02239nas a2200205 4500000000100000000000100001008004100002260001200043653002800055653002300083653003000106653003500136100001800171245013800189856005800327300001100385490000600396520161700402022001402019 2024 d c09/202410aArtificial Intelligence10aInternet of things10aSignal Acquisition System10aTraffic Electronic Information1 aHongling Wang00aDesign of Traffic Electronic Information Signal Acquisition System Based on Internet of Things Technology and Artificial Intelligence uhttps://www.ijimai.org/journal/bibcite/reference/3472 a97-1050 v83 aThis study aims to devise a traffic electronic information signal acquisition system employing Internet of Things and artificial intelligence technologies, offering a novel approach to address prevailing challenges related to traffic congestion and safety. Initially, the hardware circuit for the high-speed signal acquisition control core is developed, leveraging Field-Programmable Gate Array technology. This facilitates wireless monitoring of signal acquisition. Subsequently, a comprehensive time signal acquisition system is formulated, encompassing modules for communication, acquisition, storage, adaptive measurement, and signal analysis. The geomagnetic acquisition module within this system is utilized for collecting geomagnetic signals, which are then translated into switch signals indicating the presence or absence of vehicles. These signals are subsequently transmitted to the geomagnetic signal processor. Experimental results pertaining to the signal acquisition system reveal a notable peak storage speed of 200KB/s, considering the utilization of one million sampling points. Across a series of tests, the maximum relative error of the obtained results ranges from 2.2% to 2.7%, underscoring the consistency and reliability of the measurements. In comparison to existing testing devices, the system exhibits heightened accuracy in test results, rendering it more apt for traffic signal acquisition applications. In conclusion, this study accomplishes the collection and dissemination of diverse traffic information, furnishing robust support for traffic control and ensuring safe operations. a1989-1660