CN106441474A - Method and system for determining vehicle fuel consumption abnormality based on extreme value median filtering - Google Patents
Method and system for determining vehicle fuel consumption abnormality based on extreme value median filtering Download PDFInfo
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- CN106441474A CN106441474A CN201610269749.5A CN201610269749A CN106441474A CN 106441474 A CN106441474 A CN 106441474A CN 201610269749 A CN201610269749 A CN 201610269749A CN 106441474 A CN106441474 A CN 106441474A
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- oil consumption
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F9/00—Measuring volume flow relative to another variable, e.g. of liquid fuel for an engine
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/02—Preprocessing
Abstract
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
The present invention relates to a kind of vehicle oil consumption abnormality determination method based on Optimal Space and system.
Background technology
With developing rapidly of social constantly progressive and auto industry, various special-purpose vehicles are more and more applied to
The industry such as keep a public place clean in logistics transportation, mine operation, engineering construction, city.For obtaining scale and benefit, the enterprise being engaged in these industries is past
Toward the working truck troop having scale, the oil consumption of vehicle is very important important cost.But, automobile dispatches from the factory standard configuration
Oil consumption instrument can not meet the demand of acquisition vehicle oil consumption situation real-time, accurate；More cannot meet department of enterprise organization realistic
When determine oil consumption exception and point out the core demand of warning to detect oiling in real time or to steal oil abnormal, carry out recording or abnormal
Report to the police.
Vehicle oil consumption unusual determination process, needs, according to the oil tank of vehicle Fuel Oil Remaining measured, to be divided by algorithm
Analysis and detect oilings/steal oil oil consumption exception.At present, the method measuring vehicle fuel tank fuel quantity has oily float measurement, ultrasound
Multiple methods such as amount.In reality, the measurement result of these methods is often produced noise or signal hair by external interference
Thorn.So, how effectively to leach the important technology difficult point that oil mass signal noise is intended to solve.
Under actual environment, the situation generation ripple such as what fuel tank fuel quantity can produce in temperature Change, driving process jolt
Dynamic, how effectively to identify that these situations, the degree of accuracy of raising vehicle oil consumption unusual determination are also important technological difficulties.
The problems referred to above are the problems should paid attention to and solve during the design and use of vehicle.
Content of the invention
It is an object of the invention to provide a kind of vehicle oil consumption abnormality determination method based on Optimal Space and Solutions of Systems
Certainly present in prior art, how real-time judgment goes out oil consumption abnormal problem.
The technical solution of the present invention is：
A kind of vehicle oil consumption abnormality determination method based on Optimal Space, including：
Sampled signal filters, and carries out noise filtering to fuel tank fuel quantity sampled signal；
Oil consumption unusual determination, uses sliding window to pass through sequence labelling method and carries out oil consumption unusual determination, be specially：
Assuming that oil mass signal collection is combined into X={xi, i=1,2,3 ..., select the sliding window W of a fixed size to depend on
Signal data in secondary extraction X；
Calculate 2 x to the data point in W successivelyi-1And xiBetween difference, when difference be more than threshold value Δ set in advance
When, mark at these 2 and be respectively the abnormal starting point of oil consumption and end point；
Continue to calculate some xiAnd xi+！Between difference, if difference be more than threshold value Δ set in advance, mark oil consumption abnormal ending
Point position xi+！, algorithm continues；Otherwise, oil consumption unusual determination terminates, and the abnormal starting point of oil consumption and end point are opening of current markers
Initial point and end point.
Further, in sampled signal filtering, based on the local correlations of signal, from by the signaling point set of noise pollution
In X', restore real data-signal X.
Further, noise filtering is carried out to fuel tank fuel quantity sampled signal, be specially：Select the filter window of fixed size
It is filtered to the signaling point collecting processing；In filter window, first judge whether window center point is in filter window
Extreme point, if so, then carry out median filtering algorithm；If not extreme point, then retain the value of original signal point；Mobile filter window
Mouthful, until all signaling points are disposed.
Further, in oil consumption unusual determination, employing closes on reverse value matching method and carries out abnormal leaching, specifically of fluctuating
For：
The oil consumption unusual determination result that certain is determined, it may be judged whether belong to similar square wave case, in this way, by this two
Individual oil consumption unusual determination result is deleted from oil consumption unusual determination results set；Otherwise retain；
Continue from oil consumption unusual determination results set, take out next oil consumption unusual determination result to carry out closing on contravariant vector
Value coupling, until the element in oil consumption unusual determination results set all judges or collects to be combined into sky by coupling.
Further, it may be judged whether belong to similar square wave case, it is specially：Select the oil consumption unusual determination determining with this
The closest reverse oil consumption unusual determination result of result, carries out mathematic interpolation, if difference be less than threshold value set in advance, then this
Two oil consumption unusual determination results belong to similar square wave case, are otherwise not belonging to similar square wave case.
A kind of vehicle oil consumption unusual determination system based on Optimal Space, including：
Sampled signal filtration module, carries out noise filtering to fuel tank fuel quantity sampled signal；
Oil consumption unusual determination module, uses sliding window to pass through sequence labelling method and carries out oil consumption unusual determination, be specially：
Assuming that oil mass signal collection is combined into X={xi, i=1,2,3 ..., select the sliding window W of a fixed size to depend on
Signal data in secondary extraction X；
Calculate 2 x to the data point in W successivelyi-1And xiBetween difference, when difference be more than threshold value Δ set in advance
When, mark at these 2 and be respectively the abnormal starting point of oil consumption and end point；
Continue to calculate some xiAnd xi+！Between difference, if difference be more than threshold value Δ set in advance, mark oil consumption abnormal ending
Point position xi+！, algorithm continues；Otherwise, oil consumption unusual determination terminates, and the abnormal starting point of oil consumption and end point are opening of current markers
Initial point and end point.
Further, in sampled signal filtration module, based on the local correlations of signal, from by the signaling point of noise pollution
In set X', restore real data-signal X.
Further, noise filtering is carried out to fuel tank fuel quantity sampled signal, be specially：Select the filter window of fixed size
It is filtered to the signaling point collecting processing；In filter window, first judge whether window center point is in filter window
Extreme point, if so, then carry out median filtering algorithm；If not extreme point, then retain the value of original signal point；Mobile filter window
Mouthful, until all signaling points are disposed.
Further, also include that fluctuation is abnormal and leach module：Employing closes on reverse value matching method and carries out abnormal filter of fluctuating
Go out, be specially：
The oil consumption unusual determination result that certain is determined, it may be judged whether belong to similar square wave case, in this way, by this two
Individual oil consumption unusual determination result is deleted from oil consumption unusual determination results set；Otherwise retain；
Continue from oil consumption unusual determination results set, take out next oil consumption unusual determination result to carry out closing on contravariant vector
Value coupling, until the element in oil consumption unusual determination results set all judges or collects to be combined into sky by coupling.
Further, it may be judged whether belong to similar square wave case, it is specially：Select the oil consumption unusual determination determining with this
The closest reverse oil consumption unusual determination result of result, carries out mathematic interpolation, if difference be less than threshold value set in advance, then this
Two oil consumption unusual determination results belong to similar square wave case, are otherwise not belonging to similar square wave case.
The invention has the beneficial effects as follows：This kind based on the vehicle oil consumption abnormality determination method of Optimal Space and system,
After noise filtering is carried out to fuel tank fuel quantity sampled signal, use sliding window to pass through sequence labelling method and carry out oil consumption unusual determination,
Oil consumption abnormal problem can be gone out by real-time judgment.The method, is capable of similar square wave case identification, and similar square wave case is not just
The abnormal measurement result of true oil consumption, should remove from measurement result.So, it has been considerably improved the accurate of oil consumption abnormality detection
Degree.
Brief description
Fig. 1 is the schematic flow sheet based on the vehicle oil consumption abnormality determination method of Optimal Space for the embodiment of the present invention.
Fig. 2 is the schematic diagram of the similar square wave case occurring in oil mass change curve in embodiment.
Detailed description of the invention
Describe the preferred embodiments of the present invention below in conjunction with the accompanying drawings in detail.
Embodiment
Sampled signal filters
Fuel tank fuel quantity sampled signal is one group of one-dimensional discrete signal data.Conventional noise filtering method have mean filter,
The filtering methods such as medium filtering.For nonlinear properties, medium filtering is a kind of conventional filtering method, and it can be made an uproar leaching
The signal detail of part is retained while sound.
Filtering algorithm is the local correlations based on signal, and from the signaling point set X' by noise pollution, it is suitable to select
Method, restore real data-signal X as far as possible.But, it is not that each signaling point can be made an uproar in X'
The impact of sound, it is possible to it is exactly real data point, if being filtered without distinction processing, it will make primary signal lose
Very.By substantial amounts of experimental data comparison, embodiment discovery vehicle fuel tank fuel quantity signaling point exactly meets this feature：Positive reason
Under condition, the oil mass variation that the oil mass signal point that samples presents between steady downward trend, and at 2 is little；Non-when having
During line noise interference, signaling point presents " pulse " change, and the signaling point being adjacent compares, and the numerical value of this signaling point is often
Maximum value or minimum value.
So for the filtering process of oil mass signal, choosing is with the following method：Select the filter window of suitable size to collection
To signaling point be filtered process；In filter window, first judge whether window center point is the extreme value in filter window
Point.If so, then carry out classical median filtering algorithm, if not extreme point, then retain the value of original signal point；Mobile filter window
Mouthful, until all signaling points are disposed.
Oil consumption unusual determination
Such as Fig. 1, the abnormal judgement of oil consumption uses sliding window to pass through sequence labelling method, and specific algorithm is described as follows:Assuming that oil mass
Signal set is X={xi, i=1,2,3 ..., select the sliding window W of a fixed size to extract the signal number in X successively
According to；Calculate 2 x to the data point in W successivelyi-1And xiBetween difference, when difference more than threshold value Δ set in advance when, mark
These 2 are respectively the abnormal starting point of oil consumption and end point；Continue to calculate some xiAnd xi+！Between difference, if difference is more than in advance
The threshold value Δ setting, marks oil consumption abnormal ending point position xi+！, algorithm continues；Otherwise, oil consumption unusual determination terminates, and oil consumption is abnormal
Starting point and starting point that end point is current markers and end point.
Fluctuation is abnormal to be leached
When fuel tank fuel quantity by temperature affected, travel the extraneous factor interference such as jolt when, can in oil mass change curve
Similar square wave case can occur, as shown in Figure 2.
For above-mentioned situation, determining of mistake may there is oiling situation at " 1 " and " 3 " place, and in " 2 " and " 4 "
Place exists steals oil extremely.But actual conditions are probably, garage crosses one section of fluctuating road surface, cause fuel level in tank liquid level change and
The measurement variation causing, if it is determined that oil consumption is abnormal clearly inappropriate in this case.Close on reversely to this end, use
Value matching method, filters these situations, and concrete grammar is described as follows：
The oil consumption unusual determination result determining for certain, selects the reverse oil consumption unusual determination closest with it to tie
Really, carrying out mathematic interpolation, if difference is less than threshold value set in advance, then the two oil consumption unusual determination result belongs to similar
They are deleted from oil consumption unusual determination results set, otherwise retain by " square wave " situation；Continue from oil consumption unusual determination knot
Fruit is taken out next oil consumption unusual determination result and carries out closing on reverse value coupling in gathering, until oil consumption unusual determination result set
Element in conjunction all judges or collects to be combined into sky by coupling.For example, use closes on the number to upper figure for the reverse value matching process
According to carrying out, fluctuation is abnormal to be leached, then to be that " 2 " and " 3 ", " 1 " and " 4 " are satisfied close on contravariant vector value predicate to result, and they are not
The abnormal measurement result of correct oil consumption, should remove from measurement result.So, it has been considerably improved the accurate of oil consumption abnormality detection
Degree.
A kind of vehicle oil consumption unusual determination system based on Optimal Space realizing said method, including：
Sampled signal filtration module, carries out noise filtering to fuel tank fuel quantity sampled signal；
Oil consumption unusual determination module, uses sliding window to pass through sequence labelling method and carries out oil consumption unusual determination, be specially：
Assuming that oil mass signal collection is combined into X={xi, i=1,2,3 ..., select the sliding window W of a fixed size to depend on
Signal data in secondary extraction X；
Calculate 2 x to the data point in W successivelyi-1And xiBetween difference, when difference be more than threshold value Δ set in advance
When, mark at these 2 and be respectively the abnormal starting point of oil consumption and end point；
Continue to calculate some xiAnd xi+！Between difference, if difference be more than threshold value Δ set in advance, mark oil consumption abnormal ending
Point position xi+！, algorithm continues；Otherwise, oil consumption unusual determination terminates, and the abnormal starting point of oil consumption and end point are opening of current markers
Initial point and end point.
In sampled signal filtration module, based on the local correlations of signal, from the signaling point set X' by noise pollution,
Restore real data-signal X.Noise filtering is carried out to fuel tank fuel quantity sampled signal, is specially：Select the filter of fixed size
The signaling point collecting is filtered processing by ripple window；In filter window, first judge whether window center point is filtering
Extreme point in window, if so, then carries out median filtering algorithm；If not extreme point, then retain the value of original signal point；Mobile
Filter window, until all signaling points are disposed.
Also include that fluctuation is abnormal and leach module：Employing closes on reverse value matching method and carries out abnormal leaching of fluctuating, and is specially：
The oil consumption unusual determination result that certain is determined, it may be judged whether belong to similar square wave case, in this way, by this two
Individual oil consumption unusual determination result is deleted from oil consumption unusual determination results set；Otherwise retain；
Continue from oil consumption unusual determination results set, take out next oil consumption unusual determination result to carry out closing on contravariant vector
Value coupling, until the element in oil consumption unusual determination results set all judges or collects to be combined into sky by coupling.
Judge whether to belong to similar square wave case, be specially：Select the most adjacent with this oil consumption unusual determination result determining
Near reverse oil consumption unusual determination result, carries out mathematic interpolation, if difference is less than threshold value set in advance, then the two oil consumption
Unusual determination result belongs to similar square wave case, is otherwise not belonging to similar square wave case.
Claims (10)
1. the vehicle oil consumption abnormality determination method based on Optimal Space, it is characterised in that include：
Sampled signal filters, and carries out noise filtering to fuel tank fuel quantity sampled signal；
Oil consumption unusual determination, uses sliding window to pass through sequence labelling method and carries out oil consumption unusual determination, be specially：
Assuming that oil mass signal collection is combined into X={xi, i=1,2,3 ..., select the sliding window W of a fixed size to extract successively
Signal data in X；
Calculate 2 x to the data point in W successivelyi-1And xiBetween difference, when difference more than threshold value Δ set in advance when, mark
These 2 are respectively the abnormal starting point of oil consumption and end point；
Continue to calculate some xiAnd xi+！Between difference, if difference be more than threshold value Δ set in advance, mark oil consumption abnormal ending point position
xi+！, algorithm continues；Otherwise, oil consumption unusual determination terminates, the abnormal starting point of oil consumption and the starting point that end point is current markers
And end point.
2. the vehicle oil consumption abnormality determination method based on Optimal Space as claimed in claim 1, it is characterised in that sampling
In signal filtering, based on the local correlations of signal, from the signaling point set X' by noise pollution, restore real data
Signal X.
3. the vehicle oil consumption abnormality determination method based on Optimal Space as claimed in claim 2, it is characterised in that to oil
Case oil mass sampled signal carries out noise filtering, is specially：The signaling point collecting is carried out by the filter window selecting fixed size
Filtering process；In filter window, first judge whether window center point is the extreme point in filter window, if so, then carries out
Median filtering algorithm；If not extreme point, then retain the value of original signal point；Mobile filter window, until at all signaling points
Reason finishes.
4. the vehicle oil consumption abnormality determination method based on Optimal Space as described in any one of claim 1-3, its feature
It is：In oil consumption unusual determination, employing closes on reverse value matching method and carries out abnormal leaching of fluctuating, and is specially：
The oil consumption unusual determination result that certain is determined, it may be judged whether belong to similar square wave case, in this way, by the two oil
Consumption unusual determination result is deleted from oil consumption unusual determination results set；Otherwise retain；
Continue from oil consumption unusual determination results set, take out next oil consumption unusual determination result to carry out closing on reverse value
Join, until the element in oil consumption unusual determination results set all judges or collect to be combined into sky by coupling.
5. the vehicle oil consumption abnormality determination method based on Optimal Space as claimed in claim 4, it is characterised in that：Judge
Whether belong to similar square wave case, be specially：Select the reverse oil consumption closest with this oil consumption unusual determination result determining
Unusual determination result, carries out mathematic interpolation, if difference is less than threshold value set in advance, then the two oil consumption unusual determination result
Belong to similar square wave case, be otherwise not belonging to similar square wave case.
6. the vehicle oil consumption unusual determination system based on Optimal Space, it is characterised in that include：
Sampled signal filtration module, carries out noise filtering to fuel tank fuel quantity sampled signal；
Oil consumption unusual determination module, uses sliding window to pass through sequence labelling method and carries out oil consumption unusual determination, be specially：
Assuming that oil mass signal collection is combined into X={xi, i=1,2,3 ..., select the sliding window W of a fixed size to extract successively
Signal data in X；
Calculate 2 x to the data point in W successivelyi-1And xiBetween difference, when difference more than threshold value Δ set in advance when, mark
These 2 are respectively the abnormal starting point of oil consumption and end point；
Continue to calculate some xiAnd xi+ ！Between difference, if difference be more than threshold value Δ set in advance, mark oil consumption abnormal ending point position
xi+ ！, algorithm continues；Otherwise, oil consumption unusual determination terminates, the abnormal starting point of oil consumption and the starting point that end point is current markers
And end point.
7. the vehicle oil consumption abnormality determination method based on Optimal Space as claimed in claim 1, it is characterised in that sampling
In signal filtering module, based on the local correlations of signal, from the signaling point set X' by noise pollution, restore real
Data-signal X.
8. the vehicle oil consumption abnormality determination method based on Optimal Space as claimed in claim 2, it is characterised in that to oil
Case oil mass sampled signal carries out noise filtering, is specially：The signaling point collecting is carried out by the filter window selecting fixed size
Filtering process；In filter window, first judge whether window center point is the extreme point in filter window, if so, then carries out
Median filtering algorithm；If not extreme point, then retain the value of original signal point；Mobile filter window, until at all signaling points
Reason finishes.
9. the vehicle oil consumption abnormality determination method based on Optimal Space as described in any one of claim 6-8, its feature
It is：Also include that fluctuation is abnormal and leach module：Employing closes on reverse value matching method and carries out abnormal leaching of fluctuating, and is specially：
The oil consumption unusual determination result that certain is determined, it may be judged whether belong to similar square wave case, in this way, by the two oil
Consumption unusual determination result is deleted from oil consumption unusual determination results set；Otherwise retain；
Continue from oil consumption unusual determination results set, take out next oil consumption unusual determination result to carry out closing on reverse value
Join, until the element in oil consumption unusual determination results set all judges or collect to be combined into sky by coupling.
10. the vehicle oil consumption abnormality determination method based on Optimal Space as claimed in claim 9, it is characterised in that：Sentence
Break and whether belong to similar square wave case, be specially：Select the reverse oil closest with this oil consumption unusual determination result determining
Consumption unusual determination result, carries out mathematic interpolation, if difference is less than threshold value set in advance, then the two oil consumption unusual determination knot
Fruit belongs to similar square wave case, is otherwise not belonging to similar square wave case.
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| CN113051311B (en) * | 2021-03-16 | 2023-07-28 | 鱼快创领智能科技(南京)有限公司 | Method, system and device for monitoring abnormal change of liquid level of vehicle oil tank |
| CN114211952A (en) * | 2021-12-29 | 2022-03-22 | 无锡坦程物联网股份有限公司 | Oil quantity data monitoring method and system |
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| CN106441474B (en) | 2019-08-09 |
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