15111 working face of Huangyanhui Coal Mine in Shanxi Province was selected as the support of the actual project, and the stress distribution state and roadway deformation characteristics of coal pillar and solid coal under different coal pillar widths were analyzed in depth, aiming to realize the optimal design of the parameters of coal pillar excavation along the gob of the track channel in this working face. The lateral stress distribution law of goaf was deeply discussed, and the stress distribution of small coal pillar after goaf excavation was studied. At the same time, the distribution characteristics of vertical stress and horizontal stress during mining are comprehensively analyzed, and the specific values of vertical displacement and horizontal displacement in mining stage are precisely measured. The research results show that with the continuous increase of the width of coal pillar, the stress carried by coal pillar and solid coal increases correspondingly. At the same time, the increase of the width of coal pillar causes the deformation of the two sides of the tunnel to expand first and then shrink, and the deformation decreases further when the tunnel reaches a stable state. However, the deformation of the top plate and the bottom plate showed a gradually decreasing trend. Through research and analysis, the optimal design size of coal pillar in goaf excavation is optimized and determined. The research result will provide a key and reliable reference standard for the coal pillar maintenance of Huangyanhui Coal Mine and other similar projects, and effectively promote the improvement of the safety, stability and economy of the project, which has important value for promoting the technological progress in related fields.

Taking the national advanced manufacturing clusters in the Yangtze River Delta region as a sample, the mechanism of knowledge collaboration networks on collaborative innovation performance was explored. Findings reveal that knowledge network characteristics (knowledge diversity, knowledge network density, knowledge recombination opportunities) have a positive impact on collaborative innovation performance, with knowledge absorption capacity playing a mediating role and cooperative network structural features exerting moderating effects. Specifically, network centralization and average shortest path inhibit the positive influence of knowledge network structure on collaborative innovation performance, while connectivity strengthens this positive effect. The research can provide theoretical references for enhancing collaborative innovation performance in advanced manufacturing clusters from the perspective of knowledge collaboration networks.

In order to solve the influence of bolt length on roadway support under different geological and mining conditions, using FLAC3D numerical simulation software, the numerical simulation research of tunnel support effect of 1.6, 1.8, 2.0, 2.2 and 2.4 m different bolt lengths was carried out. Through five bolt-length support schemes, the stress change and displacement deformation rule of roadway under each scheme were analyzed, and the optimal bolt-length was obtained. The results show that the change of bolt length affects the displacement and deformation of roadway after excavation. When the diameter of the bolt is constant and the length is 2.2 m, the deformation of the roadway surrounding rock is small, and the shear failure in the plastic zone is minimal. Through the comparison of several schemes, it is found that the roadway support effect is best when the length of bolt is 2.2 m.

The layout design of an assembly line has a significant impact on a company's production and logistics efficiency.Taking the layout design of the D4 engine assembly line as the research object, the assembly process was analyzed,an assembly line balancing model was constructed with the goal of minimizing the number of workstations. Based on the balancing results, the task division for each workstation was determined. On the basis of analyzing the capacity requirements of the workstations, the design of the workstation layout was formed. Utilizing the systematic layout planning(SLP) method, and considering the constraints of workstation positions as well as the need for flexibility in assembly line production, the layout of the assembly line was determined based on the analysis of inter-station logistics after balancing. The layout is arranged to fulfill the rhythm demands, satisfy the assembly process, and support the efficient functioning of the assembly line.

Accurate prediction of lithium-ion battery state of health (SOH) is crucial for battery management systems. Existing deep learning-based prediction methods primarily focus on single temporal scale features, making it challenging to simultaneously capture multi-scale dynamic characteristics during battery degradation processes. To address this issue, a SOH prediction model based on multi-scale attention mechanism (MSANet) is proposed. The model employs three parallel attention modules - short-term, medium-term, and long-term - to capture features at different temporal scales, achieving comprehensive battery state modeling through an adaptive feature fusion strategy. Additionally, bidirectional LSTM (long short-term memory) and low-rank adaptation (LoRA) techniques are incorporated to enhance the model's feature extraction capability and parameter efficiency. Experiments on the NASA (National Aeronautics and Space Administration) battery dataset demonstrate that this method achieves superior prediction accuracy and efficiency compared to LSTM-based prediction methods, providing a novel solution for battery health state assessment.

Exploring the coupled coordination between regional economic high-quality development and ecological environmental protection is the basis for integrating the promotion of high-quality development and high-level ecological protection. Based on the data of Heilongjiang Province from 2010 to 2022, the coupling coordination model and decoupling model were used to measure the coupling coordination degree and decoupling index between the two systems. The results show that the index of high-quality economic development in Heilongjiang province shows a fluctuating upward trend, and the index of ecological environmental protection steadily recovers after experiencing a significant decline. The degree of coupling and coordination between the two systems generally shows a rising trend, but there is still a gap with the state of high-quality coupling and coordination. Heilongjiang Province has experienced the decoupling state transition of “strong negative decoupling-expansive negative decoupling-weak decoupling” at various stages, and the decoupling state is great, while only a few years of each prefectural-level city have reached the ideal decoupling state. Based on the conclusions, countermeasures are proposed to promote the synergistic development of regional economic quality and ecological environment.

In order to address the issues of arbitrariness and blindness in emergency rescue force allocation for mountainous highway tunnels, the principles of emergency response resource allocation was studied, and an optimized resource allocation model specifically tailored for mountainous highway tunnel networks was proposed. By abstracting and modeling the road network, this model effectively positions emergency response points and introduces a phased collaboration strategy to optimize the deployment of emergency rescue forces, which not only focuses on efficiently utilizing limited rescue resources but also emphasizes the feasibility and effectiveness of practical operations. Through case study validation, this model demonstrates robust practicality and operability, it can provide a scientific basis and effective tool for emergency rescue efforts in mountainous highway tunnels.

To address the limitations of traditional gas consumption prediction methods in dealing with complex time series data, a combined model (CNN-BiLSTM-Attention) integrating convolutional neural networks, bidirectional long short-term memory networks, and attention mechanisms is proposed for urban gas consumption prediction. An empirical analysis was conducted on the actual gas consumption situation of a city in the western region. The results show that the root mean square error, mean absolute error, and coefficient of determination of this model are 19.14, 17.53 and 0.966 6 respectively, and its prediction effect is significantly better than that of other models. The research indicates that the CNN-BiLSTM-Attention network model provides an effective solution for urban gas consumption prediction and offers a scientific basis for urban energy management and decision-making.

Based on data from 13 cities in the Beijing-Tianjin-Hebei Region from 2015 to 2022, an integrated evaluation system was constructed to assess urban development comprehensively across subsystems such as environmental quality, economic scale, social progress, and scientific and technological innovation. The coupling coordination degree model was then employed to measure the coordination of urban development, while the LMDI(logarithmic mean Didier index)model is used to quantitatively assess the contributions of these subsystems to overall coordination. The research results indicate that from 2015 to 2022, the overall development level of the Beijing-Tianjin-Hebei Urban Agglomeration has shown a steady upward trend, reflecting continued progress in economic, social, and technological aspects across cities in the region. However, significant spatial gradients persist in the development levels among these cities. Core cities like Beijing and Tianjin maintain a leading position in overall development, while cities farther from the core area lag behind, leading to a relatively differentiated development landscape within the region. In addition, the degree of coordination of urban development has improved, but the differences in the coordination of development among various cities are still significant. Among them, scientific and technological innovation is the main driving force for the coordinated development and changes of the Beijing-Tianjin-Hebei Urban Agglomeration, while environmental quality is still a key bottleneck restricting coordinated development and has the lowest contribution to coordinated development and changes. Finally, recommendations for optimizing the coordinated development of cities are proposed, including enhancing the radiative influence of core cities, promoting cross-regional interconnectivity, prioritizing innovation resource allocation, and strengthening cooperation in environmental protection and governance.

The strong heterogeneity of the Lower Permian gas reservoir in the Hechuan Gas Field and the significant differences in gas well productivity, along with the unclear characteristics of high-efficiency wells, have constrained the profitable development of the gas reservoir. To identify the controlling factors of high-yield wells, research was conducted from both geological and engineering perspectives, focusing on the relationships between paleogeomorphology, dolomitization degree, reservoir thickness, fracture and vug development, acid treatment volume, and gas test productivity. The results indicate that wells located in high paleogeomorphological positions, with high dolomite content and large reservoir thickness, exhibit well-developed fractures and vugs, achieving productivity of up to a million cubic meters. Large-scale acid treatments can modify the surrounding reservoir of the wells, enhancing their productivity.