay compensation method based on selective control is studied and proposed. The algorithm compensation and periodic compensation are organically combined by the judgment method of hypothesis test. The fixed-time algorithm compensation has faster tracking speed in transient state, and the periodic compensation has higher control accuracy in steady state. Finally, the effectiveness of the proposed method is verified by Matlab / Simulink simulation and experimental platform.

To address the intense ground pressure induced by protective layer mining in complex medium-long distance coal seams, this study investigates Panel 7244 of Qinan Coal Mine through theoretical analysis, numerical simulation, and engineering practices. Key findings include: (1) Increasing the working face offset significantly reduces the strike- and dip-direction maximum shear stresses, with 80 m identified as the optimal offset to improve stress transfer pathways. (2) A coordinated control strategy combining a 28 m roof-cutting height and 0° pressure relief angle effectively confines the maximum shear stress within the roof's shear strength. (3) Implementation of a coupled deep-shallow hole blasting pressure relief scheme reduces the peak hydraulic support resistance by over 20% and enhances roof stability. The integrated "offset optimization–pressure relief control" framework provides an effective solution for safe coal seam group mining.

Fully mechanized top coal caving (FMTC) is a primary modern coal mining technique, and its efficiency and safety are crucial for coal production efficiency. To clarify the top coal crushing mechanism and boost recovery rates, this paper establishes a mechanical model of top coal under static load in extra - thick coal seams. The model combines fracture mechanics, the pseudo-force method, and the maximum circumferential stress theory. By introducing the coal discharge port wide d, based on numerical simulation, d was corrected, and a more precise migration equation for the top coal caving body in the inclination direction was derived, the migration equation of the top coal caving body in the dip direction was derived. the migration equation of the top coal discharge body in the dip direction is derived. The discrete element method models irregular particle clusters, and Python-based released-body inversion analyzes the fully developed released - body morphology and coal-gangue boundary. Results indicate that at crack angles of 0° and 54.25°, crack propagation stress becomes infinite, decoupling coal fragmentation from crack propagation. As the shield beam angle increases, the upward release body width and semi-arc length decrease, as does coal release efficiency. The right coal-gangue boundary shifts closer to the goaf with a larger shield beam angle. For coal release quantity and efficiency, a shield beam angle of 30° with one-step coal release per mining step is optimal. With more coal discharge ports, the release body’s long-to-short axis ratio and eccentricity decrease, and its shape transitions from a vertical ellipse to a near-circle. The maximum curvature on both sides of the coal - gangue boundary occurs near the boundary. Under dual-port coal release, the top coal recovery rate peaks at 88.23% but with the lowest release efficiency. Adding discharge ports reduces recovery by 2.58% and 2.03% under triple-and quad-port conditions. Meanwhile, coal discharge efficiency rises remarkably with more discharge ports, increasing by 41.96% and 18.01% for each additional port. Overall, this study on irregular particle clusters reveals top coal migration laws, offering theoretical and technical support for safe mining and top coal recovery enhancement.

To address the engineering challenges of unclear surrounding rock failure and water-rich characteristics in multi-seam mining, this study, based on the multi-seam mining background of Yangjiacun Coal Mine at Shuangxin Mining, comprehensively employed numerical simulation, theoretical analysis, and field testing. A FLAC3D numerical model for multi-seam mining was established to investigate the nonlinear evolution law of water-conducting fractures in surrounding rock during multi-seam mining. The "mechanical-electrical" response relationship of water-bearing rocks was clarified, and a coupled "mechanical-electrical" monitoring and early warning model was constructed and applied in field measurements. The results indicate that the overburden load-bearing structure evolution during multi-seam mining exhibits high-level transfer characteristics, and under the superimposed damage effects of repeated mining, water-conducting fractures demonstrate nonlinear expansion characteristics. The integrated monitoring and early warning method, combining fiber Bragg grating and direct current resistivity, can simultaneously determine the extent of surrounding rock failure and identify water-rich features in the roof and floor, effectively warning of water hazards during mining. The failure zone height of the roof in the 351-upper 07 goaf was 18 m, connecting with the floor failure zone of the 4-1 coal seam goaf. Two water-rich anomaly areas-old goaf water and roof sandstone water-were identified in the 24109 goaf. Given the overall small water inflow (0.2~1.5 m3/h) during the mining of the 351-upper 07 working face, it was inferred that the overlying sandy mudstone roof still retains its water-resisting properties. The research findings provide theoretical and technical support for ensuring production safety in multi-seam mining faces at Shuangxin Mining and similar geological mining areas.

In order to study the damage characteristics of soft coal under the impact of water jet and the influence of jet parameters on coal breaking performance, the dynamic evolution characteristics of soft coal damage under different jet parameters were analyzed by numerical simulation and experimental research, and the influence of different jet parameters on coal breaking performance was discussed. The results show that under the continuous impact of water jet, the conical, transverse and radial cracks of soft coal gradually develop and extend to the bottom of coal. The number of conical and transverse cracks is better than that of radial cracks. The damage degree increases first and then tends to be stable. After the impact time is 5 s, a stable zone appears. The working pressure of the jet has the most significant influence on the jet shape. The greater the working pressure of the jet, the smaller the reflection angle and the better the coal breaking performance. The working pressure of 10 MPa is the crack initiation pressure of the soft coal body. The angle of the reflected flow gradually tends to be stable when the working pressure is more than 10 MPa. The effective impact damage speed should not be less than 300 m/s, the optimal impact target distance is 5 mm, the optimal nozzle diameter is 1.5 mm, and the optimal incident angle is 75° The research results can provide theoretical support for gas extraction of low permeability soft coal by water jet fracturing.

Coalbed methane content is one of the key parameters for evaluating the gas hazard levels in mines. Accurately understanding the coalbed methane content and its influencing factors is of critical importance for effective gas management and disaster prevention in mining operations. This study employs four machine learning algorithms—Elastic Net, Support Vector Regression (SVR), Gradient Boosting Decision Tree (GBDT), and Extreme Gradient Boosting (XGBoost)—to establish a predictive model for coalbed methane content. Additionally, the SHAP model is used to explain the feasibility of the machine learning algorithms, reveal the impact of input variables on output variables, and identify the main influencing factors of coalbed methane content. The results show that the GBDT model achieves the highest fitting accuracy (R2 =0.9956) on the prediction set, demonstrating the best performance. Feature importance analysis of the model and global feature importance analysis using SHAP reveal that the ratio of sandstone to mudstone and mudstone thickness are the most significant factors affecting the prediction of coalbed methane content, followed by volatile matter. In contrast, coal seam thickness, bedrock thickness, and ash yield have the least impact on the prediction. GBDT combined with SHAP algorithm effectively obtained the interaction between various factors in the prediction process of coal seam gas content. There is a clear dependence between different features, with the strongest interaction between sandstone and mudstone being the thickness of mudstone. The strongest interaction with the thickness of mudstone is the volatile matter.

Coal mining will lead to acidification or salinization of groundwater, affecting the safety of coal mine production. In order to explore the chemical evolution of groundwater under the influence of exploitation, taking Qinglong Coal Mine in Guizhou Province as an example, combined with hydrochemical analysis and numerical simulation technology, a numerical model of groundwater was established to explore the evolution law of regional groundwater dynamic field and hydrochemical field under mining conditions. The results show that under the influence of water pumping during the mining process, the groundwater flow field changes, forming a falling funnel and forming a new watershed in the southwest. The main anions and anions were concentrated at the pumping well, and the concentration change in the first 5 years was more obvious than that in the last 5 years, and the hydrochemical type of Changxing Formation changed from HCO3-Ca type to HCO3-Na、Ca type due to the influence of leaching and cation adsorption, and the concentration of HCO3- increased, which may have a corrosive effect on underground equipment

The mine AC motor works in the harsh environment of high dust, high humidity and strong vibration for a long time. The faults occur frequently (such as start-up failure, three-phase current imbalance, etc.) and the traditional inspection diagnosis lags behind, so it is difficult to find hidden dangers in time. In view of the above problems, this study developed an intelligent fault diagnosis system for mine AC motors. Based on multi-sensor data fusion monitoring, combined with edge computing + cloud collaborative architecture, the system realizes online continuous monitoring of key parameters such as motor vibration, temperature and current, and uses deep learning models such as convolutional neural network (CNN), graph neural network (GNN) and Transformer to extract and classify fault features. The edge end of the system architecture is responsible for real-time preprocessing and lightweight diagnosis. The cloud platform performs big data analysis and digital twin modeling to provide global fault assessment and life prediction. At the same time, a comprehensive test platform for high and low voltage motors was developed to test and verify the system. The diagnosis system can give early warning in the early stage of failure, improve the efficiency, accuracy and reliability of fault detection, reduce downtime loss and maintenance cost, and provide effective support for intelligent sensor monitoring and predictive maintenance of coal mine equipment．

Abstract：In order to study the deep geothermal geological conditions of Shicaocun Mine and its genesis mechanism, the present-day geothermal temperature field, geothermal temperature gradient field and geothermal heat flow distribution characteristics of the study area were comprehensively elaborated on the basis of temperature measurement data from seven exploration lines and 36 boreholes in the well field, and the conditions for the formation of geothermal resources were also analysed. The study shows that the Shicaocun coal mine is located in the geothermal area (II2) of Lingwu Depression, with the present-day geothermal temperature gradient ranging from 2.53 to 3.84℃/100m, and the geodetic heat flow values ranging from 47.6mW/m2 to 72.1mW/m2, the geothermal temperature field is characterised as low in the centre in the horizontal direction, high in the north-east and south-west flanks, low in the north and high in the south in the vertical direction, and the geothermal temperature gradient field and the heat flow field are characterised as low in the north-east and high in the north-west, and the rest of the locations are relatively uniformly distributed. The study area is a high-temperature anomaly area, and there are first- and second-degree thermal hazard areas. The geothermal fluid recharge mainly originates from atmospheric precipitation and transcurrent recharge, with slow runoff and high mineralisation. The Jurassic Yan'an Formation sandstone thermal storage type is layered and banded thermal storage, and the thermal storage layer is Jurassic Yan'an Formation sandstone, capped by mudstone and shale. Calculated by volumetric method, the geothermal resource is 1.29×101?J, and the recoverable heat is 1.29×101?J, which is equivalent to about 4.4×106t of standard coal, and the total thermal power is 13.6MW, and the heating area can be up to 340,000m2. The research results can provide theoretical basis for 31 mining area mining engineering.

To reveal the seepage laws and agent regulation mechanisms of fine-grained coal during high-pressure filter-press dewatering, this study takes fine-grained coal from the Pingdingshan Mining Area as the research object, and systematically conducts filter-press dewatering experiments under different pressure stages (0-5MPa) and agent conditioning (CPAM and SDBS). The results show that the fine-grained coal from Pingdingshan has fine particle size, large specific surface area, and pore size concentrated in the micron range (<5μm), leading to high specific resistance and strong adsorption characteristics of the filter cake, which are the main reasons for difficult dewatering. The effect of pressure on reducing filter cake thickness is highly consistent across different systems, all following the phasic law of "initial rapid compression, medium-pressure nonlinear transition, and high-pressure linear compaction". The addition of agents significantly enhances the compression effect of the filter cake, with the order of influence intensity being: CPAM > SDBS > no agent. Experimental data indicate that under the condition of 2.5MPa, the dewatering effect is optimal when the CPAM concentration is 40g/t, with the filter cake moisture content decreasing to 21.3%; SDBS improves the dewatering effect by reducing interfacial tension, achieving the lowest moisture content (23.9%) at a concentration of 1000g/t. In the initial stage (0–0.6MPa), CPAM and SDBS increase the compression rate by 25% and 30% respectively compared with the no-agent group; after entering the high-pressure stage (2.5–5MPa), the CPAM group exhibits the best effect, with the filter cake thickness decreasing from 19.85mm to 8.95mm and the final moisture content as low as 22.16%, while the deformation of the SDBS group and the no-agent group is relatively limited in the high-pressure stage.

In order to realize the monitoring and evaluation of the ecological environment of Haizhou open-pit mine, the thesis adopts the principal component analysis method to construct a new type of remote sensing eco-index, and on the basis of the four influencing factors of remote sensing eco-index, namely, the greenness, humidity, heat, and dryness, the air quality index of particulate difference index is added in conjunction with the spontaneous combustion condition of the residual coal of Haizhou open-pit mine, which is capable of better reflecting the ecological environment quality change condition of the Haizhou open-pit mine in the recent ten years. Three periods of satellite image data in 2016, 2020 and 2024 were selected to analyze the temporal and spatial changes of single ecological evaluation indicators and overall ecological environmental quality, and employed the Geographical Detector to investigate the driving mechanisms behind the NRSEI variations. The results showed that the overall ecological quality of the Haizhou open-pit mine area during the period from 2016 to 2024 was deviated. However, the proportion of the area with “excellent”, “better” and “medium” ecological environment increased by 6.77%, 14.97% and 9.79% respectively from 2016 to 2024, and the proportion of ‘poor’ and “medium” ecological environment increased by 6.77%, 14.97% and 9.79% respectively. The proportion of “poor” and “worse” areas decreased by 30.22% and 1.32% respectively, and the overall trend of ecological quality change in the project area is favorable. The areas with improved ecological environment benefit from the further construction of the national mine park and the continuous promotion of the ecological environment restoration and management of open-pit mines; the areas with deteriorated ecological environment are mainly in the center of the open-pit mines, which provides the basis for the next planning of the ecological environment management of open-pit mines.

To address the demand for power performance and anti-slip control of four-wheel independently driven auxiliary transport vehicles operating in complex mine environments, this study proposes a drive anti-slip control method based on Model Predictive Control (MPC). A full vehicle dynamics model is established. Subsequently, the controller's objective function and constraints are designed according to actual operational requirements, leading to the construction of an incremental MPC controller. Experimental results demonstrate that the proposed MPC-based drive anti-slip controller effectively tracks the target slip ratio for all four wheels in real-time on test mine roads, significantly enhancing the longitudinal dynamic performance of the mine auxiliary transport vehicle. This research provides theoretical support for the intelligent development of mine transportation equipment, offering significant engineering application value for improving underground transport efficiency and safety.

In order to optimize the design of the sliding valve core in the drilling and cutting integrated hydraulic slotting system, ensure the reliability of the hydraulic slotting system, and ensure the antireflection effect of the coal seam, based on the PJL-506 model of the hydraulic slotting device of Shandong Yikuang Drilling and Mining Technology Co., Ltd., the three-dimensional basin models of the end face force and the high-pressure jet working condition were established respectively. The theoretical analysis combined with the Fluent simulation method was used to comprehensively analyze the influence of the structural change of the sliding valve core on the end face force effect and the dynamic characteristics of the water jet impact. The sliding valve core was optimized and the stability of the sliding valve in practical application was verified by laboratory tests. The research results show that the shape of the sliding valve core facing the water surface is the optimal structure with the comprehensive shape of the arc surface and the gathering energy hole, which is 11.81 % and 118.52 % higher than the axial force and the maximum reverse flow velocity of the plane end face sliding valve, respectively, and the effective expansion area is increased by 10.89 % compared with the plane end face target distance of 100 mm, which is more conducive to the movement of the sliding valve and the higher coal breaking efficiency.