Intelligent Measurement and Monitoring of Carbon Emissions for 5G Shared Smart Logistics

Zhang, Ailing; Li, Sha; Tan, Lin; Yangshan, Sun; Yao, Fuxiao

doi:10.1155/2022/8223590

Cited by 8 publications

(6 citation statements)

References 21 publications

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“…e benefits of research on logistics data separation are high. Zhang et al pointed out that the key to establishing a dynamic logistics alliance is smooth information dissemination and communication and analyzed the realization process of information dissemination and communication in detail [4]. Iranmanesh and others believe that the superior performance of reverse logistics is inseparable from the support of information technology.…”

Section: Literature Reviewmentioning

confidence: 99%

Intelligent Analysis of Logistics Information Based on Network Dynamic Data

Yan¹

2022

Journal of Control Science and Engineering

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Based on the concept of market sharing, the author has developed Internet technology-based logistics distribution data exchange to control the cost of shipping to benefit the transfer for new types of management and operations. Investigate the needs of export shipments, such as external management responsibilities, requirements of management responsibilities, data recovery, and data recovery requirements, based on the current state of the shared platform model integration, and determine the business model. Based on this, three types of IoT cloud, such as single-center multiterminal, multicenter multiterminal, and data and application layer, can be completed and the Internet of Things can be defined by education. About the use of the cost of distribution, the transportation contract is to identify the needs of Internet technology-based logistics distributions and complete the construction of Internet technology-based logistics distribution information exchange platform. The results of the experiment showed that the results recorded in the test group did not differ from the actual results only twice, the level of difference was small, and the mean error was less than 1%. In terms of logistics distribution exposure, the average level of the assessment group is significantly higher than that of the management group, with a minimum collection rate of 90.07%, while the minimum value of the control group is as low as 76.32%. Compared with blockchain-based integration, Internet of Things technology-enabled sharing platforms can capture real-time data, transfer data, monitor shipping costs, and improve management and operations.

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Section: Literature Reviewmentioning

confidence: 99%

Intelligent Analysis of Logistics Information Based on Network Dynamic Data

Yan¹

2022

Journal of Control Science and Engineering

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“…There is no consensus that the use of robots will decrease carbon emissions and improve environmental quality; most relevant studies also attach little importance to the regional heterogeneous effect of robotic input and intensive research on the influence mechanisms. Also, although some researchers study the energy‐saving and carbon reduction effects of ICT (Ulucak et al, 2020; Usman et al, 2021), smart logistics (Zhang et al, 2022), and other technologies, there are still no consistent conclusions. These studies only select the number of robots as a proxy or only analyze the environmental effect of ICT or other single smart technology.…”

Section: Literature Review and Theoretical Analysismentioning

confidence: 99%

Towards low‐carbon sustainable development under Industry 4.0: The influence of industrial intelligence on China's carbon mitigation

Tian

Qin

Cheng

et al. 2023

Sustainable Development

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Global climate change is becoming an increasingly serious issue. China, the largest carbon emitter, has a long way towards its sustainable development goals (SDGs) and take on its carbon reduction responsibility, especially in the industrial sector. In this vein, industrial intelligence, a key driver in the “Industry 4.0 era”, offers an opportunity in this carbon reduction campaign. This paper seeks to examine the influences of industrial intelligence on carbon emissions, their heterogeneous characteristics and transmission mechanisms, and the moderating role of human capital. Therefore, we properly probed theoretical aspects, and then we used China's provincial data from 2006 to 2019 and a number of tests, namely the fixed effect model, the two‐stage test, and the moderating effect model, to test the relevant assumptions. We first unfolded that industrial intelligence can significantly mitigate carbon emissions. Specifically, the heterogeneous analysis found that carbon reduction efforts are more pronounced in China's central and western regions and resource‐based regions. We further highlight the mechanism identification, which reveals that industrial structure upgrading and technological innovation are the main channels for industrial intelligence to abate CO2 emissions. Importantly, we pinpoint the role of human capital, which positively moderates the relationship between industrial intelligence and carbon emissions and can well amplify the industrial structure effect of industrial intelligence. These results are conducive to accurately assessing the environmental benefits of industrial intelligence and providing policy enlightenment for China to alleviate carbon emissions, and they will also offer a reference for other developing countries to learn from.

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“…Zhang et al [47] published a study on smart CO 2 emissions measurement and monitoring in smart logistics. They used a technique called carbon emission factors to analyse the CFs of smart logistics processes.…”

Section: Iot-based Visualisation Platforms For Tracking the Household Cfmentioning

confidence: 99%

A Review of Internet of Things-Based Visualisation Platforms for Tracking Household Carbon Footprints

Olatomiwa,

Ambafi,

Dauda

et al. 2023

Sustainability

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Carbon dioxide (CO2) and other greenhouse gases are the main causes of global climate change. This phenomenon impacts natural and human systems around the world through the rising global average surface temperature, extreme weather, changes in precipitation patterns, rising sea levels, and ocean acidification. However, this concept is alien to most people in developing countries. They are also unaware of the connection between energy efficiency and climate change. This dearth of knowledge makes them opt for highly inefficient appliances. Internet of Things (IoT)-based visualisation platforms for tracking household carbon footprints (CFs) have been seen as a good concept for combating this global phenomenon; however, there are potential challenges and ethical restrictions that must be addressed when implementing platforms for tracking household CFs. It is also vital to consider the user’s viewpoint and current technological state to ensure successful implementation and adoption. As the literature in this area is rapidly developing, it is crucial to revisit it occasionally. This paper presents a systematic review of IoT-based visualisation platforms for household CFs, including their definitions, characteristics, decision-making processes, policy development, related services, benefits, challenges, and barriers to implementation. Finally, it offers suggestions for future research.

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Intelligent Measurement and Monitoring of Carbon Emissions for 5G Shared Smart Logistics

Cited by 8 publications

References 21 publications

Intelligent Analysis of Logistics Information Based on Network Dynamic Data

Intelligent Analysis of Logistics Information Based on Network Dynamic Data

Towards low‐carbon sustainable development under Industry 4.0: The influence of industrial intelligence on China's carbon mitigation

A Review of Internet of Things-Based Visualisation Platforms for Tracking Household Carbon Footprints

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