【摘要】：結(jié)合煤礦的現(xiàn)場實(shí)際情況和大數(shù)據(jù)中流計算框架,提出了基于Spark streaming的煤礦實(shí)時數(shù)據(jù)應(yīng)用的流計算框架。該計算框架可以高效、快速處理來自于監(jiān)測監(jiān)控系統(tǒng)的不同系統(tǒng)、不同接口、不同傳輸速率的要求,快速地采集和處理監(jiān)測監(jiān)控系統(tǒng)的實(shí)時數(shù)據(jù)流,融合處理各業(yè)務(wù)系統(tǒng)的實(shí)時數(shù)據(jù)。該框架的建立可以使得基于采、掘、機(jī)、運(yùn)、通等內(nèi)容的礦井整體建立運(yùn)營管控模型,在礦井生產(chǎn)全過程實(shí)現(xiàn)信息可采、過程可視、運(yùn)行可控的能力,確保生產(chǎn)過程信息的完整性、可靠性、真實(shí)性。
[Abstract]:Combined with the actual situation of coal mine and big data mid-stream calculation framework, a flow calculation framework for real-time data application in coal mine based on Spark streaming is proposed. This framework can quickly process the real-time data flow from different systems, interfaces and transmission rates of monitoring and control system, and can quickly collect and process the real-time data flow of monitoring and monitoring system. Fusion and processing of the real-time data of each business system. The establishment of this framework can make the whole mine operation control model based on mining, digging, machine, transportation, communication and other contents, and realize the ability of information mining, process visualization and controllable operation in the whole process of mine production. Ensure the integrity, reliability and authenticity of production process information.
【作者單位】： 西安科技大學(xué);陜西正通煤業(yè)有限責(zé)任公司;西安郵電大學(xué);
【基金】：陜西省科技計劃項(xiàng)目(2015KTCXSF-10-13)
【分類號】：TD76
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本文編號：2308642