论文标题
盾牌机器的动态互动和合作网络
Dynamic Interactional And Cooperative Network For Shield Machine
论文作者
论文摘要
屏蔽机（SM）是一种复杂的机械设备，用于隧道。但是，监控和决定主要是由传统构造期间的人造经验完成的，这带来了一些局限性，例如隐藏的机械故障，人类操作员错误和传感器异常。为了应对这些挑战，许多学者研究了SM智能方法。这些方法中的大多数仅考虑SM，但不考虑SM操作环境。因此，本文讨论了SM，地质信息和控制终端之间的关系。然后，根据关系，为控制终端建立了模型，包括SM速率预测和SM异常检测。实验结果表明，与基线模型相比，本文中提出的模型表现更好。在拟议的模型中，速率预测的R2和MSE分别可以达到92.2 \％和0.0064。异常检测的异常检测率高达98.2 \％。
The shield machine (SM) is a complex mechanical device used for tunneling. However, the monitoring and deciding were mainly done by artificial experience during traditional construction, which brought some limitations, such as hidden mechanical failures, human operator error, and sensor anomalies. To deal with these challenges, many scholars have studied SM intelligent methods. Most of these methods only take SM into account but do not consider the SM operating environment. So, this paper discussed the relationship among SM, geological information, and control terminals. Then, according to the relationship, models were established for the control terminal, including SM rate prediction and SM anomaly detection. The experimental results show that compared with baseline models, the proposed models in this paper perform better. In the proposed model, the R2 and MSE of rate prediction can reach 92.2\%, and 0.0064 respectively. The abnormal detection rate of anomaly detection is up to 98.2\%.
