Research and application of unified cross-system data services for coal mines based on industrial internet platforms
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摘要:
目前工业互联网平台在煤矿应用中存在无法充分发挥数据的价值，数据在不同系统间的流通受限制，在处理跨系统数据交互时，不同子系统之间缺乏统一的权限管理机制，增加了数据被篡改和非授权访问的风险等问题。基于工业互联网平台提出了一种煤矿跨系统统一数据服务体系。通过涵盖监测监控级、生产管理级与运营管理级5层跨系统数据模型（主题域分组−主题域−业务对象−逻辑实体−属性），构建“接口层−服务层−存储层”协同架构，集成协议动态适配引擎、容器化微服务部署及低代码接口配置工具，设计动态分级鉴权机制和全链路行为监控体系，实现多源异构数据的标准化接入、安全流转与精准交互。测试结果表明，与传统的分布式接口模式相比，基于工业互联网平台的煤矿跨系统统一数据服务体系的数据平均响应时间从270 ms优化至148 ms，数据加工准确率提升至99.57%。实际应用结果表明，在持续12 000 h的运行中，服务可用性达到99.6%，数据一致性误差低于0.1%。
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关键词:
- 工业互联网平台 /
- 煤矿跨系统统一数据服务 /
- 多源异构数据 /
- 统一数据交互规则 /
- 容器化微服务
Abstract:Currently, the application of industrial internet platforms in coal mines faces issues such as the inability to fully utilize the value of data, limited data flow between different systems, and a lack of a unified permission management mechanism for cross-system data interactions. These issues increase the risks of data tampering and unauthorized access. A unified cross-system data service system for coal mines was proposed based on an industrial internet platform. The system comprised a five-layer cross-system data model (thematic domain grouping-thematic domain-business object-logical entity-attribute), which covered the monitoring and control level, production management level, and operation management level. It established an "Interface Layer-Service Layer-Storage Layer" collaborative architecture. The system integrated a dynamic protocol adaptation engine, containerized microservice deployment, and low-code interface configuration tools. Additionally, it employed a dynamic hierarchical authentication mechanism and an end-to-end behavior monitoring system. These features together enabled standardized access, secure transfer, and precise interaction of multi-source heterogeneous data. Test results showed that, compared to the traditional distributed interface model, the proposed system optimized average data response time from 270 ms to 148 ms and improved data processing accuracy to 99.57%. Practical application results indicated that over 12,000 hours of continuous operation, the service availability reached 99.6%, and data consistency errors were below 0.1%.
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图 2 跨系统统一数据服务整体架构
Figure 2. Overall architecture of unified across-system data services
表 1 煤矿生产子系统分类
Table 1 Classification of coal mine production subsystem
系统层级 数据来源 数据通信特征 数据结构 数据存储方式 监测监控级 以设备、环境监测传感器和音视频采集装置为主 Modbus协议、串口协议、OPC UA协议等 主要为半结构化数据、非结构化文本、音视频等 JSON，XML等半结构化数据，主要采用非关系型数据库 生产过程管理级 以MES、安全管理等生产过程管控系统为主 消息中间件、流媒体、MQTT等 包括结构化数据、半结构化数据、非结构化数据 关系型/非关系型数据库并存 运营管理级 以财务、人力、物资、后勤等
管理信息系统为主HTTP协议、FTP协议、SMTP协议等 以结构化数据表为主，辅以
少量文本、图片、语音、视频关系型数据库为主 
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表 2 服务器的配置及功能
Table 2 Configuration and functions of servers
序号 用途 操作系统 CPU/核 内存/G 硬盘 数量/个 1 数据存储服务 CentOS 6.8 64 128 16T HDD 3 2 数据接入服务 CentOS 6.8 32 64 1T SSD 1 3 数据输出服务 CentOS 6.8 32 64 1T SSD 1 4 数据缓存服务 CentOS 6.8 32 64 1T SSD 1 5 数据鉴权服务 CentOS 6.8 32 64 1T SSD 1
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表 3 测试场景中的系统类型和数据特性
Table 3 System types and data characteristics in test scenario
序号 子系统名称 数据频率 数据类型 数据尺寸/KiB 平均速度/
（B·s−1）1 掘进 ms 时序 130 3 787 2 综采 ms 时序 110 3 204 3 主煤流 ms 时序 50 1 456 4 辅助运输 ms 时序 40 1 165 5 人员定位 s 时序 70 2 039 6 环境监测 s 时序 80 2 330 7 工业视频 实时 流 84100 250 838 021 8 通信联络 实时 流 1500 4 473 924 9 双预控 min 结构化/非结构化 930 27 088 10 生产执行 min 结构化 384 109 11 财务管理 min 结构化 257 73 12 物资管理 min 结构化 367 104
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