智能礦山技術(shù)的背景和發(fā)展
智能礦山技術(shù)是目前礦業(yè)領(lǐng)域的前沿技術(shù)之一，該技術(shù)通過應(yīng)用先進(jìn)的傳感器、數(shù)據(jù)處理和分析技術(shù)，實(shí)現(xiàn)對(duì)礦山生產(chǎn)過程的監(jiān)控和控制，提高礦業(yè)生產(chǎn)效率和安全性。下面是一些關(guān)于智能礦山的發(fā)展和應(yīng)用的相關(guān)論文參考文獻(xiàn)：
1. Wang, L., Wang, D., & Li, Z. (2017). Research on intelligent mining technology and development direction of underground metal mines in China. International Journal of Mining Science and Technology, 27(2), 285-290.
2. Wang, F., Zheng, L., & Lu, C. (2018). Intelligent mining technology for an underground metal mine based on unmanned equipment. Transactions of Nonferrous Metals Society of China, 28(11), 2389-2397.
3. Zhang, Z., Li, N., & Song, K. (2020). Key technologies and applications of intelligent mining in underground metal mines. Journal of China University of Mining and Technology, 49(4), 645-655.
智能礦山的數(shù)據(jù)處理和分析
智能礦山依賴于數(shù)據(jù)采集和分析，以實(shí)時(shí)監(jiān)測(cè)和控制礦山運(yùn)營(yíng)情況。以下是一些關(guān)于智能礦山數(shù)據(jù)處理和分析的相關(guān)論文參考文獻(xiàn)：
1. Shi, X., Zhang, J., & Zhang, J. (2019). Forecasting energy consumption of haulage trucks in open-pit mines using artificial neural networks. Minerals, 9(11), 705.
2. Liu, X., & Liu, P. (2018). Prediction of rock mass displacement based on combination of adaptive neural network and genetic algorithm in underground coal mine. Neural Computing and Applications, 29(6), 401-413.
3. Wang, J., Song, X., & Li, S. (2018). A novel approach to comprehensive evaluation of intelligent mining technology in underground coal mines. Journal of Ambient Intelligence and Humanized Computing, 9(4), 1165-1174.
智能礦山的自動(dòng)化設(shè)備和系統(tǒng)
智能礦山的自動(dòng)化設(shè)備和系統(tǒng)是實(shí)現(xiàn)智能礦山技術(shù)的關(guān)鍵。以下是一些關(guān)于智能礦山自動(dòng)化設(shè)備和系統(tǒng)的相關(guān)論文參考文獻(xiàn)：
1. Li, X., Wang, P., & Yu, C. (2019). Research on key technologies of intelligent mining equipment management system. Future Generation Computer Systems, 101, 743-754.
2. Zhai, G., Xu, P., & Wang, C. (2018). Dynamic scheduling method for intelligent mining based on genetic algorithm. Discrete Dynamics in Nature and Society, 2018.
3. Guo, K., Guo, C., & Li, X. (2020). Optimization of mining fleet assignment in a large-scale open-pit mine under the Internet of Things environment. IEEE Access, 8, 95757-95768.
以上是關(guān)于智能礦山論文參考文獻(xiàn)的一些內(nèi)容，涵蓋了智能礦山技術(shù)的背景和發(fā)展、數(shù)據(jù)處理和分析以及自動(dòng)化設(shè)備和系統(tǒng)等方面的文獻(xiàn)資源。這些論文對(duì)于了解智能礦山的最新發(fā)展和應(yīng)用具有重要參考價(jià)值。