CN104832299B - A kind of high oil consumption driving condition decision method, equipment and system - Google Patents

A kind of high oil consumption driving condition decision method, equipment and system Download PDF

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CN104832299B
CN104832299B CN201510098833.0A CN201510098833A CN104832299B CN 104832299 B CN104832299 B CN 104832299B CN 201510098833 A CN201510098833 A CN 201510098833A CN 104832299 B CN104832299 B CN 104832299B
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sample
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acquisition system
oil consumption
matrix
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CN104832299A (en
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纪政
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Neusoft Corp
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Abstract

The present invention provides a kind of high oil consumption driving condition determination methods, including:The engine speed of interval collection automobile, speed and instantaneous oil consumption to schedule;N number of engine speed sample r by samplingiWith N number of speed sample viConstitute the first data acquisition system U={ xi|xi=(ri,vi),1≤i≤N};Sample de-redundancy is carried out to the sample in first data acquisition system, the sample after de-redundancy constitutes the second data acquisition system;Extract from second data acquisition system and sample is isolated, the corresponding instantaneous oil consumption of the isolated sample drives node for high oil consumption.The second data acquisition system being constituted after redundant samples are removed, being extracted and isolate sample from the second data acquisition system, the corresponding instantaneous oil consumption of these isolated samples drives node for high oil consumption.As under normal circumstances, oil consumption is all concentrated near the main group body of sample, and these the isolated samples away from main group body are high oil consumption nodes.These high oil consumption nodes can remind when driver occurs in that the high oil consumption caused due to improper driving behavior in driving procedure.

Description

A kind of high oil consumption driving condition decision method, equipment and system
Technical field
The present invention relates to automobile fuel consumption technical field, more particularly to a kind of high oil consumption driving condition determination methods, equipment and System.
Background technology
Automobile is stood in the breach and is faced with reduction fuel consumption as the main body of fuel consumption, improves all of fuel economy Many technical requirements.Therefore, the fuel consumption for how reducing automobile on the premise of vehicle dynamic quality is ensured as far as possible seems especially Important.
In driving procedure, due to some bad steering behaviors of driver, for example bad gear shift drive (high-grade turn low-grade, Low gear with high and high-grade low speed), step on the gas suddenly, frequently braking, long-time idling, frequent doubling, frequently anxious plus (subtracting) fast and super Speed traveling etc., and cause to produce extra oil consumption (high oil consumption part).
Therefore, those skilled in the art need to provide a kind of high oil consumption driving condition determination methods, accurately can judge not Good driving behavior produces the node of high oil consumption, so as to remind driver to avoid bad steering behavior in driving procedure.
Content of the invention
The technical problem to be solved in the present invention is to provide a kind of high oil consumption driving condition determination methods, equipment and system, energy Enough nodes for accurately judging that bad steering behavior produces high oil consumption, so as to remind driver to avoid bad steering row in driving procedure For.
The present embodiment provides a kind of high oil consumption driving condition determination methods, including:
The engine speed of interval collection automobile, speed and instantaneous oil consumption to schedule;
N number of engine speed sample r by samplingiWith N number of speed sample viConstitute the first data acquisition system U={ xi|xi= (ri,vi),1≤i≤N};
Sample de-redundancy is carried out to the sample in first data acquisition system, the sample after de-redundancy constitutes the second data set Close;
Extract from second data acquisition system and sample is isolated, the corresponding instantaneous oil consumption of the isolated sample is driven for high oil consumption Sail node.
Preferably, including:To the sample de-redundancy in first data acquisition system, the sample after de-redundancy constitutes second and counts According to set;Specially:
Each sample in first data acquisition system is added first mark;
Calculate in the first data acquisition system U i-th sample with N-i sample thereafter each sample European away from From being zero if there are an Euclidean distance, it is determined that i-th sample is redundant samples, by the first of i-th sample Mark is changed to the second mark;
The all samples for having the described first mark are added the second data acquisition system.
Preferably, from the second data acquisition system V={ xi|xi=(ri,vi), 1≤i≤M } in extract isolate sample, tool Body is:
Calculate any two sample x in the second data acquisition systemiAnd xjBetween Euclidean distance, 1≤j≤M;Described second Data acquisition system includes M sample;M is the integer less than or equal to N;
Square formation S of one M*M of construction, and the S is initialized as zero square formation, when any in second data acquisition system Two sample xiAnd xjBetween Euclidean distance less than predetermined value R when, then arrange matrix S in S (xi,xj)=1;
Matrix S is carried out transposition, obtains transposed matrix ST
To the transposed matrix STEach column count go out the total sum of non-zero entry, then with each non-zero entry in row Divided by sum, a new matrix A is obtained;
Obtain characteristic vector V corresponding to the eigenvalue of maximum of the matrix Am, and by the VmStandardization;
If VmIn component less than predetermined threshold θ when, then the corresponding sample of the component for isolate sample.
The embodiment of the present invention also provides a kind of high oil consumption driving condition and judges equipment, including:Collecting unit, de-redundancy unit With isolated sampling unit;
The collecting unit, for the engine speed of interval collection automobile to schedule, speed and instantaneous oil Consumption;
The de-redundancy unit, for carrying out sample de-redundancy to the sample in first data acquisition system, after de-redundancy Sample constitute the second data acquisition system;
The isolated sampling unit, isolates sample, the isolated sample for extracting from second data acquisition system This corresponding instantaneous oil consumption drives node for high oil consumption.
Preferably, the de-redundancy unit includes:First mark subelement, Euclidean distance computation subunit, mark modification Subelement and the second data acquisition system generate subelement;
The first mark subelement, marks for each sample in first data acquisition system is added first;
The first computation subunit of the Euclidean distance, for calculating in the first data acquisition system U i-th sample with thereafter N-i sample in each sample Euclidean distance;
The mark modification subelement, for being zero when there is an Euclidean distance, it is determined that i-th sample is redundancy Sample, the first mark of i-th sample is changed to the second mark;
Second data acquisition system generates subelement, for adding second to count in all samples for having the described first mark According to set.
Preferably, the isolated sampling unit includes:It is single that the second computation subunit of Euclidean distance, s-matrix obtain son Unit, transposed matrix obtain subelement, A matrix and obtain subelement, normalizer unit and isolated sampling subelement;
The second computation subunit of the Euclidean distance, for calculating any two sample x in the second data acquisition systemiAnd xj Between Euclidean distance, 1≤j≤M;Second data acquisition system includes M sample;M is the integer less than or equal to N;
The s-matrix obtains subelement, for constructing square formation S of a M*M, and the S is initialized as zero square formation, when Any two sample x in second data acquisition systemiAnd xjBetween Euclidean distance less than predetermined value R when, then arrange matrix S In S (xi,xj)=1;
The transposed matrix obtains subelement, for matrix S is carried out transposition, obtains transposed matrix ST
The A matrix obtains subelement, for the transposed matrix STEach column count go out the sum of non-zero entry Sum, then with each non-zero entry in row divided by sum, obtain a new matrix A;
The normalizer unit, for obtaining characteristic vector V corresponding to the eigenvalue of maximum of the matrix Am, and will The VmStandardization;
The isolated sampling subelement, if for VmIn when there is element less than predetermined threshold θ, then VmIn the element Corresponding sample is for isolating sample.
The embodiment of the present invention also provides a kind of high oil consumption driving condition and judges system, including:Speed probe, speed sensing Device, oil consumption sensor and vehicle control device;
The speed probe, for the engine speed of interval collection automobile to schedule;
The vehicle speed sensor, for gathering the speed of automobile according to the predetermined time interval;
The oil consumption sensor, for gathering the instantaneous oil consumption of automobile according to the predetermined time interval;
The vehicle control device, for the N number of engine speed sample r that will be samplediWith N number of speed sample viConstitute first Data acquisition system U={ xi|xi=(ri,vi),1≤i≤N};Sample de-redundancy is carried out to the sample in first data acquisition system, Sample after de-redundancy constitutes the second data acquisition system;Extract from second data acquisition system and isolate sample, the isolated sample Corresponding instantaneous oil consumption drives node for high oil consumption.
Preferably, the vehicle control device, to the sample de-redundancy in first data acquisition system, the sample after de-redundancy Constitute the second data acquisition system;Specially:Each sample in first data acquisition system is added first mark;Calculate described The Euclidean distance of i-th sample and each sample in N-i sample thereafter in one data acquisition system U, if there are one European away from From for zero, it is determined that i-th sample is redundant samples, the first mark of i-th sample is changed to the second mark;Will The all samples for having the described first mark add the second data acquisition system.
Preferably, the vehicle control device, from the second data acquisition system V={ xi|xi=(ri,vi), 1≤i≤M } in Extract and sample is isolated, specially:Calculate any two sample x in the second data acquisition systemiAnd xjBetween Euclidean distance, 1≤j ≤M;Second data acquisition system includes M sample;M is the integer less than or equal to N;Square formation S of one M*M of construction, and The S is initialized as zero square formation, as any two sample x in second data acquisition systemiAnd xjBetween Euclidean distance little When predetermined value R, then S (the x in matrix S is seti,xj)=1;Matrix S is carried out transposition, obtains transposed matrix ST;To described turn Put matrix STEach column count go out the total sum of non-zero entry, then with each non-zero entry in row divided by sum, obtain one New matrix A;Obtain characteristic vector V corresponding to the eigenvalue of maximum of the matrix Am, and by the VmStandardization;If VmIn Component less than predetermined threshold θ when, then the corresponding sample of the component for isolate sample.
Compared with prior art, the present invention has advantages below:
The method that the present embodiment is provided, gathers the engine speed of automobile and speed, by engine speed and speed one by one The first data acquisition system of corresponding composition, the sample in the first data acquisition system is carried out de-redundancy, is constituted after redundant samples are removed Second data acquisition system, extracts from the second data acquisition system and isolates sample, and the corresponding instantaneous oil consumption of these isolated samples is high oil consumption Drive node.As under normal circumstances, oil consumption is all concentrated near the main group body of sample, and these the isolated samples away from main group body Originally it is high oil consumption node.These high oil consumption nodes can remind when driver is occurred in that due to improper driving in driving procedure The high oil consumption that behavior causes.
Description of the drawings
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing Accompanying drawing to be used needed for technology description is had to be briefly described, it should be apparent that, drawings in the following description are only this Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, acceptable Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is high one flow chart of oil consumption driving condition determination methods embodiment that the present invention is provided;
Fig. 2 is high two flow chart of oil consumption driving condition determination methods embodiment that the present invention is provided;
Fig. 3 is high three flow chart of oil consumption driving condition determination methods embodiment that the present invention is provided;
Fig. 4 is the isolated sample schematic diagram that the present invention is provided;
Fig. 5 is the high oil consumption analogous diagram that the present invention is provided;
Fig. 6 is that the high oil consumption driving condition that the present invention is provided judges one schematic diagram of apparatus embodiments;
Fig. 7 is that the high oil consumption driving condition that the present invention is provided judges two schematic diagram of apparatus embodiments;
Fig. 8 is that the high oil consumption driving condition that the present invention is provided judges three schematic diagram of apparatus embodiments;
Fig. 9 is that the high oil consumption driving condition that the present invention is provided judges one schematic diagram of system embodiment.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation is described, it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments.It is based on Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made Embodiment, belongs to the scope of protection of the invention.
Understandable for enabling the above objects, features and advantages of the present invention to become apparent from, below in conjunction with the accompanying drawings to the present invention Specific embodiment be described in detail.
Embodiment of the method one:
Referring to Fig. 1, the figure is high one flow chart of oil consumption driving condition determination methods embodiment that the present invention is provided.
The high oil consumption driving condition determination methods that the present embodiment is provided are comprised the following steps:
S101:The engine speed of interval collection automobile, speed and instantaneous oil consumption to schedule;
S102:N number of engine speed sample r by samplingiWith N number of speed sample viConstitute the first data acquisition system U={ xi| xi=(ri,vi),1≤i≤N};
As high oil consumption all has relation with the speed of car and the rotating speed of engine, accordingly, it would be desirable to gather the two parameters Characterize, synchronization gathers an engine speed and speed, and the two parameters are one-to-one relations.First data acquisition system Element x in U includes a pair of engine speed and speed.
S103:Sample de-redundancy is carried out to the sample in first data acquisition system, the sample after de-redundancy constitutes second Data acquisition system;
As in the engine speed that gathers and speed, to there may exist repetition or the oil consumption of sign be identical, because This, subsequent calculations, need to carry out de-redundancy to sample for convenience.Implementing for de-redundancy is may determine that between two samples Distance whether identical, if identical, one of sample can be deleted, carry out de-redundancy.Sample structure after de-redundancy Become the second data acquisition system.
S104:Extract from second data acquisition system and sample is isolated, the corresponding instantaneous oil consumption of the isolated sample is height Oil consumption drives node.
Wherein, isolated sample is the sample from population sample farther out, i.e., away from the sample of main group body.Such isolated sample Corresponding is that high oil consumption drives node.
The method that the present embodiment is provided, gathers the engine speed of automobile and speed, by engine speed and speed one by one The first data acquisition system of corresponding composition, the sample in the first data acquisition system is carried out de-redundancy, is constituted after redundant samples are removed Second data acquisition system, extracts from the second data acquisition system and isolates sample, and the corresponding instantaneous oil consumption of these isolated samples is high oil consumption Drive node.As under normal circumstances, oil consumption is all concentrated near the main group body of sample, and these the isolated samples away from main group body Originally it is high oil consumption node.These high oil consumption nodes can remind when driver is occurred in that due to improper driving in driving procedure The high oil consumption that behavior causes, reminds driver to improve driving behavior so as to reduce extra high oil consumption.
Embodiment of the method two:
Referring to Fig. 2, the figure is high two flow chart of oil consumption driving condition determination methods embodiment that the present invention is provided.
The concrete grammar to the sample de-redundancy in the first data acquisition system is introduced in the present embodiment.
S201:Each sample in first data acquisition system is added first mark;
For example, it is that each sample adds the first mark -1 in the first data acquisition system;
S202:Calculate in the first data acquisition system U the Europe of i-th sample and each sample in N-i sample thereafter Formula distance, is zero if there are an Euclidean distance, it is determined that i-th sample is redundant samples, by i-th sample First mark is changed to the second mark;
Such as second is labeled as the index value of sample.
Sample de-redundancy is carried out specifically in the present embodiment:By N-i sample after i-th and i-th ask European away from From.
Hypothesis N is 10 (index value scopes:0~9).
1st sample (index value is 0) seeks Euclidean distance with 10-1=9 sample after which, i.e., the 1st sample and its Each in 10-1=9 sample afterwards seeks Euclidean distance, if having in these Euclidean distances null, the 1st Sample labeling is redundant samples and -1 will mark and become its index value 0, if without null in Euclidean distance, originally - 1 mark constant.
2nd sample (index value is 1) seeks Euclidean distance with 10-2=8 sample after which, i.e., the 2nd sample and its Each in 10-2=8 sample afterwards seeks Euclidean distance, if having in these Euclidean distances null, the 2nd Sample labeling is redundant samples and -1 will mark and become its index value 1, if without null in Euclidean distance, originally - 1 mark constant.
9th sample (index value is 8) seeks Euclidean distance with 10-9=1 sample after which, i.e., the 9th sample and its Each in 10-9=1 sample afterwards seeks Euclidean distance, if having in these Euclidean distances null, the 9th Sample labeling is redundant samples and -1 will mark and become its index value 8, if without null in Euclidean distance, originally - 1 mark constant.
The sample set for finally owning -1 mark is the sample set after de-redundancy.
S203:The all samples for having the described first mark are added the second data acquisition system.
It should be noted that first mark and second mark can select according to actual needs, as long as first mark and Second mark is different otherwise varied, is not specifically limited in the present embodiment.
Carry out the second data acquisition system formed after sample de-redundancy in the present embodiment, be in order to improve isolated pattern detection Precision.
Embodiment of the method three:
Referring to Fig. 3, the figure is high three flow chart of oil consumption driving condition determination methods embodiment that the present invention is provided.
Introduce in the present embodiment from the second data acquisition system V={ xi|xi=(ri,vi), 1≤i≤M } in extract isolated The concrete grammar of sample, including following step:
S301:Calculate any two sample x in the second data acquisition systemiAnd xjBetween Euclidean distance, 1≤j≤M;Described Second data acquisition system includes M sample;M is the integer less than or equal to N;
S302:Square formation S of one M*M of construction, and the S is initialized as zero square formation, when in second data acquisition system Any two sample xiAnd xjBetween Euclidean distance less than predetermined value R when, then arrange matrix S in S (xi,xj)=1;
S303:Matrix S is carried out transposition, obtains transposed matrix ST
S304:To the transposed matrix STEach column count go out the total sum of non-zero entry, then non-with each in row Null element obtains a new matrix A divided by sum;
S305:Obtain characteristic vector V corresponding to the eigenvalue of maximum of the matrix Am, and by the VmStandardization;
S306:If VmIn exist element less than predetermined threshold θ when, then the corresponding sample of the element for isolate sample.
Assume matrix
The characteristic vector of matrix M is:Vm=[0.7255 0.3747 0.5774 0].
M is the matrix of a 4*4, four samples (line number or columns are sample number) has been described, then their index Value is 0,1,2,3 successively.
Vm has four elements, and the corresponding index value of its element is 0,1,2,3 successively, the index value of this index value and sample It is corresponding.
Predetermined threshold θ very little is set as 0.00001, it is clear that last element 0 of Vm is less than the threshold value, then its corresponding rope The sample for drawing value for 3 is for isolating sample.
It should be noted that the one-component of each sample character pair vector.
Later to de-redundancy the second data acquisition system construction distance matrix in the present embodiment, then using Matrix Analysis Method Obtain isolating sample.
As shown in figure 4, abscissa is speed, ordinate is engine speed, the isolated sample that circle sample representation is detected This, little square frame represents original sample.
From Fig. 5, abscissa represents air line distance (unit from east to west:Rice), ordinate represents straight line from south to north Distance (unit:Rice).As can be seen that have on curve black circles for high oil consumption node.
Based on a kind of high oil consumption driving condition determination methods that above example is provided, the embodiment of the present invention also provides one kind High oil consumption driving condition judges equipment, below in conjunction with the accompanying drawings being described in detail.
Apparatus embodiments one:
Referring to Fig. 6, the figure is that the high oil consumption driving condition that the present invention is provided judges one schematic diagram of apparatus embodiments.
The high oil consumption driving condition that the present embodiment is provided judges equipment, including:Collecting unit 601,602 and of de-redundancy unit Isolated sampling unit 603;
The collecting unit 601, for the interval collection engine speed of automobile to schedule, speed and instantaneous Oil consumption;
As high oil consumption all has relation with the speed of car and the rotating speed of engine, accordingly, it would be desirable to gather the two parameters Characterize, synchronization gathers an engine speed and speed, and the two parameters are one-to-one relations.First data acquisition system Element x in U includes a pair of engine speed and speed.
The de-redundancy unit 602, for carrying out sample de-redundancy, de-redundancy to the sample in first data acquisition system Sample afterwards constitutes the second data acquisition system;
As in the engine speed that gathers and speed, to there may exist repetition or the oil consumption of sign be identical, because This, subsequent calculations, need to carry out de-redundancy to sample for convenience.Implementing for de-redundancy is may determine that between two samples Distance whether identical, if identical, one of sample can be deleted, carry out de-redundancy.Sample structure after de-redundancy Become the second data acquisition system.
Sample is carried out de-redundancy be in order to improve the follow-up precision for isolating pattern detection.
The isolated sampling unit 603, isolates sample for extracting from second data acquisition system, described isolated The corresponding instantaneous oil consumption of sample drives node for high oil consumption.
Wherein, isolated sample is the sample from population sample farther out, i.e., away from the sample of main group body.Such isolated sample Corresponding is that high oil consumption drives node.
The method that the present embodiment is provided, gathers the engine speed of automobile and speed, by engine speed and speed one by one The first data acquisition system of corresponding composition, the sample in the first data acquisition system is carried out de-redundancy, is constituted after redundant samples are removed Second data acquisition system, extracts from the second data acquisition system and isolates sample, and the corresponding instantaneous oil consumption of these isolated samples is high oil consumption Drive node.As under normal circumstances, oil consumption is all concentrated near the main group body of sample, and these the isolated samples away from main group body Originally it is high oil consumption node.These high oil consumption nodes can remind when driver is occurred in that due to improper driving in driving procedure The high oil consumption that behavior causes, reminds driver to improve driving behavior so as to reduce extra high oil consumption.
Apparatus embodiments two:
Referring to Fig. 7, the figure is that the high oil consumption driving condition that the present invention is provided judges two schematic diagram of apparatus embodiments.
De-redundancy unit is introduced in the present embodiment.
The de-redundancy unit includes:First mark subelement 602a, Euclidean distance computation subunit 602b, mark modification Subelement 602c and the second data acquisition system generate subelement 602d;
The first mark subelement 602a, marks for each sample in first data acquisition system is added first Note;
For example, it is that each sample adds the first mark -1 in the first data acquisition system;
The first computation subunit 602b of the Euclidean distance, for calculate in the first data acquisition system U i-th sample with Thereafter the Euclidean distance of each sample in N-i sample;
The mark modification subelement 602c, for when to have an Euclidean distance be zero, it is determined that i-th sample be Redundant samples, the first mark of i-th sample is changed to the second mark;
Such as second is labeled as the index value of sample.
Sample de-redundancy is carried out specifically in the present embodiment:By N-i sample after i-th and i-th ask European away from From.
Hypothesis N is 10 (index value scopes:0~9).
1st sample (index value is 0) seeks Euclidean distance with 10-1=9 sample after which, i.e., the 1st sample and its Each in 10-1=9 sample afterwards seeks Euclidean distance, if having in these Euclidean distances null, the 1st Sample labeling is redundant samples and -1 will mark and become its index value 0, if without null in Euclidean distance, originally - 1 mark constant.
2nd sample (index value is 1) seeks Euclidean distance with 10-2=8 sample after which, i.e., the 2nd sample and its Each in 10-2=8 sample afterwards seeks Euclidean distance, if having in these Euclidean distances null, the 2nd Sample labeling is redundant samples and -1 will mark and become its index value 1, if without null in Euclidean distance, originally - 1 mark constant.
9th sample (index value is 8) seeks Euclidean distance with 10-9=1 sample after which, i.e., the 9th sample and its Each in 10-9=1 sample afterwards seeks Euclidean distance, if having in these Euclidean distances null, the 9th Sample labeling is redundant samples and -1 will mark and become its index value 8, if without null in Euclidean distance, originally - 1 mark constant.
The sample set for finally owning -1 mark is the sample set after de-redundancy.
Second data acquisition system generates subelement 602d, and all samples for having the described first mark add the Two data acquisition systems.
It should be noted that first mark and second mark can select according to actual needs, as long as first mark and Second mark is different otherwise varied, is not specifically limited in the present embodiment.
Carry out the second data acquisition system formed after sample de-redundancy in the present embodiment, be in order to improve isolated pattern detection Precision.
Apparatus embodiments three:
Referring to Fig. 8, the figure is that the high oil consumption driving condition that the present invention is provided judges three schematic diagram of apparatus embodiments.
Introduce in the present embodiment and isolate sampling unit.
The isolated sampling unit includes:The second computation subunit 603a of Euclidean distance, s-matrix obtain subelement 603b, transposed matrix obtain subelement 603c, A matrix acquisition subelement 603d, normalizer unit 603e and isolated sample and take out Take subelement 603f;
The second computation subunit 603a of the Euclidean distance, for calculating any two sample x in the second data acquisition systemi And xjBetween Euclidean distance, 1≤j≤M;Second data acquisition system includes M sample;M is whole less than or equal to N Number;
The s-matrix obtains subelement 603b, for constructing square formation S of a M*M, and the S is initialized as zero side Battle array, as any two sample x in second data acquisition systemiAnd xjBetween Euclidean distance less than predetermined value R when, then arrange S (x in matrix Si,xj)=1;
The transposed matrix obtains subelement 603c, for matrix S is carried out transposition, obtains transposed matrix ST
The A matrix obtains subelement 603d, for the transposed matrix STEach column count go out the total of non-zero entry Number sum, then with each non-zero entry in row divided by sum, obtain a new matrix A;
The normalizer unit 603e, for obtaining characteristic vector V corresponding to the eigenvalue of maximum of the matrix Am, And by the VmStandardization;
The isolated sampling subelement 603f, if for VmIn when there is element less than predetermined threshold θ, then VmIn should The corresponding sample of element is for isolating sample.
Assume matrix
The characteristic vector of matrix M is:Vm=[0.7255 0.3747 0.5774 0].
M is the matrix of a 4*4, four samples (line number or columns are sample number) has been described, then their index Value is 0,1,2,3 successively.
Vm has four elements, and the corresponding index value of its element is 0,1,2,3 successively, the index value of this index value and sample It is corresponding.
Predetermined threshold θ very little is set as 0.00001, it is clear that last element 0 of Vm is less than the threshold value, then its corresponding rope The sample for drawing value for 3 is for isolating sample.
It should be noted that the one-component of each sample character pair vector.
Later to de-redundancy the second data acquisition system construction distance matrix in the present embodiment, then using Matrix Analysis Method Obtain isolating sample.
System embodiment one:
Referring to Fig. 9, the figure is that the high oil consumption driving condition that the present invention is provided judges one schematic diagram of system embodiment.
The high oil consumption driving condition that the present embodiment is provided judges system, including:Speed probe 901, vehicle speed sensor 902nd, oil consumption sensor 903 and vehicle control device 904;
The speed probe 901, for the engine speed of interval collection automobile to schedule;
The vehicle speed sensor 902, for gathering the speed of automobile according to the predetermined time interval;
The oil consumption sensor 903, for gathering the instantaneous oil consumption of automobile according to the predetermined time interval;
The vehicle control device 904, for the N number of engine speed sample r that will be samplediWith N number of speed sample viConstitute the One data acquisition system U={ xi|xi=(ri,vi),1≤i≤N};Sample de-redundant is carried out to the sample in first data acquisition system Remaining, the sample after de-redundancy constitutes the second data acquisition system;Extract from second data acquisition system and isolate sample, the isolated sample This corresponding instantaneous oil consumption drives node for high oil consumption.
As high oil consumption all has relation with the speed of car and the rotating speed of engine, accordingly, it would be desirable to gather the two parameters Characterize, synchronization gathers an engine speed and speed, and the two parameters are one-to-one relations.First data acquisition system Element x in U includes a pair of engine speed and speed.
As in the engine speed that gathers and speed, to there may exist repetition or the oil consumption of sign be identical, because This, subsequent calculations, need to carry out de-redundancy to sample for convenience.Implementing for de-redundancy is may determine that between two samples Distance whether identical, if identical, one of sample can be deleted, carry out de-redundancy.Sample structure after de-redundancy Become the second data acquisition system.
Wherein, isolated sample is the sample from population sample farther out, i.e., away from the sample of main group body.Such isolated sample Corresponding is that high oil consumption drives node.
The method that the present embodiment is provided, gathers the engine speed of automobile and speed, by engine speed and speed one by one The first data acquisition system of corresponding composition, the sample in the first data acquisition system is carried out de-redundancy, is constituted after redundant samples are removed Second data acquisition system, extracts from the second data acquisition system and isolates sample, and the corresponding instantaneous oil consumption of these isolated samples is high oil consumption Drive node.As under normal circumstances, oil consumption is all concentrated near the main group body of sample, and these the isolated samples away from main group body Originally it is high oil consumption node.These high oil consumption nodes can remind when driver is occurred in that due to improper driving in driving procedure The high oil consumption that behavior causes, reminds driver to improve driving behavior so as to reduce extra high oil consumption.
The vehicle control device, to the sample de-redundancy in first data acquisition system, the sample after de-redundancy constitutes the Two data acquisition systems;Specially:Each sample in first data acquisition system is added first mark;Calculate first data In set U, the Euclidean distance of i-th sample and each sample in N-i sample thereafter, is zero if there are an Euclidean distance, I-th sample is then determined for redundant samples, the first mark of i-th sample is changed to the second mark;Institute will be had The all samples for stating the first mark add the second data acquisition system.
The vehicle control device, from the second data acquisition system V={ xi|xi=(ri,vi), 1≤i≤M } in extract isolated Sample, specially:Calculate any two sample x in the second data acquisition systemiAnd xjBetween Euclidean distance, 1≤j≤M;Described Second data acquisition system includes M sample;M is the integer less than or equal to N;Square formation S of one M*M of construction, and by the beginning of the S Beginning cancellation square formation, as any two sample x in second data acquisition systemiAnd xjBetween Euclidean distance be less than predetermined value R When, then S (the x in matrix S is seti,xj)=1;Matrix S is carried out transposition, obtains transposed matrix ST;To the transposed matrix ST Each column count go out the total sum of non-zero entry, then with each non-zero entry in row divided by sum, obtain a new matrix A;Obtain characteristic vector V corresponding to the eigenvalue of maximum of the matrix Am, and by the VmStandardization;If there is VmIn unit When element is less than predetermined threshold θ, then the corresponding sample of the element is for isolating sample.
It should be noted that first mark and second mark can select according to actual needs, as long as first mark and Second mark is different otherwise varied, is not specifically limited in the present embodiment.
Carry out the second data acquisition system formed after sample de-redundancy in the present embodiment, be in order to improve isolated pattern detection Precision.
It should be noted that each sample corresponds to the characteristic vector of one-component.
Later to de-redundancy the second data acquisition system construction distance matrix in the present embodiment, then using Matrix Analysis Method Obtain isolating sample.
The above, is only presently preferred embodiments of the present invention, not makees any pro forma restriction to the present invention.Though So the present invention is disclosed above with preferred embodiment, but is not limited to the present invention.Any it is familiar with those skilled in the art Member, without departing under technical solution of the present invention ambit, the methods and techniques content all using the disclosure above is to the present invention Technical scheme makes many possible variations and modification, or the Equivalent embodiments for being revised as equivalent variations.Therefore, every without departing from The content of technical solution of the present invention, the technical spirit according to the present invention is to any simple modification made for any of the above embodiments, equivalent Change and modification, all still fall within the range of technical solution of the present invention protection.

Claims (9)

1. a kind of high oil consumption driving condition determination methods, it is characterised in that include:
The engine speed of interval collection automobile, speed and instantaneous oil consumption to schedule;
N number of engine speed sample r by samplingiWith N number of speed sample viConstitute the first data acquisition system U={ xi|xi=(ri, vi),1≤i≤N};
Sample de-redundancy is carried out to the sample in first data acquisition system, the sample after de-redundancy constitutes the second data acquisition system;
Extract from second data acquisition system and sample is isolated, the corresponding instantaneous oil consumption of the isolated sample drives section for high oil consumption Point.
2. high oil consumption driving condition determination methods according to claim 1, it is characterised in that include:Count to described first According to the sample de-redundancy in set, the sample after de-redundancy constitutes the second data acquisition system;Specially:
Each sample in first data acquisition system is added first mark;
The Euclidean distance of i-th sample and each sample in N-i sample thereafter is calculated in the first data acquisition system U, such as It is zero that fruit has an Euclidean distance, it is determined that i-th sample is redundant samples, and the first of i-th sample is marked It is changed to the second mark;
The all samples for having the described first mark are added the second data acquisition system.
3. high oil consumption driving condition determination methods according to claim 2, it is characterised in that from second data acquisition system V={ xi|xi=(ri,vi), 1≤i≤M } in extract isolate sample, specially:
Calculate any two sample x in the second data acquisition systemiAnd xjBetween Euclidean distance, 1≤j≤M;Second data Set includes M sample;M is the integer less than or equal to N;
Square formation S of one M*M of construction, and the S is initialized as zero square formation, any two in second data acquisition system Sample xiAnd xjBetween Euclidean distance less than predetermined value R when, then arrange matrix S in S (xi,xj)=1;
Matrix S is carried out transposition, obtains transposed matrix ST
To the transposed matrix STEach column count go out the total sum of non-zero entry, then with each non-zero entry in row divided by Sum, obtains a new matrix A;
Obtain characteristic vector V corresponding to the eigenvalue of maximum of the matrix Am, and by the VmStandardization;
If VmIn component less than predetermined threshold θ when, then the corresponding sample of the component for isolate sample.
4. a kind of high oil consumption driving condition judges equipment, it is characterised in that include:Collecting unit, de-redundancy unit and isolated sample This extracting unit;
The collecting unit, for the engine speed of interval collection automobile, speed and instantaneous oil consumption to schedule;Will N number of engine speed sample r of samplingiWith N number of speed sample viConstitute the first data acquisition system U={ xi|xi=(ri,vi),1≤i ≤N};
The de-redundancy unit, for carrying out sample de-redundancy to the sample in first data acquisition system, the sample after de-redundancy The second data acquisition system of this composition;
The isolated sampling unit, isolates sample, the isolated sample pair for extracting from second data acquisition system The instantaneous oil consumption that answers drives node for high oil consumption.
5. high oil consumption driving condition according to claim 4 judges equipment, it is characterised in that the de-redundancy unit bag Include:It is single that first mark subelement, the first computation subunit of Euclidean distance, mark modification subelement and the second data acquisition system generate son Unit;
The first mark subelement, marks for each sample in first data acquisition system is added first;
The first computation subunit of the Euclidean distance, for calculating i-th sample and N- thereafter in the first data acquisition system U The Euclidean distance of each sample in i sample;
The mark modification subelement, for being zero when there is an Euclidean distance, it is determined that i-th sample is redundancy sample This, the first mark of i-th sample is changed to the second mark;
Second data acquisition system generates subelement, for all samples for having the described first mark are added the second data set Close.
6. high oil consumption driving condition according to claim 5 judges equipment, it is characterised in that the isolated sampling list Unit includes:The second computation subunit of Euclidean distance, s-matrix obtain subelement, transposed matrix and obtain subelement, A matrix acquisition Unit, normalizer unit and isolated sampling subelement;
The second computation subunit of the Euclidean distance, for calculating any two sample x in the second data acquisition systemiAnd xjBetween Euclidean distance, 1≤j≤M;Second data acquisition system includes M sample;M is the integer less than or equal to N;
The s-matrix obtains subelement, for constructing square formation S of a M*M, and the S is initialized as zero square formation, when described Any two sample x in second data acquisition systemiAnd xjBetween Euclidean distance less than predetermined value R when, then arrange matrix S in S (xi,xj)=1;
The transposed matrix obtains subelement, for matrix S is carried out transposition, obtains transposed matrix ST
The A matrix obtains subelement, for the transposed matrix STEach column count go out the total sum of non-zero entry, then use Each non-zero entry in row obtains a new matrix A divided by sum;
The normalizer unit, for obtaining characteristic vector V corresponding to the eigenvalue of maximum of the matrix Am, and will be described VmStandardization;
The isolated sampling subelement, if for VmIn when there is element less than predetermined threshold θ, then VmIn the element correspond to Sample for isolate sample.
7. a kind of high oil consumption driving condition judges system, it is characterised in that include:Speed probe, vehicle speed sensor, oil consumption are passed Sensor and vehicle control device;
The speed probe, for the engine speed of interval collection automobile to schedule;
The vehicle speed sensor, for gathering the speed of automobile according to the predetermined time interval;
The oil consumption sensor, for gathering the instantaneous oil consumption of automobile according to the predetermined time interval;
The vehicle control device, for the N number of engine speed sample r that will be samplediWith N number of speed sample viConstitute the first data Set U={ xi|xi=(ri,vi),1≤i≤N};Sample de-redundancy, de-redundant are carried out to the sample in first data acquisition system Sample after remaining constitutes the second data acquisition system;Extract from second data acquisition system and sample is isolated, the isolated sample is corresponded to Instantaneous oil consumption drive node for high oil consumption.
8. high oil consumption driving condition according to claim 7 judges system, it is characterised in that the vehicle control device, right Sample de-redundancy in first data acquisition system, the sample after de-redundancy constitute the second data acquisition system;Specially:By described Each sample in one data acquisition system adds first and marks;Calculate i-th sample and N- thereafter in the first data acquisition system U The Euclidean distance of each sample in i sample, is zero if there are an Euclidean distance, it is determined that i-th sample is redundancy Sample, the first mark of i-th sample is changed to the second mark;All samples that the described first mark will be had add the Two data acquisition systems.
9. high oil consumption driving condition according to claim 8 judges system, it is characterised in that the vehicle control device, from The second data acquisition system V={ xi|xi=(ri,vi), 1≤i≤M } in extract isolate sample, specially:Calculate the second data Any two sample x in setiAnd xjBetween Euclidean distance, 1≤j≤M;Second data acquisition system includes M sample This;M is the integer less than or equal to N;Square formation S of one M*M of construction, and the S is initialized as zero square formation, when described second Any two sample x in data acquisition systemiAnd xjBetween Euclidean distance less than predetermined value R when, then arrange matrix S in S (xi, xj)=1;Matrix S is carried out transposition, obtains transposed matrix ST;To the transposed matrix STEach column count go out the total of non-zero entry Number sum, then with each non-zero entry in row divided by sum, obtain a new matrix A;Obtain the maximum feature of the matrix A Corresponding characteristic vector V of valuem, and by the VmStandardization;If VmIn component less than predetermined threshold θ when, then the component is corresponded to Sample for isolate sample.
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