With the rapid development of the automotive industry, digital production has become the key to improve the efficiency and quality of automotive assembly production lines. A digital production system scheme for automobile assembly production line was studied and designed. Through in-depth analysis of the existing production system, the production process data was provided for MES system based on IoT system, so as to realize the overall architecture of the digital production system. It was focused on improving the transparency, predictability and flexibility of the production process, with the aim of improving production efficiency, reducing costs and optimizing resource allocation. Through practical application verification, it is significantly improved the digitalization level of the automotive assembly production line. Compared with traditional production lines, labor costs, improves production efficiency is saved, and strong support is provided for the sustainable development of the automotive industry.

In this study, a comprehensive bibliometric method and knowledge graph technology were used to systematically analyze artificial inteligence and labor employment. The results show that since 2016, the number of articles published in this field has entered a rapid development stage. The core research institutions are concentrated in the education industry. There is a significant overlap in the co-occurrence of keywords of the research themes, which are all focused on the keywords of “artificial intelligence” “robotics” “employment”. The evolution of research hotspots goes through three phases, such as technology focus period (2018-2021), impact exploration period (2021-2022) and application differentiation period (2022-2024). The research provides experience for future research on labor force employment in the context of artificial intelligence, and provides strong support for strategy formulation and practical exploration in related fields.

From the perspective of a closed-loop supply chain, the information bias related to carbon emissions from lithium-ion battery manufacturers and operational cost discrepancies among new energy vehicle manufacturers and third-party recyclers was examined by constructing a Stackelberg game model encompassing three distinct recycling modes. Through numerical examples, the behavior of information biases, individual profits and total profits across these recycling modes was analyzed. The findings indicate that both carbon emission biases and operational cost discrepancies are directly correlated with the individual profits and overall profitability of all stakeholders within the supply chain. Notably, the R/T-M mode yields the highest total profit and should be prioritized in practical applications. Furthermore, as carbon trading prices increase, there is an observable trend where profits for all parties initially decline before subsequently rising.

Facing global environmental and resource challenges, achieving harmonious coexistence between resources, environment and economic development is the key to high-quality regional economic development. Using China National Knowledge Infrastructure (CNKI) as the data source, relevant core journal articles published from 2004 to 2023 were selected to create a knowledge graph through CiteSpace, revealing the growth trend and hot areas of decoupling theory in regional economic development research. The importance of decoupling theory in promoting the development of low-carbon and green industries is emphasized, and low-carbon economy, green development and circular economy have become research hotspots. Future research should deepen empirical analysis of decoupling theory, expand its applications, and promote multidimensional cooperation to achieve the “dual carbon” goal.

Based on the panel data of 11 provinces in the western region from 2012—2021, the concept of high-quality development was added on the basis of the existing research, and the index system was constructed in combination with the connotation of agricultural and rural modernization, and the entropy method, Dagum Gini coefficient, kernel density estimation and grey correlation analysis were used to empirically analyze them. The results show that the overall high-quality development level of agricultural and rural modernization in western China shows a positive trend, and there are significant regional differences. The level of economic development, the level of financial support for agriculture and the level of science and technology are the main factors driving the high-quality development of agricultural and rural modernization in the western region. Based on this, feasible recommendations are proposed.

The exploration of geological structures in coal mine plate tunnel based has always been one of the difficulties in mining engineering. Traditional methods such as geological drilling are affected by factors such as groundwater and rock deformation, making it difficult to accurately survey. A new geological structure exploration technology was proposed based on inversion layer control method to address this issue, which was of great significance for improving the level of geological structure exploration technology in plate tunnel based and enhancing mining production safety and efficiency. On the basis of introducing the theory and principles of layer control method, its advantages and characteristics in geological structure exploration were elaborated on, and the specific application process and methods of this technology in geological structure exploration of plate tunnel based were described in detail, mainly including data acquisition, processing, analysis and interpretation processes. The results show that this method can effectively identify and interpret large geological structures such as faults, folds, etc. in the geological structure exploration of the Changping Mine bottom pumping roadway, providing accurate geological basis for the design and construction of the roadway. This technology has strong feasibility and reliability.

Two kinds of double-hooked corrugated plate moisture separators with different draining hook structures were numerically investigated, and the gas-liquid two-phase flow model inside the corrugated plates was constructed by using computational fluid dynamics methods. The separation efficiency and pressure drop of the two corrugated plates were comparatively analyzed using the shear stress transport k-ω(SST k-ω) model and the discrete phase model(DPM) under different inlet velocity conditions. The results show that large-size droplets will be separated directly by impacting the separator wall under the effect of inertia, while small-size droplets with smaller inertia force and similar trajectory to the main stream will move with the main stream and are difficult to be captured. The draining hook structure will produce a certain amount of vortex, which will have a certain effect on the local gas flow rate of the flow field, and the main stream gas phase will bring in a portion of the droplets to increase its removal efficiency. When the inlet velocities of the SH-type and N-type corrugated plate are greater than 4 m/s and 6 m/s, respectively, the separation efficiency of the droplets with a particle size larger than 8 μm can reach 100%. When the overall separation efficiency of the two types of corrugated plates reaches 84%, the energy loss of the N-type corrugated plate is about twice as much as that of the SH-type corrugated plate. Comprehensive comparison of the pressure drop and separation efficiency of the two types of corrugated plate moisture separators with double hook, the similarities and differences in their structures, performance advantages and disadvantages were studied and analyzed.

With the continuous improvement of infrastructure, the issue of internal damage in the semi-rigid base layer structure of heavy traffic highways is becoming increasingly prominent. Particularly, the maintenance and reinforcement of semi-rigid base layers represent one of the urgent challenges that need to be addressed. Based on the South China Expressway project, the effectiveness of semi-rigid base layer grouting reinforcement was investigated. Five different grouting materials were used to treat the internal structure of the road surface. Three-dimensional ground penetrating radar and a falling weight reflectometer were combined to assess changes in internal damage and load-bearing capacity before and after grouting. Simultaneously, a evaluation system was constructed to assess the internal structure of the road surface treated with grouting,and analyze which grouting material achieves the best reinforcement effect based on indicators such as crack reduction coefficient(CRC), carrying capacity improvement coefficient(CIC) and repair uniformity coefficient(RUC). After evaluation, the grouting reinforcement effectiveness on the internal structure of the road surface by the five grouting materials is as follows: high-strength polymer(with waterproofing agent)>high-strength polymer(without waterproofing agent)>low-strength polymer(with waterproofing agent)>geopolymer>low-strength polymer(without waterproofing agent).

Cultural and creative industry is not only a new engine of economic growth, but also an important driving force for cultural and social development. Based on the modified spatial gravity model and social network analysis method, combined with the relevant data from 2000 to 2019, the spatial correlation and network structure evolution characteristics of China’s cultural and creative industries were studied and analyzed. The results show that the scale of China’s cultural and creative industries continues to expand, and the spatial correlation intensity increases year by year, and always presents an extreme distribution pattern of “strong in the east and weak in the west”. The core-periphery structure of China’s cultural and creative industries is obvious, with the core area more concentrated in the eastern coastal area and the fringe area mainly distributed in the western area of China. China’s cultural and creative industries have become more and more closely connected, forming a cohesive subgroup with close internal relations. The internal connections of subgroups are relatively stable, but the overall connections still have great shortcomings. There are different spillover relationships among the “main beneficiary”, “two-way spillover” and “broker” subgroups, and they play an important role in the whole network.

Based on the provincial panel data from 2011 to 2022, the principal component analysis and PVAR model were used to empirically test the evolution of the dynamic relationship between digital economy, human capital agglomeration and regional income gap. The results show that there is a dynamic two-way reciprocal relationship between human capital agglomeration and regional income gap, and regional development is promoted in a coordinated manner. The substitution effect between the digital economy and human capital factors is dominant, and the development of the digital economy is not conducive to the accumulation of regional human capital in the short term, which in turn widens the income gap between local and developed regions. In the long run, although the development of the digital economy still squeezes out human capital, it can narrow the regional income gap with its sharing and spatial spillover effect.