CN115837926A - GPS data and kilometer post mapping method, system, device and storage medium - Google Patents
GPS data and kilometer post mapping method, system, device and storage medium Download PDFInfo
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- CN115837926A CN115837926A CN202211458537.3A CN202211458537A CN115837926A CN 115837926 A CN115837926 A CN 115837926A CN 202211458537 A CN202211458537 A CN 202211458537A CN 115837926 A CN115837926 A CN 115837926A
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Abstract
The invention discloses a method, a system and a device for mapping GPS data and kilometer posts and a storage medium, and relates to the field of train control. In the scheme, a kilometer post-GPS mapping prediction model is established based on the mapping relation between the kilometer posts and GPS data of each station, so that the mapping relation between the kilometer posts and the predicted GPS data of each working condition generated by the kilometer post-GPS mapping prediction model is obtained, and then the GPS-kilometer post mapping prediction model is established, so that real-time GPS data sent by a train is substituted into the GPS-kilometer post mapping prediction model, and the real-time kilometer posts corresponding to the real-time GPS data are determined. Therefore, the model for determining the corresponding kilometer post through the GPS data is established in the application, and the real-time kilometer post can be determined through the real-time GPS data during the subsequent running of the train so as to determine whether the train is about to run to the corresponding working condition or not, so that the stability of the train is controlled in advance.
Description
Technical Field
The invention relates to the field of train control, in particular to a method, a system, a device and a storage medium for mapping GPS data and kilometer posts.
Background
When a train runs on a track, the position data issued to the ground is usually GPS (Global Positioning System) data, but the line information of various working conditions on the track line is usually marked with kilometer markings, such as tunnels, bridges, switches and the like on the track line. When the train runs to different working conditions, the vehicle may have a fault that affects the running of the vehicle, such as vehicle shaking or vehicle instability, but because the fault can not be determined whether the train runs to different working conditions according to the GPS data sent by the train, the train cannot be stably controlled before the train runs to the corresponding working conditions.
Disclosure of Invention
The invention aims to provide a method, a system, a device and a storage medium for mapping GPS data and kilometer posts, which are used for establishing a model for determining the corresponding kilometer posts through the GPS data, and determining the real-time kilometer posts through real-time GPS data during train operation subsequently so as to determine whether a train is about to operate to a corresponding working condition or not, thereby performing stability control on the train in advance.
In order to solve the technical problem, the invention provides a mapping method of GPS data and kilometers posts, which comprises the following steps:
establishing a kilometer post-GPS mapping prediction model based on the mapping relation between the kilometer posts of each station and GPS data;
substituting the kilometers of each working condition into the kilometer sign-GPS mapping prediction model, acquiring predicted GPS data of each working condition generated by the kilometer sign-GPS mapping prediction model, and determining the mapping relation between the kilometer sign of each working condition and the predicted GPS data;
establishing a GPS-kilometer post mapping prediction model based on the mapping relation between the kilometer posts of each station and GPS data and the mapping relation between the kilometer posts of each working condition and predicted GPS data;
and substituting real-time GPS data sent by the train into the GPS-kilometer post mapping prediction model to determine a real-time kilometer post corresponding to the real-time GPS data.
Preferably, before the step of establishing the GPS-kilometer sign mapping prediction model based on the mapping relationship between the kilometer sign and the GPS data of each station and the mapping relationship between the kilometer sign and the predicted GPS data of each working condition, the method further includes:
acquiring real-time correction GPS data sent by a train when the train runs on a track line;
correcting each of the predicted GPS data based on each of the real-time corrected GPS data;
and determining the mapping relation between the corrected kilometer post of each working condition and the predicted GPS data.
Preferably, correcting each of said predicted GPS data based on each of said real-time corrected GPS data comprises:
respectively carrying out Euclidean distance calculation on each predicted GPS data and each real-time corrected GPS data;
determining each real-time GPS data to be corrected in each real-time corrected GPS data with the calculation result between the real-time corrected GPS data and each predicted GPS data being the minimum value; the predicted GPS data corresponds to the real-time GPS data to be corrected one by one;
and correcting the predicted GPS data one by one on the basis of the real-time GPS data to be corrected.
Preferably, after the GPS-kilometer sign mapping prediction model is established based on the mapping relationship between the kilometer sign and the GPS data of each station and the mapping relationship between the kilometer sign and the predicted GPS data of each working condition, the method further includes:
determining the positioning times of the real-time correction GPS data sent by the train in a preset road section and the positioning quantity of kilometer posts in the preset road section;
and if the positioning times are more than the positioning quantity, substituting each real-time correction GPS data in the preset road section into the GPS-kilometer post mapping prediction model to generate each interpolation kilometer post and inserting the interpolation kilometer post into the preset road section.
Preferably, after determining the number of times of the positioning of the train for transmitting the real-time corrected GPS data in a preset road segment and the number of positioning of kilometers posts in the preset road segment, the method further includes:
and if the positioning times are less than the positioning quantity, setting a kilometer post corresponding to a plurality of GPS data in the preset road section in the GPS-kilometer post mapping prediction model.
Preferably, after the GPS-kilometer sign mapping prediction model is established based on the mapping relationship between the kilometer sign and the GPS data of each station and the mapping relationship between the kilometer sign and the predicted GPS data of each working condition, the method further includes:
acquiring each piece of tuning sample GPS data sent when a train runs on a track line;
determining sample kilometer posts corresponding to the GPS data of the tuning samples respectively;
carrying out tuning processing on the GPS-kilometer post mapping prediction model based on the mapping relation between the tuning sample GPS data and the sample kilometer posts to generate an optimized GPS-kilometer post mapping prediction model;
substituting real-time GPS data sent by the train into the GPS-kilometer post mapping prediction model to determine a real-time kilometer post corresponding to the real-time GPS data, comprising:
and substituting real-time GPS data sent by the train into the optimized GPS-kilometer post mapping prediction model to determine a real-time kilometer post corresponding to the real-time GPS data.
Preferably, substituting real-time GPS data sent by the train into the optimized GPS-kilometer sign mapping prediction model to determine a real-time kilometer sign corresponding to the real-time GPS data includes:
substituting real-time GPS data sent by the train into the optimized GPS-kilometer post mapping prediction model to determine a first real-time kilometer post corresponding to the real-time GPS data;
substituting real-time GPS data sent by the train into the GPS-kilometer post mapping prediction model to determine a second real-time kilometer post corresponding to the real-time GPS data;
determining the real-time kilometer post based on the first and second kilometer posts.
In order to solve the above technical problem, the present invention provides a GPS data and kilometer post mapping system, including:
the first establishing unit is used for establishing a kilometer post-GPS mapping prediction model based on the mapping relation between the kilometer posts and GPS data of each station;
the acquisition unit is used for substituting the kilometers of each working condition into the kilometer sign-GPS mapping prediction model, acquiring predicted GPS data of each working condition generated by the kilometer sign-GPS mapping prediction model, and determining the mapping relation between the kilometers of each working condition and the predicted GPS data;
the second establishing unit is used for establishing a GPS-kilometer post mapping prediction model based on the mapping relation between the kilometer posts of each station and GPS data and the mapping relation between the kilometer posts of each working condition and predicted GPS data;
and the determining unit is used for substituting the real-time GPS data sent by the train into the GPS-kilometer post mapping prediction model so as to determine the real-time kilometer posts corresponding to the real-time GPS data.
In order to solve the above technical problem, the present invention provides a GPS data and kilometer post mapping device, including:
a memory for storing a computer program;
and the processor is used for realizing the steps of the GPS data and kilometer post mapping method when the computer program is executed.
In order to solve the above technical problem, the present invention provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when being executed by a processor, the computer program implements the steps of the GPS data and kilometer sign mapping method as described above.
The application provides a method, a system, a device and a storage medium for mapping GPS data and kilometer posts, and relates to the field of train control. In the scheme, a kilometer post-GPS mapping prediction model is established based on the mapping relation between the kilometer posts and GPS data of each station, so that the mapping relation between the kilometer posts and the predicted GPS data of each working condition generated by the kilometer post-GPS mapping prediction model is obtained, and then the GPS-kilometer post mapping prediction model is established, so that real-time GPS data sent by a train is substituted into the GPS-kilometer post mapping prediction model, and the real-time kilometer posts corresponding to the real-time GPS data are determined. Therefore, the model for determining the corresponding kilometer post through the GPS data is established in the application, and the real-time kilometer post can be determined through the real-time GPS data during the subsequent running of the train so as to determine whether the train is about to run to the corresponding working condition or not, so that the stability of the train is controlled in advance.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed in the prior art and the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for mapping GPS data and kilometers posts provided by the present invention;
FIG. 2 is a schematic diagram of a GPS data and kilometer post mapping system according to the present invention;
fig. 3 is a schematic structural diagram of a GPS data and kilometer post mapping device according to the present invention.
Detailed Description
The core of the invention is to provide a method, a system, a device and a storage medium for mapping GPS data and kilometer posts, wherein a model for determining the corresponding kilometer posts through the GPS data is established, and then the real-time kilometer posts can be determined through the real-time GPS data when a train runs so as to determine whether the train is about to run to a corresponding working condition or not, thereby controlling the stability of the train in advance.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for mapping GPS data and kilometers posts provided by the present invention, the method including:
s11: establishing a kilometer post-GPS mapping prediction model based on the mapping relation between the kilometer posts of each station and GPS data;
in the prior art, when a train is positioned on a track line, the train is positioned through GPS data, but each position on the track line is generally positioned by a kilometer post, so that a ground system cannot determine which position of the train on the track after receiving the GPS data sent by the train, cannot determine whether the train is about to run to a certain working condition for prediction, and cannot avoid the condition that the train cannot stably run due to the fact that the train runs to the corresponding working condition. For example, when a train runs on a bridge, the train body may shake, which results in a reduction in riding experience of passengers, but in the prior art, it is impossible to determine in advance whether the train is about to run on the bridge or not, and it is also impossible to control in advance whether the train runs stably on the bridge.
In order to solve the technical problems, a kilometer post-GPS mapping model is established according to the mapping relation between the kilometer posts of the stations and GPS data, the kilometer posts of each station can be acquired through a road bureau, the GPS data of the stations can be acquired by importing the information of each station of the Chinese high-speed rail through Bigmap GIS Office, and the mapping relation between the kilometer posts of the stations and the GPS data is known. After the kilometer post-GPS mapping prediction model is established based on the known mapping relation between the kilometer post of the station and the GPS data, the kilometer post of the station is input into the kilometer post-GPS mapping prediction model to obtain the GPS data of the station, namely the kilometer post-GPS mapping prediction model can obtain the corresponding GPS data when the kilometer post of the station is known.
S12: substituting the kilometers of each working condition into the kilometer sign-GPS mapping prediction model, acquiring predicted GPS data of each working condition generated by the kilometer sign-GPS mapping prediction model, and determining the mapping relation between the kilometers of each working condition and the predicted GPS data;
after the kilometer post-GPS mapping prediction model is established, the kilometer posts of all working conditions are substituted into the kilometer post-GPS mapping prediction model to obtain predicted GPS data corresponding to the kilometer posts of the working conditions, namely after the kilometer post-GPS mapping prediction model is trained through the mapping relation between the kilometer posts and the GPS data of the station, the kilometer posts can be input into the kilometer post-GPS mapping prediction model to obtain the predicted GPS data corresponding to the kilometer posts.
Correspondingly, the kilometer post of the working condition can be obtained by a road bureau, such as the kilometer post of the working conditions of bridges, uphill and downhill, tunnels, turning and the like.
S13: establishing a GPS-kilometer post mapping prediction model based on the mapping relation between the kilometer posts of each station and GPS data and the mapping relation between the kilometer posts of each working condition and predicted GPS data;
after the mapping relation between the kilometer post of the working condition and the GPS data is determined and the mapping relation between the kilometer post of the station and the GPS data is known, a GPS-kilometer post mapping prediction model is established, namely the GPS data can be input, so that the kilometer post model is generated.
Based on the method, the GPS-kilometer post mapping prediction model is trained through the mapping relation between the kilometer posts of the working conditions and the GPS data and the mapping relation between the kilometer posts of the stations and the GPS data, and the known kilometer posts corresponding to the GPS data can be determined through the GPS-kilometer post mapping prediction model.
S14: and substituting the real-time GPS data sent by the train into the GPS-kilometer post mapping prediction model to determine the real-time kilometer posts corresponding to the real-time GPS data.
After the GPS-kilometer post mapping prediction model is trained, when a train runs on a track line and sends GPS data, the current real-time GPS data of the train is substituted into the GPS-kilometer post mapping prediction model, the kilometer post of the current position of the train can be determined, and therefore whether the train is about to run into a corresponding working condition or not is determined in advance, and stability control is conducted on the train in advance.
If the real-time kilometer post of the train is determined according to the current real-time GPS data of the train, the train is determined to be about to drive into the bridge, and in order to avoid the train from shaking when the train runs on the bridge, the stability control can be performed on the train in advance according to the running condition of the train on the bridge, for example, the closed-loop negative feedback control can be performed on the train, so that the train can still be kept stable after the train runs to the bridge.
It should be noted that the kilometer sign-GPS mapping prediction model is a model for obtaining GPS data (including longitude data and latitude data) by inputting one kilometer sign, and the kilometer sign model is obtained by the GPS-kilometer sign mapping prediction model without inputting GPS data.
In conclusion, the model for determining the corresponding kilometer posts through the GPS data is established in the application, and the real-time kilometer posts can be determined through the real-time GPS data during the subsequent running of the train so as to determine whether the train is about to run to the corresponding working condition or not, so that the stability of the train is controlled in advance.
On the basis of the above-described embodiment:
as a preferred embodiment, before the establishing of the GPS-kilometer sign mapping prediction model based on the mapping relationship between the kilometer signs and the GPS data of each station and the mapping relationship between the kilometer signs and the predicted GPS data of each operating condition, the method further includes:
acquiring each real-time correction GPS data sent when a train runs on a track line;
correcting each predicted GPS data based on each real-time corrected GPS data;
and determining the mapping relation between the corrected kilometer post of each working condition and the predicted GPS data.
In this embodiment, it is considered that the kilometer post-GPS mapping prediction model is trained based on a mapping relationship between a kilometer post of a station and GPS data, but the number of operating conditions on a track line is large, and the GPS data obtained after substituting the kilometer post of the operating condition into the kilometer post-GPS mapping prediction model may have errors, for example, the GPS data is before the position of the kilometer post, which may cause the GPS-kilometer post mapping prediction model trained later, and the obtained kilometer post may be after the kilometer post corresponding to actual GPS data, which may cause a train to enter stability control in advance, resulting in a decrease in the operating efficiency of the train.
In order to solve the above technical problem, in this embodiment, the train is controlled to run on the track line, and positioning is performed to obtain each real-time corrected GPS data during the running of the train, so as to correct each predicted GPS data, and to correspond the GPS data to the position of the kilometer post more accurately, so as to perform stability control more accurately.
After each piece of predicted GPS data is corrected, the corrected kilometer post of each working condition and the mapping information of the predicted GPS data are determined, so that a more accurate GPS-kilometer post mapping prediction model can be trained, and a more accurate kilometer post can be obtained based on the GPS data of the train.
As a preferred embodiment, correcting the respective predicted GPS data based on the respective real-time corrected GPS data includes:
performing Euclidean distance calculation on each predicted GPS data and each real-time corrected GPS data respectively;
determining each real-time GPS data to be corrected in each real-time correction GPS data with the calculation result between the real-time correction GPS data and each prediction GPS data being the minimum value; predicting that the GPS data corresponds to the real-time GPS data to be corrected one by one;
and correcting the predicted GPS data based on the real-time GPS data to be corrected in a one-to-one correspondence mode.
In this embodiment, when correcting each piece of predicted GPS data, specifically, the european distance calculation is performed on each piece of predicted GPS data and each piece of real-time corrected GPS data, so as to determine the real-time GPS data to be corrected corresponding to each piece of predicted GPS data, thereby correcting the predicted GPS data.
For example, after a train runs on a track line, 100 pieces of real-time corrected GPS data are generated, and 10 pieces of predicted GPS data are generated, euclidean distance calculation is performed on the first piece of predicted GPS data and the 100 pieces of real-time corrected GPS data, the real-time corrected GPS data with the minimum calculation result between the 100 pieces of real-time corrected GPS data and the first piece of predicted GPS data is determined, the real-time corrected GPS data is to-be-corrected real-time GPS data corresponding to the first piece of predicted GPS data, and the first piece of predicted GPS data is corrected based on the to-be-corrected real-time GPS data; and then, performing Euclidean distance calculation on the second predicted GPS data and the 100 real-time corrected GPS data, determining the real-time corrected GPS data with the calculation result between the 100 real-time corrected GPS data and the second predicted GPS data as the minimum value, wherein the real-time corrected GPS data is the to-be-corrected real-time GPS data corresponding to the second predicted GPS data, correcting the second predicted GPS data based on the to-be-corrected real-time GPS data, and performing correction on the 10 predicted GPS data respectively by analogy.
When the train runs on the track line, real-time correction GPS data can be generated every preset distance, and the smaller the preset distance is, the more accurate the result of correcting each predicted GPS data is.
As a preferred embodiment, after the GPS-kilometer post mapping prediction model is established based on the mapping relationship between the kilometer posts of each station and the GPS data and the mapping relationship between the kilometer posts of each operating condition and the predicted GPS data, the method further includes:
determining the positioning times of the train for transmitting real-time correction GPS data in a preset road section and the positioning quantity of kilometer posts in the preset road section;
and if the positioning times are more than the positioning number, substituting each real-time correction GPS data in the preset road section into the GPS-kilometer post mapping prediction model to generate each interpolation kilometer post and inserting the interpolation kilometer post into the preset road section.
In consideration of the fact that a road condition possibly existing in a section of preset road section is relatively stable in the prior art, the number of kilometer posts arranged on the preset road section is possibly small, if a real-time correction GPS data is sent every other preset distance when a train runs on a railway line, but the distance of the preset road section is far greater than the preset distance, the kilometer posts corresponding to the GPS data are inconvenient to determine in the preset road section, and the specific position of the train on the railway line cannot be accurately positioned.
In this embodiment, in order to solve the above technical problem, if the number of times of positioning of the real-time GPS generated in the preset road segment is greater than the number of positioning of the kilometer posts in the preset road segment, inserting the kilometer posts in the preset road segment to correspond to the real-time GPS data.
Specifically, for example, in a preset road segment, the number of times of positioning that the train sends the real-time corrected GPS data is 10, and the number of positioning of the kilometer posts of the preset road segment is only two, in this embodiment, the 10 real-time corrected GPS data in the preset road segment are substituted into the GPS-kilometer post mapping prediction model to generate corresponding interpolated kilometer posts, and the interpolated kilometer posts are inserted into the preset road segment, so as to ensure that the preset road segment includes the kilometer posts corresponding to each real-time corrected GPS data, so as to perform more accurate positioning on the train.
And the interpolated kilometer scale may be defined as a curve or the like in the track line.
As a preferred embodiment, after determining the number of times that the train transmits the location of the real-time corrected GPS data within the preset road segment and the number of locations of the kilometer posts within the preset road segment, the method further includes:
and if the positioning times are less than the positioning quantity, setting that a plurality of GPS data positioned in a preset road section in the GPS-kilometer post mapping prediction model correspond to one kilometer post.
If the number of times of sending the real-time corrected GPS data in the preset road section is less than the number of times of sending the real-time corrected GPS data in the preset road section, the plurality of pieces of GPS data may correspond to one kilometer sign, if the number of times of sending the real-time corrected GPS data in the preset road section is 10 times, and the number of times of sending the real-time corrected GPS data in the preset road section is 20, the first kilometer sign may correspond to two pieces of real-time corrected GPS data closest to the first kilometer sign, and the second kilometer sign may correspond to two pieces of real-time corrected GPS data closest to the second kilometer sign, so that the plurality of pieces of real-time corrected GPS data may correspond to one kilometer sign.
As a preferred embodiment, after the GPS-kilometer sign mapping prediction model is established based on the mapping relationship between the kilometer signs and the GPS data of each station and the mapping relationship between the kilometer signs and the predicted GPS data of each operating condition, the method further includes:
acquiring each piece of tuning sample GPS data sent when a train runs on a track line;
determining sample kilometer posts corresponding to the GPS data of each tuning sample;
optimizing the GPS-kilometer post mapping prediction model based on the mapping relation between the optimized sample GPS data and the sample kilometer posts to generate an optimized GPS-kilometer post mapping prediction model;
substituting real-time GPS data sent by the train into the GPS-kilometer post mapping prediction model to determine a real-time kilometer post corresponding to the real-time GPS data, comprising:
and substituting the real-time GPS data sent by the train into the optimized GPS-kilometer post mapping prediction model to determine the real-time kilometer post corresponding to the real-time GPS data.
In the embodiment, considering that the GPS-kilometer post mapping prediction model is trained by using the mapping relationship between the kilometer posts and the GPS data of the working conditions and the mapping relationship between the kilometer posts and the GPS data of the stations, training samples are fewer, and the GPS-kilometer post mapping prediction model may also have mapping errors, in order to further ensure the accuracy of the finally determined real-time kilometer posts of the real-time GPS data, the tuning and optimizing of the GPS-kilometer post mapping prediction model by using the optimized sample GPS data and the corresponding sample kilometer posts is added, and the optimized GPS-kilometer post mapping prediction model is generated, so that the real-time GPS data sent by the train is substituted into the optimized GPS-kilometer post mapping prediction model to determine the real-time kilometer posts corresponding to the more accurate real-time GPS data, and thus more accurate positioning of the train is realized.
As a preferred embodiment, substituting real-time GPS data sent by a train into the optimized GPS-kilometer sign mapping prediction model to determine a real-time kilometer sign corresponding to the real-time GPS data includes:
substituting real-time GPS data sent by the train into the optimized GPS-kilometer post mapping prediction model to determine a first real-time kilometer post corresponding to the real-time GPS data;
substituting real-time GPS data sent by the train into the GPS-kilometer post mapping prediction model to determine a second real-time kilometer post corresponding to the real-time GPS data;
a real-time kilometer post is determined based on the first and second kilometer posts.
In this embodiment, in consideration of a certain subjectivity in obtaining the optimized sample GPS data, all the finally obtained real-time kilometers posts may have some errors, and therefore, the real-time kilometer posts are determined based on the optimized GPS-kilometer post mapping prediction model and the optimized GPS-kilometer post mapping prediction model, for example, the first kilometer post and the second kilometer post are subjected to averaging calculation to determine the more accurate real-time kilometer posts corresponding to the real-time GPS data.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a GPS data and kilometer post mapping system provided by the present invention, including:
the first establishing unit 21 is configured to establish a kilometer post-GPS mapping prediction model based on a mapping relationship between the kilometer posts and GPS data of each station;
the obtaining unit 22 is configured to substitute the kilometer posts of each working condition into the kilometer post-GPS mapping prediction model, obtain predicted GPS data of each working condition generated by the kilometer post-GPS mapping prediction model, and determine a mapping relationship between the kilometer posts of each working condition and the predicted GPS data;
the second establishing unit 23 is configured to establish a GPS-kilometer sign mapping prediction model based on a mapping relationship between the kilometer signs and GPS data of each station and a mapping relationship between the kilometer signs and predicted GPS data of each working condition;
and the determining unit 24 is configured to substitute the real-time GPS data sent by the train into the GPS-kilometer sign mapping prediction model to determine a real-time kilometer sign corresponding to the real-time GPS data.
For the introduction of the GPS data and kilometer post mapping system provided by the present invention, please refer to the above method embodiment, which is not repeated herein.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a GPS data and kilometer post mapping device provided in the present invention, the device includes:
a memory 31 for storing a computer program;
the processor 32 is configured to implement the steps of the above-mentioned GPS data and kilometer sign mapping method when executing the computer program.
For the introduction of the GPS data and kilometer post mapping device provided by the present invention, please refer to the above method embodiment, which is not repeated herein.
The computer readable storage medium of the present invention stores a computer program, and the computer program when executed by a processor implements the steps of the above-mentioned GPS data and kilometer post mapping method.
For the introduction of the computer-readable storage medium provided by the present invention, please refer to the above method embodiments, which are not repeated herein.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A GPS data and kilometer post mapping method is characterized by comprising the following steps:
establishing a kilometer post-GPS mapping prediction model based on the mapping relation between the kilometer posts of each station and GPS data;
substituting the kilometers of each working condition into the kilometer sign-GPS mapping prediction model, acquiring predicted GPS data of each working condition generated by the kilometer sign-GPS mapping prediction model, and determining the mapping relation between the kilometer sign of each working condition and the predicted GPS data;
establishing a GPS-kilometer post mapping prediction model based on the mapping relation between the kilometer post and the GPS data of each station and the mapping relation between the kilometer post and the predicted GPS data of each working condition;
and substituting real-time GPS data sent by the train into the GPS-kilometer post mapping prediction model to determine a real-time kilometer post corresponding to the real-time GPS data.
2. The method as claimed in claim 1, wherein before the step of establishing the GPS-kilometer post mapping prediction model based on the mapping relationship between the kilometer post and the GPS data of each station and the mapping relationship between the kilometer post and the predicted GPS data of each working condition, the method further comprises:
acquiring real-time correction GPS data sent by a train when the train runs on a track line;
correcting each of the predicted GPS data based on each of the real-time corrected GPS data;
and determining the mapping relation between the corrected kilometer post of each working condition and the predicted GPS data.
3. The method of claim 2 wherein said correcting each of said predicted GPS data based on each of said real time corrected GPS data comprises:
respectively carrying out Euclidean distance calculation on each predicted GPS data and each real-time corrected GPS data;
determining each real-time GPS data to be corrected in each real-time correction GPS data with the calculation result between the real-time correction GPS data and each prediction GPS data being the minimum value; the predicted GPS data corresponds to the real-time GPS data to be corrected one by one;
and correcting the predicted GPS data one by one on the basis of the real-time GPS data to be corrected.
4. The method as claimed in claim 2, wherein after the GPS-kilometer post mapping prediction model is established based on the mapping relationship between the kilometer post and the GPS data of each station and the mapping relationship between the kilometer post and the predicted GPS data of each operating condition, the method further comprises:
determining the positioning times of the real-time correction GPS data sent by the train in a preset road section and the positioning quantity of kilometer posts in the preset road section;
and if the positioning times are more than the positioning quantity, substituting each real-time correction GPS data in the preset road section into the GPS-kilometer post mapping prediction model to generate each interpolation kilometer post and inserting the interpolation kilometer post into the preset road section.
5. The method as claimed in claim 4, wherein determining the number of positioning times that the train transmits the real-time corrected GPS data within a predetermined section of road and after determining the number of positioning times of the kilometer post within the predetermined section of road, further comprises:
and if the positioning times are less than the positioning quantity, setting a kilometer post corresponding to a plurality of GPS data in the preset road section in the GPS-kilometer post mapping prediction model.
6. The method as claimed in any one of claims 1 to 5, wherein after the step of establishing the GPS-kilometer post mapping prediction model based on the mapping relationship between the kilometer post and the GPS data of each station and the mapping relationship between the kilometer post and the predicted GPS data of each working condition, the method further comprises the steps of:
acquiring each piece of tuning sample GPS data sent when a train runs on a track line;
determining sample kilometer posts corresponding to the GPS data of the tuning samples respectively;
carrying out tuning processing on the GPS-kilometer post mapping prediction model based on the mapping relation between the tuning sample GPS data and the sample kilometer posts to generate an optimized GPS-kilometer post mapping prediction model;
substituting real-time GPS data sent by the train into the GPS-kilometer post mapping prediction model to determine a real-time kilometer post corresponding to the real-time GPS data, comprising:
and substituting real-time GPS data sent by the train into the optimized GPS-kilometer post mapping prediction model to determine a real-time kilometer post corresponding to the real-time GPS data.
7. The method as claimed in claim 6, wherein the step of substituting the real-time GPS data sent by the train into the optimized GPS-kilometer sign mapping prediction model to determine the real-time kilometer signs corresponding to the real-time GPS data comprises:
substituting real-time GPS data sent by the train into the optimized GPS-kilometer post mapping prediction model to determine a first real-time kilometer post corresponding to the real-time GPS data;
substituting real-time GPS data sent by the train into the GPS-kilometer post mapping prediction model to determine a second real-time kilometer post corresponding to the real-time GPS data;
determining the real-time kilometer post based on the first and second kilometer posts.
8. A GPS data and kilometer post mapping system, comprising:
the first establishing unit is used for establishing a kilometer post-GPS mapping prediction model based on the mapping relation between the kilometer posts and GPS data of each station;
the acquisition unit is used for substituting the kilometers of each working condition into the kilometer sign-GPS mapping prediction model, acquiring predicted GPS data of each working condition generated by the kilometer sign-GPS mapping prediction model, and determining the mapping relation between the kilometers of each working condition and the predicted GPS data;
the second establishing unit is used for establishing a GPS-kilometer post mapping prediction model based on the mapping relation between the kilometer posts of each station and GPS data and the mapping relation between the kilometer posts of each working condition and predicted GPS data;
and the determining unit is used for substituting the real-time GPS data sent by the train into the GPS-kilometer post mapping prediction model so as to determine the real-time kilometer posts corresponding to the real-time GPS data.
9. A GPS data and kilometer post mapping device, characterized by that, includes:
a memory for storing a computer program;
a processor for implementing the steps of the GPS data to kilometer post mapping method as claimed in any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, carries out the steps of the GPS data to kilometer post mapping method as recited in any of claims 1 to 7.
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