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In order to meet the practical needs of the people to equitably share the fruits of economic development, urban economic construction should be based on the coordinated development of the environment and the economy, which means that high-quality urban development should be realized through a greener and more inclusive path. Under the wave of the fourth industrial revolution, industrial intelligence, characterized by the application of industrial robots, provides an opportunity to promote the green and inclusive development of Chinese cities. Based on the construction of the Malmquist-Luenberger index to scientifically measure the level of inclusive green growth in cities, this study empirically examined the impact of industrial intelligence development on inclusive green growth and its internal mechanisms based on industrial robot application data from the International Federation of Robotics (IFR) from 2007 to 2020 and city-level data in China using various models. The study found that: (1) Industrial intelligence significantly contributed to inclusive green growth in cities, and the effect was more obvious in cities with lower financial support, a higher level of information infrastructure construction, and greater innovation and entrepreneurial dynamics, demonstrating significant heterogeneity in geographical location characteristics. (2) As far as the channels of action were concerned, industrial intelligence was mainly realized through the channels of promoting digital technology innovation and industrial structure upgrading. (3) The development of industrial intelligence had a positive spatial spillover effect on the enhancement of the inclusive green level of cities. Furthermore, if the driving effect could be effectively realized, the regional sustainable development capacity would be effectively enhanced. This paper seeks to enrich the empirical evidence and empirical research on the benefits of industrial intelligence development in promoting inclusive green growth in cities and to provide policy references for the development of smart manufacturing and inclusive green economic growth in cities. [ABSTRACT FROM AUTHOR]

Since the exploration of the characteristics of dredged mud slurry during batch settlement and low-pressure consolidation (less than 100 kPa) is still insufficient, the determination of the optimal time to start the vacuum preloading method (VPM) on dredged-fill foundations is still empirically oriented (due to a lack of enough scientific basis). To further explore the characteristics of dredged mud slurry during batch settlement and low-pressure consolidation, samples from typical dredged-fill land projects were obtained and used to conduct batch sedimentation model experiments and low-pressure (less than 100 kPa) consolidation tests. The results of experiments and analyses showed the following: (1) the clay (d < 0.005 mm) content is a main factor affecting the batch settlement and consolidation characteristics of dredged mud slurry, which is not conducive to the consolidation effect of dredged-fill foundations. (2) For dredged mud slurry whose clay content is within 40% to 60%, the cumulative change rate of the average porosity ratio of 60% to 75% is suitable for evaluating the steady state of its batch sedimentation process, i.e., the optimal starting time of VPM. Finally, based on the experimental analyses, a settlement prediction method that considers both the batch sedimentation and the low-pressure consolidation processes was developed and validated. [ABSTRACT FROM AUTHOR]