Vehicle Fuel Consumption Abnormal Judgment Method and System Based on Extremum Median Filter
A technology of extreme median filtering and abnormality determination, which is applied in the field of vehicle fuel consumption abnormality determination and system based on extreme median filtering, which can solve problems such as abnormal fuel consumption and achieve the effect of improving accuracy.
Active Publication Date: 2019-08-09
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 and median filtering. For nonlinear signals, median filtering is a commonly used filtering method, which can filter out noise while retaining the details of the next part of the signal.
[0039] The filtering algorithm is based on the local correlation of the signal. From the set of signal points 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 is possible that it is 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 volume of the vehicle fuel tank exactly meets this characteristic: under normal ...
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The present invention provides a method and system for judging abnormality of vehicle fuel consumption based on extreme value median filtering, and performs noise filtering on fuel tank fuel quantity sampling signals: based on the local correlation of signals, from the signal point set X' polluted by noise, The real data signal X is restored; the sliding window sequential marking method is used to judge the abnormal fuel consumption, and the fluctuation abnormality is filtered out in the abnormal fuel consumption judgment; After the noise of the fuel sampling signal is filtered out, the sliding window sequential marking method is used to judge the abnormal fuel consumption, which can determine the abnormal fuel consumption in real time. This method can realize the identification of similar square wave situations, and the similar square wave situations are not correct abnormal fuel consumption measurement results and should be removed from the measurement results. In this way, the accuracy of abnormal fuel consumption detection is greatly improved.
Description
Technical field [0001] The invention relates to a method and system for judging abnormal vehicle fuel consumption based on extreme 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 and transportation, mining operations, engineering construction, urban cleaning and other industries. In order to obtain economies of scale, companies engaged in these industries often have large-scale operating vehicle teams, and vehicle fuel consumption is an important cost that cannot be ignored. However, the standard fuel consumption meter of the car cannot meet the demand for real-time and accurate acquisition of the fuel consumption of the vehicle; it cannot meet the core demand of the enterprise management department to determine the abnormal fuel consumption in real time and prompt the alarm, that is, to detect the abnormality of fueling or stea...
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IPC IPC(8): G01F9/00G06K9/00
CPCG01F9/00G06F2218/02
Inventor 程倬范延军张雷
Owner SUZHOU VORTEX INFORMATION TECH