DYNAMIC SIMULATION OF WIRELESS STRUCTURAL MONITORING SYSTEM USING PETRI NETS

Abstract

To certify the safety of existing buildings, more and more structural monitoring systems are installed, especially in the application of wireless sensors. However, the main weakness of wireless sensors is their short operative time due to limited battery life. Besides, the factors include the detective locations of wireless sensors and the effects by the various structural materials. For these reasons, this study proposes a dynamic information framework of the wireless structural monitoring system that applied the Petri Nets and Fuzzy rule-based reasoning theorem. This dynamic simulated framework, called 4D-Fuzzy Petri Nets, considers the three-dimensional structural space as well as the duration of the wireless sensor. 4D-Petri Nets adapted the spaces to be the positions of wireless sensors in the structure, and the possible token carried the information from the wireless sensor. Moreover, different transitions were given by the different time conditions and weights. For the sake of sifting the wireless signals, the Fuzzy Petri Nets Model with database deals with the wrong situations. Under the 4D-Fuzzy Petri Nets, architects can quickly design the wireless structural monitoring system for different structures and extend the life of batteries at least two to five times.