Zhou Gongbo

RBF neural network based prediction for target tracking in chain-type wireless sensor networks

A target tracking is an important embranchment of WSN, which can assure the position of a moving target real-time. This paper works on the prediction problem of target tracking of chain-type wireless sensor networks. We choose RBF neural network as the basis of the tracking prediction model. Based on analysis of chain-type tracking characters and RBF neural network based tracking prediction model, we build a target tracking prediction algorithm. The target tracking prediction problems of moving objects in coal tunnel are simulated and the simulation results show that a moving target can be traced real-time and accurately using the presented tracking prediction model and algorithm.

Design and Implementation of Control System for Platform Sinking Hoists

Aiming at the control problem of sinking hoists with low precision of the speed adjustment and low automation, a synchronous centralized control system of platform sinking hoists based on variable-frequency adjustable-speed technology is designed and implemented. Firstly, set PLC as the centralized controller, and the PLC adjusts the hoisting height of four sinking hoists using PID synchronous strategy to keep the platform horizontal in the range of allowable error. Secondly, develop the host computer configuration software to realize the real-time monitoring of the system’s running state. Finally, the validity and feasibility of the system is proved according to the field test.