# Research on Monitoring and Early Warning of the Mine Backfill System Based on Blockchain Technology
## 6 Conclusions  
Blockchain technology and deep learning are applied to the mine filling process. The overlimit early warning system for mine filling equipment based on the blockchain proposed in this paper achieves the functions of overlimit early warning, data storage, and retrieval of equipment operation. The overlimit early warning model applies transfer learning to detect and warn of the overlimit data of the equipment during the operation of the mine filling system. The experimental results show that the accuracy of this method is high, and it can predict abnormal conditions in the operation of a mine filling system in advance. Based on the combination of the blockchain and IPFS, the monitoring data are stored, which reduces the size of the blockchain and improves the performance of  
\begin{table}
\begin{tabular}{c c c c c c c c} \hline  & **Time** & **Predicted Value** & **Actual Value** & & **Time** & **Predicted Value** & **Actual Value** \\ \hline
1 & 11:32:55 & 65.32 & 66 & 11 & 11:33:45 & 49.22 & 50 \\
2 & 11:33:00 & 63.35 & 64 & 12 & 11:33:50 & 48.80 & 50 \\
3 & 11:33:05 & 61.44 & 62 & 13 & 11:33:55 & 48.35 & 50 \\
4 & 11:33:10 & 59.44 & 60 & 14 & 11:34:00 & 47.80 & 50 \\
5 & 11:33:15 & 57.40 & 58 & 15 & 11:34:05 & 46.99 & 48 \\
6 & 11:33:20 & 55.43 & 56 & 16 & 11:34:10 & 45.85 & 46 \\
7 & 11:33:25 & 53.64 & 54 & 17 & 11:34:15 & 44.36 & 44 \\
8 & 11:33:30 & 52.09 & 52 & 18 & 11:34:20 & 42.38 & 42 \\
9 & 11:33:35 & 50.76 & 50 & 19 & 11:34:25 & 40.34 & 40 \\
10 & 11:33:40 & 49.82 & 50 & 20 & 11:34:30 & 38.21 & 38 \\ \hline \end{tabular}
\end{table}
Table 1: Partial comparison results of actual and predicted values of slurry level in the mixing tank.  
data transmission and retrieval. The alliance chain is used to standardize the functions of administrators and users. The dispatcher is responsible for storing and retrieving data. The inspector verifies the trust of the dispatcher. The user obtains the monitoring data from the dispatcher by means of data access credentials to ensure the security of the data retrieval process.  
The application of the blockchain in a mine filling system gives the mine database the characteristics of being tamper-proof and decentralized, and it ensures security in the process of mine data storage and transmission. The application of deep learning models can predict the overlimit in the operation of equipment in advance and ensure safety in the operation of mining equipment. In future work, it will be further combined with the actual mine filling process, with deep research into the blockchain data management model, optimization of the consensus algorithm, and improved performance of monitoring data transmission and retrieval.  
Conceptualization, funding acquisition, methodology, X.Q.; software, J.H. and J.Z.; validation, J.H.; writing--original draft, review, and editing, visualization, X.Q., J.H. and J.Z.; supervision, L.L., P.W. and L.D. All authors have read and agreed to the published version of the manuscript.  
This research was funded by the National Natural Science Foundation of China (Nos. 51904224 and 52004207) and the Natural Science Basic Research Plan of Shaanxi Province of China (No. 2019 JM-074).  
Not applicable.  
Informed Consent Statement: Informed consent was obtained from all subjects involved in the study.  
Not applicable.  
This research was supported by the National Natural Science Foundation of China (Nos. 51904224 and 52004207) and the Natural Science Basic Research Plan of Shaanxi Province of China (No. 2019 JM-074).  
The authors declare that there is no conflict of interest regarding the publication of this paper.