Research on the communication network synchronization and time traceability technology for low-carbon operation of smart parks

Changwei Shi; Hang Zeng; XiaoPing Fu; YiBin Luo; JiFu Wang

doi:10.1117/12.2639250

15 July 2022 Research on the communication network synchronization and time traceability technology for low-carbon operation of smart parks

Changwei Shi, Hang Zeng, XiaoPing Fu, YiBin Luo, JiFu Wang

Author Affiliations +

Proceedings Volume 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022); 122582B (2022) https://doi.org/10.1117/12.2639250
Event: International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 2022, Qingdao, China

Abstract

This research builds a time synchronization demand model, a clock network model and a hierarchical distributed architecture for low-carbon Operation Services in smart campus (cluster) , combined with the existing time synchronization network, beidou time service, 5G network time service, multi-source heterogeneous communication protocol time service and local time service multi-source synchronization, breakthrough precise remote time tracing technology, it can provide high-adaptability and high-precision synchronous time tracing source for new low-carbon optimized operation of Smart Park (cluster) carbon measurement, electric carbon fusion, carbon emission, carbon footprint monitoring, electric spot market and so on.

Citation Download Citation

Changwei Shi, Hang Zeng, XiaoPing Fu, YiBin Luo, and JiFu Wang "Research on the communication network synchronization and time traceability technology for low-carbon operation of smart parks", Proc. SPIE 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 122582B (15 July 2022); https://doi.org/10.1117/12.2639250

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