Junwen Zhang
ABSTRACT
With the rapid development of big data technology and the gradual improvement of security management theory, data mining technology has attracted the attention of many scholars and enterprises in the field of security management decision-making. Faced with the increasing safety needs of employees and the high attention of public opinions, coal mining enterprises have to improve the safety management level to adapt to the rapid development of society. Based on the data mining theories and methods, such as from the background of Internet technology, to the current Chinese coal mine safety management efficiency assessment and management of coal mine safety, efficiency and so on several aspects to solve the coal mine enterprises in the implementation of the efficiency of the existing problems in the process of safety management, to improve coal mine safety management level of the targeted development path and related strategies. Effectively reduce the coal mine safety monitoring system multiple independent systems integration complexity and difficulty, has realized the centralized maintenance, centralized management, data sharing and convenient construction goal, improve the system operation is stable, reliable and safe, for management personnel at all levels according to the working condition of scientific and effective scheduling management information in real time and decision-making to provide technical support, and big data platform for the construction of the coal mine for the future to lay the foundation.
- Xiaoxu G. Design and key technology of coal mine safety monitoring system based on analytic hierarchy process (AHP). acta technica csav, 2017, 62(1):179-189.Google Scholar
- Wang, Shangguang, Chen, Lightweight Mashup Middleware for Coal Mine Safety Monitoring and Control Automation. IEEE transactions on automation science and engineering: a publication of the IEEE Robotics and Automation Society, 2017, 14(2):1245-1255.Google Scholar
- Pei X. Study on optimization design of coal mine ventilation environment monitoring and control system based on PLC memory. Revista de la Facultad de Ingenieria, 2017, 32(16):123-129.Google Scholar
- Han S, Chen H, Long R, Evaluation of the derivative environment in coal mine safety production systems: Case study in China. Journal of Cleaner Production, 2017, 143(FEB.1):377-387.Google ScholarCross Ref
- Joseph S R, Hlomani H, Letsholo K. Data Mining Algorithms: An Overview. Neuroscience, 2016, 12(3):719-43.Google Scholar
- Angeli C, Howard S, Ma J, Data mining in educational technology classroom research: Can it make a contribution?. Computers & Education, 2017, 113(oct.):226-242.Google ScholarCross Ref
- Helma C, Cramer T, Kramer S, Data mining and machine learning techniques for the identification of mutagenicity inducing substructures and structure activity relationships of noncongeneric compounds. J Chem Inf Comput, 2018, 35(4):1402-1411.Google ScholarCross Ref
- Chinchuluun A, Xanthopoulos P, Tomaino V, Data Mining Techniques in Agricultural and Environmental Sciences. International Journal of Agricultural & Environmental Information Systems, 2017, 1(1):8-12.Google Scholar
- Kasperczuk A, Agnieszka Dardzińska. Comparative Evaluation of the Different Data Mining Techniques Used for the Medical Database. Acta Mechanica et Automatica, 2016, 10(3):233-238.Google ScholarCross Ref
- Guo Z, Zhang Z M, Xing E P, Multimodal Data Mining in a Multimedia Database Based on Structured Max Margin Learning. Acm Transactions on Knowledge Discovery from Data, 2016, 10(3):1-30.Google Scholar
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