As a new productivity tool, construction robots will help promote the development of new business forms and industrial upgrading in the construction industry. Aiming at the problems that the traditional building floor grinding equipment must be manually followed and controlled with low construction efficiency, an intelligent and automatic floor grinding construction robot was designed. The overall technical scheme framework and key technical principles of the robot was analyzed and explained. Then, through engineering application cases, the construction process of the floor grinding robot was described, and the comprehensive construction benefits of the robot and traditional equipment were compared and analyzed. The result shows that the comprehensive construction cost reduction rate of the robot is about 19.4%, which has a higher construction cost advantage. Finally, the social benefits of popularizing and applying the robot was elaborated as well.

Safety evaluation is an important prerequisite and guarantee for the development of railway dangerous goods transportation. Taking a special railway lithium battery transportation project in Yibinm Sichuan as an example, the project area was divided into 8 evaluation units, and the safety check list method and fault tree method were used to evaluate the safety, and the main disaster control factors and safety work points were discussed. The results show that the safety checklist method is suitable for the inspection events specified in the specification provisions, and the fault tree method can effectively analyze the cause of the event and the weight of the elements through the minimum cut set and the importance calculation. The safety guarantee of transportation and loading and unloading operation should pay attention to personnel standard operation, labor protection and safe location of operation area.

With the development of engineering in cold regions, it is important to accurately derive the thermoplastic parameters of soils under freeze-thaw conditions. In view of the large error of the commonly used BP neural network to predict the thermal property parameters, 120 sets of thermal property parameters of frozen and thawed soil were used as samples, and the prediction model was improved by Bayesian regularization method to establish a multi-input and multi-output BP neural network, and the prediction accuracy of the model was significantly improved. Sensitivity analyses of the Bayesian neural network and random forest model were carried out with the improved Monte Carlo method and SHAP interpretation, respectively. The results show that the freeze-thaw condition does not change the sensitivity ranking of the influencing factors. The sensitivity of volumetric heat capacity and thermal conductivity to water content, dry density, and soil quality decreases in the order of freezing and thawing state, and the sensitivity of thermal conductivity to soil quality, water content and dry density decreases in the order of soil quality, water content and dry density.

Medium-depth geothermal energy is one of the important clean heating energy sources because of its large heat storage capacity, good stability and wide distribution range. When using medium-depth geothermal energy for heating, considering that a certain amount of cold build-up will be generated at the bottom of the medium-depth buried pipe, the stratum heat supply capacity will continue to decay with time, i.e., the water supply temperature of the geothermal wells will be gradually reduced with the extension of time. Especially in the uninterrupted heating operation mode, the stratum heat recovery capacity is limited, how to maintain a constant heat load at the user's end under the variable temperature heating condition at the ground source side has become an urgent problem to be solved. A single heating strategy is difficult to meet the heat load demand under the variable temperature heating condition of geothermal wells, therefore, the optimisation strategy of gradient heating was proposed, which could maximize the extraction of stratum heat, convert low-grade heat source into high-grade heat source, improve the efficiency of heat extraction and reduce the operating cost at the same time compared with the former. Finally, the application and analysis of the heating strategy were combined with the pilot demonstration project of medium and deep geothermal energy building heating in CCTEG Xi’an Research Institute(Group) Co. Ltd.. The results show that the the average energy consumption of the heating system for the full heating season is 57.2 kW, and the average energy-efficiency Ratio is 21.16, which has certain guiding significance for the efficient heating application of medium and deep geothermal energy.

Based on the data of tourism transportation, tourism accommodation and tourism activities, the carbon emissions of Xi’an's tourism industry from 2010 to 2021 was calculated using the “bottom-up” method. A decoupling model was constructed using the Tapio decoupling index, and the decoupling effect between carbon emissions and tourism economic growth was explored. The results show that the carbon emissions from tourism transportation are the main contributor of the carbon emissions of the tourism industry in Xi’an. The overall carbon emissions of Xi’an's tourism industry showes a downward trend, while there is still considerable room for improvement. The relationship between tourism carbon emissions and economic growth in Xi’an predominantly demonstrates a state of decoupling, indicating significant potential for further carbon reduction.

Taking seven popular BYD models as research objects, 27 283 long-text reviews from AutoHome and DongCheDi were collected. Effective short texts were extracted using the DeepSeekV2 model, followed by BERTopic modeling to identify key consumer focus areas, including pure electric performance, blade battery and noise control. The experimental results reveal that consumers give positive feedback on battery technology and range capability but express concerns about comfort-related issues such as tire noise, wind noise and interior odors. The contributions of this study include proposing the use of the DeepSeekV2 model to split long texts, enhancing the adaptability of BERTopic in data analysis,and combining semantic embedding and hierarchical clustering techniques to uncover consumers’ multidimensional concerns and their structural relationships.

Taking the Shanghai and Shenzhen A-share listed companies from 2012 to 2022 as an example, the relationship between the degree of enterprise digital strategic commitment and the risk of stock price crash was discussed. The results show that high-level digital strategic commitment can reduce the risk of stock price crash, and reveal the mechanism of information asymmetry in the influence between enterprise digital strategic commitment and the risk of stock price crash. By exploring the economic consequences of enterprise digital strategic commitment and the influencing factors of the risk of stock price crash, this study can fully realize the potential economic value of enterprise digital strategic commitment and promote the realization of high-quality development goals of enterprises and capital market.

Aiming at the problem of information asymmetry among members of agricultural products supply chain, the Stackelberg game model of wholesale sales and agency sales was constructed by introducing brand building variables,and the pricing strategy and sales model selection in agricultural products supply chain were explored. The results show that under different market demands,the optimal pricing of green agricultural products is affected by the substitutability rate between the two agricultural products, and the commission rate and high market demand probability jointly affect the choice of the optimal sales model of cooperatives and e-commerce platforms. A suitable cooperative sales model is helpful for cooperatives and e-commerce platforms to achieve a win-win situation.

At present, Guangxi agricultural industry is facing the dilemma of large but not strong, and it is urgent to explore effective strategies for industrial upgrading and transformation in order to promote the high-quality development of agricultural economy. In order to explore the path of high-quality agricultural development in Guangxi, Wuming mandarin orange was taken as a case study to explore the mechanism and depth of its three-chain fusion. It is found that the three-chain integration effectively promoted the upgrading and transformation of the citrus industry. Under the guidance of the government, Wuming mandarin orange industry builds smart agriculture through the integration of production, learning and research, and cultivates a group of leading enterprises to drive farmers to produce and plant, which initially shows the “smart orchard” planting and production management mode of intelligent data. At the same time, the introduction of intelligent processing equipment and modern marketing management, in order to enhance the competitiveness of the downstream industry. In the process of the construction of smart agriculture, the three chains gradually integrated with each other, and the degree of integration is continuously deepened. Finally, by constructing the fuzzy evaluation index system of three-chain fusion, the current three-chain fusion of the mandarin orange industry is evaluated, and it is concluded that the three-chain fusion of the citrus industry is in the cultivation stage, and the depth of the integratation of the three chains needs to be further enhanced.

Panel data of 30 provinces (Due to the lack of data, the statistical data mentioned here do not include the Tibet Autonomous Region, the Hong Kong Special Administrative Region, the Macao Special Administrative Region and Taiwan Province) in China from 2013 to 2022 were selected to construct the index system of new quality productivity development, and the entropy method was used to measure the index system to explore the impact of new quality productivity on cultural product exports. The empirical analysis shows that the development of new quality productivity has a significant promotion effect on the export of cultural products, and the conclusion is still valid after the robustness test and dealing with the endogeneity problem. The promotion effect of new quality productivity on the export of cultural products shows obvious heterogeneity effect in terms of geographic regions and the degree of opening up to the outside world, and the promotion effect is more significant in the middle-eastern region and the region with a high degree of opening up to the outside world. The further mechanism test shows that the new quality productivity can promote the export of cultural products by improving the level of regional scientific and technological innovation.