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Improved coal mine dust monitoring system based on fuzzy information fusion

机译:基于模糊信息融合的改进煤矿防尘监测系统

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In order to increase dust measurement precision and real-time capacity, an improved dust monitoring system was presented. One master with three extensions was adopted at measuring point and the data fusion was adopted. Furthermore, to solve the problem of coal-dust explosion limit reducing once the gas gathering occur, the explosion parameters were detected by multi-sensor and the information of dust, gas concentration and temperature from sensors were carried on fuzzy processing to be fused based on fuzzy information and fusion theory. The system can finish fusion computing and decision-making of various system parameters to realize the early prediction for mine explosion successfully. The experimental results indicate that the discerning accuracy and reliability of mine explosion detection system is greatly increased based on fuzzy information and data fusion. It is concluded that the system is of great significance to coal mine production safety.
机译:为了提高粉尘测量精度和实时容量,提出了一种改进的粉尘监测系统。在测量点采用具有三个延伸的一个主机,采用数据融合。此外,为了解决煤尘爆炸极限的问题,减少了气体收集,通过多传感器检测爆炸参数,灰尘的信息,传感器的灰尘,气体浓度和温度的信息进行了模糊处理,以便融合模糊信息与融合理论。该系统可以完成各种系统参数的融合计算和决策,以成功实现矿井爆炸的早期预测。实验结果表明,基于模糊信息和数据融合,挖掘爆炸检测系统的辨别精度和可靠性大大增加。得出结论,该系统对煤矿生产安全性具有重要意义。

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