Research on Monitoring Method of Fuel Consumption for Large and Medium-sized Vehicles Based on Sensor Network

Abstract

Application of fuel tank status monitoring technology is studied during the operation of large and medium-sized vehicles. By means of sensor network technology, the vehicle on-board terminal periodic data was collected. Vehicle fuel oil of sensing historical data was analyzed and processed. Recognition algorithm of fuel state is studied in order that the status of each of the fuel sampling points are identified as 4 states: "Using, oil filling, oil leaking, Stopping", in order to automatically calculate and perceive the vehicle filling time, oil filling value, oil leaking time, oil leaking value and daily fuel oil consumption value. To overseeing and decision of illegal acts of drivers and conductors such as overstatement of the amount of fuel, stealing and selling fuel to provide the scientific basis for the decision to reduce the loss of company property. On the basis of the fuel status recognition, the calculated results and the actual vehicle oil filling data are analyzed and compared, indicating that the vehicle fuel status recognition algorithm can determine the state of each fuel sample point correctly. Calculated value compared to the actual oil filling values and fuel consumption values, errors between them are no more than 3%, meeting the requirements of the fuel control. Vehicle fuel Status recognition algorithm for each oil sample point fuel condition was the correct judgment, then monitoring fuel calculation and amount of oil used to control the enterprise cost of fuel. The result is satisfactory.