Feng Yinhui Huang Zenghua Li Hao, . Design and application of internet plus experts decision making platform to fully-mechanized mining automation[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (7).
Citation:
Feng Yinhui Huang Zenghua Li Hao, . Design and application of internet plus experts decision making platform to fully-mechanized mining automation[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (7).
Feng Yinhui Huang Zenghua Li Hao, . Design and application of internet plus experts decision making platform to fully-mechanized mining automation[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (7).
Citation:
Feng Yinhui Huang Zenghua Li Hao, . Design and application of internet plus experts decision making platform to fully-mechanized mining automation[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (7).
in order to effectively uize the big data of the mine environment and equipment collected by the automation system of the rlly mechanized coal miningface and to dig the potential aw existed in the data, with the in-depth satucy on the data mining technogy.bigdata technology and experts decision making e chnog.the Spark was designed as the core.the inegration of the Sharks S.L.Spark Sreaming Graph XMLlit and other key techrology was appied to estabis h the expers de:ision making latitom of thefilly mechanized mining autonmation.Meanwile the technology of the CLIlPS experts decision making system was integrated a nethod integrated with of-ine data Mining and the onine data mining was providec.An E-R diagam of the system database was designed and the functions of the system pregamassembly and the appication program assembly were defned.Based on the data mining tchnogy.the beneficialdiscovery was provided to the design to buids the experis decision making system of the ful mechanized mining face automation.Finally with the site measured data fromn No.310205coal mining face in Xinyan Mine of Yangquan Coal ndustry Group.the perormance fests were conducted on the platrom.The resuts showed tht the platform with a big data processing and analysis capacity could provide important references to analyze the production status of the fully mechanized coal mining face and to improve the production technique.