CN110012421A - A kind of airport Working vehicle position location abnormal point detecting method - Google Patents
A kind of airport Working vehicle position location abnormal point detecting method Download PDFInfo
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- CN110012421A CN110012421A CN201910202069.5A CN201910202069A CN110012421A CN 110012421 A CN110012421 A CN 110012421A CN 201910202069 A CN201910202069 A CN 201910202069A CN 110012421 A CN110012421 A CN 110012421A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/025—Services making use of location information using location based information parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Position Fixing By Use Of Radio Waves (AREA)
Abstract
The present invention provides a kind of airport Working vehicle position location abnormal point detecting methods, belong to technical field of aerospace, step are as follows: the location point composition data set that S101, incoming N group need to judge；S102, judge whether the sample value of data acquisition system is more than or equal to standard value；S103, the average value (A for calculating separately the longitude and latitude of sample in data acquisition system1, A2)；S104, the longitude and latitude overall standard variance (S for calculating separately data acquisition system1, S2)；S105, judge whether longitude is abnormal point；S106, judge whether latitude is abnormal point；S107, delete data acquisition system sample the first data, and the location point that user inputs is added to data acquisition system end, it is available to return to the location point, EP (end of program).By accurately calculating, the abnormal point that vehicle location is uploaded effectively judges the present invention.
Description
Technical field
The invention belongs to technical field of aerospace, and in particular to a kind of airport Working vehicle position location outlier detection side
Method.
Background technique
In airport, dispatcher can carry out Working vehicle by the position of the Working vehicle uploaded in real time on map
Real-Time Scheduling, vehicle determine position by GPS, then periodically upload the latitude and longitude information obtained from GPS, such Working vehicle
Working vehicle position showing on map in real time has been accomplished in the real-time upload for completing position, and the prior art is by judging position
Whether whether the GPS coordinate set a little effective to judge location point in the route of airport planning, or passes through the strong of GPS signal
It is weak to judge whether location point is effective.
But the GPS location that current airport Working vehicle uploads does not pass through abnormal point verifying, timing in the prior art
The data such as the collected longitude and latitude of GPS sensor are uploaded, because the reasons such as building blocks, GPS signal is lost, may exist
Situations such as invalid data occupies server performance, position display is abnormal.It in the prior art can also be by simply judging GPS signal
Power determine whether location point effective, such that the accurate data under weak signal will not upload, and under strong signal
Wrong data is uploaded.
Summary of the invention
The present invention is exactly in view of the deficienciess of the prior art, provide a kind of airport Working vehicle position location abnormal point
Survey method, by accurately calculating, the abnormal point that vehicle location is uploaded effectively judges, can be completed uploading end
The judgement of abnormal data can reduce server stress in this way, and working at the same time display of the position of vehicle on map also can be more
It is accurate to add.
To solve the above problems, the technical solution used in the present invention is as follows:
A kind of airport Working vehicle position location abnormal point detecting method, step are as follows:
S101, transmission terminal is passed to the location point composition data set that N group needs to judge on the position of Working vehicle, and location point is
It for sample, is made of longitude and latitude (X, Y), the quantity N of location point is set to sample value in data acquisition system；
S102, judge whether the sample value of data acquisition system is more than or equal to standard value, be then to enter S103, be otherwise judged as sample value
Not enough, into S107；
S103, the average value (A1, A2) for calculating separately the longitude and latitude of sample in data acquisition system；
S104, the longitude and latitude overall standard variance (S1, S2) for calculating separately data acquisition system；
S105, judge whether longitude is abnormal point, be not that abnormal point then enters S106, be that abnormal point then returns to the location point sample
It is unavailable, EP (end of program)；
S106, judge whether latitude is abnormal point, be not that abnormal point then enters S107, be that abnormal point then returns to the location point sample
It is unavailable, EP (end of program)；
S107, delete data acquisition system sample the first data, and by user input location point be added to data acquisition system end
Tail, returning to the location point can be used, EP (end of program).
Compared with prior art, the advantages and positive effects of the present invention are: a kind of airport Working vehicle of the present invention
Position location abnormal point detecting method uploads the longitude and latitude of the incoming location point for needing to judge in end in work truck position, calculates
Whether the location point is abnormal point.Therefore the screening for accomplishing abnormal point in end can be uploaded in work truck position by this method, thus
Accomplish reduction server stress, increases Working vehicle in the reliability of map denotation position.
Detailed description of the invention
The flow chart of Fig. 1 airport Working vehicle of the present invention position location abnormal point detecting method.
Specific embodiment
The technical scheme of the present invention will be explained in further detail With reference to embodiment.
Airport Working vehicle position location abnormal point is that GPS signal is weak or complex environment situation when Working vehicle encounters
Under, for example, shelter bridge bottom, close to aircraft either terminal when, GPS receiver to the information such as longitude and latitude occur compared with
It is fixed for airport Working vehicle to there is the location point of grave fault with real work vehicle location latitude and longitude information for large-scale deviation
Position malposition point.
The step of airport Working vehicle position location abnormal point detecting method of the invention are as follows:
S101, transmission terminal is passed to the location point composition data set that N group needs to judge on the position of Working vehicle, and location point is
It for sample, is made of longitude and latitude (X, Y), the quantity N of location point is set to sample value in data acquisition system, for example, being passed to 6 groups of positions
Point, sample value are 6；The longitude and latitude of this N group location point can be expressed as (X1, Y1), (X2, Y2), (Xi, Yi) ... ... (XN,
YN).
S102, judge whether the sample value of data acquisition system is more than or equal to standard value, be then to enter S103, if sample value mistake
It is few, the precision of algorithm detection vehicle location malposition point can be reduced, obtained result validity can be very low, so data set
The sample value of conjunction is less than standard value and is then judged as that sample value is inadequate, into S106.
Standard value is configurable, it is proposed that standard value value interval is 3-8, and it is more smart that standard value sets higher algorithm calculated result
Standard, but equally will increase the pressure of system processes data.This exemplary invention Plays value is set as 5.
S103, the average value (A1, A2) for calculating separately the longitude and latitude of sample in data acquisition system, calculation formula are as follows:
A1=( X1 + X2 + …… + XN ) / N
A2=( Y1 + Y2 + …… + YN ) / N
Wherein, A1, A2 are respectively the average value of the longitude and latitude of sample in data acquisition system, XN, YN be sample n-th longitude or
Latitude value, N are sample value.
S104, the longitude and latitude overall standard variance (S1, S2) for calculating separately data acquisition system, calculation formula are
S1= , S2=
Wherein, S1, S2 are respectively the longitude and latitude overall standard variance of data acquisition system, and A1, A2 are respectively sample in data acquisition system
The average value of longitude and latitude, Xi, Yi are i-th of longitude of sample or latitude value, and N is sample value.
S104, judge whether longitude is abnormal point, specifically, calculating sample in the longitude Xi and data acquisition system of the location point
Longitude average value A1 difference (Xi-A1), whether the absolute value of judgement (Xi-A1) be less than three times of longitude overall standard variance S1
(S1*3)；It is to represent the absolute value of the longitude and precision average less than three times standard deviation, the point is acceptable in deviation
In range, into S105；Otherwise the point is represented as deviation not within an acceptable range, deviation is excessive, determines that the location point is different
Chang Dian, it is unavailable to return to the location point sample, EP (end of program).
S105, judge whether latitude is abnormal point, specifically, calculating the latitude Yi of the location point and the sample of data acquisition system
Latitude average value A2 difference (Yi-A2), judge whether the three times of absolute value of (Yi-A2) are less than latitude overall standard variance S2
Three times (S2*3)；It is to represent the absolute value of the latitude and latitude average value less than three times standard deviation, the point is in deviation
In tolerance interval, into S106；Otherwise the point is represented as deviation not within an acceptable range, deviation is excessive, determines the position
Point is abnormal point, and it is unavailable to return to the location point, EP (end of program).
S106, in order to guarantee that data acquisition system quantity is the standard value of sample canonical quantity, after algorithm, delete data set
First data of the sample of conjunction, and the location point that user inputs is added to data acquisition system end, added by deleting legacy data
Add new valid data, this ensure that the data of data acquisition system are nearest five valid data, so that next time a incoming
Location point can be computed correctly out whether the location point is abnormal point, and then returning to the location point can be used, EP (end of program).
The present invention realizes following technical effect:
(1) abnormal point judgement is carried out by this method, the calculating of abnormal point has been placed on the position of Working vehicle on transmission terminal,
The pressure of server is reduced in this way, so that the computing capability of server is placed in other service logics, strong improves clothes
The performance of business device.
(2) abnormal point judgement is carried out by this method, abnormal location point can be checked, can accomplish only to upload in this way
The position normally obtained, so that the vehicle location shown on map is more accurate and reliable.
(3) abnormal point judgement is carried out by this method, can be passed by reducing unnecessary network by detection abnormal point
It is defeated, accomplish car-mounted terminal longer cruise duration and less flow, reduces use cost.
Above embodiments are only several in the several preferred embodiment of the present invention, it is noted that the present invention is not limited to
Above-described embodiment；It for those of ordinary skill in the art, still can be to technical solution documented by previous embodiment
It modifies or equivalent replacement of some of the technical features；And these modifications or substitutions, do not make relevant art side
The essence of case is detached from the spirit and scope of claimed technical solution of the invention.
Claims (6)
1. a kind of airport Working vehicle position location abnormal point detecting method, which is characterized in that step are as follows:
S101, transmission terminal is passed to the location point composition data set that N group needs to judge on the position of Working vehicle, and location point is
It for sample, is made of longitude and latitude (X, Y), the quantity N of location point is set to sample value in data acquisition system；
S102, judge whether the sample value of data acquisition system is more than or equal to standard value, be then to enter S103, be otherwise judged as sample value
Not enough, into S107；
S103, the average value (A1, A2) for calculating separately the longitude and latitude of sample in data acquisition system；
S104, the longitude and latitude overall standard variance (S1, S2) for calculating separately data acquisition system；
S105, judge whether longitude is abnormal point, be not that abnormal point then enters S106, be that abnormal point then returns to the location point sample
It is unavailable, EP (end of program)；
S106, judge whether latitude is abnormal point, be not that abnormal point then enters S107, be that abnormal point then returns to the location point sample
It is unavailable, EP (end of program)；
S107, delete data acquisition system sample the first data, and by user input location point be added to data acquisition system end
Tail, returning to the location point can be used, EP (end of program).
2. a kind of airport Working vehicle position location according to claim 1 abnormal point detecting method, which is characterized in that institute
Stating standard value is 3-8.
3. a kind of airport Working vehicle position location according to claim 1 abnormal point detecting method, which is characterized in that
Calculate the formula of the average value (A1, A2) of the longitude and latitude of sample in data acquisition system are as follows:
A1=( X1 + X2 + …… + XN ) / N
A2=( Y1 + Y2 + …… + YN ) / N
Wherein, A1, A2 are respectively the average value of the longitude and latitude of sample in data acquisition system, XN, YN be sample n-th longitude or
Latitude value, N are sample value.
4. a kind of airport Working vehicle position location according to claim 3 abnormal point detecting method, which is characterized in that
The formula of longitude and latitude overall standard variance (S1, S2) for calculating data acquisition system is
S1= , S2=
Wherein, S1, S2 are respectively the longitude and latitude overall standard variance of data acquisition system, and A1, A2 are respectively sample in data acquisition system
The average value of longitude and latitude, Xi, Yi are i-th of longitude of sample or latitude value, and N is sample value.
5. a kind of airport Working vehicle position location according to claim 4 abnormal point detecting method, which is characterized in that sentence
It is the longitude average value A1 of sample in the longitude Xi and data acquisition system for calculate the location point that whether disconnected longitude, which is the method for abnormal point,
Difference (Xi-A1), whether the absolute value of judgement (Xi-A1) be less than three times (S1*3) of longitude overall standard variance S1, be then into
Enter S106, determine the location point otherwise for abnormal point, it is unavailable to return to the location point sample, EP (end of program).
6. a kind of airport Working vehicle position location according to claim 5 abnormal point detecting method, which is characterized in that sentence
It is the latitude average value A2 for calculating the sample of latitude Yi and data acquisition system of the location point that whether staplings degree, which is the method for abnormal point,
Difference (Yi-A2), whether the absolute value of judgement (Yi-A2) be less than three times (S2*3) of latitude overall standard variance S2, be then into
Enter S107, determine the location point otherwise for abnormal point, it is unavailable to return to the location point, EP (end of program).
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| CN201910202069.5A CN110012421A (en) | 2019-03-18 | 2019-03-18 | A kind of airport Working vehicle position location abnormal point detecting method |
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| CN201910202069.5A CN110012421A (en) | 2019-03-18 | 2019-03-18 | A kind of airport Working vehicle position location abnormal point detecting method |
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| CN104931989A (en) * | 2015-07-14 | 2015-09-23 | 成都乐动信息技术有限公司 | Method and device for detecting abnormal point in movement locus |
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Patent Citations (5)
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|---|---|---|---|---|
| CN104467866A (en) * | 2014-10-14 | 2015-03-25 | 福建师范大学 | Angle-based track data compression method and device |
| CN104931989A (en) * | 2015-07-14 | 2015-09-23 | 成都乐动信息技术有限公司 | Method and device for detecting abnormal point in movement locus |
| CN105119734A (en) * | 2015-07-15 | 2015-12-02 | 中国人民解放军防空兵学院 | Full network anomaly detection positioning method based on robust multivariate probability calibration model |
| CN108681745A (en) * | 2018-04-25 | 2018-10-19 | 腾讯科技（深圳）有限公司 | The recognition methods of exception information and device, storage medium, electronic device |
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Application publication date: 20190712 |
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