EMBEDDED REAL-TIME DAMAGE DETECTION AND IDENTIFICATION ALGORITHMS IN WIRELESS HEALTH
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21-02-2011, 09:28 AM
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EMBEDDED REAL-TIME DAMAGE DETECTION AND IDENTIFICATION ALGORITHMS IN WIRELESS HEALTH MONITORING SYSTEM FOR SMART STRUCTURES
The main aim of this project and implimentation is to identify and monitor the damage detection of structures by using wireless sensor network. This system is based on a structure that can acquire the sensors such as accelerometer, pressure and displacement information, and transmit that processed information to the control section.
The purpose of the project and implimentation is to know the structural information of a structure for the early identification and detection of damage by using wireless network.
In this project and implimentation a wireless sensing unit is designed for application in structural health monitoring systems. This system is based on a structure that can acquire the sensors such as accelerometer, pressure and displacement information, and transmit processed information to the control section. Information about structural parameters of structure can be sent to a micro controller allowing knowledge of key-information of the structure.
In the transmitter section there are sensors which will send the information regarding the parameters of the structure. These values are realized with the help of microcontroller. This data can be sent to the control section by using wireless sensor network.
In the control section the sensor network will receive the data and send to the controller and from the micro controller that information is sent to the pc where the values are analyzed by using matlab software. The values of different parameters are displayed by using graphical representation. This type of analyzing these parameters in the graphical representation is called auto feed back model.
1. Embedded C
2. Keil IDE
4. MATLAB IDE
1. Micro controller
2. Power supply
3. Wireless Module (Tx & Rx)
5. MAX 232
8. Pressure sensor
9. Displacement sensor
Hence, by implementing this project and implimentation we can identify and monitor the different parameters of structural damages.