Safety Evaluation Method of Tunnel Construction System in Rechargeable Wireless Sensor Networks

In the aspect of constructing the comprehensive assessment and early warning model of typical risk of tunnel construction, this article introduces a fuzzy mathematics theory to quantify the typical risk factors of tunnel construction. Based on the constant weight of the warning index determined by the analytic hierarchy process (AHP), the variable weight calculation is added to establish a set of fuzzy hierarchical comprehensive assessment and early warning model of typical tunnel construction risks with variable weight, which further improves the accuracy and reliability of risk early warning. The cluster-based rechargeable wireless sensor networks (RWSNs) on-demand charging method designed in this article sends charging requests by cluster, and the mobile charger (MC) considers the distance from the requesting node as the priority criterion. Through the simulation, it can be seen that the algorithm proposed in this article reduces the MC working energy consumption and improves the network performance. The dynamic risk index of construction process is obtained. The experimental results show that this method can track and analyze the dynamic risks in the construction process timely and accurately. By cooperating with the specific construction process, the probability of risk accidents is reduced and the safety of the project is ensured.