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As usual, researches and knowledge are constantly evolving; these built prompts to more studies and researches in order to achieve the closest state of optimization. According to our previous (Reference 5). This proposal improves the algorithms by calibrate the flowmeter sensors (YF-S201) separately in order to reduce the manufacture error rate. In addition, a laser sensor (TF mini Lidar) were used instead of an ultrasonic sensor to measure the fuel volume of the main tank. In addition, four voltage sensors (AC type) and three clamp meters (model SCT- 013) were added to the system to indicate the electric in real-time. All these sensors are connected and controlled by two MEGA Arduino Microcontrollers and the information has been stored into the database that could be downloaded and displayed locally or remotely via internet as a Graphical User Interface (GUI) using Public IP. This proposal found that the error rate of calculating the fuel consumed in the generator is (3.8%), this is more accurate by (90%) than previous one. The fuel in the main tank noticed that the accuracy is increased by (3.1%), as well; it produced more security for fuel from leakage or pilfering. The abnormal behaver of generator can be reached immediately by monitoring the voltage and ampere on real-time mode.

Embedded System Improvement for Monitoring and Measuring Fuel Consumption System Automatically over Public IP