Internet of Things Supervision System and Supply Chain Financial Supervision Methods Based on Blockchain Technology

Abstract

With the continuous progress of blockchain technology, how to use it for commodity traceability has become a concern. This study mainly discusses the Internet of Things supervision system and supply chain financial supervision method based on blockchain technology. The whole blockchain network is a decentralized system, which consists of six layers: data layer, network layer, and consensus layer. These three layers are the foundation layer; the other three layers are incentive layer, contract layer, and application layer. The interface of the platform needs to be conceived in combination with the business of building materials. According to the functional differentiation, the required interfaces mainly include information generation interface, information verification, information retrieval, and other information interfaces. Smart contracts can process data, operate asset transactions, manage smart assets, and expand the ability of blockchain to use data. In this way, the blockchain technology can trace the source of the data, so as to ensure the authenticity and security of the data. Blockchain technology can be used in data tracking. Specifically, in the building materials industry, with the help of blockchain technology, building material mixing enterprises can see the raw materials such as sand and gravel purchased under the order, the region where they are produced, the time point of transportation, the carrier, etc. In the process of supply chain financial supervision experiment, when the pledge rate of building materials is within the range of [0.4206,1], the bank income under the block chain mode is higher. The system designed in this study realizes the certification and traceability of building materials and has good use value.

Blockchain-Based Access and Timeliness Control for Administrative Punishment Market Supervision

“…There are also some studies on the application of blockchain to market supervision [46][47][48][49], but few provide deep insights or a systematic design.…”

A Novel Tripartite Evolutionary Game Model for Internet Consumer Financial Regulation

“…Based on the experiments of the Bank of England and the Financial Conduct Authority, Micheler and Whaley (2020) summarized the advantages and disadvantages of integrating AI into regulatory law. Zhang (2021) and Gozman et al (2020) addressed the problem of data authenticity and security. Based on blockchain technology, we could find the source of data.…”

“…Wang et al, 2022), Generalized ARCH (GARCH) (H. Li & Wang, 2018), Vector Autoregressive Model (VAR) (Ouyang & Mo, 2016), Cox proportionalhazards model (Cox) (C. Li & Shen, 2018), etc. Computer technology includes artificial intelligence (AI) (Wall, 2018), cloud technology (Liao, 2021), blockchain (Gozman et al, 2020;Zhang, 2021), and so on.…”

“…Internet consumer finance carries certain financial risks, which may trigger consumer debt crises and economic and social problems, especially in the past 3 years of COVID-19. Effective monitoring of Internet consumer finance has become a significant challenge for the government (Zhang, 2021). Therefore, it is crucial to build a systematic regulatory model to regulate Internet consumer finance participants and industry development.…”

“…Li & Shen, 2018), etc. Computer technology includes artificial intelligence (AI) (Wall, 2018), cloud technology (Liao, 2021), blockchain (Gozman et al, 2020; Zhang, 2021), and so on.…”