Implementation of GPRS Long-Distance Monitoring Platform Based on Grey Prediction Model

Abstract

This research is to construct a whole predictable wireless monitoring system with GPRS. This system is composed of two parts, one is subsystem based on single CMOS chip, collect data from the Thermal Couple Sensor (TCS). Based on Deng's grey model (GM) theory, transplant GM (1, 1) prediction algorithm inside the single-chip. Temperature of the next slice can be predicted precisely. The other is controlling system, which is the kernel element of GM predication (GMP) system. Monitoring function collects the long-distance data and control the subsystem through GPRS network. The realized system cannot only monitor real-time data, but also can send key part through GRPS channels when emergence happens. The exception can be exposed as soon as it appears, so it is easy to be repaired within a very short time.