Research of PWR CRDM fault information fusion method based on IoT

Abstract:

Aiming at the problems of the faults of NPP’s control rod drive mechanism, a fault information fusion method is proposed by using rough set neural network in making decisions based on the Internet of Things. The perception layer, network layer and supporting layer were constructed by involning the MEMS sensor, ZigBee module and Multi-Agent module, and also 6 kinds of input features were selected to represent scope of control rods displacement, reducing attributes as neural network Agent prior input module, module contracted rules as judgment criterion of hidden layers, concise rules of rough set Agent as judgment criteria of hidden layer, respectively. Simulation results verified the feasibility of IoT CRDM rod position monitoring system and the accuracy of rough set neural network fusion algorithm.