Research, practice and application of key technologies of intelligent coal mine big data governance
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摘要: 针对智能化煤矿建设过程中存在的“数据孤岛”现象严重、数据质量低、数据治理体系缺乏、数据赋能不够充分等问题，分析了智能化煤矿大数据治理的基本需求，研究了智能化煤矿的数据采集和存储、数据清洗与标准化处理、数据资产规划、数据共享交换等关键技术。结合小保当煤矿数据治理现场实践情况，提出了基于工业互联网体系的智能化煤矿大数据治理总体技术架构，该架构功能与智能化煤矿大数据治理的基本需求相对应，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开发提供数据服务，中间沉淀煤矿各类业务指标、模型算法，形成煤矿重要的数据资产。基于不同的数据接入协议，通过数据接入存储服务统一接入煤矿各系统的数据；通过数据清洗与标准化服务实现数据加工，提升数据质量；采用分层治理架构将数据转换为体系化的分层数据资产；通过数据共享服务将数据资产以标准接口的方式提供给其他系统使用，实现数据价值落地。从煤矿单系统应用、矿井级应用和公司级系统应用全方面展示智能化煤矿数据治理成果在不同业务场景下的实践应用情况，智能化煤矿大数据经过统一的数据治理之后，能够实现数据的融合应用，打破数据孤岛，提升数据质量，形成煤矿独有的数据资产，为煤矿生产运营提供重要价值。Abstract: In the process of intelligent coal mine construction, there are problems such as the "data island" phenomenon, low data quality, lack of data governance system, and insufficient data empowerment. In order to solve the above problems, this paper analyzes the basic requirements of intelligent coal mine big data governance. This paper studies the key technologies of intelligent coal mines such as data acquisition and storage, data cleaning and standardization, data asset planning, data sharing and exchange. Combined with the field practice of data governance in Xiaobaodang Coal Mine, the overall technical architecture of intelligent coal mine big data governance based on the Industrial Internet system is proposed. The architecture functions correspond to the basic requirements of intelligent coal mine big data governance. It realizes the access, integration and fusion of multi-source heterogeneous perception data downward, provides data services for the development of various coal mine intelligent applications upward, and sediment various business indicators and model algorithms of coal mines in the middle, forming important data assets for coal mines. Unified access to to data form various coal mine systems is achieved through data access storage services based on different data access protocols. The necessary protocol conversion and data preprocessing are realized during the access process. The data processing is achieved through data cleaning and standardization services to improve data quality. The data is transformed into systematic data assets by adopting a hierarchical governance architecture. Finally, data assets are provided to other systems through standard interfaces through data sharing services, achieving the implementation of data value. The practical application of intelligent coal mine data governance achievements in different business scenarios is demonstrated from the perspective of coal mine single system application, mine-level application and company-level system application. After unified data governance, intelligent coal mine big data can achieve data fusion applications. It can break data islands, improve data quality, form coal mine unique data assets, and provide important value for coal mine production and operation.
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图 1 智能化煤矿大数据治理总体技术架构
Figure 1. Overall technical architecture of intelligent coal mine big data governance
表 1 数据缺失
Table 1. Data missing
时间 标签 值/A 2023−03−11T00:00:00 主泵.电流 13.9 2023−03−11T00:00:03 主泵.电流 14.5 2023−03−11T00:00:10 主泵.电流 14.2 2023−03−11T00:02:00 主泵.电流 14.1 2023−03−11 T00:02:10 主泵.电流 13.8 
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表 2 数据异常
Table 2. Data exception
时间 标签 值 2023−03−11T00:00:00 主泵.状态 1 2023−03−11T03:39:19 主泵.状态 0 2023−03−11T04:00:00 主泵.状态 1 2023−03−11T07:32:49 主泵.状态 0 2023−03−11T08:02:10 主泵.状态 3
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表 3 小保当煤矿数据表命名
Table 3. Naming of data table of Xiaobaodang Coal Mine
公司名称 系统名称 数据表名 小保当 安全监控 ods_xbd01_safety_monitor_hi 小保当 人力资源 ods_xbd02_human_resources
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表 4 数据资产规范结构与编码
Table 4. Data asset specification structure and coding
序号 中文名称 英文名称 说明 字段类型 数据
格式是否空值 备注 1 状态采样时间 datatime 测点最近变化的时间点 字符 d23 否 在快照表中作为主键 2 设备名称 device_name 工作面设备名称 字符 c..20 否 3 设备状态 device_status 设备状态 数值 b 否 0−运行；1−停止 4 工作面编号 workface_id 测点区域编码 字符 an..20 否 5 矿井编码 mine_id 矿井编码 字符 an6 否 6 矿井名称 mine_name 矿井名称 字符 c7 否 7 写入时间 create_time 测点请求时间 字符 d23 否
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