CN113753095B - Train wheelbase sequence information resolving method - Google Patents
Train wheelbase sequence information resolving method Download PDFInfo
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- CN113753095B CN113753095B CN202111235810.1A CN202111235810A CN113753095B CN 113753095 B CN113753095 B CN 113753095B CN 202111235810 A CN202111235810 A CN 202111235810A CN 113753095 B CN113753095 B CN 113753095B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L1/00—Devices along the route controlled by interaction with the vehicle or vehicle train, e.g. pedals
- B61L1/16—Devices for counting axles; Devices for counting vehicles
- B61L1/162—Devices for counting axles; Devices for counting vehicles characterised by the error correction
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L1/00—Devices along the route controlled by interaction with the vehicle or vehicle train, e.g. pedals
- B61L1/16—Devices for counting axles; Devices for counting vehicles
- B61L1/169—Diagnosis
Abstract
The invention discloses a train wheelbase sequence information resolving method, which comprises the following steps: clustering wheelbase; primarily identifying the wheelbase; correcting the wheelbase identification result; train carriage number identification and carriage total number calculation; wheelbase-car matching query. The method is suitable for analyzing the wheelbase sequence information of various vehicle types, and standard reference values of the wheelbases are not required to be known in advance; the wheelbase analysis process does not need to set a wheelbase matching threshold value, so that the occurrence of the situation of misidentification of the wheelbase when the wheelbase sequence information is abnormal due to vehicle speed change is avoided; when the wheelbase sequence information is abnormal, the wheelbase automatic identification correction can be carried out through the wheelbase sequence information close to the normal wheelbase; the axle distance of the bogie, the axle distance between the bogies and the axle distance at the connecting position of the carriage can be automatically identified; the correct analysis of the number of locomotives and the number of carriages can be realized; the accurate matching of the wheel track information and the carriage can be realized; the position of the train corresponding to any wheelbase sequence number can be inquired in a table look-up mode.
Description
Technical Field
The invention belongs to the technical field of railway train vision measurement, and particularly relates to a train wheelbase sequence information resolving method.
Background
In recent years, along with the rapid development of the rail transit industry in China, the detection requirement for ensuring the safe operation of the train is continuously improved, the detection of key parts of the train by the railway department in China is mainly dependent on manual experience for a long time, even if various automatic detection devices are added, the function of assisting in detecting and judging anomalies by manual detection is also realized, the automatic detection and intelligent detection in the true sense are not completely realized, the traditional detection mode often has the problems of poor precision, low efficiency, high false alarm rate and the like, and serious potential safety hazards are brought to the operation of the train, so the intelligent detection for realizing the rail transit field is an urgent need for the railway development in China currently. In the dynamic detection process of the train, the position information of the key parts of the train is mainly sequence information, the accurate matching positioning with the preassembled parts of the train body is performed based on the relative position sequence information of the key parts of the train body, the basis of the subsequent fault detection and geometric dimension measurement of the key parts is the basis, the time sequence information of the wheelbase of the train is taken as an example, the accurate matching of the wheelbase of the whole train carriage is performed based on the time sequence information of the train, and the premise of the detection of the bogie area and the measurement task of the wheelset is performed, so that the accurate solution based on the time sequence information of the wheelbase has important significance for the relevant measurement task of the train.
The wheel base information of the train is obtained by installing two wheel sensors (magnetic steels) with known distance on the inner side of a track, calculating the train speed through the trigger time difference generated by the same wheel continuously passing through the two sensors, multiplying the time difference generated by the adjacent wheels when passing through the same magnetic steel by the train speed to obtain the wheel base information, and finally obtaining the wheel base time sequence information of the whole train through continuous acquisition and measurement. The existing method for resolving the wheelbase sequence information mainly comprises the steps of presetting different wheelbase standard reference values corresponding to different vehicle types, then comparing through setting corresponding threshold values, considering that the wheelbase identification is successful when the measured wheelbase is just within the threshold value range corresponding to the set reference wheelbase, and continuing to identify according to the time sequence of the wheelbase information until all the wheelbase information is identified. However, in the actual traction process of the locomotive, due to the cascade structure of carriages, the energy transfer process between carriages inevitably causes abrupt change of carriage speed in the acceleration and deceleration process of the locomotive, which causes errors in wheelbase measurement, and if the errors just exceed the threshold value of wheelbase identification, the errors in wheelbase identification are caused, so that the identification result of all subsequent wheelbase information is affected. In addition, the method needs to predict the wheelbase length reference value of the vehicle type to be detected in advance, and if the vehicle is temporarily adjusted and built into a special vehicle type in the marshalling process, the correct identification of the wheelbase cannot be realized, so that the follow-up accurate positioning of wheels and carriages is affected.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention aims to provide a train wheelbase sequence information resolving method, which is particularly used for resolving wheelbase-compartment matching, wheelbase-wheel matching, total compartment resolving, total locomotive resolving and corresponding inquiry problems of whole train wheelbase sequence information (comprising wheelbase information, relative distance sequence information among vehicle body parts and the like).
In order to achieve the above purpose and achieve the above technical effects, the invention adopts the following technical scheme:
a train wheelbase sequence information resolving method comprises the following steps:
step one, wheelbase clustering
Carrying out self-adaptive clustering center search on train wheelbase sequence information through a MeanShift algorithm to obtain a plurality of class clustering centers and corresponding wheelbase clustering results;
step two, primary identification processing of wheelbase
Step three, wheelbase identification result correction processing
Step four, train carriage number identification and carriage total number calculation
And fifthly, wheelbase-carriage matching inquiry.
In the second step, the primary wheelbase identification process is implemented by the following steps:
predefining an identification mark;
searching the largest number of clustering categories, marking the corresponding wheelbase, marking the locomotive head at the front part of the train by utilizing the characteristic of stable measurement of the wheelbase information at the head end of the train, identifying and marking the wheelbase at the front part of the train according to a certain rule, and completely analyzing the locomotive head at the front part of the train.
Further, the identification marks are shown in table 1:
TABLE 1
Further, searching the largest number of clustering categories, marking the corresponding wheelbase as 2, marking the locomotive head at the front part of the train by utilizing the characteristic that the measurement of the wheelbase information at the head end of the train is stable, starting from the wheelbase 1, marking the clustering results corresponding to the wheelbase 1 and the wheelbase 3 as 4, marking the clustering results corresponding to the wheelbase 2 as 5, marking the wheelbase as 6 when 4-5-4 structures continuously appear and only one wheelbase information is spaced between the adjacent 4-5-4 structures, marking the adjacent first wheelbase as 7 after the last 4-5-4 structure, marking the adjacent 3 rd wheelbase as 3, marking the adjacent fifth wheelbase as 1, respectively marking the clustering results corresponding to the wheelbases 3 and 1 as the same, and completing the analysis of the locomotive head at the front part of the train, wherein the error marks are included, and the locomotive information at the middle part of the train is not marked.
In the third step, the wheelbase identification result correction processing is implemented by the following steps:
the identification result correction operation takes the axle distance of the bogie at the front end of the carriage as a reference, and sequentially corrects the axle distance identification result from beginning to end according to the axle distance sequence, wherein the correction operation is as follows:
sequentially scanning in the residual wheelbase sequence data, firstly, when the structure of 1-2-3-2-X-2-3-2-1 is satisfied, marking X as 1, finishing the first round of identification result correction, obtaining a 1-2-3-2-X-2-3-2-1 structure, and correcting the wheelbase identification result at the carriage connection position; when X meets the structure of 3-2-1-2-X-2-1-2-3, marking X as 3, finishing the second wheel identification result correction, and correcting the wheelbase identification result between the bogies of the same carriage; when the structure of 1-2-X-X-1-2 is satisfied, the structure is corrected to 1-2-3-2-1-2, the third wheel identification result correction is completed, and the identification result of the axle distance of the front end bogie of the carriage and the axle distance between the two bogies of the current carriage is corrected by taking the axle distance of the front end bogie of the carriage as a reference; when the structure of 1-2-X-X-X-2 is satisfied, the structure is corrected to 1-2-3-2-1-2, fourth wheel identification result correction is completed, and the identification results of the axle distance of the front end bogie of the carriage, the axle distance of the rear end bogie of the current carriage, the axle distance between two bogies and the axle distance at the joint of the rear end of the carriage are corrected by taking the axle distance of the front end bogie of the carriage as a reference; when the structure of 3-2-1-2-X-X-X is satisfied, the structure is corrected to 3-2-1-2-3-2-7, the axle distance of the front end bogie of the carriage is taken as a reference, the identification results of the axle distance of the rear end bogie of the current carriage, the axle distance between two bogies and the connection part between the locomotive head and the carriage are corrected, after the axle distance marking correction process is performed, the rest unmarked axle distance corresponds to the locomotive in the middle of the train, the structure of 7-4-5-4-6 … -4-5-4-7 is satisfied, and the correction can be completed by marking in sequence.
In the fourth step, the train carriage number identification and carriage total number calculation are realized by the following steps:
searching the corrected identification result according to a time sequence order, establishing a carriage number matching list with the same structure as the wheelbase time sequence information, accessing the carriage number identification result, wherein X represents the current query position, adding one to the statistical number of the carriage when X meets the 2-3 (X) -2 sequence structure, storing the current carriage statistical result into the carriage number matching list, and scanning in sequence to obtain the statistical number of the train carriage; and when the X meets the 4-5 (X) -4 sequence structure, adding one to the locomotive statistics number, storing the current locomotive number statistics result into a carriage number matching list, and sequentially searching and accumulating to obtain the total number of locomotives of the train.
In the fifth step, the wheelbase-carriage matching query is implemented by the following steps:
index inquiry is carried out through the wheelbase time series number and carriage number matching list in the tables 2-3, and the carriage number inquiry is carried out by taking the wheelbase time series number as an index value;
TABLE 2
TABLE 3 Table 3
Compared with the prior art, the invention has the beneficial effects that:
1. the method is suitable for analyzing the wheelbase sequence information of various vehicle types, and standard reference values of wheelbases are not required to be known in advance;
2. the wheelbase analysis process does not need to set a wheelbase matching threshold value, so that the occurrence of the situation of misidentification of the wheelbase when the wheelbase sequence information is abnormal due to vehicle speed change is avoided;
3. when the wheelbase sequence information is abnormal, the wheelbase automatic identification correction can be carried out through the wheelbase sequence information close to the normal wheelbase;
4. the axle distance of the bogie, the axle distance between the bogies and the axle distance at the connecting position of the carriage can be automatically identified;
5. the correct analysis of the number of locomotives and the number of carriages can be realized;
6. the accurate matching of the wheel track information and the carriage can be realized;
7. the position of the train corresponding to any wheelbase sequence number can be inquired in a table look-up mode.
Drawings
FIG. 1 is a flow chart of the present invention;
fig. 2 is a flowchart of the wheelbase identification correction process of the present invention.
Detailed Description
The following detailed description of the invention is provided in connection with the appended claims so that the advantages and features of the invention may be more readily understood by those skilled in the art, and so that the scope of the invention is more clearly and clearly defined.
The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later.
As shown in fig. 1-2, a method for resolving train wheelbase sequence information includes the following steps:
step one, wheelbase clustering
The self-adaptive clustering center search is carried out on the wheelbase sequence information mainly through a Mean-Shift algorithm, a plurality of class clustering centers and corresponding wheelbase clustering results are obtained, and the method comprises the following specific steps:
each wheelbase sequence information is used as a sample point to establish a sample space H, firstly, any one of the sample points is selected as a round point C, gao Weiqiu S is established by a preset radius R, all points falling into a high-dimensional sphere S in the sample space H form a plurality of vectors at the round point C, wherein the starting point of the vectors is the circle center C, the vector sum of all the vectors in Gao Weiqiu is calculated, the vector V is a Mean-Shift vector, then a high-order sphere with the radius R is established by taking the end point of the vector V as the circle center, the process is repeated, so that iteration is performed, the Mean-Shift algorithm can converge to the place with the maximum point density, and a plurality of clustering centers and corresponding wheelbase clustering results are obtained.
Step two, primary identification processing of wheelbase
The identification mark definition is shown in table 1. First, the largest number of cluster categories is found, the corresponding wheelbase of which is marked as 2 (inter-bogie wheelbase). And (3) marking the locomotive head at the front part of the train by utilizing the characteristic that the information of the wheelbase at the head end of the train is stable, starting from the wheelbase 1, marking the clustering results corresponding to the wheelbase 1 and the wheelbase 3 as 4, marking the clustering result corresponding to the wheelbase 2 as 5, marking the wheelbase as 6 when 4-5-4 structures continuously appear and only one wheelbase information is spaced between the adjacent 4-5-4 structures, marking the adjacent first wheelbase as 7 after the last 4-5-4 structure, marking the adjacent 3 rd wheelbase as 3, marking the adjacent fifth wheelbase as 1, and marking the clustering results corresponding to the 3 and 1 as the same. After the operation, the locomotive at the front part of the train is completely analyzed, most of wheelbases of corresponding marks of the carriage bogies are correct analysis results, but the correct marks are still contained in the wheelbases, and locomotive wheelbase information at the middle part of the train is not marked.
TABLE 1
Step three, wheelbase identification correction processing
According to the magnetic steel ranging principle of the wheelbase, the shorter the actual wheelbase is, the higher the measurement accuracy is. In the second step, the identification result of the front end bogie of the first carriage is already confirmed, so that the following identification result correction operations take the front end bogie of the carriage as a reference, and the axle base identification results are corrected sequentially from beginning to end according to the axle base sequence, as shown in fig. 2, and the specific correction operations are as follows:
sequentially scanning in the residual wheelbase sequence data, firstly, when the structure of 1-2-3-2-X-2-3-2-1 is satisfied, marking X as 1, finishing the first round of identification result correction, obtaining a 1-2-3-2-X-2-3-2-1 structure, and correcting the wheelbase identification result at the carriage connection position; then, when X meets the structure of 3-2-1-2-X-2-1-2-3, marking X as 3, finishing the second wheel identification result correction, and correcting the wheelbase identification result between the bogies of the same carriage; when the structure of 1-2-X-X-1-2 (or 3-2-1-2-X-X-1-2) is satisfied, the structure is corrected to 1-2-3-2-1-2 (3-2-1-2-3-2-1-2), the third wheel identification result correction is completed, and the identification result of the axle distance of the front end bogie of the carriage and the axle distance between the two bogies of the current carriage is corrected by taking the axle distance of the front end bogie of the carriage as a reference; when the structure of 1-2-X-X-X-2 (or 3-2-1-2-X-X-X-2) is satisfied, the structure is corrected to 1-2-3-2-1-2 (3-2-1-2-3-2-1-2), fourth wheel identification result correction is completed, and the identification result of the axle distance of the front end bogie of the carriage, the axle distance of the rear end bogie of the current carriage, the axle distance between the two bogies and the axle distance at the joint of the rear end of the carriage is corrected by taking the axle distance of the front end bogie of the carriage as a reference; when the structure of 3-2-1-2-X-X-X is satisfied, the structure is corrected to 3-2-1-2-3-2-7, and the axle distance of the front end bogie of the carriage is taken as a reference to correct the identification results of the axle distance of the rear end bogie of the current carriage, the axle distance between the two bogies and the connection part between the locomotive of the train and the carriage. After the wheelbase marking and correcting process, the remaining unmarked wheelbases correspond to locomotives in the middle of the train, locomotive head identification operation is carried out, the structure of 7-4-5-4-6 … -4-5-4-7 is necessarily met, the fifth correction is completed through marking in sequence. The corrected recognition results are shown in tables 2-3.
TABLE 2
TABLE 3 Table 3
Step four, train carriage number identification and carriage total number calculation
Searching the corrected identification result according to a time sequence order, establishing a carriage number matching list with the same structure as the wheelbase time sequence information, accessing the carriage number identification result, wherein X represents the current query position, adding one to the statistical number of the carriage when X meets the 2-3 (X) -2 sequence structure, storing the current carriage statistical result into the carriage number matching list, and scanning in sequence to obtain the statistical number of the train carriage; and when the X meets the 4-5 (X) -4 sequence structure, adding one to the locomotive statistics number, storing the current locomotive number statistics result into a carriage number matching list, and sequentially searching and accumulating to obtain the total number of locomotives of the train.
Fifth step, wheelbase-carriage matching inquiry
Index inquiry is carried out through the wheelbase time series number and carriage number matching list in the table 2-3, the wheelbase time series number is taken as an index value, and the carriage number inquiry is carried out, as in the table 2, the wheelbase time series number '3' represents the rear bogie axle distance of the front first locomotive of the train; in table 3, wheelbase time series number "427" represents the 105 th car rear bogie wheelbase.
Parts or structures of the present invention, which are not specifically described, may be existing technologies or existing products, and are not described herein.
The foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, and all equivalent structures or equivalent processes or direct or indirect application in other related technical fields are included in the scope of the present invention.
Claims (4)
1. The train wheelbase sequence information resolving method is characterized by comprising the following steps of:
step one, wheelbase clustering
Carrying out self-adaptive clustering center search on train wheelbase sequence information through a MeanShift algorithm to obtain a plurality of class clustering centers and corresponding wheelbase clustering results;
step two, primary identification processing of wheelbase
Step three, wheelbase identification result correction processing
Step four, train carriage number identification and carriage total number calculation
Step five, wheelbase-carriage matching inquiry;
in the second step, the primary wheelbase identification processing is realized by adopting the following steps:
predefining an identification mark;
searching the largest number of clustering categories, marking the corresponding wheelbase, marking the locomotive head at the front part of the train by utilizing the characteristic of stable measurement of the wheelbase information at the head end of the train, identifying and marking the wheelbase at the front part of the train according to a certain rule, and completely analyzing the locomotive head at the front part of the train;
the identification marks are shown in table 1:
TABLE 1
Searching the maximum number of clustering categories, marking the corresponding wheelbase as 2, marking the locomotive head at the front part of the train by utilizing the characteristic of stable measurement of the wheelbase information at the head end of the train, starting from the wheelbase 1, marking the clustering results corresponding to the wheelbase 1 and the wheelbase 3 as 4, marking the clustering results corresponding to the wheelbase 2 as 5, when 4-5-4 structures continuously appear and only one wheelbase information is spaced between the adjacent 4-5-4 structures, and marking the wheelbase as 6, marking the first adjacent wheelbase as 7 after the last 4-5-4 structure, marking the 3 rd adjacent wheelbase as 3, marking the fifth adjacent wheelbase as 1, and respectively marking the clustering results corresponding to the 3 and 1 identically to finish the analysis of the locomotive at the front part of the train, wherein the analysis comprises error marks, and locomotive wheelbase information at the middle part of the train is not marked.
2. The method for resolving train wheelbase sequence information according to claim 1, wherein in the third step, the wheelbase identification result correction processing is implemented by the following steps:
the identification result correction operation takes the axle distance of the bogie at the front end of the carriage as a reference, and sequentially corrects the axle distance identification result from beginning to end according to the axle distance sequence, wherein the correction operation is as follows:
sequentially scanning in the residual wheelbase sequence data, firstly, when the structure of 1-2-3-2-X-2-3-2-1 is satisfied, marking X as 1, finishing the first round of identification result correction, obtaining a 1-2-3-2-X-2-3-2-1 structure, and correcting the wheelbase identification result at the carriage connection position; when X meets the structure of 3-2-1-2-X-2-1-2-3, marking X as 3, finishing the second wheel identification result correction, and correcting the wheelbase identification result between the bogies of the same carriage; when the structure of 1-2-X-X-1-2 is satisfied, the structure is corrected to 1-2-3-2-1-2, the third wheel identification result correction is completed, and the identification result of the axle distance of the front end bogie of the carriage and the axle distance between the two bogies of the current carriage is corrected by taking the axle distance of the front end bogie of the carriage as a reference; when the structure of 1-2-X-X-X-2 is satisfied, the structure is corrected to 1-2-3-2-1-2, fourth wheel identification result correction is completed, and the identification results of the axle distance of the front end bogie of the carriage, the axle distance of the rear end bogie of the current carriage, the axle distance between two bogies and the axle distance at the joint of the rear end of the carriage are corrected by taking the axle distance of the front end bogie of the carriage as a reference; when the structure of 3-2-1-2-X-X-X is satisfied, the structure is corrected to 3-2-1-2-3-2-7, the axle distance of the front end bogie of the carriage is taken as a reference, the identification results of the axle distance of the rear end bogie of the current carriage, the axle distance between two bogies and the connection part between the locomotive head and the carriage are corrected, after the axle distance marking correction process is performed, the rest unmarked axle distance corresponds to the locomotive in the middle of the train, the structure of 7-4-5-4-6 … -4-5-4-7 is satisfied, and the correction can be completed by marking in sequence.
3. The method for resolving train wheelbase sequence information according to claim 1, wherein in the fourth step, the train car number identification and total number of cars resolving is realized by the steps of:
searching the corrected identification result according to a time sequence order, establishing a carriage number matching list with the same structure as the wheelbase time sequence information, accessing the carriage number identification result, wherein X represents the current query position, adding one to the statistical number of the carriage when X meets the 2-3 (X) -2 sequence structure, storing the current carriage statistical result into the carriage number matching list, and scanning in sequence to obtain the statistical number of the train carriage; and when the X meets the 4-5 (X) -4 sequence structure, adding one to the locomotive statistics number, storing the current locomotive number statistics result into a carriage number matching list, and sequentially searching and accumulating to obtain the total number of locomotives of the train.
4. The method for resolving train wheelbase sequence information according to claim 1, wherein in the fifth step, wheelbase-carriage matching query is implemented by the following steps:
index inquiry is carried out through the wheelbase time series number and carriage number matching list in the tables 2-3, and the carriage number inquiry is carried out by taking the wheelbase time series number as an index value;
TABLE 2
TABLE 3 Table 3
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