A Predictive business Process Monitoring （PPM） method based on concept drift was proposed to solve the problems of model accuracy decreasing over time and poor real-time performance in existing Business Process Monitoring （BPM） methods. Firstly， the event log data was preprocessed and encoded. Secondly， a Bidirectional Long Short-Term Memory （Bi-LSTM） network model was used to capture enough sequence information from both forward and backward directions in order to build the business process model. At the same time， the attention mechanism was utilized to fully consider the contributions of different events to the model’s prediction results， and assign different weights to event logs to reduce the influence of noise on the prediction results. Finally， the executing instances were input into the constructed model to obtain the predicted execution results， and the results were used as historical data to fine-tune the model. By testing on 8 publicly available and real datasets， the results show that the proposed method has an average prediction accuracy improvement of 5.4%-23.8% compared to existing BPM methods such as Support Vector Machine （SVM）， Logistic Regression （LR）， and Random Forest （RF）， and the proposed method also outperforms existing research methods in terms of earliness and timeliness.

Using the wireless monitoring technology in tunnel construction can reduce the network cabling and increase the system flexibility. But the complexity and variability of the tunnel construction environment and the instability of the sensor nodes' software and hardware often lead to the transient faults, even cause security accidents. Against the transient faults, in order to ensure the system functions, a multi-level transient fault recovery and control strategy was proposed, which dealt with the transient faults in four layers: the spot data monitoring layer, the data transport layer, the security protection layer and the emergency response layer. The simulation results indicate that the proposed strategy can improve the accuracy of hazard detection and the execution efficiency of commands execution, beneficial to ensure the safety of constructors.

Based on the tree model of access routers of nested mobile network, a solution to crack the stalemate situation of mobile home Agent was proposed. In comparison with its counterparts, the proposed scheme could decrease network handover delay and save more overhead in traffic from and to mobile network with deeper nesting while guaranteeing the session continuity between the mobile network nodes and any correspondent from the Internet and among nodes from floating nested mobile networks as well.