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.

With the continuous advancement of the urbanization process, the scale of cities has expanded rapidly, and the amount of floating population has grown rapidly. Big data not only brings changes in thinking, technology, and management but also promotes the renewal and development of social governance concepts, technologies, methods, and models, which creates new opportunities for urban floating population governance innovation. City governments at all levels are facing enormous management pressure and urgently need to promote innovative reforms in the governance of urban floating population. The development of information technology has developed into the era of big data, and strong data collection and processing capabilities can greatly improve the scientific level of urban floating population management. In the research of spatial correlation of innovation ability, the research of domestic and foreign scholars has been very mature, and the methods used are more comprehensive, combining big data with urban floating population governance, placing urban floating population governance in the context of big data research and analysis, exploring the channels for the government to use big data to optimize urban floating population governance, and putting forward specific and feasible countermeasures and suggestions. After a series of tests, the double-fixed-effects spatial Dubin model is used to explore the influence of population structure on regional innovation ability from five aspects: population urban-rural structure, population industrial structure, population education structure, population age structure, and population density. The results show that the population structure of higher education has the most significant role in promoting regional innovation capability, followed by urban population, population density, and secondary industry population structure; the working-age population structure has no significant impact on regional innovation capability; provincial innovation capability has a significant effect positive spatial spillover effect.

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