智能矿山大数据共享管理规范

Haitao Wang, Lina Tan, Yang Zhang, Qiwen Gong, Shan Zhang, Yanan Ren, Tao He
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引用次数: 1

摘要

随着煤炭行业信息化进程的快速推进,基于物联网的智能矿山应用和智能处理技术如雨后春笋般涌现。煤矿自动化系统各种数据的共享与聚合是实现智能矿山应用的核心基础。数据共享中完整性和实时性问题的解决决定了上层智能应用的可用性。本文提出了一套智能矿山规范。它从数据采集、数据传输和数据存储三个方面规范煤矿数据共享行为。数据源规范指定用于数据收集和传输的协议。在数据质量规范中描述了评估指标和治理方法。它根据各个业务系统的特点,制定数据可靠性共享标准。数据存储规范模型中定义的标签实现了数据标引的高效管理,可供煤炭行业的专业和非专业用户使用。以某煤矿的实测数据为基础,构建了实验系统。该系统可以按照规范收集、管理和存储来自各种自动化系统的数据。
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A Management Specification for Big Data Sharing in Smart Mine
With the rapid advancement of the informatization process of the coal industry, applications based on the Internet of Things and intelligent processing technologies for smart mines have sprung up. The sharing and aggregation of various colliery automation system data is the core foundation for the realization of intelligent mine applications. The resolution of integrity and real-time issues in data sharing determines the availability of upper-level intelligent applications. This paper proposes a set of smart mine specifications. It regulates coal mine data sharing behavior from three perspectives: data collection, data transmission, and data storage. The data source specification specifies the protocol for data collection and transmission. The evaluation indicators and governance methods are described in the data quality specification. It sets data reliability sharing standards based on the characteristics of each business system. The labels defined in the data storage specification model realize the efficient management of data indexing which can be used by professional and non-professional users in the coal industry. We constructed an experimental system based on real measured data from a certain colliery. The system can collect, manage and store the data from various automation systems following the specifications.
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