CN107221184A - A kind of determination methods based on vehicle position data - Google Patents
A kind of determination methods based on vehicle position data Download PDFInfo
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- CN107221184A CN107221184A CN201710486157.3A CN201710486157A CN107221184A CN 107221184 A CN107221184 A CN 107221184A CN 201710486157 A CN201710486157 A CN 201710486157A CN 107221184 A CN107221184 A CN 107221184A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
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- Traffic Control Systems (AREA)
Abstract
The invention discloses a kind of determination methods based on vehicle position data, it includes determining target location regional extent, and the regional extent includes the longitude where target location, latitude；Real-time judge vehicle position information, the positional information includes longitude sometime where vehicle, latitude and time point this moment；By the positional information real-time Transmission of vehicle to distributed server；The distributed server recognizes positional information and by the information transfer after identification to processor by algorithm；The processor stores the positional information of vehicle sometime in real time, and is transferred to display and shows.Can solve the problem that due to position data send equipment itself error cause target do not move in the case of occur position data display fluctuation, and then can not effectively judge target whether effective designated area the problem of.
Description
Technical field
The present invention relates to a kind of localized delivery field, particularly a kind of determination methods based on vehicle position data.
Background technology
Present station acquisition equipment on the market, it is possible to achieve positioning, the statistics function such as mileage and speed, therefore its quilt
It is widely used in the fields such as mine, oil or its transport.It is well known that even high-precision station acquisition equipment, its institute
All there is certain deviation in the position data and physical location of transmission, this is that the loss that current technology can not overcome is true.
Therefore, if to judge a target that can send position data or the mesh with transmittable position data equipment
Whether mark enters or goes out into a designated area, then such case occurs：Target is actual in a close designated area
It is motionless on side or edge, and receiving can then show that the numeric data of the target exists always on the external equipment of its position data
The adjacent edges of the designated area are fluctuated back and forth.Fluctuation of the position data of target at designated area edge back and forth.This fluctuation
Application band great interference to station acquisition equipment is, it is necessary to which those skilled in the art solve the problem.
The content of the invention
In view of the drawbacks described above of prior art, it is an object of the invention to provide a kind of sentencing based on vehicle position data
Disconnected method, can solve the problem that causes target positional number occur in the case where not moving because position data sends equipment itself error
According to display fluctuation, and then can not effectively judge target whether effective designated area the problem of..
The purpose of the present invention realized by such technical scheme, a kind of judgement side based on vehicle position data
Method, it includes：Methods described step is as follows：
S01：Target location regional extent is determined, the regional extent includes the longitude where target location, latitude；
S02：Real-time judge vehicle position information, the positional information includes longitude, latitude sometime where vehicle
And time point this moment；
S03：By the positional information real-time Transmission of vehicle to distributed server；The distributed server is known by algorithm
Other positional information and by the information transfer after identification to processor；
S04：The processor stores the positional information of vehicle sometime in real time, and is transferred to display and shows.
Further, the processor described in step S03 is PC computers, and PC computers pass through Internet and more than one
Distributed server data interaction；In the regional extent of target location, each distributed server is respectively connected with two or more
Station acquisition equipment；
The station acquisition device distribution mode is：The parallel distribution under identical height, or the rotation point under identical height
Cloth；Positional information is integrated and comprised the following steps that：
S031：The distributed server receives the raw data packets that the station acquisition equipment is collected；
S032：The distributed server is that each raw data packets write markup information, and the markup information includes
Vehicle location and temporal information and the numbering of station acquisition equipment；
S033：The distributed server sends the raw data packets and the markup information by Internet
To PC computers, the PC computers judge to be somebody's turn to do according to the device numbering in markup information, the inventory of comparison data storehouse memory storage
The positional information form of raw data packets；
S034：The PC computers are according to positional information form, call format conversion macroblock, to the raw data packets
Positional information enter row format conversion, be converted to reference format；
S035：Position data obtained by station acquisition equipment of the PC computers to rotating distribution under identical height is entered
Row is directly preserved；Position data obtained by the station acquisition equipment of parallel distribution under identical height is analyzed and processed, it is first
The position data that first there will be no repetition is directly preserved, and the position data that there will be repetition is split, intersection with it is non-
Intersection is separated, and is formed after a plurality of position data and preserved；
S036：The searched targets band of position name inputted according to user, searches for all station acquisitions in target location region
The data of equipment, extract and preserve data.
Further, the position data obtained by the station acquisition equipment of parallel distribution under identical height is entered in step S035
Line position puts comprising the following steps that for analyzing and processing：
S0351：There are the station acquisition equipment of parallel distribution under n identical height, the then position collected in the same space
Data have A1、A2、…、Ai、…、An, two groups of position datas to be analyzed are extracted by permutation and combination every time, are extracted altogetherIt is secondary；
S0352：Longitude, the latitude of two position datas to be analyzed are calculated respectively, by the data sheet in position data file
Member forms set Am{am1,am2,…,ami,…,amkAnd Al{al1,al2,…,ali,…,alk}；
S0353：Compare A successivelymThe cell cube of any one in set aliWith AlThe cell cube of each in set aliLongitude
And latitude, if similarity is higher than default threshold value, and cell cube ami-amkWith cell cube al1-al(k-i+1)In corresponding position it is similar
Degree is higher than threshold value, then extracts amiCell cube this be classified as the first cut-off rule, al(k-i)Cell cube this be classified as the second cut-off rule；
Using the first cut-off rule by position data file AmIt is divided into two position data AmAnd Aml, the second cut-off rule is by position
Data file AlIt is divided into two position data AmlAnd Al；
Location name and placement data acquisition device numbering are write into A respectivelym, AmlAnd AlIn three position data blocks, and
Preserve；
S0354：If AmThe cell cube of any one in set and AlAll position data similarities are below default in set
Threshold value, then write A by location name and placement data acquisition device numbering respectivelymAnd AlDirectly preserve afterwards.
Further, if there are two or more station acquisition equipment, and position in the target location region searched in step S036
Collecting device parallel distribution under identical height, then carry out following handle：
The position data for being labeled with the location name is extracted, data A is recognized whetherml(1≤m≤n,1≤l≤n)；If
In the presence of then extracting：Am..., Ami..., AlSpliced, preserve vehicle motion data complete after splicing；If being not present, directly
Meet extraction position data Am..., Ai..., AlSpliced, preserve vehicle motion data complete after splicing.
Further, if there is two or more station acquisition equipment in the target location region searched in step S036, and in phase
With distribution is rotated under height, then following handle is carried out：
S0361：The position data for being labeled with the location name is extracted, they are pre-processed, with denoising, processing Nogata
The mode at figure and extraction edge carries out digital processing to data, then re-creates template and carries out Data Matching, can also logarithm
According to the operation for carrying out Wavelet Transformation Algorithm or Fourier Transform Algorithm；
S0362：Registration data, the position data according to specified criterion to more than two carries out Registration of Measuring Data, selects first
The template for needing to carry out position data splicing is selected, then determines the position of those corresponding characteristic points in previous position, finally
To the transformation relation and registration of two datas；
S0363：Transformation model is set up, is obtained by the corresponding situation in the feature or template of position data in mathematical modeling
Parameter value, the model that mathematic(al) manipulation is carried out on two position datas is calculated by this；
S0364：Uniform coordinate is converted, the position data for needing to splice is transformed in the coordinate system of reference position, is realized
The unified conversion of coordinate；
S0365：Reconstruct is integrated, in the position for the region of coincidence being put into splicing reconstruct, whole vehicle fortune needed for completing
The integration of dynamic rail mark；
S0366：After reconstruct is integrated, the global motion position data of vehicle is obtained.
By adopting the above-described technical solution, the present invention has the advantage that：It can solve the problem that because position data is sent
Equipment itself error causes target to occur position data display fluctuation in the case where not moving, and then can not effectively judge target
Whether effective designated area the problem of.
Other advantages, target and the feature of the present invention will be illustrated in the following description to a certain extent, and
And to a certain extent, based on will be apparent to those skilled in the art to investigating hereafter, Huo Zheke
To be instructed from the practice of the present invention.The target and other advantages of the present invention can be wanted by following specification and right
Book is sought to realize and obtain.
Brief description of the drawings
The brief description of the drawings of the present invention is as follows：
Fig. 1 is workflow diagram of the invention.
Fig. 2 is station acquisition device distribution schematic diagram of the invention.
Fig. 3 is the schematic flow sheet of the station acquisition equipment of the present invention.
Fig. 4 is position data form flow path switch figure of the invention.
Embodiment
The invention will be further described with reference to the accompanying drawings and examples.
Embodiment 1：As shown in Figures 1 to 4；A kind of determination methods based on vehicle position data, it includes：Method is walked
It is rapid as follows：
S01：Target location regional extent is determined, regional extent includes the longitude where target location, latitude；
S02：Real-time judge vehicle position information, positional information include longitude sometime where vehicle, latitude and
Time point this moment；
S03：By the positional information real-time Transmission of vehicle to distributed server；Distributed server recognizes position by algorithm
Confidence ceases and by the information transfer after identification to processor；
S04：Processor stores the positional information of vehicle sometime in real time, and is transferred to display and shows.
Processor in step S03 is PC computers, and PC computers pass through Internet and more than one distributed clothes
Business device data interaction；In the regional extent of target location, each distributed server is respectively connected with two or more station acquisition and set
It is standby；
Station acquisition device distribution mode is：The parallel distribution under identical height, or the rotation distribution under identical height；Position
Information integration is put to comprise the following steps that：
S031：The raw data packets that distributed server receiving position collecting device is collected；
S032：Distributed server is that each raw data packets write markup information, and markup information includes vehicle location
With temporal information and the numbering of station acquisition equipment；
S033：Distributed server sends raw data packets and markup information to PC computers by Internet,
PC computers judge the position of the raw data packets according to the device numbering in markup information, the inventory of comparison data storehouse memory storage
Put information format；
S034：PC computers are believed the position of raw data packets according to positional information form, call format conversion macroblock
Cease into row format conversion, be converted to reference format；
S035：Position data obtained by station acquisition equipment of the PC computers to rotating distribution under identical height carries out straight
Connect preservation；Position data obtained by the station acquisition equipment of parallel distribution under identical height is analyzed and processed, first will
In the absence of repeat position data directly preserve, the position data that there will be repetition is split, intersection with it is non-coincidence
Part is separated, and is formed after a plurality of position data and preserved；
S036：The searched targets band of position name inputted according to user, searches for all station acquisitions in target location region
The data of equipment, extract and preserve data.
Position is carried out to the position data obtained by the station acquisition equipment of parallel distribution under identical height in step S035
What is analyzed and processed comprises the following steps that：
S0351：There are the station acquisition equipment of parallel distribution under n identical height, the then position collected in the same space
Data have A1、A2、…、Ai、…、An, two groups of position datas to be analyzed are extracted by permutation and combination every time, are extracted altogetherIt is secondary；
S0352：Longitude, the latitude of two position datas to be analyzed are calculated respectively, by the data sheet in position data file
Member forms set Am{am1,am2,…,ami,…,amkAnd Al{al1,al2,…,ali,…,alk}；
S0353：Compare A successivelymThe cell cube of any one in set aliWith AlThe cell cube of each in set aliLongitude
And latitude, if similarity is higher than default threshold value, and cell cube ami-amkWith cell cube al1-al(k-i+1)In corresponding position it is similar
Degree is higher than threshold value, then extracts amiCell cube this be classified as the first cut-off rule, al(k-i)Cell cube this be classified as the second cut-off rule；
Using the first cut-off rule by position data file AmIt is divided into two position data AmAnd Aml, the second cut-off rule is by position
Data file AlIt is divided into two position data AmlAnd Al；
Location name and placement data acquisition device numbering are write into A respectivelym, AmlAnd AlIn three position data blocks, and
Preserve；
S0354：If AmThe cell cube of any one in set and AlAll position data similarities are below default in set
Threshold value, then write A by location name and placement data acquisition device numbering respectivelymAnd AlDirectly preserve afterwards.
If there are two or more station acquisition equipment, and station acquisition equipment in the target location region searched in step S036
The parallel distribution under identical height, then carry out following handle：
The position data for being labeled with the location name is extracted, data A is recognized whetherml(1≤m≤n,1≤l≤n)；If
In the presence of then extracting：Am..., Ami..., AlSpliced, preserve vehicle motion data complete after splicing；If being not present, directly
Meet extraction position data Am..., Ai..., AlSpliced, preserve vehicle motion data complete after splicing.
If there is two or more station acquisition equipment in the target location region searched in step S036, and under identical height
Rotation distribution, then carry out following handle：
S0361：The position data for being labeled with the location name is extracted, they are pre-processed, with denoising, processing Nogata
The mode at figure and extraction edge carries out digital processing to data, then re-creates template and carries out Data Matching, can also logarithm
According to the operation for carrying out Wavelet Transformation Algorithm or Fourier Transform Algorithm；
S0362：Registration data, the position data according to specified criterion to more than two carries out Registration of Measuring Data, selects first
The template for needing to carry out position data splicing is selected, then determines the position of those corresponding characteristic points in previous position, finally
To the transformation relation and registration of two datas；
S0363：Transformation model is set up, is obtained by the corresponding situation in the feature or template of position data in mathematical modeling
Parameter value, the model that mathematic(al) manipulation is carried out on two position datas is calculated by this；
S0364：Uniform coordinate is converted, the position data for needing to splice is transformed in the coordinate system of reference position, is realized
The unified conversion of coordinate；
S0365：Reconstruct is integrated, in the position for the region of coincidence being put into splicing reconstruct, whole vehicle fortune needed for completing
The integration of dynamic rail mark；
S0366：After reconstruct is integrated, the global motion position data of vehicle is obtained.
The device have the advantages that：Can solve the problem that causes target not because position data sends equipment itself error
Occur in the case of movement position data display fluctuation, and then can not effectively judge target whether effective designated area the problem of.
Finally illustrate, the above embodiments are merely illustrative of the technical solutions of the present invention and it is unrestricted, although with reference to compared with
The present invention is described in detail good embodiment, it will be understood by those within the art that, can be to skill of the invention
Art scheme is modified or equivalent substitution, and without departing from the objective and scope of the technical program, it all should cover in the present invention
Right among.
Claims (5)
1. a kind of determination methods based on vehicle position data, it is characterised in that：Methods described step is as follows：
S01：Target location regional extent is determined, the regional extent includes the longitude where target location, latitude；
S02：Real-time judge vehicle position information, the positional information include longitude sometime where vehicle, latitude and
Time point this moment；
S03：By the positional information real-time Transmission of vehicle to distributed server；The distributed server recognizes position by algorithm
Confidence ceases and by the information transfer after identification to processor；
S04：The processor stores the positional information of vehicle sometime in real time, and is transferred to display and shows.
2. the determination methods as claimed in claim 1 based on vehicle position data, it is characterised in that：Described in step S03
Processor is PC computers, and PC computers pass through Internet and more than one distributed server data interaction；In target
In the range of the band of position, each distributed server is respectively connected with two or more station acquisition equipment；
The station acquisition device distribution mode is：The parallel distribution under identical height, or the rotation distribution under identical height；Position
Information integration is put to comprise the following steps that：
S031：The distributed server receives the raw data packets that the station acquisition equipment is collected；
S032：The distributed server is that each raw data packets write markup information, and the markup information includes vehicle
Position and temporal information and the numbering of station acquisition equipment；
S033：The distributed server sends the raw data packets and the markup information to PC by Internet
Computer, the PC computers judge that this is original according to the device numbering in markup information, the inventory of comparison data storehouse memory storage
The positional information form of packet；
S034：The PC computers are according to positional information form, call format conversion macroblock, to the position of the raw data packets
Confidence is ceased into row format conversion, is converted to reference format；
S035：Position data obtained by station acquisition equipment of the PC computers to rotating distribution under identical height carries out straight
Connect preservation；Position data obtained by the station acquisition equipment of parallel distribution under identical height is analyzed and processed, first will
In the absence of repeat position data directly preserve, the position data that there will be repetition is split, intersection with it is non-coincidence
Part is separated, and is formed after a plurality of position data and preserved；
S036：The searched targets band of position name inputted according to user, searches for all station acquisition equipment in the target location region
Data, extract and preserve data.
3. the determination methods as claimed in claim 2 based on vehicle position data, it is characterised in that：To identical in step S035
Position data obtained by the station acquisition equipment of parallel distribution under height carries out comprising the following steps that for position analysis processing：
S0351：There are the station acquisition equipment of parallel distribution under n identical height, the then position data collected in the same space
There is A1、A2、…、Ai、…、An, two groups of position datas to be analyzed are extracted by permutation and combination every time, are extracted altogetherIt is secondary；
S0352：Longitude, the latitude of two position datas to be analyzed are calculated respectively, by the data cell shape in position data file
Into set Am{am1,am2,…,ami,…,amkAnd Al{al1,al2,…,ali,…,alk}；
S0353：Compare A successivelymThe cell cube of any one in set aliWith AlThe cell cube of each in set aliLongitude and latitude
Degree, if similarity is higher than default threshold value, and cell cube ami-amkWith cell cube al1-al(k-i+1)In corresponding location similarity it is high
In threshold value, then a is extractedmiCell cube this be classified as the first cut-off rule, al(k-i)Cell cube this be classified as the second cut-off rule；
Using the first cut-off rule by position data file AmIt is divided into two position data AmAnd Aml, the second cut-off rule is by position data
File AlIt is divided into two position data AmlAnd Al；
Location name and placement data acquisition device numbering are write into A respectivelym, AmlAnd AlIn three position data blocks, and preserve；
S0354：If AmThe cell cube of any one in set and AlAll position data similarities are below default threshold in set
Value, then write A by location name and placement data acquisition device numbering respectivelymAnd AlDirectly preserve afterwards.
4. the determination methods as claimed in claim 2 based on vehicle position data, it is characterised in that：If being searched in step S036
Target location region have two or more station acquisition equipment, and the parallel distribution under identical height of station acquisition equipment, then
Carry out following handle：
The position data for being labeled with the location name is extracted, data A is recognized whetherml(1≤m≤n,1≤l≤n)；If depositing
Then extracting：Am..., Ami..., AlSpliced, preserve vehicle motion data complete after splicing；If being not present, directly
Extract position data Am..., Ai..., AlSpliced, preserve vehicle motion data complete after splicing.
5. the determination methods as claimed in claim 2 based on vehicle position data, it is characterised in that：If being searched in step S036
Target location region have two or more station acquisition equipment, and rotate distribution under identical height, then carry out following handle：
S0361：Extract and be labeled with the position data of the location name, they are pre-processed, with denoising, handle histogram and
The mode for extracting edge carries out digital processing to data, then re-creates template and carries out Data Matching, data can also be entered
The operation of row Wavelet Transformation Algorithm or Fourier Transform Algorithm；
S0362：Registration data, the position data according to specified criterion to more than two carries out Registration of Measuring Data, and selection first is needed
The template of position data splicing is carried out, then determines the position of those corresponding characteristic points in previous position, to finally obtain two
The transformation relation and registration of data；
S0363：Transformation model is set up, parameter in mathematical modeling is obtained by the corresponding situation in the feature or template of position data
Value, the model that mathematic(al) manipulation is carried out on two position datas is calculated by this；
S0364：Uniform coordinate is converted, the position data for needing to splice is transformed in the coordinate system of reference position, coordinate is realized
Unified conversion；
S0365：Reconstruct is integrated, in the position for the region of coincidence being put into splicing reconstruct, whole vehicle movement rail needed for completing
The integration of mark；
S0366：After reconstruct is integrated, the global motion position data of vehicle is obtained.
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| CN201710486157.3A CN107221184A (en) | 2017-06-23 | 2017-06-23 | A kind of determination methods based on vehicle position data |
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| CN201710486157.3A CN107221184A (en) | 2017-06-23 | 2017-06-23 | A kind of determination methods based on vehicle position data |
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| CN109507700A (en) * | 2018-11-20 | 2019-03-22 | 南京华苏科技有限公司 | A method of vehicle is searched in specified region |
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| CN102779423A (en) * | 2012-07-30 | 2012-11-14 | 南京信息工程大学 | Bus running state supervision stop board, query system and working methods thereof |
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Application publication date: 20170929 |