A configuration method of a detection engineering vehicle special for urban rail transit

By scientifically and rationally calculating the number and location requirements of engineering vehicles, and optimizing the configuration of urban rail transit engineering vehicles, the problems of resource waste and increased costs have been solved, and more efficient resource utilization has been achieved.

CN115730736BActive Publication Date: 2026-08-04GUANGZHOU METRO DESIGN & RES INST CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGZHOU METRO DESIGN & RES INST CO LTD
Filing Date
2022-11-30
Publication Date
2026-08-04

AI Technical Summary

Technical Problem

The current configuration of urban rail transit engineering vehicles is unreasonable, resulting in resource waste and increased costs, and there is a lack of scientific and reasonable configuration and usage plans.

Method used

By collecting route data, we can calculate the number and location requirements of engineering vehicles, optimize the operation process of engineering vehicles, and determine a reasonable configuration plan, including the calculation of the number of engineering vehicles and the selection of locations, and optimize resource allocation in combination with maintenance needs.

Benefits of technology

This has enabled a scientific and rational allocation of the number of engineering vehicles, reduced resource waste, saved costs, solved the problem of unreasonable allocation of engineering vehicles, and improved resource utilization efficiency.

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Abstract

The application provides a configuration method of a special detection engineering vehicle for urban rail transit, calculates operation requirements of each line, and comprises the following steps: firstly, collecting line length, engineering vehicle operation speed, night operation window length, reduction coefficient of night operation length, overhaul and major repair period, annual and monthly inspection period and deduction time of each special detection engineering vehicle, shortest single transfer distance, engineering vehicle transfer running speed, night running window length, reduction coefficient of night running length, and monthly average detection frequency on each line in the line network; then, respectively calculating operation detection days, monthly average deduction time, transfer time and engineering vehicle operation time; and finally, calculating the number of engineering vehicles in the line network according to the calculated data, which can effectively solve resource allocation problems, solve the site selection difficulty of regional multi-point dispersion, and further save maintenance cost.
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Description

Technical Field

[0001] This invention belongs to the field of rail transit technology, specifically relating to a method for configuring a special inspection vehicle for urban rail transit. Background Technology

[0002] Currently, urban rail transit is developing rapidly, with a significant increase in operating lines and mileage, and a growing number of engineering vehicles in operation. "Engineering vehicle" is a general term encompassing various types. The engineering vehicles used in subways mainly include diesel shunting locomotives, heavy railcars, overhead contact line inspection vehicles, rail grinding vehicles, overhead contact line laying vehicles, track flatcars, and hydraulic rail-laying vehicles. These different types of vehicles perform different tasks, whether it's shunting at the depot, mainline rescue operations, or maintenance of trackwork, electromechanical, and power supply facilities, all aimed at ensuring the normal operation of electric trains on the tracks and achieving the goal of safely and efficiently transporting passengers in urban rail transit.

[0003] The equipment configuration costs (approximately RMB 10.2 million, RMB 42 million, RMB 82 million, RMB 25 million, and RMB 10 million for track inspection vehicles, grinding vehicles, milling vehicles, flaw detection vehicles, and tunnel cleaning vehicles, respectively) and maintenance costs of engineering vehicles are substantial. However, the current configuration and use of engineering vehicles are still based on traditional experience and qualitative arrangements, resulting in unreasonable configuration and use, and wasted resources. Therefore, seeking a scientific and rational optimization solution for the number and location of engineering vehicles based on the operational needs of the line, and clarifying the operational procedures and maintenance requirements of engineering vehicles, is of great practical significance for the sustainable development of urban rail transit. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a method for configuring dedicated inspection vehicles for urban rail transit. It scientifically and rationally optimizes the number and location of inspection vehicles based on the operational needs of the line, and clarifies the operational procedures and maintenance requirements of the inspection vehicles, providing a technical solution for their configuration and use.

[0005] To achieve the above objectives, according to a first aspect of the present invention, a method for configuring dedicated inspection vehicles for urban rail transit includes the following steps for calculating the configuration quantity:

[0006] Step S1: Collect the line length, engineering vehicle operating speed, nighttime operation window duration, and nighttime operation duration reduction factor for each line on the network to be tested. Calculate the number of days required for one inspection operation for each line based on the collected data.

[0007] Step S2: Collect the shortest single track switching distance and the track switching speed of the engineering vehicle on the network. By collecting the shortest single track switching distance, track switching speed, nighttime operation window duration, and nighttime operation duration reduction coefficient, calculate the track switching time required for the engineering vehicle to travel from the depot of line i to the depot of another line j.

[0008] Step S3: Based on the number of days required for one inspection operation on each line calculated in Step S1, the transfer time required for the engineering vehicle to travel from the depot of line i to the depot of another line j calculated in Step S2, and the preset monthly average number of inspections, calculate the monthly average engineering vehicle operation time required on each line.

[0009] Step S4: Calculate and collect the major and medium repairs, annual and monthly inspection cycles and overhaul durations of each special inspection vehicle for the network under test. First, calculate the average annual maintenance demand for major and medium repairs, annual and monthly inspections of the vehicles, and then calculate the average monthly overhaul time.

[0010] Step S5: Calculate the number of engineering vehicles configured in the network based on the monthly average demand for engineering vehicle operation time and the monthly average deductible repair time calculated in steps S3 and S4.

[0011] Line i represents other lines in the network, and line j represents the line currently collecting data and performing calculations.

[0012] Steps S1, S2, and S4 are not executed in any particular order.

[0013] Preferably, the calculation formula for step S1 is:

[0014]

[0015] In the formula, To indicate the number of days for operational inspection of line j, the unit is days;

[0016] L j To represent the length of line j, the unit is km;

[0017] v represents the operating speed of the engineering vehicle, in km / h;

[0018] Δt represents the duration of the nighttime operation window for engineering vehicles, in hours per day.

[0019] β is the reduction factor for nighttime work hours. This factor is an empirical value estimated based on the efficiency of previous workers, and it is a unitless constant.

[0020] Preferably, the calculation formula for step S2 is:

[0021]

[0022] In the formula, The switching time between line i where the engineering vehicle is located and line j being inspected, in days;

[0023] D ij The shortest single-turn distance between line i and line j on the online network, in km;

[0024] v1 represents the speed at which the engineering vehicle switches tracks, in km / h.

[0025] Δt1 is the duration of the nighttime operation window for engineering vehicles, in hours per day;

[0026] β1 is the reduction factor for nighttime operating time. This factor is an empirical value estimated based on the efficiency of previous workers, and it is a unitless constant.

[0027] Preferably, the calculation formula for step S3 is:

[0028]

[0029] In the formula, T j The average monthly operating time of engineering vehicles required on line j, in days;

[0030] n is the monthly average number of tests set; this constant has no unit.

[0031] Preferably, the calculation formula for step S4 is:

[0032]

[0033]

[0034]

[0035]

[0036] T K ≥(Q DX ×d DX +Q ZX ×d ZX +Q nj ×d nj +Q yj ×d yj ) / 12, T K ∈N *

[0037] In the formula, T K The monthly deductible time for engineering vehicles, in days;

[0038] Q DX Q ZX Q nj Qyj The average annual maintenance demand for major and medium repairs and monthly inspections of engineering vehicles, in units of: vehicles;

[0039] ΔT DX ΔT ZX ΔT nj ΔT yj For major and medium repairs of engineering vehicles, the annual and monthly maintenance cycles are given, in units of years.

[0040] d DX d ZX d nj d yj For major and medium repairs of engineering vehicles, the annual and monthly inspection and repair time is measured in days.

[0041] Preferably, the calculation formula for step S5 is:

[0042]

[0043] In the formula, N represents the number of engineering vehicles configured in the network, in units of units;

[0044] The average monthly operating time of engineering vehicles for all lines in the network, in days;

[0045] T K The monthly deductible time for engineering vehicles, in days.

[0046] Preferably, the configuration method further includes step S10 of determining the configuration location of dedicated inspection vehicles, specifically: collecting the weights of fixed costs invested in the configuration locations of inspection vehicles in each depot of the network, the demand of the lines covered by the configuration locations of inspection vehicles, the scale of line inspection demand, and the distance between the configuration locations of inspection vehicles and line j; calculating the minimum value of the weighted sum of the round-trip transfer mileage of all maintenance vehicles from the configuration location to the maintenance line, and configuring the vehicle locations based on the result of the minimum value.

[0047] Preferably, in step S10, the formula for calculating the minimum value of the weighted sum of the round-trip transfer mileage of all maintenance engineering vehicles from the configuration location to the maintenance route is as follows:

[0048]

[0049] K = {k} represents the set of depots and parking lots of the railway network, and F = {f} represents the set of inspection routes for dedicated inspection vehicles.

[0050] In the formula: w k Assign a weight to each depot for the fixed cost of configuring inspection vehicles at the location. If k is a depot, take 1; if k is a parking lot, take the larger value.

[0051] y k,f It is a 0-1 variable, taking the value 1 when the location of the detection-type engineering vehicle at point k covers the requirements of line f, and 0 otherwise;

[0052] q f The unit for line f inspection requirements is: times.

[0053] D k,f The distance between the location of the inspection vehicle at point k and route f is expressed in km.

[0054] Preferably, the configuration method further includes the step of determining the maintenance workload and maintenance scale of the dedicated inspection engineering vehicle configuration, specifically:

[0055] Step S20: Collect data on the overhaul cycle of one engineering vehicle; calculate the average annual overhaul workload of N engineering vehicles in the network.

[0056] Step S30: Collect data on the mid-term maintenance cycle of one engineering vehicle; calculate the average annual mid-term maintenance workload of N engineering vehicles in the network:

[0057] Step S40: Based on the calculated average annual major and medium repair workload of N engineering vehicles, calculate the number of major and medium repair stations required for the engineering vehicle repair base:

[0058]

[0059] In the formula, N represents the number of network engineering vehicles, in units of vehicles;

[0060] Q DX The average annual overhaul workload for a single engineering vehicle, unit: vehicle / year;

[0061] ΔT DX The overhaul cycle for a construction vehicle, in years;

[0062] Average annual maintenance workload for N engineering vehicles:

[0063]

[0064] In the formula, N represents the number of network engineering vehicles, in units of vehicles;

[0065] Q ZX The average annual maintenance workload for a single engineering vehicle, unit: vehicle / year;

[0066] ΔT DX ΔT ZX The major and intermediate overhaul cycle for a single engineering vehicle, in years;

[0067] The number of major and minor repair stations required for the engineering vehicle repair base:

[0068] LD = (N×Q) DX ×d DX +N×Q ZX ×d ZX )×α1 / 250

[0069] In the formula, N represents the number of network engineering vehicles, in units of vehicles;

[0070] Q DX Q ZX The average annual major and medium repair workload of a single engineering vehicle, unit: vehicle / year;

[0071] ΔT DX ΔT ZX The major and intermediate overhaul cycle for a single engineering vehicle, in years;

[0072] d DX d ZX The time required for major and medium repairs of an engineering vehicle, in days;

[0073] α1 is the maintenance imbalance coefficient, which refers to the impact of uncertain factors on the utilization rate of maintenance stations. It affects the station utilization rate but not the maintenance workload. According to design specifications, its value is 1.1, and it is a unitless constant.

[0074] L D The number of maintenance stations is specified in the unit: station.

[0075] Compared with the prior art, the present invention provides a method for configuring a special inspection vehicle for urban rail transit, and the method thereof has at least the following advantages:

[0076] 1) By collecting various data from engineering vehicles and calculating relevant values, resource allocation problems can be effectively solved;

[0077] 2) By collecting data on the locations of engineering vehicles, relevant reasonable values ​​are calculated to solve the problem of difficult site selection in areas with multiple scattered locations.

[0078] 3) Determine the scale of maintenance based on the number of engineering vehicles and the maintenance schedule. Then, based on the accessibility of each vehicle depot in the network, select a vehicle depot that is convenient for picking up and dropping off vehicles as the engineering vehicle maintenance base. Configure the number of maintenance stations according to the actual situation to greatly save the trouble of vehicle transportation. Attached Figure Description

[0079] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0080] Figure 1 This is a step diagram illustrating the configuration method of a special inspection vehicle for urban rail transit according to the present invention. Detailed Implementation

[0081] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0082] In the description of this invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0083] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0084] Please see Figure 1 As shown, a method for configuring a dedicated inspection vehicle for urban rail transit includes the following steps:

[0085] Step S1: Collect the line length, engineering vehicle operating speed, nighttime operation window duration, and nighttime operation duration reduction factor for each line on the network to be tested. Calculate the number of days required for one inspection operation for each line based on the collected data.

[0086] The calculation formula for step S1 is as follows:

[0087]

[0088] In the formula, To indicate the number of days for operational inspection of line j, the unit is days;

[0089] L j To represent the length of line j, the unit is km;

[0090] v represents the operating speed of the engineering vehicle, in km / h;

[0091] Δt represents the duration of the nighttime operation window for engineering vehicles, in hours per day.

[0092] β is the reduction factor for nighttime work hours. This factor is an empirical value estimated based on the efficiency of previous workers, and it is a unitless constant.

[0093] Step S2: Collect the shortest single track switching distance and the track switching speed of the engineering vehicle on the network. By collecting the shortest single track switching distance, track switching speed, nighttime operation window duration, and nighttime operation duration reduction coefficient, calculate the track switching time required for the engineering vehicle to travel from the depot of line i to the depot of another line j.

[0094] Specifically, the transfer time required for an engineering vehicle to travel from the depot of line i to the depot of another line j means the shortest time for a special inspection engineering vehicle to reach line j from other lines. Line i is determined based on actual selection.

[0095] Specifically, the calculation formula for step S2 is as follows:

[0096]

[0097] In the formula, The switching time between line i where the engineering vehicle is located and line j being inspected, in days;

[0098] D ij The shortest single-turn distance between line i and line j on the online network, in km;

[0099] v1 represents the speed at which the engineering vehicle switches tracks, in km / h.

[0100] Δt1 is the duration of the nighttime operation window for engineering vehicles, in hours per day;

[0101] β1 is the reduction factor for nighttime operating time. This factor is an empirical value estimated based on the efficiency of previous workers, and it is a unitless constant.

[0102] Step S3: Based on Step S1, calculate the number of days required for one inspection operation on the line, and based on Step S2, calculate the transfer time between the line i where the engineering vehicle is located and the line j to be inspected. Combined with the preset monthly average number of inspections, calculate the monthly average engineering vehicle operation time required on the line using the obtained data.

[0103] The calculation formula for step S3 is: Calculate the average monthly required engineering vehicle operation time T on line j. j ;

[0104]

[0105] In the formula, T j The average monthly operating time of engineering vehicles required on line j, in days;

[0106] n is the monthly average number of tests set; this constant has no unit.

[0107] Step S4: Calculate and collect the major and medium repairs, annual and monthly inspection cycles and overhaul durations of each special inspection vehicle for the network under test. First, calculate the average annual maintenance demand for major and medium repairs, annual and monthly inspections of the vehicles, and then calculate the average monthly overhaul time.

[0108] The calculation formula for step S4 is as follows:

[0109]

[0110]

[0111]

[0112]

[0113] T K ≥(Q DX ×d DX +Q ZX ×d ZX +Q nj ×d nj +Q yj ×d yj ) / 12, T K ∈N *

[0114] In the formula, T K The monthly deductible time for engineering vehicles, in days;

[0115] Q DX Q ZX Q nj Q yj The average annual maintenance demand for major and medium repairs and monthly inspections of engineering vehicles, in units of: vehicles;

[0116] ΔT DX ΔT ZX ΔT nj ΔT yj For major and medium repairs of engineering vehicles, the annual and monthly maintenance cycles are given, in units of years.

[0117] d DX d ZX d nj d yj For major and medium repairs of engineering vehicles, the annual and monthly inspection and repair time is measured in days.

[0118] Step S5: Calculate the number of engineering vehicles configured in the network based on the data of the average monthly demand for engineering vehicles and the average monthly overhaul time;

[0119] The calculation formula for step S5 is: Calculate the number N of engineering vehicles configured in the network:

[0120]

[0121] In the formula, N represents the number of engineering vehicles configured in the network, in units of units;

[0122] The average monthly operating time of engineering vehicles for all lines in the network, in days;

[0123] T K The monthly deductible time for engineering vehicles, in days.

[0124] It is important to understand that line i represents other lines in the network, and line j represents the line currently collecting data and performing calculations.

[0125] It is important to understand that steps S1, S2, and S4 are not executed in any particular order.

[0126] The above steps allow for the scientific and rational quantitative allocation and optimization of the number of engineering vehicles, greatly saving the cost of purchasing excess engineering vehicles.

[0127] Please see Figure 1 As shown, in a preferred embodiment of the present invention, the configuration location of the dedicated inspection engineering vehicle is calculated. The configuration method further includes step S10 of determining the configuration location of the dedicated inspection engineering vehicle, which specifically involves: collecting the weights of the fixed costs invested in the configuration location of the inspection engineering vehicle in each depot of the network, the demand of the lines covered by the configuration location of the inspection engineering vehicle, the scale of line inspection demand, and the distance between the configuration location of the inspection engineering vehicle and line j; calculating the minimum value of the weighted sum of the round-trip transfer mileage of all maintenance engineering vehicles from the configuration location to the maintenance line, and configuring the vehicle location based on the result of the minimum value.

[0128] Specifically, the location scheme for the special inspection engineering vehicles can be obtained by constructing a multi-facility allocation model; let K = {k} represent the set of vehicle depots and parking lots, and F = {f} represent the set of inspection routes for the special inspection engineering vehicles.

[0129] Specifically, in step S10, the formula for the minimum value of the weighted sum of the round-trip transfer mileage of all maintenance engineering vehicles from the location to the maintenance route is:

[0130]

[0131] In the formula: w kAssign a weight to each depot for the fixed cost of configuring inspection vehicles at the location. If k is a depot, take 1; if k is a parking lot, take the larger value.

[0132] y k,f It is a 0-1 variable, taking the value 1 when the location of the detection-type engineering vehicle at point k covers the requirements of line f, and 0 otherwise;

[0133] Constraint 1: The locations covering route f must be the locations where inspection vehicles are deployed;

[0134]

[0135] In the formula: y k,f —A 0-1 variable, which takes the value 1 when the location of the detection-type engineering vehicle at point k covers the requirements of line f, and 0 otherwise;

[0136] x k —A 0-1 variable, which takes the value 1 when the vehicle depot at k is set as the location for the detection engineering vehicle, and 0 otherwise;

[0137] Constraint 2: There is only one location for the inspection vehicle covering line f;

[0138]

[0139] In the formula: y k,f —A 0-1 variable, which takes the value 1 when the location of the detection-type engineering vehicle at point k covers the requirements of line f, and 0 otherwise;

[0140] Constraint 3: The location of the inspection vehicle at point k must cover the needs of route f.

[0141]

[0142] In the formula: y k,f —A 0-1 variable, which takes the value 1 when the location of the detection-type engineering vehicle at point k covers the requirements of line f, and 0 otherwise;

[0143] x k —A 0-1 variable, which takes the value 1 when the vehicle depot at k is set as the location for the detection engineering vehicle, and 0 otherwise;

[0144] O k,f — A 0-1 variable representing the positional relationship between the depot and the maintenance line demand; it is set to 1 when the position of depot k matches the maintenance line demand f, and 0 otherwise.

[0145] Constraint 4: The sum of the number of locations where inspection vehicles are deployed is N;

[0146]

[0147] In the formula: x k —A 0-1 variable, which takes the value 1 when the vehicle depot at k is set as the location for the detection engineering vehicle, and 0 otherwise;

[0148] N – Number of engineering vehicles for wire network inspection, unit: units;

[0149] Constraint 5: The average monthly occupancy time of the engineering vehicle configured at point k shall not exceed a certain upper limit;

[0150]

[0151] In the formula: y k,f —A 0-1 variable, which takes the value 1 when the location of the engineering vehicle at point k covers the needs of line f, and 0 otherwise;

[0152] —Number of days for operational inspection of line f, in days;

[0153] —Duration of a single track switch between depot k and line f, in days;

[0154] n—average number of tests per month, a specific set value, a constant without units;

[0155] T k —Average monthly downtime for engineering vehicles, in days;

[0156] T max —The upper limit of the average monthly occupation time of engineering vehicles, in days;

[0157] Constraint 6: The maintenance requirement for line f is equal to the number of monthly inspections;

[0158]

[0159] In the formula: q f —Maintenance requirements for line f, unit: times;

[0160] n — the number of monthly inspections of line f, in units of times.

[0161] Please see Figure 1 As shown, in a preferred embodiment of the present invention, the calculation of the annual inspection and overhaul workload of the power grid engineering vehicle includes the following steps:

[0162] The configuration method also includes steps for determining the maintenance workload and scale of the dedicated inspection vehicle configuration, specifically:

[0163] Step S20: Collect data on the overhaul cycle of one engineering vehicle; calculate the average annual overhaul workload of N engineering vehicles in the network.

[0164] Step S30: Collect data on the mid-term maintenance cycle of one engineering vehicle; calculate the average annual mid-term maintenance workload of N engineering vehicles in the network:

[0165] Step S40: Based on the calculated average annual major and medium repair workload of N engineering vehicles, calculate the number of major and medium repair stations required for the engineering vehicle repair base:

[0166]

[0167] In the formula, N represents the number of network engineering vehicles, in units of vehicles;

[0168] Q DX The average annual overhaul workload for a single engineering vehicle, unit: vehicle / year;

[0169] ΔT DX The overhaul cycle for a construction vehicle, in years;

[0170] Average annual maintenance workload for N engineering vehicles:

[0171]

[0172] In the formula, N represents the number of network engineering vehicles, in units of vehicles;

[0173] Q ZX The average annual maintenance workload for a single engineering vehicle, unit: vehicle / year;

[0174] ΔT DX ΔT ZX The major and intermediate overhaul cycle for a single engineering vehicle, in years;

[0175] The number of major and minor repair stations required for the engineering vehicle repair base:

[0176] L D = (N×Q) DX ×d DX +N×Q ZX ×d ZX )×α1 / 250

[0177] In the formula, N represents the number of network engineering vehicles, in units of vehicles;

[0178] Q DX Q ZX The average annual major and medium repair workload of a single engineering vehicle, unit: vehicle / year;

[0179] ΔT DX ΔT ZX The major and intermediate overhaul cycle for a single engineering vehicle, in years;

[0180] d DX d ZXThe time required for major and medium repairs of an engineering vehicle, in days;

[0181] α1 is the maintenance imbalance coefficient, which refers to the impact of uncertain factors on the utilization rate of maintenance stations. It affects the station utilization rate but not the maintenance workload. According to design specifications, its value is 1.1, and it is a unitless constant.

[0182] L D The number of maintenance stations is specified in the unit: station.

[0183] Routine maintenance is generally carried out at the depot where the engineering vehicles are located, while major and intermediate overhauls require a dedicated overhaul area for engineering vehicles. When setting up an overhaul base for engineering vehicles, the scale of maintenance should first be determined based on the number of engineering vehicles and the maintenance schedule. Then, based on the accessibility of each depot within the network, a depot that is convenient for picking up and dropping off vehicles should be selected as the engineering vehicle maintenance base, and the number of overhaul stations should be allocated according to demand.

[0184] The positional relationships described in the figures are for illustrative purposes only and should not be construed as limiting the scope of this patent. Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention and are not intended to limit the implementation of the present invention.

[0185] For those skilled in the art, various other corresponding changes and modifications can be made based on the technical solutions and concepts described above, and all such changes and modifications should fall within the protection scope of the claims of this invention.

Claims

1. A configuration method of a detection engineering vehicle special for urban rail transit, characterized in that, Includes the following steps: Step S1: Collect the line length, engineering vehicle operating speed, nighttime operation window duration, and nighttime operation duration reduction factor for each line on the network to be tested. Calculate the number of days required for one inspection operation for each line based on the collected data. Step S2: Collect the shortest single track switching distance and the track switching speed of the engineering vehicle on the network. By collecting the shortest single track switching distance, track switching speed, nighttime operation window duration, and nighttime operation duration reduction coefficient, calculate the track switching time required for the engineering vehicle to travel from the depot of line i to the depot of another line j. Step S3: Based on the number of days required for one inspection operation on each line calculated in Step S1, the transfer time required for the engineering vehicle to travel from the depot of line i to the depot of another line j calculated in Step S2, and the preset monthly average number of inspections, calculate the monthly average engineering vehicle operation time required on each line. Step S4: Calculate and collect the major and medium repairs, annual and monthly inspection cycles and overhaul durations of each special inspection vehicle for the network under test. First, calculate the average annual maintenance demand for major and medium repairs, annual and monthly inspections of the vehicles, and then calculate the average monthly overhaul time. Step S5: Calculate the number of engineering vehicles configured in the network based on the monthly average demand for engineering vehicle operation time and the monthly average deductible repair time calculated in steps S3 and S4. Line i represents other lines in the network, and line j represents the line currently collecting data and performing calculations. Steps S1, S2, and S4 are not executed in any particular order.

2. The configuration method of the detection engineering vehicle for urban rail transit according to claim 1, characterized in that, include: The calculation formula for step S1 is as follows: In the formula, is the number of days of operation detection for line j, in days. L j Lj = length of line j, in km; v represents the operating speed of the engineering vehicle, in km / h; Δt represents the duration of the nighttime operation window for engineering vehicles, in hours per day. β is the reduction factor for nighttime work hours, a constant without units.

3. The configuration method of the detection engineering vehicle for urban rail transit according to claim 2, characterized in that, include: The calculation formula for step S2 is as follows: In the formula, is the transfer time between the line i where the engineering vehicle is located and the detected line j, unit: day; D ij D is the shortest single turn distance between line i and line j on the network, in km. v1 represents the speed at which the engineering vehicle switches tracks, in km / h. Δt1 is the duration of the nighttime operation window for engineering vehicles, in hours per day; β1 is the reduction factor for nighttime running time, a constant without units.

4. The configuration method of the detection engineering vehicle for urban rail transit according to claim 3, characterized in that, include: The calculation formula for step S3 is as follows: In the formula, T j is the monthly average demand engineering vehicle operating time on the line j, units: days; n is the monthly average number of tests set; this constant has no unit.

5. The configuration method of the detection engineering vehicle for urban rail transit according to claim 4, characterized in that, include: The calculation formula for step S4 is as follows: T K ≥(Q DX ×d DX +Q ZX ×d ZX +Q nj ×d nj +Q yj ×d yj ) / 12,T K ∈N * In the formula, T K The monthly deductible time for engineering vehicles, in days; Q DX Q ZX Q nj Q yj The average annual maintenance demand for major and medium repairs and monthly inspections of engineering vehicles, in units of: vehicles; ΔT DX ΔT ZX ΔT nj ΔT yj For major and medium repairs of engineering vehicles, the annual and monthly maintenance cycles are given, in units of years. d DX d ZX d nj d yj For major and medium repairs of engineering vehicles, the annual and monthly inspection and repair time is measured in days.

6. The method for configuring a dedicated inspection vehicle for urban rail transit according to claim 5, characterized in that, include: The calculation formula for step S5 is as follows: In the formula, N represents the number of engineering vehicles configured in the network, in units of units; The monthly average demand of the engineering vehicle operation time for all lines of the wire net, unit: day; T K The monthly deductible time for engineering vehicles, in days.

7. The configuration method of a detection engineering vehicle for urban rail transit according to claim 1, characterized in that, The configuration method further includes step S10 of determining the configuration location of dedicated inspection vehicles, which specifically involves: collecting the weights of fixed costs invested in the configuration locations of inspection vehicles in each depot of the network, the demand of the lines covered by the configuration locations of inspection vehicles, the scale of line inspection demand, and the distance between the configuration locations of inspection vehicles and line j; calculating the minimum value of the weighted sum of the round-trip transfer mileage of all maintenance vehicles from the configuration location to the maintenance line, and configuring the vehicle locations based on the result of the minimum value.

8. The configuration method of a detection engineering vehicle for urban rail transit according to claim 7, characterized in that, In step S10, the formula for calculating the minimum value of the weighted sum of the round-trip transfer mileage of all maintenance engineering vehicles from the location to the maintenance route is as follows: K = {k} represents the set of depots and parking lots of the rail network, and F = {f} represents the set of inspection routes for dedicated inspection vehicles. In the formula: w k Assign a weight to each depot for the fixed cost of configuring inspection vehicles at the location. If k is a depot, take 1; if k is a parking lot, take the larger value. y k,f It is a 0-1 variable, taking the value 1 when the location of the detection-type engineering vehicle at point k covers the requirements of line f, and 0 otherwise; q f The unit for line f inspection requirements is: times. D k,f The distance between the location of the inspection vehicle at point k and route f is expressed in km.

9. The configuration method of a detection engineering vehicle for urban rail transit according to claim 1, characterized in that, The configuration method also includes steps for determining the maintenance workload and scale of the dedicated inspection vehicle configuration, specifically: Step S20: Collect data on the overhaul cycle of one engineering vehicle; calculate the average annual overhaul workload of N engineering vehicles in the network. Step S30: Collect data on the overhaul cycle of an engineering vehicle; Calculate the average annual maintenance workload for N engineering vehicles in the power grid: Step S40: Based on the calculated average annual major and medium repair workload of N engineering vehicles, calculate the number of major and medium repair stations required for the engineering vehicle repair base: In the formula, N represents the number of network engineering vehicles, in units of vehicles; Q DX The average annual overhaul workload for a single engineering vehicle, unit: vehicle / year; ΔT DX The overhaul cycle for a construction vehicle, in years; Average annual maintenance workload for N engineering vehicles: In the formula, N represents the number of network engineering vehicles, in units of vehicles; Q ZX The average annual repair task quantity of an engineering vehicle is unit: set / year. ΔT DX , ΔT ZX is the large and medium repair cycle of an engineering vehicle, unit: year; The number of major and minor repair stations required for the engineering vehicle repair base: L D = (N x Q DX x d DX + N x Q ZX x d ZX ) x a1 / 250 In the formula, N represents the number of network engineering vehicles, in units of vehicles; Q DX , Q ZX The average annual large and medium repair task quantity of an engineering vehicle, unit: set / year; ΔT DX , ΔT ZX is the overhaul period of the engineering vehicle, unit: year; d DX 、d ZX For a long time, the unit is days; α1 is the maintenance imbalance coefficient, which refers to the impact of uncertain factors on the utilization rate of maintenance positions. It will affect the utilization rate of positions but not the maintenance workload. According to the design specifications, the value is 1.

1. The constant has no unit. L D For large and medium repair station number, unit: station.