Using the carbon emissions trading pilot policy implemented since 2011 as a quasi-natural experiment, this paper constructs a multi-period DID model based on panel data of 280 prefecture-level cities from 2006–2019 to explore the impact of the carbon emissions trading pilot policy on industrial structure upgrading and conducts a heterogeneity test and mechanism test. This study finds that the carbon emissions trading pilot policy significantly promotes the upgrading of industrial structures, especially for larger cities and non-resource-based cities. Further exploration of the impact mechanism shows that the carbon emissions trading pilot policy promotes industrial structure upgrading mainly through green innovation. The findings of the study have significant implications for the construction of a high-quality, modernized economic system in China.

Climate change is a critical global concern, and China's carbon emissions trading system (ETS), which was introduced in 2011, has significantly contributed to fostering green innovation. Based on the panel data of 284 cities in China from 2006 to 2020, the study examines the impacts and mechanisms of ETS on green innovation using difference in differences method (DID), mechanism testing models, and moderating effect models, and explores the spillover effects of the policy with the help of spatial Durbin models. The study finds that overall, ETS can significantly promote green innovation, with a more significant incentive effect observed for eastern and western cities and resource cities. In terms of the mechanism of action, ETS promotes green innovation by reducing the scale of foreign investment and improving the quality of foreign investment. Additionally, government environmental attention can significantly and positively regulate the relationship between ETS and green innovation. From a spatial spillover perspective, ETS can significantly enhance green innovation in local cities, but it may also inhibit green innovation in neighboring cities. The findings of this study hold significant implications for expediting the transition towards a green economy and promoting sustainable development.

In this paper, a multisensor data acquisition system based on FPGA is designed to provide an overview of the current development of the company based on the theoretical knowledge of enterprise development strategy. Through a comprehensive investigation of the company’s internal environment, the advantages and disadvantages of the company at this stage are clarified, and the opportunities and threats to the company’s development are analyzed in the context of the external macroenvironment and industry development. The coupling coordination degree from 2011 to 2025 was measured using the coupling coordination degree model based on the original data and the prediction results, and the results showed that from 2011 to 2025, the coupling coordination degree of Hebei Province showed a continuous growth and experienced the transition from low coordination, basic coordination, to medium coordination in the coupling coordination stage, aiming at the most innovative fields, mastering the most advanced technologies, cooperating with industry giants, innovating, and building digital ecology, creating, and forming core competitiveness based on core independent products and platform-based solutions, and further promoting transformation and upgrading and high-quality development. In this paper, the data acquisition system is tested by building an experimental platform. The main purpose is to test the stability and accuracy of each module of the data acquisition system. After each module test of the system meets the design requirements, the parallel mechanism attitude transformation test experiment is completed, including the moving platform moving test experiment and the moving platform rotation test experiment. The experimental results show that the designed data acquisition system has stable program and reliable function.