# Special Equipment Safety Supervision System Architecture Based on Blockchain Technology
## 1 Introduction
When these queryable data [13] are integrated with the analysis engine, fast and efficient accident responsibility tracing can be implemented. This safety supervision system with an effective accountability mechanism makes each participant treat their work carefully, and its transparency mechanism restricts the collusion between different participants in the work that requires multiple roles to participate, and the trust between different participants is also strengthened, due to the sharing mechanism of blockchain technology. Compared with other studies, the challenges and contributions of this paper can be summarized in the following three points:  
1. Different from other research in this field that focuses on safety factor analysis, this article focuses on improving the supervision efficiency by optimizing the supervision system and changing the supervision mechanism. There are many studies focused on safety factor analysis, which is the main research direction in the field of special equipment safety. [PERSON] [1] and [PERSON] et al. [14; 15; 16; 17] use a machine learning algorithm to build a risk assessment model for the identification of key safety risk factors based on a supervision perspective; however, these researches only pointed out the composition of the danger, and did not provide a feasible solution. In addition, using internet thinking to change the function and position of the government to reform the supervision mechanism of special equipment is in great demand in China today [18]. Therefore, we propose an innovative solution based on the safety supervision problems and key risk factors summarized in previous researches, which is the safety supervision system based on blockchain technology described in this paper. Taking \"transaction\" as \"information update\", we use the smart contract of blockchain to record the work information of supervision participants. In this way, we can ensure that there is sufficient and authentic data to be relied on when tracing accident responsibility. The Hyperledger Fabric adopted in this paper is an enterprise-grade, distributed ledger platform that offers modularity and versatility for a broad set of use cases [19], such as food traceability [20; 21; 22], education and training [23], smart energy management [24; 25], pharmaceutical supply chains management [26; 27], and financing [28; 29]. This type of blockchain offers the ability to create channels, allowing a group of participants to create a separate ledger of information update. Based on this feature, we have set up a channel for each special equipment within the scope of supervision, and all relevant working roles will enter the channel after obtaining permission. Each participant in the channel is regarded as a \"peer\", and the completion of each task is regarded as the process of building blocks. Each participant uploads their work information (e.g., daily information about the safety status of special equipment, inspection results from inspection agencies) through smart contracts, and the set of a lot of work information with time sequence constitutes a blockchain. 3. The expansibility of the system is considered in the design, and the overall design idea of the system architecture can be used for reference by other safety supervision fields. Through the establishment of a special equipment safety supervision system based on blockchain, we aim to not only solve the current supervision problems, but also to reserve an expandable space for new requirements in the future work. The modular architecture of Hyperledger Fabric provides technical support for the flexible expansion. The system architecture described in this paper is also a reference model for other fields that also have urgent needs for changing the current situation of safety supervision, such as the mining industry [30; 31; 32; 33], the hazardous chemicals industry [34; 35], and aircraft maintenance [36].