基于双模式无线通信的矿用单体液压支柱数字身份管理系统

Digital identity management system for mine hydraulic props based on dual-mode wireless communication

  • 摘要: 传统矿用单体液压支柱的管理维护模式效率低、追溯困难、安全性低,但在煤矿井下环境中,基于无线射频识别(RFID)的矿用单体液压支柱管理系统易受金属干扰而影响识别效果,且数据通信高度依赖单一网络,难以保障通信的稳定性与实时性。针对上述问题,设计了一种基于双模式无线通信的RFID矿用单体液压支柱数字身份管理系统,并采用PCB超高频抗金属标签降低金属环境对RFID的干扰。通过RFID手持阅读器APP一键上传功能,将液压支柱状态数据无线发送至服务器端的管理软件,实现对液压支柱全生命周期的监控和管理。为适应井下复杂的无线环境,提出了双模式无线通信方式,通过公共WiFi和AP热点的智能切换,有效解决了井下网络覆盖不足的难题,保证了数据传输的可靠性。引入了基于信息熵理论的动态数据价值评估模型,实现了基于数据价值的动态分级传输策略。测试结果表明:PCB超高频抗金属标签在无障碍条件下的有效识别距离为2.2 m,识别稳定性达98%;在WiFi模式下,系统有效数据传输距离为5.2 m,且传输成功率在90%以上。

     

    Abstract: The traditional management and maintenance mode of single hydraulic supports used in mining is inefficient, difficult to trace, and has low safety. However, in the underground coal mine environment, RFID-based management systems for single hydraulic supports are easily affected by metal interference, which degrades identification performance, and their data communication heavily relies on a single network, making it difficult to ensure stable and real-time communication. To address these issues, a digital identity management system for mining single hydraulic supports based on dual-mode wireless communication and RFID was designed, using PCB ultra-high-frequency anti-metal tags to reduce metal environment interference on RFID. By scanning the RFID tags on hydraulic supports with a handheld reader, the basic information and status (normal, fault, scrap, etc.) of the hydraulic supports could be read. The handheld terminal app provided a one-click upload function to wirelessly send the hydraulic support status data to server-side management software, achieving full lifecycle monitoring and management of the hydraulic supports. To adapt to the complex underground wireless environment, a dual-mode wireless communication method was proposed, intelligently switching between public WiFi and AP hotspots, effectively solving the problem of insufficient network coverage underground and ensuring reliable data transmission. A dynamic data value evaluation model based on information entropy theory was introduced to implement a data-value-based dynamic hierarchical transmission strategy. Test results showed that the PCB ultra-high-frequency anti-metal tag had an effective identification distance of 2.2 meters under unobstructed conditions, with identification stability reaching 98%. Under WiFi mode, the system’s effective data transmission distance was 5.2 meters, with a transmission success rate above 90%.

     

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