Welcome to Scholar Publishing Group

International Journal of Engineering Technology and Construction, 2022, 3(1); doi: 10.38007/IJETC.2022.030102.

Numerical Simulation Research on Paste Filling Mining of Metal Mines Based on Blockchain Technology under the Background of Agricultural Environmental Protection


Rosa Cantero

Corresponding Author:
Rosa Cantero

University of Frankfurt, Germany


In recent years, environmental protection and sustainable development have become important directions in my country's development strategy. In response to the concept of "green mining", this article focuses on metal mine mining and conducts a numerical simulation study on paste filling technology. Compared with traditional mining methods, the range of materials available for paste filling is wider, which has a more positive impact on environmental protection. This paper combines blockchain technology with numerical simulation research to compare and analyze the filling rate of different filling methods and the damage to the overlying strata during mining, highlighting the technical advantages of paste filling mining. In the laboratory experiment, this article optimizes and adjusts the paste ratio, and studies the influence of materials on the strength of paste by adjusting a single factor. At the same time, this paper analyzes the filling effect of the paste filling body and its control effect on the surface subsidence, and compares the observation data with the actual surface to verify the accuracy of the numerical simulation. From the experimental data, when calculating the surface subsidence coefficient, according to the maximum surface subsidence value and the maximum horizontal movement value obtained by the simulation, the surface subsidence coefficient of the straddle method is calculated to be 0.67, and the surface subsidence coefficient of paste filling mining is 0.02 , About 2% of the subsidence coefficient of the subsidence method. It can be seen that paste filling mining has a significant effect in controlling surface subsidence.


Blockchain Technology, Paste Filling Mining, Agricultural Environmental Protection, Numerical Simulation Research

Cite This Paper

Rosa Cantero. Numerical Simulation Research on Paste Filling Mining of Metal Mines Based on Blockchain Technology under the Background of Agricultural Environmental Protection. International Journal of Engineering Technology and Construction (2022), Vol. 3, Issue 1: 17-32. https://doi.org/10.38007/IJETC.2022.030102.


[1] B, S, Choudhary. Paste filling - an overview to improve the quality of filling material. Journal of Mines, Metals & Fuels, 2015, 63(8):205-213.

[2] Khaldoun, Abdelhadi, ouadif, et al. Valorization of mining waste and tails through paste filling solution, imager operation, Morocco . Journal of mining science and technology: English edition, 2016 (3): 511-516 https://doi.org/10.1016/j.ijmst.2016.02.021

[3] Liu Y , Lu C , Zhang H , et al. Experimental study on chemical activation of recycled powder as a cementitious material in mine paste backfilling. Environmental Engineering Research, 2016, 21(4):341-349. https://doi.org/10.4491/eer.2015.129

[4] Lemieux V L . Trusting records: is Blockchain technology the answer?. Records Management Journal, 2016, 26(2):110-139. https://doi.org/10.1108/RMJ-12-2015-0042

[5] John, Huetter. Blockchain Technology. Automotive recycling, 2018, 38(3):30-37.

[6] Sikorski J J , Haughton J , Kraft M . Blockchain technology in the chemical industry: Machine-to-machine electricity market. Applied Energy, 2017, 195(JUN.1):234-246. https://doi.org/10.1016/j.apenergy.2017.03.039

[7] Zhang Y , Wen J . The IoT electric business model: Using blockchain technology for the internet of things. Peer-to-Peer Networking and Applications, 2017, 10(4):983-994. https://doi.org/10.1007/s12083-016-0456-1

[8] Miraz M H , Ali M . Applications of Blockchain Technology beyond Cryptocurrency. Annals of Emerging Technologies in Computing, 2018, 2(1):1-6. https://doi.org/10.33166/AETiC.2018.01.001

[9] Wang J , Peng W U , Wang X , et al. The outlook of blockchain technology for construction engineering management. Frontiers of Engineering Management, 2017, 4(01):71-79. https://doi.org/10.15302/J-FEM-2017006

[10] Eyal, Ittay. Blockchain Technology: Transforming Libertarian Cryptocurrency Dreams to Finance and Banking Realities. Computer, 2017, 50(9):38-49. https://doi.org/10.1109/MC.2017.3571042

[11] Study on the application of fly ash to the replacement of full strength cement in paste filling . Shandong coal science and technology, 2017,000(011):173-174

[12] Chen Jie, Liu Yong, Shi Ying, et al. Study on gangue combination fly ash paste filling material . Materials science and technology, 2016,024(003):80-84

[13] Maybury J , Ho J C M . Shear thickening of cement powder paste – why and how to mitigate?. Transactions Hong Kong Institution of Engineers, 2017, 24(4):193-203. https://doi.org/10.1080/1023697X.2017.1375433

[14] Xie H P , Gao F , Ju Y , et al. Quantitative definition and investigation of deep mining. Mtan Xuebao/Journal of the China Coal Society, 2015, 40(1):1-10.

[15] Kumari S , Li X , Wu F , et al. Design of a provably secure biometrics-based multi-cloud-server authentication scheme. Future Generation Computer Systems, 2017, 68(mar.):320-330. https://doi.org/10.1016/j.future.2016.10.004

[16] Anglano C , Canonico M , Guazzone M . FC2Q: exploiting fuzzy control in server consolidation for cloud applications with SLA constraints. Concurrency & Computation Practice & Experience, 2015, 27(17):4491-4514. https://doi.org/10.1002/cpe.3410

[17] Rashmi, Chawla V , Sehgal R , et al. The RC7 Encryption Algorithm. International Journal of Security and its Applications, 2015, 9(5):55-60. https://doi.org/10.14257/ijsia.2015.9.5.05

[18] Zhang X , Wang X . Multiple-image encryption algorithm based on mixed image element and permutation. Computers & Electrical Engineering, 2017, 62(MAY):6-16. https://doi.org/10.1016/j.optlaseng.2016.12.005

[19] Singh S , Attri V K . Dual Layer Security of data using LSB Image Steganography Method and AES Encryption Algorithm. International Journal of Signal Processing Image Processing & Pattern Recognition, 2015, 8(5):259-266. https://doi.org/10.14257/ijsip.2015.8.5.27

[20] Liu L , Hao S , Lin J , et al. Image block encryption algorithm based on chaotic maps. IET Signal Processing, 2018, 12(1):22-30. https://doi.org/10.1049/iet-spr.2016.0584

[21] Ma Z , Jiang M , Gao H , et al. Blockchain for digital rights management. Future Generation Computer Systems, 2018, 89(DEC.):746-764. https://doi.org/10.1016/j.future.2018.07.029

[22] Xie F , Chen H . An Efficient and Robust Data Integrity Verification Algorithm Based on Context Sensitive. International Journal of Security and its Applications, 2016, 10(4):33-40. https://doi.org/10.14257/ijsia.2016.10.4.04

[23] Kumar M , Chand S , Katti C P . A Secure End-to-End Verifiable Internet-Voting System Using Identity-Based Blind Signature. IEEE Systems Journal, 2020, 14(2):2032-2041. https://doi.org/10.1109/JSYST.2019.2940474

[24] Wang X , Lin Y , Yao G . Data integrity verification scheme with designated verifiers for dynamic outsourced databases. Security & Communication Networks, 2015, 7(12):2293-2301. https://doi.org/10.1002/sec.938

[25] Lin C , Shen Z , Chen Q , et al. A data integrity verification scheme in mobile cloud computing. Journal of Network and Computer Applications, 2017, 77(jan.):146-151. https://doi.org/10.1016/j.jnca.2016.08.017

[26] Shan, P., Lai, X., & Liu, X. (2019) “Correlational Analytical Characterization of Energy Dissipation-Liberation and Acoustic Emission during Coal and Rock Fracture Inducing by Underground Coal Excavation”, Energies, 12(12), pp. 2382.https://doi.org/10.3390/en12122382.

[27] Shan, P., & Lai, X. (2019) "Mesoscopic structure PFC similar to 2D model of soil rock mixture based on digital image", Journal of Visual Communication and Image Representation, 58, pp. 407-415. https://doi.org/10.1016/j.jvcir.2018.12.015

[28] Tang, Y.; Feng, W.*; Chen, Z.*; Nong, Y.; Guan, S.; Sun, J. Fracture behavior of a sustainable material: Recycled concrete with waste crumb rubber subjected to elevated temperatures. Journal of Cleaner Production 2021, 318: 128553.https://doi.org/10.1016/j.jclepro.2021.128553

[29] Zhao, Y., Bai, C., Xu, C., & Foong L. K. (2021).Efficient metaheuristic-retrofitted techniques for concrete slump simulation. Smart Structures and Systems,27 (5), 745-759.