Abstract
Multi-heterogeneous sensor information fusion under traditional technology conditions was slow, inaccurate, incomplete, and inconsistent, which led to errors in data analysis and affect evaluation results. To this end, IoT technology was used to study the multi-source heterogeneous sensor information fusion method. Four methods of data acquisition, data abstraction and access, feature fusion algorithm design of high attribute dimension data, and feature level information fusion method were used to creatively change the traditional operation method. The experiment proved that the IoT data information presented new characteristics under the universal characteristics of the Internet of Things, and used the high-level knowledge evolution mechanism of the information resource development chain to study the state evolution of the Internet of Things information in its life cycle. The mechanism was to customize the guiding strategy for the integration of high-quality information in the Internet of Things.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Jin, F., Xu, Ll. (2020). Research on Multi-source Heterogeneous Sensor Information Fusion Method Under Internet of Things Technology. In: Zhang, YD., Wang, SH., Liu, S. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-030-51100-5_6
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DOI: https://doi.org/10.1007/978-3-030-51100-5_6
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