Abstract

With the upgrading of logistics demand and the innovation of modern information technology, the smart logistics platform integrates advanced concepts, technologies, and management methods, maximizes the integration of logistics resources and circulation channels, and effectively improves the efficiency of logistics transactions, but its energy consumption problem is particularly prominent. The study of intelligent measurement and monitoring of carbon emissions in smart logistics is of great value to reduce energy consumption, reduce carbon emissions in buildings, and improve the environment. In this paper, by comparing and analyzing the accounting standards of carbon emissions and their calculation methods, the carbon emission factor method is selected as the method to study the carbon emissions of the smart logistics process in this paper. The working principle of each key storage technology in the smart logistics process is analyzed to find out the equipment factors affecting the carbon emission of each storage technology in the smart logistics process, and the carbon emission calculation model of each key storage technology is established separately by using the carbon emission factor method. Meanwhile, according to the development history of energy consumption assessment, the assessment process of different stages from logistics storage energy consumption assessment to smart logistics energy consumption assessment is analyzed, and based on this, a carbon emission energy consumption assessment framework based on 5G shared smart logistics is constructed. This paper applies the supply chain idea to define the smart logistics supply chain, constructs a conceptual model of the smart logistics supply chain considering carbon emissions, and at the same time combines the characteristics of the smart logistics supply chain to analyze the correlation between the carbon emissions of the smart logistics supply chain and the related social, environmental, and economic systems.

Highlights

  • Smart logistics marked by modern information technology has become an important grasp of the supply-side structural reform of the logistics industry, which can effectively integrate social resources, reduce labor costs, meet the personalized needs of consumers, and realize the wisdom of the logistics industry upgrade; energy is the engine and power of human economic development and an important support for modern social civilization

  • The narrow definition of shared intelligent logistics energy consumption assessment refers to the assessment of the degree of energy consumption by integrating the whole life cycle of shared intelligent logistics of products into the service industry, with the whole life cycle of services as the mainline; its broad definition refers to the assessment of the energy consumption of shared intelligent logistics in each stage of the whole life cycle of services and the waste emissions, time spent, and energy flow involved in the Journal of Sensors dynamic tracking, and the assessment is aimed at high-quality and low-consumption logistics process, energy-saving and emission reduction process, and optimal remaining service life to improve the production efficiency and material utilization [2]

  • Singularity refers to the singularity of the energy consumption assessment method, and the core of the assessment method is mainly the establishment of mathematical models and simulation and calculation based on energy consumption data, etc.; process refers to the fact that the assessment process has a certain time interval and cannot reflect the instantaneous energy consumption of this logistics service comprehensively; fragmentation refers to the fact that the current energy consumption assessment mainly considers the output energy consumption of machinery in the physical space alone or in the information

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Summary

Introduction

Smart logistics marked by modern information technology has become an important grasp of the supply-side structural reform of the logistics industry, which can effectively integrate social resources, reduce labor costs, meet the personalized needs of consumers, and realize the wisdom of the logistics industry upgrade; energy is the engine and power of human economic development and an important support for modern social civilization. Due to the compensation policy and capital investment, the carbon emission of the production link is reduced through green raw materials, order-based production, and energysaving manufacturing, the carbon emission of the storage link is reduced through green packaging and energy-saving storage and direct sales by manufacturers, and the carbon emission of the recycling wisdom is reduced through the optimization of transportation methods and transportation paths. This paper analyzes the influencing factors of carbon emissions in the logistics process through the study of carbon emissions of storage technologies in the process of shared smart logistics and provides some basis for the development of energy-saving and emission reduction measures in shared smart logistics

Related Work
Intelligent Carbon Emission Measurement and Monitoring for 5G Shared
Experimental Verification and Conclusion
Findings
Conclusion

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