Abstract
At present, it is difficult to continue the development of traditional logistics industry, and smart logistics is becoming an important source for the trans-formation and upgrading of the logistics industry. This article first analyzes the key technologies of smart logistics, from the three aspects of information platform related technology, intelligent transportation system, and intelligent distribution technology, specific analysis of data collection and automatic identification technology, data management technology, navigation and positioning technology, information processing technology, visual supervision and control technology, big data technology, cloud computing technology, Artificial Intelligence logistics technology, 5G technology, Internet of Things Technology. And then briefly analyzes the application of smart logistics. As the foundation of the development of an intelligent society, smart logistics plays a major role in promoting economic development and optimizing the allocation of world resources.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Yaqiong, L., et al.: Data-driven design and optimization for smart logistics parks: towards the sustainable development of the steel industry. Sustainability 12(17), 7034 (2020)
Max, L., et al.: Shortening the last mile in urban areas: optimizing a smart logistics concept for e-grocery operations. Smart Cities 3(3), 585–603 (2020)
Li, X., Ma, H.: Soft computing in smart logistics. Soft Computing 2020, 1–3 (2020)
Liu, K., Bi, Y., Liu, D.: Internet of Things based acquisition system of industrial intelligent bar code for smart city applications. Comput. Commun. 150, 325–333 (2020)
Zhong, Y., et al.: Data center management technology based on RFID automatic radio frequency identification technology. J. Intell. Fuzzy Syst. 37(5), 6013–6020 (2019)
Qinglan, H., Hongyi, H.: Intelligent electronic management of library by radio frequency identification technology. Data Sci. J. 18(1), 53–55 (2019)
Jianbin, X., et al.: A review of plant phenotypic image recognition technology based on deep learning. Electronics 10(1), 81–82 (2021)
Fang, Q., et al.: Research on intelligent image recognition technology based on equalization algorithm. J. Phys: Conf. Ser. 1748(4), 42–65 (2021)
Hammoudi, S., Quix, C., Bernardino, J.: Data Management Technologies and Applications. Springer, Cham (2020)
Jiangtao, X., et al.: Checking unscented information fusion algorithm for autonomous navigation vehicles. Optik 179, 1140–1151 (2019)
Pla, F., et al.: Building perspective models to guide a row crop navigation vehicle. Image Vis. Comput. 15(6), 465–473 (1997)
Tashmanov, E.B., Saidboyev, B.J., Kamilov, M.A.: Processing of video information in unmanned aerial vehicles. J. Crit. Rev. 7(15), 1714–1720 (2020)
Hao, Y., Huang, Y., Feng, Y.: Research on the application of big data technology in information statistics research system. J. Phys. Conf. Ser. 1865(4) (2021)
Zhang, Q., Ma, D.: Research on network security analysis based on big data technology application. J. Phys. Conf. Ser. 1744(3), 032199 (2021)
Bomhard, D., Daum, A.: Cybersecurity in outsourcing and cloud computing: a growing challenge for contract drafting. Int. Cybersecur. Law Rev. 2, 1–11 (2021)
Ma, Y., et al.: Artificial intelligence applications in the development of autonomous vehicles: a survey. IEEE/CAA J. Automatica Sin. 7(2), 315–329 (2020)
Guevara, L., Cheein, F.A.: The role of 5G technologies: challenges in smart cities and intelligent transportation systems. Sustainability 12, 6469 (2020)
Tan, R., Zhai, H.: Construction of intelligent logistics system based on internet of things technology. J. Phys. Conf. Ser. 1883, 012095 (2021)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Li, Z., Wang, Y., Ji, Y. (2022). Analysis of Key Technologies and Application Status of Smart Logistics. In: Wu, M., Niu, Y., Gu, M., Cheng, J. (eds) Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021). ICAUS 2021. Lecture Notes in Electrical Engineering, vol 861. Springer, Singapore. https://doi.org/10.1007/978-981-16-9492-9_275
Download citation
DOI: https://doi.org/10.1007/978-981-16-9492-9_275
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-9491-2
Online ISBN: 978-981-16-9492-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)