Research On Structure Safety Monitor Method With Wireless Sensor Networks

The primary advantages of wireless sensor networks(WSNs) are reduction of system wiring, high monitoring precision, convenience for remote supervisory and controlling, easiness of system diagnosis and maintenance, and good fault-tolerant ability, etc. There is wide application prospect of wireless sensor networks in such fields as military affairs, environment protection, project inspection, medical treatment and so on. The basic task of wireless sensor networks is to obtain the valuable information of the physical world accurately. Wireless sensor networks can realize high speed, low time-delay message exchange among sensor nodes depending on the time and position information. So it can ensure the high accuracy and real-time characteristic of the whole measuring and controlling system. Wireless sensor networks face many-sided restrictions such as calculating, storing and network bandwidth. It is very important to investigate the system architecture of the wireless sensor networks, node localization, data fusion and network data management, etc.For real-time monitoring safety status of architecture, avoiding fire disaster and safety accident caused by large structure & equipment damage, instructing maintenance of large structure, creating a system of WSNs is one of the current important studies. This paper researches on structure safety monitor method with wireless sensor networks.1. Researched the monitoring technology of structural health which based on wireless sensor networks, and designed a wireless sensor network monitoring systems, then the composition and topology of wireless sensor networks was proposed, use the improved ant colony algorithm to develop network energy-saving strategy which parameters are the energy of wireless sensor nodes. The simulation result proved that the algorithm is effective, reliable and energy-saving effect.2. A wireless network system which is for fire and poisonous gas detection based on multi-agent is designed and the system model is established as well. The system employs the idea of agent to improve the acquisition sensitivity, accuracy, and real-time of collecting fire data and poisonous gas data. Using the wireless network way for data transmission between the agents, that increases data transmission speed. Using D-S data fusion algorithm to process fire environmental data, this can effectively reduce the missed/false rate of fires.3. For the building indoor environment, the channel multipath fading and noise uncertainty is an important problem. A spectrum sensing algorithms based on support vector machines SVM is created.4. According to characteristics and requirements of Cyber-Physical System (CPS), combined with genetic algorithm and ant colony algorithm characteristics, a routing algorithm is created for the network routing problem of CPS. The simulation results show that the result is valid.