Automated HDL signal processing deployment performance from high level MATLAB specification for an unmanned aerial vehicle (UAV)

Leakage of Liquefied Petroleum Gas and Liquified Natural Gas (LPG/LNG) produces hazardous and toxic impact on humans and other living creatures. The authors developed a system to monitor and control the gas leakage concentration. MQ-6 gas sensor is used for sensing the level of gas concentration in a closed volume. To monitor the consequences of environmental changes an IoT platform hosted by “Thingspeak” platform has been introduced. Both robust and cloud-forwarded controls have been applied to prevent uncontrolled leakage of those gases and auto-ignition. This type of system can be directly applied to the engine chamber/ fuel chamber of the modern marine vessels using dual fuel power cycle with LPG/LNG as secondary fuel-flamer. The results from the experiments clearly indicate satisfactory actuation speed and accuracy. The trials performed by the authors showed about 99% efficiency of signal transmission and actuation.

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Automated HDL signal processing deployment performance from high level MATLAB specification for an unmanned aerial vehicle (UAV)

Cited by 3 publications

References 13 publications

A WSN (Wireless Sensor Network) Approach for Controlling the Actuator Wirelessly through Database Interaction

A WSN (Wireless Sensor Network) Approach for Controlling the Actuator Wirelessly through Database Interaction

Implementation of High Level Synthesis for Adaptive FIR Filtering on Embedded System

IoT Utilized Gas-Leakage Monitoring System with Adaptive Controls Applicable to Dual Fuel Powered Naval Vessels/Ships: Development & Implementation

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