Method and system for determining vehicle fuel consumption abnormality based on extreme value median filtering
A technology of extreme median filtering and abnormality determination, which is applied in the recognition of patterns in signals, measurement devices, instruments, etc., can solve problems such as abnormal fuel consumption, and achieve the effect of improving accuracy
Active Publication Date: 2017-02-22
SUZHOU VORTEX INFORMATION TECH
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[0006] The purpose of the present invention is to provide a method and system for judging abnormal fuel consumption of vehicles based on extreme value median filtering to solve the problem of how to judge abnormal fuel consumption in real time in the prior art
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[0037] Sampled Signal Filtering
[0038] The fuel tank fuel quantity sampling signal is a set of one-dimensional discrete signal data. Commonly used noise filtering methods include mean filtering, median filtering and other filtering methods. For nonlinear signals, median filtering is a commonly used filtering method, which can retain part of the signal details while filtering out noise.
[0039] The filtering algorithm is based on the local correlation of the signal. From the signal point set X' polluted by noise, an appropriate method is selected to restore the real data signal X as much as possible. However, not every signal point in X' will be affected by noise. It may be a real data point. If filtering is performed indiscriminately, the original signal will be distorted. Through the comparison of a large number of experimental data, the embodiment found that the signal point of the fuel quantity of the vehicle fuel tank just meets this characteristic: under normal circu...
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The invention provides a method and system for determining vehicle fuel consumption abnormality based on extreme value median filtering, the method comprises following steps: noise filtering is performed on fuel tank fuel quantity sampling signals: on the basis of local-correlation of the signals, real data signal X is restored from a signal point set X' which is polluted by noise; fuel consumption abnormity determination is carried out by means of a sliding window sequential marking method and fluctuation abnormity filtering is carried out during the fuel consumption abnormity determination. According to the method for determining vehicle fuel consumption abnormality based on extreme value median filtering, through performing noise filtering on fuel tank fuel quantity sampling signals, fuel consumption abnormity determination is carried out by means of a sliding window sequential marking method for determining fuel consumption abnormity in real time. By means of the method, analogical square wave case is identified, the analogical square wave case is incorrect fuel consumption abnormity determination result, which should be removed from determination results. In this way, the detection accuracy of fuel consumption abnormity is greatly increased.
Description
technical field [0001] The invention relates to a method and system for judging abnormal fuel consumption of vehicles based on extreme value median filtering. Background technique [0002] With the continuous progress of society and the rapid development of the automobile industry, various special vehicles are increasingly used in logistics transportation, mine operations, engineering construction, urban cleaning and other industries. In order to obtain economies of scale, companies engaged in these industries often have a large-scale fleet of operating vehicles, and the fuel consumption of vehicles is an important cost that cannot be ignored. However, the fuel consumption meter equipped as standard in the factory cannot meet the needs of real-time and accurate acquisition of vehicle fuel consumption; it cannot meet the core requirements of the enterprise management department to determine the abnormal fuel consumption in real time and prompt an alarm, that is, to detect the...
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Login to View More IPC IPC(8): G01F9/00G06K9/00
CPCG01F9/00G06F2218/02
Inventor 程倬范延军张雷
Owner SUZHOU VORTEX INFORMATION TECH