CN114987583A - Steel rail overhaul prediction method and device, electronic equipment and storage medium - Google Patents
Steel rail overhaul prediction method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN114987583A CN114987583A CN202210546901.5A CN202210546901A CN114987583A CN 114987583 A CN114987583 A CN 114987583A CN 202210546901 A CN202210546901 A CN 202210546901A CN 114987583 A CN114987583 A CN 114987583A
- Authority
- CN
- China
- Prior art keywords
- train
- station
- information
- section
- total
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 128
- 239000010959 steel Substances 0.000 title claims abstract description 128
- 238000000034 method Methods 0.000 title claims abstract description 66
- 238000004590 computer program Methods 0.000 claims description 14
- 230000000875 corresponding effect Effects 0.000 description 12
- 230000003137 locomotive effect Effects 0.000 description 10
- 238000004364 calculation method Methods 0.000 description 6
- 238000004891 communication Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 241001669679 Eleotris Species 0.000 description 3
- 230000001174 ascending effect Effects 0.000 description 3
- 230000002354 daily effect Effects 0.000 description 3
- 230000001186 cumulative effect Effects 0.000 description 2
- 230000003203 everyday effect Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/40—Handling position reports or trackside vehicle data
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/50—Trackside diagnosis or maintenance, e.g. software upgrades
- B61L27/53—Trackside diagnosis or maintenance, e.g. software upgrades for trackside elements or systems, e.g. trackside supervision of trackside control system conditions
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Train Traffic Observation, Control, And Security (AREA)
Abstract
The invention provides a steel rail overhaul prediction method, a steel rail overhaul prediction device, electronic equipment and a storage medium, wherein the method comprises the following steps: determining a total weight section of a line where a steel rail to be predicted is located; determining train operation information of a passing train in the total weight section, train transportation amount information of each station of each train number in the total weight section and line information of the total weight section; determining a passing total weight of the total weight section based on the train operation information, the train traffic information, and the route information; and predicting the overhaul period of the steel rail to be predicted in the total weight section based on the total weight. According to the steel rail overhaul prediction method, the steel rail overhaul prediction device, the electronic equipment and the storage medium, the obtained total passing weight can reflect the state of the steel rail in the line in real time, and compared with the prior art that the total weight is stored year by year, the train passing total weight is more accurate, so that a basis is provided for determining a reasonable steel rail overhaul period.
Description
Technical Field
The invention relates to the technical field of railway operation, in particular to a method and a device for predicting overhaul of a steel rail, electronic equipment and a storage medium.
Background
With the continuous acceleration of the railway train, it is increasingly important to control the state of the steel rail in the railway line and perform necessary maintenance to ensure the safe operation of the train.
At present, the steel rail is mainly used for predicting the overhaul period of the steel rail by taking the total weight as a main basis. However, the total weight of the existing steel rail is calculated by taking years as a calculation period, and the calculation result is too wide to reflect the state of the steel rail in the railway line in real time, so that the repair of the steel rail has a certain advance or delay, and the repair economy and the safety of the steel rail are affected.
Therefore, how to obtain more accurate train passing total weight is an urgent problem to be solved in order to determine more reasonable steel rail overhaul period.
Disclosure of Invention
The invention provides a steel rail overhaul prediction method, a steel rail overhaul prediction device, electronic equipment and a storage medium, which are used for solving the defect that the state of a steel rail in a railway line cannot be reflected in real time due to the fact that a steel rail is too wide in calculation result through the total weight in the prior art.
The invention provides a steel rail overhaul prediction method, which comprises the following steps:
determining a total weight section of a line where a steel rail to be predicted is located;
determining train operation information of a passing train in the total weight section, train transportation amount information of each station of each train number in the total weight section and line information of the total weight section;
determining a passing total weight of the total weight section based on the train operation information, the train traffic information, and the route information;
and predicting the overhaul period of the steel rail to be predicted in the total weight section based on the total weight.
According to the method for predicting the overhaul of the steel rail provided by the invention, the step of determining the total passing weight of the total weight section based on the train operation information, the train traffic information and the line information comprises the following steps:
dividing the total weight section into a station interval and a station interior based on the station information contained in the total weight section;
and determining the total passing weight of the section of the station section or the total passing weight of the station in the station based on the train operation information, the train traffic information and the line information.
According to the method for predicting the steel rail overhaul provided by the invention, the step of determining the total section passing weight of the station section based on the train operation information, the train traffic information and the line information comprises the following steps:
associating the train running information with the line information to obtain the train running direction of each train number;
determining the traffic information of the train in the running direction based on the train traffic information and the train running direction;
and determining the total passing weight of the section of the station section based on the line information and the traffic information of the train in the running direction.
According to the method for predicting the overhaul of the steel rail provided by the invention, the step of determining the total section passing weight of the station section based on the line information and the traffic information of the train in the running direction comprises the following steps:
adding the traffic information of the train in the uplink direction and the traffic information of the train in the downlink direction under the condition that the line information indicates that the line of the station section is a single line, and determining the added traffic information as the total passing weight of the station section;
and under the condition that the line information indicates that the line of the station interval is not a single line, determining the traffic information of the train in the uplink direction as the total passing weight of the uplink interval of the station interval, and determining the traffic information of the train in the downlink direction as the total passing weight of the downlink interval of the station interval.
According to the method for predicting the steel rail overhaul provided by the invention, the step of determining the total in-station passing weight in the station in the station based on the train operation information, the train traffic information and the line information comprises the following steps:
associating the station track information in the line information with the station track information in the train operation information to obtain the station track of the train in each station;
and determining the total track passing weight of each track in each station based on the train transportation volume information and the tracks of the train running in each station.
According to the method for predicting the overhaul period of the steel rail, which is provided by the invention, based on the total weight, the steel rail overhaul period to be predicted in the total weight section is predicted, and the method comprises the following steps:
determining the interval accumulated total passing weight of the station interval based on the sum of all the interval total passing weights of all the passing train numbers in the station interval;
and predicting the steel rail overhaul period in the station section based on the accumulated total passing weight of the section of the station section and a preset total passing weight threshold.
According to the method for predicting the overhaul of the steel rail, provided by the invention, the overhaul period of the steel rail to be predicted in the total weight section is predicted based on the total weight, and the method comprises the following steps:
determining the accumulated passing total weight of the tracks of each track in the station based on the sum of the passing total weights of all tracks of each passing train number in the station;
and predicting the steel rail overhaul period of each track in the station based on the accumulated total passing weight of each track in the station and the threshold value of the total passing weight.
The invention also provides a steel rail overhaul prediction device, which comprises:
the section determining unit is used for determining the total weight section of the line where the steel rail to be predicted is located;
an information determining unit, configured to determine train operation information of a train passing through the total weight section, train transportation amount information of each station of each train number in the total weight section, and route information of the total weight section;
a total weight determination unit for determining a passing total weight of the total weight section based on the train operation information, the train traffic information, and the route information;
and the period prediction unit is used for predicting the overhaul period of the steel rail to be predicted in the total weight section based on the total weight.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the steel rail overhaul prediction method.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a rail repair prediction method as described in any one of the above.
The invention also provides a computer program product comprising a computer program which, when executed by a processor, implements a rail major repair prediction method as described in any one of the above.
According to the method, the device, the electronic equipment and the storage medium for predicting the overhaul of the steel rail, the total passing weight of the total weight section is determined according to the train operation information, the train traffic information and the line information, the total passing weight obtained through calculation can reflect the state of the steel rail in the line in real time, and compared with the prior art that the total weight traffic is stored year by year, the more accurate total passing weight of the train is provided, so that a basis is provided for determining a reasonable overhaul period of the steel rail.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for predicting the overhaul of a steel rail provided by the invention;
FIG. 2 is a schematic flow chart illustrating step 130 of the method for predicting the overhaul of the steel rail provided by the present invention;
FIG. 3 is a flow chart of a method for determining a total weight in a region according to the present invention;
FIG. 4 is a schematic flow chart of a track passage gross weight determination method for each track passage in a station according to the present invention;
FIG. 5 is a schematic flow chart illustrating step 140 of the method for predicting the overhaul of a steel rail provided by the present invention;
FIG. 6 is a second schematic flow chart of step 140 of the method for predicting the overhaul of a steel rail provided by the present invention;
FIG. 7 is a second schematic flow chart of the method for predicting the overhaul of the steel rail provided by the present invention;
FIG. 8 is a schematic structural diagram of a steel rail overhaul prediction device provided by the invention;
fig. 9 is a schematic structural diagram of an electronic device provided by the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, 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 inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
The steel rail damage development law and the steel rail fatigue life are closely related to the total weight of the train passing through the railway, and the total weight of the train passing through is taken as a main basis for determining the steel rail overhaul period, so that the operation conditions and the working characteristics of the railway line can be comprehensively reflected.
In the prior art, the total weight of the steel rail is mainly calculated by a railway work management information system, the total weight section transportation volume is stored year by year, and the total weight section transportation volume can be calculated by utilizing the corresponding relation between the total weight section and the engineering section. If the total weight section does not define the corresponding engineering section, or the engineering report does not have the engineering section transportation volume data corresponding to the total weight section, the transportation volume of the total weight section in the last year is searched, otherwise, the total weight section transportation volume is manually input.
Due to the limitation of the integrity and the real-time performance of the locomotive report data, the calculated steel rail is stored year by year through the total weight result, the result is too wide, and the state of the steel rail in the railway line cannot be reflected in real time, so that the overhaul of the steel rail has certain lead or lag, and the maintenance economy and the safety of the steel rail are influenced.
In view of this, the embodiment of the invention provides a steel rail overhaul prediction method, which can be applied to a steel rail overhaul period prediction scene, and can provide a more accurate train passing total weight according to the operation characteristics of a railway, so as to provide a basis for determining a reasonable steel rail overhaul period.
Fig. 1 is a schematic flow chart of a rail repair prediction method provided by the present invention, which can be performed by any device that performs the rail repair prediction method, and the device can be implemented by software and/or hardware. In this embodiment, the apparatus may be integrated in an electronic device. As shown in fig. 1, a method for predicting a steel rail overhaul provided by an embodiment of the present invention includes:
Specifically, the rail to be predicted is a rail that needs to be subjected to overhaul period prediction, and in general, the rail overhaul is to perform periodic repair on a rail of a section on a railway line. Here, the gross weight section is a line section where the steel rail to be predicted is located, for example, the steel rail of the railway section from a place a to a place B on the kyoto line needs to be subjected to overhaul prediction; for another example, the steel rail of the section from C to D on the Kyoha line is subjected to overhaul prediction.
And step 120, determining train operation information of the passing train in the total weight section, train transportation amount information of each station of each train number in the total weight section, and line information of the total weight section.
Specifically, the train operation information may specifically include train number, serial number, station name, station track, arrival time, departure time, and the like, by the train, i.e., the train that runs through the total weight section. Train Operation information can be acquired through a Train Operation Dispatching Command System (TDCS) or a distributed self-managed Dispatching Control (CTC), and the part of information generally belongs to electric service information.
The train transportation volume information of each station of each train number in the gross weight section comprises passenger transportation volume information and freight transportation volume information, namely transportation unified information. Freight transportation traffic information can be acquired through a railway freight statistical system, and passenger transportation traffic information can be acquired through a railway passenger statistical system. For example, the freight transportation volume information is presented in the form of a freight transportation volume statistical report, and the report specifically includes information of kilometers traveled by the locomotive in each locomotive section, and the like.
The route information of the gross weight section may specifically include whether the inter-zone route is a single line, stop track information in the station, and the like, and this part of the information is generally business information.
It should be noted that the train operation information, the train traffic volume information, and the route information may be obtained in real time, or may be obtained at regular time, for example, the train operation information, the train traffic volume information, and the route information are obtained within a preset time interval, where the preset time interval may be every 2 hours or every day, and the embodiment of the present invention is not limited to this specifically.
And step 130, determining a passing total weight of the total weight section based on the train operation information, the train traffic information and the route information.
Specifically, after the train operation information in the electric service information, the train transportation amount information in the transportation unification information, and the line information in the work information are obtained, the train operation information, the train transportation amount information, and the line information can be effectively associated with each other, so that the passing total weight of each train passing through the total weight section can be calculated.
The total passing weight here may be the total passing weight per hour or the total passing weight per day; the total passing weight of all the vehicle passes may be determined, and the embodiment of the present invention is not particularly limited thereto.
The train operation information, the train traffic information and the line information can be acquired in real time or daily, so that the calculated total passing weight can reflect the state of the steel rail in the line in real time.
And 140, predicting the overhaul period of the steel rail to be predicted in the total weight section based on the total weight.
Specifically, on the basis of the obtained total pass weight, the overhaul period of the steel rail to be predicted in the total weight section can be predicted according to the total pass weight. The accumulated total passing weight can be compared with a total passing weight threshold, and if the total passing weight exceeds the set threshold, the steel rail in the total weight section is considered to be worn and needs to be overhauled; the overhaul period of the steel rail can be predicted according to the mapping relation between the total passing weight of the steel rail and the damage of the steel rail; of course, the steel rail overhaul period can be predicted by combining the last rail replacement time of the steel rail and the damage condition of the steel rail on the basis of the total weight, and the embodiment of the invention is not particularly limited to this.
According to the method provided by the embodiment of the invention, the passing gross weight of the gross weight section is determined according to the train operation information, the train traffic volume information and the line information, and the calculated passing gross weight can reflect the state of the steel rail in the line in real time.
Based on the foregoing embodiment, fig. 2 is a schematic flow chart of step 130 in the steel rail overhaul prediction method provided by the present invention, and as shown in fig. 2, step 130 specifically includes:
and 132, determining the total area passing weight of the station area and/or the total in-station passing weight in the station area based on the train operation information, the train traffic information and the route information.
In particular, considering that a train stops at various stations, particularly a freight train, and is unloaded and restocked after reaching a destination station, the passing total weight of a rail between two stations and a rail within a station may not be the same.
In order to more accurately obtain the total passing weight of the steel rail, the total weight section can be divided into a station section and a station interior according to the station information contained in the total weight section. The station section herein may be a section between any two adjacent stations, and may of course be a section between any two stations that are not adjacent to each other. For example, the gross weight section includes E, F and G stations, and may be divided into an EF section, an FG section, an E station, an F station, and a G station.
And then, determining the total passing weight of the section of the station section and/or the total passing weight of the station in the station according to the train operation information, the train traffic information and the line information.
Based on any of the above embodiments, fig. 3 is a schematic flow chart of the method for determining total passing weight of an interval provided by the present invention, and as shown in fig. 3, the step 132 of determining the total passing weight of an interval at a station based on train operation information, train traffic information, and route information includes:
step 132-1, associating the train running information with the line information to obtain the train running direction of each train number;
step 132-2, determining the traffic information of the train in the running direction based on the train traffic information and the train running direction;
and 132-3, determining the total passing weight of the section of the station section based on the line information and the traffic information of the train in the running direction.
Specifically, the train operation information and the line information are correlated, train operation and work information are matched, and the operation direction of each train number every day is obtained. The train running direction can be divided into an ascending direction and a descending direction, and when the running direction is as follows: the starting point mileage is a small mileage, and the interval starting point station is a small mileage station; when the running direction is upward: the starting point mileage is a big mileage, and the interval starting point station is a big mileage station.
And then determining the transportation amount information of the trains of each train in the running direction by combining the running direction and the transportation amount information.
And determining the total passing weight of the section of the station section by combining the line information on the basis of obtaining the traffic information of the trains of each train number in the running direction.
Based on any of the above embodiments, step 132-3 specifically includes:
adding the traffic information of the train in the uplink direction and the traffic information of the train in the downlink direction under the condition that the line information indicates that the line of the station section is a single line, and determining the added traffic information as the total passing weight of the section of the station section;
and when the route information indicates that the route of the station section is not a single line, determining the traffic information of the train in the uplink direction as the total passing weight of the uplink section of the station section, and determining the traffic information of the train in the downlink direction as the total passing weight of the downlink section of the station section.
Specifically, the railway line information may indicate a line condition of the station section. In the case where the line is a single line, that is, both the ascending train and the descending train pass through the line, the total passing weight of the section in the station section is the sum of the traffic information in the ascending direction and the traffic information in the descending direction of the train.
In the case of a line that is not a single line, it is typically a multiple line, i.e., one line passes through the upstream train and the other line passes through the downstream train. The interval is divided into an uplink interval and a downlink interval by the total weight, wherein the uplink interval and the downlink interval are the traffic information in the uplink direction of the train by the total weight; the total weight of the downlink section is the traffic information of the downlink direction of the train.
According to the method provided by the embodiment of the invention, the total passing weight of the interval of the station is determined according to whether the line is a single line or not, the calculation model of the total passing weight of the interval is further refined, and more accurate total passing weight of the interval can be obtained.
Based on any of the above embodiments, fig. 4 is a schematic flow chart of the method for determining the total passage weight of the tracks of each track in the station, as shown in fig. 4, in step 132, the method for determining the total passage weight of the station in the station based on the train operation information, the train transportation volume information, and the route information specifically includes:
step 132-4, associating the track information in the line information with the track information in the train operation information to obtain tracks of the train operating in each station;
and 132-5, determining the total track passing weight of each track in the station based on the train transportation volume information and the tracks of the trains running in each station.
Specifically, the station track information in the line information is associated with the station track information in the train operation information to obtain the station track of the train operating in each station. Table 1 shows the result of associating the station track information in the E station on the kyaha line with the station track information in the service line, and as shown in table 1, the station track name in the train operation information is associated with the service station track number in the service line information, so as to obtain the station track of the train running in each station.
TABLE 1
On the basis, the total track passing weight of each track in the station can be determined according to the train transportation volume information and the tracks of the train running in each station.
According to the method provided by the embodiment of the invention, the track of the train running can be judged by correlating the train running information with the service line information, so that the total track passing weight of each track in the station is obtained. The gross weight will be refined to each track within the station, enabling a more accurate calculation of the gross weight.
Based on any of the above embodiments, fig. 5 is one of the flow diagrams of step 140 in the method for predicting the overhaul of the steel rail provided by the present invention, as shown in fig. 5, step 140 specifically includes:
and 142, predicting the steel rail overhaul period in the station section based on the section accumulated passing total weight of the station section and a preset passing total weight threshold.
Specifically, on the basis of obtaining the total passing weight of each section of the train number, the total accumulated passing weight of the section of the station section can be determined according to the sum of the total passing weights of all sections of the train number passing in the station section.
For example, the total passing weight per day interval may be obtained by adding the total passing weight per day interval of all the cars passing through the interval, and based on this, the total passing weight per month interval may be counted.
After the total accumulated passing weight of the section is obtained, the steel rail overhaul period in the station section can be predicted according to a preset total accumulated passing weight threshold of the section.
And further, on the basis of the total accumulated passing weight of the intervals, predicting the steel rail overhaul period in the station intervals by combining the steel rail type, the line type, the sleeper type and the interval accumulated passing weight threshold guided by the repair gauge, and predicting the turnout and track bed overhaul period.
Table 2 shows the accumulated total passing weight threshold of the steel rail reaching the overhaul period under different rail conditions, as shown in table 2, the rail profile is 75kg/m of a seamless track, a concrete sleeper and a gravel bed rail, and when the accumulated total passing weight of the steel rail interval reaches 1500Mt, the steel rail of the station interval reaches the overhaul period; when the total passing weight of the rail section reaches 900Mt, the turnout and the track bed of the station section are indicated to reach the overhaul period.
For another example, when the total weight of the rail sections reaches 700Mt, the rail section of the common line with the rail shape of 75kg/m, a concrete sleeper and a gravel bed rail indicates that the rail of the station section reaches the overhaul period, and simultaneously the turnout and the track bed of the station section reach the overhaul period.
TABLE 2
It should be noted that, in some embodiments, when the total passed weight is accumulated for the section of steel rail which does not reach the total passed weight threshold of the overhaul period as shown in table 2, the overhaul of the steel rail is also required when the rail profile is 60kg/m or less of the line and the weight damage number of the steel rail reaches 2-4 points; when the rail type is 75kg/m of line and the heavy damage number of the steel rail reaches 4-6, the steel rail also needs to be overhauled.
According to the method provided by the embodiment of the invention, the total accumulated pass weight of the sections of each station section is accurately calculated, and is compared with the total pass weight threshold value of the steel rail on the basis, so that the overhaul period of the steel rail of each station section is determined, more accurate overhaul period prediction is realized, and the economy and the safety of steel rail overhaul are improved.
Based on any one of the embodiments, a method for calculating the cumulative passing total weight of the station section is provided. When one station section only corresponds to one locomotive department section, the total passing weight and the train number of the station section are equal to the total passing weight and the train number of the corresponding locomotive department section;
when one station section corresponds to a plurality of locomotive service sections, the total passing weight and the train number of the station section are equal to the sum of the total passing weight and the train number of the plurality of locomotive service sections corresponding to the station section;
when a station section does not have a completely corresponding locomotive section, the number of the passenger cars and the number of the trucks of the station section are equal to the number of the manually-recorded annual passenger cars and the number of the manually-recorded trucks of the station section, and the station section is calculated by the total weight:
the method for calculating the traffic volume of the engineering section comprises the following steps: calculating corresponding logarithm of the passenger cars and trucks in the engineering section, and obtaining million tons of the engineering section by using the unified transportation information;
after the passing total weight of the computer service section is calculated, the passing total weight of the corresponding station area can be calculated: when the reference train number of the station section exists and is not equal to the train number of the corresponding locomotive section, the total weight is in log ratio and the total weight of the locomotive section passes through, and the train number is the reference train number; otherwise, the passing gross is the sum of the passing gross of all corresponding engineering sections, and the train number is the sum of the train number of all corresponding engineering sections.
Based on any of the above embodiments, fig. 6 is a second schematic flow chart of step 140 in the method for predicting overhaul of a steel rail provided by the present invention, as shown in fig. 6, step 140 specifically includes:
and 144, predicting the steel rail overhaul period of each track in the station based on the accumulated total passing weight of the tracks in each track in the station and the total passing weight threshold.
Specifically, on the basis of obtaining the total passing weight of the tracks of each train number, the cumulative total passing weight of the tracks of each track in the station may be determined according to the sum of the total passing weights of all the tracks of the train numbers in the station section.
For example, the total daily passage weight of all the cars passing through each passage in the station may be added to obtain the total daily passage weight of each passage in the station, and on this basis, the total monthly passage weight of each passage in the station may be counted.
And after the accumulated total passing weight of the tracks is obtained, predicting the steel rail overhaul period of each track in the station according to a preset total passing weight threshold.
The method for predicting the steel rail overhaul period of each track in the station is the same as the method for predicting the steel rail overhaul period in the station section, and reference may be made to the previous embodiment, which is not described herein again.
Based on any of the above embodiments, fig. 7 is a second schematic flow chart of the steel rail overhaul prediction method provided by the present invention, and as shown in fig. 7, a steel rail overhaul prediction method is provided, which includes:
s1, determining the total weight section of the line where the steel rail to be predicted is located;
s2, determining train operation information of the passing train in the gross weight section through electric service TDCS/CTC; determining train transportation quantity information of each station of each train number in the gross weight section through a railway freight statistical system and a railway passenger statistical system; determining, by a work system, route information for the gross weight section;
s3, dividing the total weight section into a station interval and a station based on the station information contained in the total weight section;
s4, associating the train operation information with the line information to obtain the train operation direction of each train number and the traffic information in the operation direction;
s5, when the route information indicates that the route of the station section is a single route, adding the traffic information in the uplink direction and the traffic information in the downlink direction of the train, and determining the added traffic information as the total pass weight of the station section;
and under the condition that the line information indicates that the line of the station interval is not a single line, determining the traffic information of the train in the uplink direction as the total passing weight of the uplink interval of the station interval, and determining the traffic information of the train in the downlink direction as the total passing weight of the downlink interval of the station interval.
S6, associating the track information in the line information with the track information in the train running information to obtain the track of the train running in each station; and determining the total track passing weight of each track in each station based on the train transportation volume information and the tracks of the train running in each station.
S7, determining the total passing weight of the section of the station section based on the sum of the total passing weights of all the sections of the passing train numbers in the station section; and predicting the steel rail overhaul period in the station section based on the section accumulated passing total weight of the station section and a preset passing total weight threshold.
S8, determining the accumulated total passing weight of the tracks of each track in the station based on the sum of the total passing weights of all tracks of each track passing the train number in the station; and predicting the steel rail overhaul period of each track in the station based on the accumulated total passing weight of each track in the station and the threshold value of the total passing weight.
The following describes the steel rail overhaul prediction device provided by the present invention, and the steel rail overhaul prediction device described below and the steel rail overhaul prediction method described above can be referred to each other.
Fig. 8 is a schematic structural view of a rail overhaul prediction device provided by the present invention, and as shown in fig. 8, the device includes:
the section determining unit 810 is configured to determine a total weight section of a track where a steel rail to be predicted is located;
an information determining unit 820, configured to determine train operation information of a train passing through the gross weight section, train transportation amount information of each station of each train number in the gross weight section, and route information of the gross weight section;
a total weight determining unit 830 for determining a passing total weight of the total weight section based on the train operation information, the train traffic information, and the route information;
a period prediction unit 840, configured to predict a repair period of the rail to be predicted in the total weight segment based on the total weight.
According to the steel rail overhaul prediction device provided by the embodiment of the invention, the total passing weight of the total weight section is determined according to the train operation information, the train traffic information and the line information, and the calculated total passing weight can reflect the state of the steel rail in the line in real time.
Based on any of the above embodiments, the total weight determining unit 830 is further configured to:
dividing the total weight section into a station interval and a station interior based on the station information contained in the total weight section;
and determining the interval passing total weight of the station interval or the station passing total weight in the station based on the train operation information, the train traffic information and the line information.
Based on any of the above embodiments, the total weight determining unit 830 is further configured to:
associating the train running information with the line information to obtain the train running direction of each train number;
determining the traffic information of the train in the running direction based on the train traffic information and the train running direction;
and determining the total passing weight of the section of the station section based on the line information and the traffic information of the train in the running direction.
Based on any of the above embodiments, the total weight determining unit 830 is further configured to:
adding the traffic information of the train in the uplink direction and the traffic information of the train in the downlink direction under the condition that the line information indicates that the line of the station section is a single line, and determining the added traffic information as the total passing weight of the station section;
and under the condition that the line information indicates that the line of the station interval is not a single line, determining the traffic information of the train in the uplink direction as the total passing weight of the uplink interval of the station interval, and determining the traffic information of the train in the downlink direction as the total passing weight of the downlink interval of the station interval.
Based on any of the above embodiments, the total weight determining unit 830 is further configured to:
associating the track information in the line information with the track information in the train operation information to obtain tracks of the train operating in each station;
and determining the total track passing weight of each track in each station based on the train transportation volume information and the tracks of the train running in each station.
Based on any of the above embodiments, the period prediction unit 840 is further configured to:
determining the interval accumulated total passing weight of the station interval based on the sum of all the interval total passing weights of all the passing train numbers in the station interval;
and predicting the steel rail overhaul period in the station section based on the total accumulated passing weight of the section of the station section and a preset threshold value of the total accumulated passing weight of the section.
Based on any of the above embodiments, the period prediction unit 840 is further configured to:
determining the accumulated total passing weight of the tracks of each track in the station based on the sum of the total passing weights of all tracks of each pass in the station;
and predicting the steel rail overhaul period of each track in the station based on the total accumulated passing weight of each track in the station and a preset total accumulated passing weight threshold value of each track in the station.
Fig. 9 illustrates a physical structure diagram of an electronic device, and as shown in fig. 9, the electronic device may include: a processor (processor)910, a communication Interface (Communications Interface)920, a memory (memory)930, and a communication bus 940, wherein the processor 910, the communication Interface 920, and the memory 930 communicate with each other via the communication bus 940. Processor 910 may invoke logic instructions in memory 930 to perform a rail major repair prediction method comprising: determining a total weight section of a line where a steel rail to be predicted is located; determining train operation information of a passing train in the total weight section, train transportation amount information of each station of each train number in the total weight section and line information of the total weight section; determining a passing total weight of the total weight section based on the train operation information, the train traffic information, and the route information; and predicting the overhaul period of the steel rail to be predicted in the total weight section based on the total weight.
Furthermore, the logic instructions in the memory 930 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product, where the computer program product includes a computer program, the computer program can be stored on a non-transitory computer readable storage medium, and when the computer program is executed by a processor, a computer can execute the rail repair prediction method provided by the above methods, where the method includes: determining a total weight section of a line where a steel rail to be predicted is located; determining train operation information of a passing train in the total weight section, train transportation amount information of each station of each train number in the total weight section and line information of the total weight section; determining a passing total weight of the total weight section based on the train operation information, the train traffic information, and the route information; and predicting the overhaul period of the steel rail to be predicted in the total weight section based on the total weight.
In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program being implemented by a processor to execute the method for predicting the overhaul of the steel rail provided by the above methods, the method including: determining a total weight section of a line where a steel rail to be predicted is located; determining train operation information of a passing train in the total weight section, train transportation amount information of each station of each train number in the total weight section and line information of the total weight section; determining a passing total weight of the total weight section based on the train operation information, the train traffic information, and the route information; and predicting the overhaul period of the steel rail to be predicted in the total weight section based on the total weight.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A rail overhaul prediction method is characterized by comprising the following steps:
determining a total weight section of a line where a steel rail to be predicted is located;
determining train operation information of a passing train in the total weight section, train transportation amount information of each station of each train number in the total weight section and line information of the total weight section;
determining a passing total weight of the total weight section based on the train operation information, the train traffic information, and the route information;
and predicting the overhaul period of the steel rail to be predicted in the total weight section based on the total weight.
2. The method of claim 1, wherein the determining a passing gross weight of the gross weight section based on the train operation information, the train traffic information, and the route information comprises:
dividing the total weight section into a station interval and a station interior based on the station information contained in the total weight section;
and determining the total passing weight of the section of the station section and/or the total passing weight of the station in the station based on the train operation information, the train traffic information and the line information.
3. The method for predicting steel rail overhaul according to claim 2, wherein the determining a total section passing weight of the station section based on the train operation information, the train traffic information, and the route information includes:
associating the train running information with the line information to obtain the train running direction of each train number;
determining the traffic information of the train in the running direction based on the train traffic information and the train running direction;
and determining the total passing weight of the section of the station section based on the line information and the traffic information of the train in the running direction.
4. The method for predicting steel rail overhaul according to claim 3, wherein the determining of the total section passing weight of the station section based on the route information and the traffic information of the train in the running direction comprises:
adding the traffic information of the train in the uplink direction and the traffic information of the train in the downlink direction under the condition that the line information indicates that the line of the station section is a single line, and determining the added traffic information as the total passing weight of the station section;
and under the condition that the line information indicates that the line of the station interval is not a single line, determining the traffic information of the train in the uplink direction as the total passing weight of the uplink interval of the station interval, and determining the traffic information of the train in the downlink direction as the total passing weight of the downlink interval of the station interval.
5. The method for predicting steel rail overhaul according to claim 2, wherein the determining an intra-station passing total weight in the intra-station based on the train operation information, the train traffic information, and the route information includes:
associating the track information in the line information with the track information in the train operation information to obtain tracks of the train operating in each station;
and determining the total track passing weight of each track in each station based on the train transportation volume information and the track of the train running in each station.
6. The method of any one of claims 2 to 4, wherein the predicting the repair cycle of the rail to be predicted in the gross weight section based on the total weight comprises:
determining the interval accumulated total passing weight of the station interval based on the sum of all the interval total passing weights of all the passing train numbers in the station interval;
and predicting the steel rail overhaul period in the station section based on the accumulated total passing weight of the section of the station section and a preset total passing weight threshold.
7. The method of claim 5, wherein the predicting the repair cycle of the rail to be predicted in the total weight section based on the total weight includes:
determining the accumulated total passing weight of the tracks of each track in the station based on the sum of the total passing weights of all tracks of each pass in the station;
and predicting the steel rail overhaul period of each track in the station based on the accumulated total weight of each track in the station and the threshold value of the total weight.
8. A rail overhaul prediction device, comprising:
the section determining unit is used for determining the total weight section of the line where the steel rail to be predicted is located;
an information determining unit, configured to determine train operation information of a train passing through the total weight section, train transportation amount information of each station of each train number in the total weight section, and route information of the total weight section;
a total weight determination unit for determining a passing total weight of the total weight section based on the train operation information, the train traffic information, and the route information;
and the period prediction unit is used for predicting the overhaul period of the steel rail to be predicted in the total weight section based on the total weight.
9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the rail overhaul prediction method according to any one of claims 1 to 6.
10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the rail repair prediction method according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210546901.5A CN114987583A (en) | 2022-05-18 | 2022-05-18 | Steel rail overhaul prediction method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210546901.5A CN114987583A (en) | 2022-05-18 | 2022-05-18 | Steel rail overhaul prediction method and device, electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114987583A true CN114987583A (en) | 2022-09-02 |
Family
ID=83026629
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210546901.5A Pending CN114987583A (en) | 2022-05-18 | 2022-05-18 | Steel rail overhaul prediction method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114987583A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1610103A1 (en) * | 2004-06-25 | 2005-12-28 | Schenck Process GmbH | Method of determining reference weights by means of a dynamic railway cars scale. |
| JP2019019454A (en) * | 2017-07-11 | 2019-02-07 | 東日本旅客鉄道株式会社 | Orbit evaluation system or orbit evaluation method |
| CN110503209A (en) * | 2019-07-24 | 2019-11-26 | 山东麦港数据系统有限公司 | A kind of rail analysis and early warning model building method and system based on big data |
| CN111626439A (en) * | 2019-11-01 | 2020-09-04 | 东莞灵虎智能科技有限公司 | Steel rail overhaul decision support method based on artificial intelligence |
-
2022
- 2022-05-18 CN CN202210546901.5A patent/CN114987583A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1610103A1 (en) * | 2004-06-25 | 2005-12-28 | Schenck Process GmbH | Method of determining reference weights by means of a dynamic railway cars scale. |
| JP2019019454A (en) * | 2017-07-11 | 2019-02-07 | 東日本旅客鉄道株式会社 | Orbit evaluation system or orbit evaluation method |
| CN110503209A (en) * | 2019-07-24 | 2019-11-26 | 山东麦港数据系统有限公司 | A kind of rail analysis and early warning model building method and system based on big data |
| CN111626439A (en) * | 2019-11-01 | 2020-09-04 | 东莞灵虎智能科技有限公司 | Steel rail overhaul decision support method based on artificial intelligence |
Non-Patent Citations (3)
| Title |
|---|
| 侯德杰: "线路修理与线路修理总量控制", 《铁道建筑》 * |
| 傅瑞珉: "神华包神铁路大修周期预测与研究", 《铁道建筑》 * |
| 吴振法等: "线路通过总重计算方法探讨", 《铁道建筑》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Dicembre et al. | Railway traffic on high density urban corridors: Capacity, signalling and timetable | |
| Landex et al. | Measures for track complexity and robustness of operation at stations | |
| Grechi et al. | The importance of punctuality in rail transport service: an empirical investigation on the delay determinants | |
| Mitra et al. | Estimation of railroad capacity using parametric methods | |
| Zhang et al. | Macrolevel classification yard capacity modeling | |
| Rezvani et al. | Benefit-Cost methodology for highway-railway grade crossing safety protocols as applied to transportation infrastructure project prioritization processes | |
| Medeossi et al. | Simulation of rail operations | |
| CN111898185A (en) | Rail transit design scheme evaluation method and device and readable storage medium | |
| Bargegol et al. | Statistical analysis of the railway accidents causes in Iran | |
| Dingler | The impact of operational strategies and new technologies on railroad capacity | |
| Veiseth et al. | Infrastructure’s influence on rail punctuality | |
| CN114987583A (en) | Steel rail overhaul prediction method and device, electronic equipment and storage medium | |
| Shalaby et al. | Rail transit disruption management: a comprehensive review of strategies and approaches | |
| Restel | Train punctuality model for a selected part of railway transportation system | |
| Famurewa | Maintenance analysis and modelling for enhanced railway infrastructure capacity | |
| Statyvka et al. | Improvement of the technique of calculating operational parameters using an automated system | |
| Valentinovic et al. | Railway line capacity methods analysis and their application in" Lithuanian Railways" justification | |
| Mahboob et al. | An approach to calculate overall efficiency of rolling stock for an urban rail transit system | |
| Wiarco et al. | The Impact of Stability Factor of Train Operations to Railway Line Capacity (Kroya-Kutoarjo-Yogyakarta) Indonesia | |
| MIWA et al. | Modeling an optimal track maintenance schedule in consideration of train derailment risk | |
| Borodin et al. | Providing the functional reliability of the transport process in placing recovery trains | |
| WO2023195218A1 (en) | Railroad maintenance assistance system and railroad maintenance assistance method | |
| Nordin | Effect analysis of reliability, availability, maintainability and safety (RAMS) of train operation | |
| Karpuschenko et al. | Estimation of the life cycle cost of the upper railway track structure | |
| Hassan | Addis Ababa Institute of Technology (AAiT) School of Railway Civil Engineering Analyzing Addis Ababa Light Rail Transit Railway Operation Reliability |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220902 |