SYSTEM INTEGRATION

SYSTEM INTEGRATION

Technology essentially based on radio-frequency identification (RFID).The RF Receiver and power harvester receives RF energy emitted from mobile phone towers and television transmission stations and convert it to electrical energy using RFID tags. Since this power is very feeble it is fed to a power management circuitry which performs voltage rectification and amplification and this electrical energy is stored in a storage capacitor.
The amount of energy that can be scavenged from the environment from machinery vibration is limited. Care must be taken in optimizing the generation and utilization of available power. A power budget is managed in the design and operation of the selfpowered sensor node. The approach often taken is to optimize each component. However, due to the coupling that exists among the elements, optimization of individual components will likely result in a suboptimal system design. A series of analytical laboratory studies were conducted to determine the power consumption characteristics of Sensor (accelerometer) Oil purifier Energy Converter Energy Storage(Capacitor bank) Power Conversion and Control Radio Circuit (802.15.4) Processor Energy Harvesting (piezo-electric cantilever beam) Energy Harvesting Module Power Bus Memory Environment the system elements. An FFT algorithm was implemented in a wireless sensor node as a representative calculation for machinery health assessment. While the percent of time is spent transmitting data is typically very small, the power requirements are significant (Figure 3). Power utilization in the self-powered sensor node may be optimized by judiciously balancing the amount of processing done locally in the sensor node with the amount of data that will be sent to a central processor for subsequent processing and analysis. The implication of this decision and the uncertainties in future processing demand and communications requirement provide the parameters for a dynamic optimization problem. The experimental results from the shipboard experiment provide realistic data to begin framing this optimization problem.