# Research on Monitoring and Early Warning of the Mine Backfill System Based on Blockchain Technology
###### Abstract  
At present, the mine filling system is a mostly automated operation process, and it has many problems, such as centralized data storage and low safety performance. Aiming at solving the above problems, this paper proposes a mine filling overlimit warning system based on blockchain to achieve the functions of an equipment operation overlimit warning, data storage, and data retrieval. Firstly, the original data model is trained based on transfer learning to obtain the overlimit early warning model and predict the overlimit of equipment operation. Then, the interplanetary file system (IPFS) storage device is used to store the running data and overlimit data, and the corresponding file identifier CID is stored on the blockchain. At the same time, alliance chain technology is used to allow administrators and users to retrieve data based on credentials to ensure the privacy of the data retrieval process. System experiments and analysis evaluations show that the combination of blockchain and IPFS to store monitoring data can effectively save storage space and improve the efficiency of storage and retrieval. The application of an overlimit early warning model can optimize the mine filling process and prolong the operational life of system equipment. blockchain; alliance; mine equipment; transfer learning Article Research on Monitoring and Early Warning of System Based on Blockchain Technology, April. Sci. 1  
[PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Research on Monitoring and Early Warning of the Mine Backfill System Based on Blockchain Technology, April. Sci. 1 College of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an 710054, China 1,  
2 College of Energy Engineering, Xi'an University of Science and Technology, Xi'an 710054, China 1,  
2 College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an 710054, China 1,  
of the central management mode of the mine database, the security of monitoring data transmission and access cannot be safely guaranteed. At present, most of the research on mine monitoring systems is based on the combination of software and hardware. For example, [PERSON] [9] proposed a server architecture based on cloud computing and adopted the AES data encryption algorithm to improve data security. [PERSON] et al. [10] proposed a safety monitoring system based on a CAN bus, which can detect anomalies in underground intelligent nodes and send out early warning information. [PERSON] [11] proposed a data center architecture, using different sensors to build different monitoring systems and employing an adaptive noise reduction method to monitor early warning in a mine filling system. However, these are based on the original system for different hardware references, not involving overall software-specific research. The huge amount of data generated during the mine filling process is stored on the blockchain, which causes the blockchain to be too large. Therefore, many scholars have proposed a method of combining the IPFS with the blockchain to store data and reduce the volume of the blockchain. [PERSON] [12] proposed a blockchain storage optimization scheme based on IPFS, which limits the blockchain's capacity by reducing the size of the upper chain data. [PERSON] et al. [13] used IPFS to build a storage and distribution system for the decentralized media asset platform in the media service center. The files were distributed for storage and transmission using the IPFS protocol, which achieved both secure storage of media data and CDN network optimization while reducing resource storage costs. [PERSON] et al. [14] used the characteristics of blockchain decentralization and non-tampering combined with IPFS to jointly maintain the distributed and reliable storage of music data and built nodes in the alliance chain scenario for data verification. The Ethereum consensus mechanism avoids computational mining to reduce the consensus time of the entire network's nodes.