第 48 卷 第 7 期 煤炭科学技术 Vol.48 No.7
2020 年 7 月 Coal science and Technology Jul. 2020
1
引 文 格 式 ： 杜毅博, 赵国瑞, 巩师鑫. 智 能 化 煤 矿 大 数 据 平 台 架 构 及 数 据 处 理 关 键 技 术 研 究 [J/OL]. 煤 炭 科 学 技
术:1-8[2020-06-10].http://kns.cnki.net/kcms/detail/11.2402.TD.20200610.1400.028.html.
Du Yibo, ZHAO Guorui, Gong Shixin.Research on big data platform architecture and key technologies of data processing in smart coal
mine[J/OL]. Coal Science and Technology: 1-8[2020-06-10].http://kns.cnki.net/kcms/detail/11.2402.TD.20200610.1400.028.html.
智能化煤矿大数据平台架构及数据处理关键技术研究
杜毅博
1,2
，赵国瑞
1,2
，巩师鑫
1,2
(1. 中煤科工开采研究院有限公司，北京 100013；2. 煤炭科学研究总院 开采研究分院，北京 100013)
基金项目：国家自然科学基金青年资助项目（51804158）, 国家自然科学基金重点资助项目（51834006）
作者简介：杜毅博(1985—),男,汉族,河北邯郸人,副研究员, 博士。Tel：010-84264090，E-mail：duyibo@tdkcsj.com
摘 要：随着煤矿智能化技术深度推进，其数据量级及类型均呈爆炸式增长，利用大数据技术针对煤矿多源海量数据进行集成
分析与数据价值挖掘，实现动态诊断与辅助决策，成为煤矿智能化的关键。煤矿大数据平台向下实现多源异构感知数据的接入、
集成和融合，向上为各种煤矿智能化应用提供数据服务，打通感知数据和数据智能应用之间的屏障，是煤矿智能化运行的基础。
本文针对当前煤矿大数据平台建设初级阶段缺乏成熟建设体系的现状，在分析煤矿大数据数据来源、数据特征以及处理要求的
基础上，提出由数据接入层、数据存储层、数据资产管理层、数据服务层构成的煤矿大数据集成分析平台技术架构；系统研究
数据接入与存储系统，主数据管理系统及数据服务系统等大数据平台关键系统，从而建立大数据平台基础框架，为大数据融合
分析处理提供基础数据与资源能力；针对煤矿大数据处理要求，研究数据获取与数据标准管理，提出基于位号的煤矿数据编码
标准，实现煤矿数据标准化管理，并在此基础上研究数据集成与数据治理技术与数据可视化技术，实现数据全生命周期管理；
研究提出基于循环神经网络的数据预测及基于知识工程的态势感知与推理等基于人工智能的处理算法实现数据纵向和横向的智
能化分析。以陕煤张家峁煤矿及延长石油巴拉素煤矿为代表进行大数据平台建设与工程实践，为建设智能化煤矿大数据平台，
构建煤矿数据生态提供技术参考。
关键词：煤矿智能化；智能矿山；大数据；数据治理；主数据管理；数据处理
中图分类号：TD713 文献标识码：A
Study on intelligent coal mine big data platform architecture and data
processing key technologies
DU Yibo
1,2
, ZHAO Guorui
1,2
, GONG Shixin
1,2
(1. Coal Mining Research Institute
，
China Coal Technology Engineering Group, Beijing 100013, China;2. Mining Design Institute，China
Coal Research Institute，Beijing 100013;)
Abstract: With the deep advancement of coal mine intelligent technology, the data volume and types are exploding. Using big data
technology for coal mine multi-source massive data integration analysis and data value mining to achieve dynamic diagnosis and auxiliary
decision-making become the key of smart coal mine. Coal mine big data platform on one hand realized the function of access, integration
and fusion for multi-source heterogeneous sensing data, on the other hand provided the data service for all kinds of coal mine intelligent
APP, which opened the barrier between perceptual data and data intelligent application. The coal mine big data platform has become the
foundation of smart coal mine. In view of the current lack of a mature construction system in the initial stage of coal mine big data
platform construction, on the basis of analyzing the data sources, data characteristics and processing requirements of big data in coal
mines, this paper put forward the technical framework of coal mine big data integration analysis platform which consists of data service
system, data access and storage system, master data management system and data service system and other key systems of big data
platform, so as to establish a big data platform basic framework to provide basic data and resource capability for big data fusion analysis
and processing. Furthermore, according to the requirement of coal mine big data processing, this paper studied data acquisition and data
standard management, put forward coal mine data coding standards based on bit numbers, which realized the coal mine data
standardization management, and then the data integration and data management technology and the data visualization technology were
studied to achieve data full life cycle management. The artificial intelligence-based processing algorithm such as data prediction based on
cyclic neural network and situation perception and reasoning based on knowledge engineering were presented. The construction and
engineering practice of big data platform were carried out with in Zhangjiamao Coal Mine for Shaanxi Coal North Mining and Yanchang
中国煤炭行业知识服务平台 www.chinacaj.net
评论0