Abstract
Big data technology has become a hot research area and has expanded into the field of public safety. Public safety big data uses satellite data for large-scale detection, aerial data for regional abnormality inspections, and ground sensor data for abnormal target positioning, which can realize the prediction and early warning of public safety events. This article focuses on the application of skyland big data in the chemical park, and builds the chemical industry park’s personnel management system, vehicle management system, perimeter management system, and fire accident warning system. The construction of a big data system application demonstration in the chemical park assists the construction of the park. Become a smart chemical park.
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Acknowledgement
This work is supported by National Key R&D Program of China (No. 2018YFB1004605).
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Cheng, C., Wu, J. (2020). Intelligent Management of Chemical Industry Parks Based on Big Data. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1147. Springer, Cham. https://doi.org/10.1007/978-3-030-43309-3_101
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DOI: https://doi.org/10.1007/978-3-030-43309-3_101
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