A girder yard layout method and apparatus

Abstract

The application provides a girder yard plane layout method and device, which divides each function area of the girder yard into grades according to logistics relations and non-logistics relations based on a system arrangement planning algorithm, and calculates a comprehensive relation score, establishes a mathematical model of the girder yard function area layout based on the total transportation cost and the close degree of the function area connection according to the set shape of each function area, the required area, the arrangement rule and the comprehensive relation score between the function areas, constructs a non-overlapping constraint and a boundary constraint to minimize the boring transportation cost and maximize the close degree of the function area connection to construct an objective function, and solves the optimal function area layout scheme based on a genetic algorithm. The girder yard function area layout scheme is automatically, efficiently and quickly output, the time cost of manual trial and error and adjustment is reduced, and the design efficiency and quality are improved.

Description

Technical Field

[0001] This invention relates to the field of engineering control technology, and in particular to a method and apparatus for beam yard layout. Background Technology

[0002] In the process of large-scale railway construction, facing the enormous scale and numerous construction tasks, it is imperative to improve the standardization and normalization of railway construction work and comprehensively enhance the quality of railway engineering construction. As the construction of precast beam yards for railway engineering becomes more modern and complex, the traditional production methods of precast beam yard construction have constrained the production efficiency, product quality, and intelligent development of railway precast beam yards, and can no longer meet the needs of engineering construction. Applying information technology and intelligent technology to beam yard construction has become an inevitable trend.

[0003] High-speed railway bridge construction primarily relies on prefabrication at beam yards, supplemented by cast-in-place casting. This necessitates the construction of numerous prefabrication beam yards along the high-speed railway lines. Beam yards are characterized by large land areas and temporary nature; therefore, optimizing their layout is a crucial issue in construction management, directly impacting construction efficiency and on-site safety. Rational planning of beam yard layouts plays a vital role in saving land resources and improving on-site production efficiency. Currently, beam yard layouts in my country largely rely on manual planning based on the experience of construction workers, resulting in arbitrary layouts, low efficiency, insufficient resource utilization, and a lack of scientific theoretical guidance, leading to numerous drawbacks in high-speed railway construction projects. With the rapid development of railway projects, construction units urgently need new and scientific methods to guide railway beam yard planning and layout design, achieving optimal resource combinations and the best layout schemes to meet on-site construction needs. Summary of the Invention

[0004] In view of this, embodiments of the present invention provide a beam yard layout method and apparatus to eliminate or improve one or more defects existing in the prior art, and solve the problems of low efficiency and insufficient resource utilization caused by the prior art's manual planning of beam yard functional area layout based on the experience of construction personnel.

[0005] One aspect of the present invention provides a method for the planar layout of a beam yard, the method comprising the following steps:

[0006] Collect raw data from the target beam yard. This raw data includes production object elements, production quantity elements, production route elements, production auxiliary elements, and time elements determined based on the railway beam yard design plan and capacity requirements. Specifically, the production object elements record beam type, specifications, quantity, and required functional area type; the production quantity elements record capacity requirements; the production route elements record the logistics relationships between different functional areas; the production auxiliary elements record the auxiliary equipment and facilities required for each functional area; and the time elements record the production stage time points and cycles based on the construction period. The functional area types at least include a beam fabrication area, beam storage area, beam lifting and bridge loading area, rebar processing area, concrete mixing area, sand and gravel yard, and office and living area.

[0007] The functional areas of the target beam yard are divided into multiple levels based on the strength of their logistical relationships and assigned a first score, and also divided into multiple levels based on the degree of necessity of their adjacency in non-logistical relationships and assigned a second score; the degree of necessity of adjacency is determined based on process flow, regulatory requirements, operational safety, personnel communication, and noise impact.

[0008] A comprehensive relationship score is calculated between each pair of functional areas based on a set weight, combining the first score and the second score.

[0009] Based on the production object elements, production quantity elements, production route elements, production auxiliary elements, and time elements recorded in the original data, calculate the required area for each functional area;

[0010] Based on the set shape of each functional area, the required area, the arrangement rules, and the comprehensive relationship score between each functional area, a mathematical model of beam yard functional area layout based on total transportation cost and functional area connection is established. Non-overlapping constraints and boundary constraints are constructed to construct an objective function that minimizes the transportation cost and maximizes the functional area connection. The solution is obtained based on a genetic algorithm.

[0011] The shapes and positions of the functional areas obtained by the genetic algorithm are modeled using BIM and simulated in production. The layout scheme of each functional area is then fine-tuned and determined based on the simulation results.

[0012] In some embodiments, a comprehensive relationship score is calculated between each pair of functional areas based on a set weight, combining the first score and the second score. The calculation formula is as follows:

[0013] K = aM + bN;

[0014] Wherein, K represents the comprehensive relationship score between the two functional areas, M represents the first score between the two functional areas, N represents the second score between the two functional areas; a and b are weighting coefficients.

[0015] In some embodiments, the required area for each functional area is calculated based on the production object element, production quantity element, production route element, production auxiliary element, and time element recorded in the original data, including:

[0016] The steps for calculating the area of ​​the beam fabrication zone are as follows:

[0017] The formula for calculating the number of beam fabrication platforms is as follows:

[0018]

[0019] Where M1 is the number of beam fabrication platforms, d is the prefabrication cycle of a single beam, N is the number of beams produced at the beam yard, and D is the construction period;

[0020] The area of ​​the beam fabrication zone is calculated using the following formula:

[0021] S 制梁区 =M1×S1;

[0022] Where S1 is the area required for a single pedestal;

[0023] The steps to calculate the area of ​​the beam storage area are as follows:

[0024] The formula for calculating the number of beam storage pedestals is as follows:

[0025] M2 = T × η;

[0026] Where M2 is the number of beam storage platforms, T is the minimum storage time of the precast beam on the beam storage platform, and η is the number of precast beams produced in the beam production area in one day;

[0027] The area of ​​the beam storage area is calculated using the following formula:

[0028] S 存梁区 =M2×S2;

[0029] Where S2 is the area required for a single beam storage platform;

[0030] The area of ​​the bridge section above the lifting beam is calculated using the following formula:

[0031] S 提梁上桥区 =M3×S3;

[0032] Wherein, M3 represents the number of precast beams that are lifted onto the bridge in one day; S3 represents the area of ​​a single precast beam;

[0033] The steps for calculating the area of ​​the steel bar processing area are as follows:

[0034] The daily steel reinforcement demand is calculated using the following formula:

[0035] Wtotal-steel =M4×W steel ;

[0036] Among them, W steel M4 represents the amount of steel reinforcement required for a single precast beam, M4 represents the daily production volume of the precast beams, and W represents the amount of steel reinforcement required for a single precast beam. total-steel This indicates the total amount of steel bars required daily.

[0037] The required amount of steel bar production equipment is calculated using the following formula:

[0038]

[0039] Among them, M steel C represents the required amount of steel bar production equipment. steel This indicates the daily steel bar production volume of a single steel bar production unit.

[0040] The area of ​​the steel bar processing area is calculated using the following formula:

[0041] S 钢筋加工区 =M steel ×S4;

[0042] Wherein, S4 is the area of ​​a single steel bar production device;

[0043] The steps for calculating the area of ​​the concrete mixing zone are as follows:

[0044] The formula for calculating the total daily concrete demand is as follows:

[0045] W total-concrete =M4×W concrete ;

[0046] Among them, W concrete M4 represents the amount of concrete required for a single precast beam, M4 represents the daily production volume of the precast beams, and W represents the amount of concrete required for a single precast beam. total-concrete This indicates the total amount of steel bars required daily.

[0047] The required number of concrete mixing plants can be calculated using the following formula:

[0048]

[0049] Among them, M concrete Indicates the required number of concrete batching plants, C concrete This indicates the amount of concrete produced per day by a single concrete mixing plant.

[0050] The area of ​​the concrete mixing zone is calculated using the following formula:

[0051] S 混凝土搅拌区 =M concrete ×S5;

[0052] Wherein, S5 is the area of ​​a single concrete mixing plant;

[0053] The steps for calculating the area of ​​the sand and gravel quarry are as follows:

[0054] The formula for calculating the total daily demand for sand and gravel is as follows:

[0055] V daily-aggregate =M4×V aggregate ;

[0056] Among them, V aggregate M4 represents the amount of sand and gravel required for a single precast beam, M4 represents the daily production volume of the precast beam, and V represents the amount of sand and gravel required. daily-aggregate This indicates the total amount of sand and gravel required daily.

[0057] The total storage capacity required for the sand and gravel quarry is calculated using the following formula:

[0058] V total-aggregate =V daily-aggregate ×D×P;

[0059] Among them, V total-aggregate Where D is the total storage capacity required for the sand and gravel quarry, P is the storage period, and P is the safety reserve factor.

[0060] The area of ​​the sand and gravel quarry is calculated using the following formula:

[0061]

[0062] Among them, C area This indicates the amount of sand and gravel stockpiled per unit area;

[0063] Furthermore, the area of ​​the office and living area is configured according to railway construction standards.

[0064] In some embodiments, based on the defined shape of each functional area, the required area, and the arrangement rules, a mathematical model of the beam yard functional area layout based on the total handling cost and the degree of connection between functional areas is established. Non-overlapping constraints and boundary constraints are constructed to build an objective function that minimizes the cost of unnecessary handling and maximizes the degree of connection between functional areas. The model is then solved using a genetic algorithm, including:

[0065] The beam yard area and each functional area are rectangular in shape, with each functional area arranged in rows and parallel to the horizontal side of the beam yard area.

[0066] Let the length of the beam yard area be L and the width be B; let the length of the i-th functional area be h. i Width is v i The x-coordinate of the center of the i-th functional area is x. i The vertical axis is y i The length of the j-th functional area is h. j Width is vj The x-coordinate of the center is x j The vertical axis is y j ;

[0067] Construct the objective function as follows:

[0068]

[0069] d ij =|x i -x j |+|y i -y j |;

[0070] Where F1 represents the total transportation cost function for each functional area; F2 represents the integration and tightness function for each functional area; f ij c represents the amount of material between functional area i and functional area j; ij d represents the unit material handling cost between functional area i and functional area j; ij b represents the distance between the center of functional area i and the center of functional area j; ij V represents the adjacency degree between functional area i and functional area j; ij The degree of correlation between functional area i and function j is represented by the comprehensive relationship score between each functional area; b ij Values ​​are assigned based on the distance between functional zones;

[0071] The expression for the non-overlapping constraint is:

[0072]

[0073] The boundary constraint expression is:

[0074]

[0075] Among them, dh ij dv represents the distance between two functional areas along the horizontal axis. ij h represents the distance between two functional areas along the vertical axis. m h represents the length of the leftmost functional area in the layout. l Indicates the length of the rightmost functional area in the layout; v p This indicates the width of the bottommost functional area in the layout, v q This indicates the width of the topmost functional area in the layout.

[0076] In some embodiments, the distance between two functional areas is in the range (0, d). max When the interval is / 6], b ij The value is assigned to 1; the distance between the two functional areas is (d max / 6,d maxWhen the interval is / 3], b ij The value is assigned to 0.8; the distance between the two functional areas is (d max / 3,d max When the interval is [ / 2], b ij The value is assigned to 0.6; the distance between the two functional areas is (d max / 2,2d max When the interval is / 3], b ij The value is assigned to 0.4; the distance between the two functional areas is (2d). max / 3, 5d max When the interval is / 6], b ij The value is assigned to 0.2; the distance between the two functional areas is (5d). max / 6,d max When the interval is ], b ij Assign a value of 0.2; d max For quantitative parameters;

[0077] V ij Values ​​are assigned according to the relationship level between each functional area. Specifically, the relationship level between two functional areas is divided into 6 levels from high to low, and the values ​​are assigned as 1, 0.8, 0.6, 0.4, 0.2 and 0 respectively.

[0078] In some embodiments, the fitness function used in the genetic algorithm to evaluate the quality of individuals is calculated as follows:

[0079]

[0080] Among them, F 1min f represents the minimum total cost. ij (x) represents the area where functional zones i and j intersect;

[0081] The penalty conditions are:

[0082]

[0083] When f1(x)×f2(x)=0, that is, f ij If (x) = 0, then no penalty will be imposed;

[0084] When f1(x)×f2(x)≠0, that is, f ij If (x)≠0, then a penalty is imposed;

[0085] Where f1(x) represents the length of the overlapping part of functional areas i and j, and f2(x) represents the width of the overlapping part of functional areas i and j.

[0086] In some embodiments, the population size in the genetic algorithm is 100 to 1000; the genetic algorithm sets the crossover probability of individuals to 0.3 to 0.9 and the mutation probability to 0.005 to 0.1.

[0087] On the other hand, the present invention also provides a beam yard plan layout device, including a processor, a memory, and a computer program / instructions stored in the memory, wherein the processor is used to execute the computer program / instructions, and when the computer program / instructions are executed, the device implements the steps of the above method.

[0088] On the other hand, the present invention also provides a computer-readable storage medium having a computer program / instructions stored thereon, characterized in that the computer program / instructions, when executed by a processor, implement the steps of the above-described method.

[0089] On the other hand, the present invention also provides a computer program product, including a computer program / instructions, characterized in that the computer program / instructions, when executed by a processor, implement the steps of the above-described method.

[0090] The beneficial effects of the present invention are at least as follows:

[0091] The beam yard layout method and apparatus of this invention, based on the System Layout Planning (SLP) algorithm, classifies and scores the functional areas of the beam yard according to their logistical and non-logistical relationships, calculating a comprehensive relationship score. Based on the defined shape of each functional area, its required area, arrangement rules, and the comprehensive relationship scores between functional areas, a mathematical model for the layout of beam yard functional areas is established, considering both total handling costs and the tightness of functional area connections. Non-overlapping constraints and boundary constraints are constructed to minimize unnecessary handling costs and maximize the tightness of functional area connections, forming an objective function. A genetic algorithm is then used to solve for the optimal functional area layout scheme. This achieves automated, efficient, and rapid output of beam yard functional area layout schemes, reducing the time cost of manual trial and error and adjustments, and improving design efficiency and quality.

[0092] Additional advantages, objects, and features of the invention will be set forth in part in the description which follows, and will also become apparent in part to those skilled in the art upon studying the description, or may be learned by practice of the invention. The objects and other advantages of the invention can be realized and obtained by means of the structures specifically pointed out in the description and drawings.

[0093] Those skilled in the art will understand that the objectives and advantages achievable with the present invention are not limited to those specifically described above, and that the above and other objectives achievable with the present invention will become clearer from the following detailed description. Attached Figure Description

[0094] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, are not intended to limit the scope of the invention. In the drawings:

[0095] Figure 1This is a flowchart illustrating the beam yard planar layout method based on improved SLP according to an embodiment of the present invention.

[0096] Figure 2 This is a diagram showing the logistics relationship between functional areas in the beam yard layout method based on improved SLP, as described in an embodiment of the present invention.

[0097] Figure 3 This is a diagram showing the non-material relationship between functional areas in the beam yard plan layout method based on improved SLP, as described in an embodiment of the present invention.

[0098] Figure 4 This is a comprehensive functional area relationship diagram in the beam yard plan layout method based on improved SLP according to an embodiment of the present invention.

[0099] Figure 5 This is a diagram showing the location of functional areas in a beam yard based on an improved SLP-based beam yard layout method according to an embodiment of the present invention.

[0100] Figure 6 This is a schematic diagram of the functional area distribution relationship in the beam yard plan layout method based on improved SLP according to an embodiment of the present invention. Detailed Implementation

[0101] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the embodiments and accompanying drawings. Here, the illustrative embodiments and descriptions of this invention are used to explain the invention, but are not intended to limit the invention.

[0102] It should also be noted that, in order to avoid obscuring the invention with unnecessary details, only the structures and / or processing steps closely related to the solution according to the invention are shown in the accompanying drawings, while other details that are not closely related to the invention are omitted.

[0103] It should be emphasized that the term "including / comprises" as used herein refers to the presence of a feature, element, step, or component, but does not exclude the presence or addition of one or more other features, elements, steps, or components.

[0104] It should also be noted that, unless otherwise specified, the term "connection" in this article can refer not only to a direct connection, but also to an indirect connection involving an intermediary.

[0105] Currently, the layout of railway beam yards largely relies on the experience of construction workers for manual planning, resulting in problems such as arbitrary layout, low efficiency, insufficient resource utilization, and a lack of scientific theoretical guidance, leading to numerous drawbacks in high-speed railway construction projects. This invention proposes an optimized beam yard layout scheme based on the System Layout Planning (SLP) algorithm, achieving the optimal resource combination and best layout scheme for the beam yard to meet the needs of on-site engineering construction.

[0106] Specifically, one aspect of the present invention provides a beam yard plan layout method, the method comprising the following steps S101 to S106:

[0107] Step S101: Collect the original data of the target beam yard. The original data includes production object elements, production quantity elements, production route elements, production auxiliary elements, and time elements determined according to the railway beam yard design plan and capacity requirements. Among them, the production object elements record the beam type, specifications, quantity, and required functional area type; the production quantity elements record the capacity requirements; the production route elements record the logistics relationship between different functional areas; the production auxiliary elements record the auxiliary equipment and facilities required for each functional area; the time elements record the production stage time points and cycles based on the construction period; the functional area types include at least the beam fabrication area, beam storage area, beam lifting and bridge loading area, steel bar processing area, concrete mixing area, sand and gravel yard, and office and living area.

[0108] Step S102: Divide the functional areas of the target beam yard into multiple levels according to the strength of the logistics relationship and assign a first score, and divide them into multiple levels according to the degree of adjacent necessity in non-logistic relationship and assign a second score; the degree of adjacent necessity is determined based on process flow, regulatory requirements, operational safety, personnel communication and noise impact.

[0109] Step S103: Calculate the comprehensive relationship score between each pair of functional areas based on the set weights and the combined first and second scores.

[0110] Step S104: Calculate the required area for each functional area based on the production object elements, production quantity elements, production route elements, production auxiliary elements, and time elements recorded in the original data.

[0111] Step S105: Based on the set shape, required area, arrangement rules, and comprehensive relationship scores between each functional area, establish a mathematical model of beam yard functional area layout based on total transportation cost and functional area connection tightness. Construct non-overlapping constraints and boundary constraints to construct an objective function that minimizes the transportation cost and maximizes the functional area connection tightness, and solve it based on a genetic algorithm.

[0112] Step S106: The shape and location of each functional area obtained by the genetic algorithm are modeled using BIM and production is simulated. The layout scheme of each functional area is then fine-tuned and determined based on the simulation results.

[0113] In step S101, the original data of the target beam yard is the fundamental element of the problem scenario, clarifying the objects and constraints to be optimized in the specific scenario, and providing the prerequisites for handling the target beam yard layout optimization problem. The type of functional area can be set according to the needs of the actual scenario. The production, logistics, and management relationships between each functional area...

[0114] In step S102, the logistics relationships between functional areas can be classified according to intensity into ultra-high logistics intensity, high logistics intensity, relatively high logistics intensity, general logistics intensity, and negligible logistics intensity, and assigned scores from high to low according to the corresponding levels. Non-logistics relationships are classified according to process flow, regulatory requirements, operational safety, personnel connections, and noise impact into absolutely necessary proximity, very necessary proximity, important, general, and unimportant, and assigned scores from high to low according to the corresponding levels.

[0115] In step S103, the first and second scores of logistics relationship and non-logistics relationship are weighted by a 2:1 weighting to obtain the comprehensive relationship score between each pair of functional areas.

[0116] In some embodiments, a comprehensive relationship score is calculated between each pair of functional areas based on a set weighted first score and a second score, as follows:

[0117] K = aM + bN;

[0118] Where K represents the overall relationship score between the two functional areas, M represents the first score between the two functional areas, and N represents the second score between the two functional areas; a and b are weighting coefficients. In some embodiments, a:b = 2:1.

[0119] In step S104, based on the production object elements, production quantity elements, production route elements, production auxiliary elements, and time elements recorded in the original data, the required area for each functional area is calculated, including:

[0120] 1) Calculate the area of ​​the beam fabrication zone, the steps are as follows:

[0121] 1.1 Calculate the number of beam fabrication platforms. The calculation formula is:

[0122]

[0123] Where M1 is the number of beam fabrication platforms, d is the prefabrication cycle of a single beam, N is the number of beams produced at the beam yard, and D is the construction period.

[0124] 1.2 Calculate the area of ​​the beam fabrication zone using the following formula:

[0125] S 制梁区 =M1×S1;

[0126] Where S1 is the area required for a single pedestal.

[0127] 2) Calculate the area of ​​the beam storage area, the steps are as follows:

[0128] 2.1 Calculate the number of beam storage platforms. The calculation formula is:

[0129] M2 = T × η;

[0130] Where M2 is the number of beam storage platforms, T is the minimum storage time of the precast beam on the beam storage platform, and η is the number of precast beams produced in the beam production area in one day.

[0131] 2.2 Calculate the area of ​​the beam storage area using the following formula:

[0132] S 存梁区 =M2×S2;

[0133] Where S2 is the area required for a single beam storage platform.

[0134] 3) Calculate the area of ​​the bridge section above the lifting beam. The calculation formula is:

[0135] S 提梁上桥区 =M3×S3;

[0136] Where M3 represents the number of precast beams that are lifted onto the bridge in one day; S3 represents the area of ​​a single precast beam.

[0137] 4) Calculate the area of ​​the rebar processing area, the steps are as follows:

[0138] 4.1 Calculate the daily steel reinforcement demand using the following formula:

[0139] W total-steel =M4×W steel ;

[0140] Among them, W steel M4 represents the amount of steel reinforcement required for a single precast beam, M4 represents the daily production volume of precast beams, and W represents the amount of steel reinforcement required. total-steel This indicates the total amount of steel bars required daily.

[0141] 4.2 Calculate the required amount of steel bar production equipment. The calculation formula is as follows:

[0142]

[0143] Among them, M steel C represents the required amount of steel bar production equipment. steel This indicates the daily steel bar production volume of a single steel bar production machine.

[0144] 4.3 Calculate the area of ​​the steel reinforcement processing area using the following formula:

[0145] S 钢筋加工区 =M steel ×S4;

[0146] Wherein, S4 is the area of ​​a single steel bar production device;

[0147] 5) Calculate the area of ​​the concrete mixing zone, the steps are as follows:

[0148] 5.1 Calculate the total daily concrete demand using the following formula:

[0149] W total-concrete =M4×W concrete ;

[0150] Among them, W concrete M4 represents the amount of concrete required for a single precast beam, M4 represents the daily production volume of precast beams, and W represents the amount of concrete required. total-concrete This indicates the total amount of steel bars required daily.

[0151] 5.2 Calculate the required number of concrete mixing plants. The calculation formula is as follows:

[0152]

[0153] Among them, M concrete Indicates the required number of concrete batching plants, C concrete This indicates the amount of concrete produced per day by a single concrete mixing plant.

[0154] 5.3 Calculate the area of ​​the concrete mixing zone using the following formula:

[0155] S 混凝土搅拌区 =M concrete ×S5;

[0156] S5 represents the area of ​​a single concrete mixing plant.

[0157] 6) Calculate the area of ​​the sand and gravel yard, the steps are as follows:

[0158] 6.1 Calculate the total daily demand for sand and gravel using the following formula:

[0159] V daily-aggregate =M4×V aggregate ;

[0160] Among them, V aggregate M4 represents the amount of sand and gravel required for a single precast beam, M4 represents the daily production volume of precast beams, and V represents... daily-aggregate This indicates the total amount of sand and gravel required daily.

[0161] 6.2 Calculate the total storage capacity required for the sand and gravel quarry. The calculation formula is as follows:

[0162] V total-aggregate =V daily-aggregate ×D×P;

[0163] Among them, V total-aggregate Where is the total storage capacity required for the sand and gravel quarry, D is the storage period, and P is the safety reserve factor.

[0164] 6.3 Calculate the area of ​​the sand and gravel quarry using the following formula:

[0165]

[0166] Among them, C area This indicates the amount of sand and gravel stockpiled per unit area;

[0167] 7) The office and living area area is configured according to railway construction standards. First, determine the number of personnel to be accommodated, including management personnel, engineering technicians, construction workers, and living service personnel. Then, based on the area requirements for each function, determine the areas for offices, meeting rooms, dormitories, canteens and kitchens, toilets and bathrooms, medical rooms, and rest rooms, etc. These requirements are typically based on specific railway construction standards and national regulations, such as the *Code for Fire Protection Design of Buildings* GB50016-2014, *Railway Engineering Construction Standards* TB 10401, and *Construction Project Management Standards* GB / T 50326. Finally, sum the area requirements of each functional area to obtain the total area of ​​the office and living area.

[0168] In step S105, based on the set shape, required area, and arrangement rules of each functional area, a mathematical model of the beam yard functional area layout based on the total handling cost and the tightness of the functional area connections is established. Non-overlapping constraints and boundary constraints are constructed to construct the objective function to minimize the cost of unnecessary handling and maximize the tightness of the functional area connections. The objective function is solved based on a genetic algorithm, including steps S201 to S20:

[0169] Step S201: Make the beam yard area and each functional area rectangular, and arrange each functional area in rows, parallel to the horizontal side of the beam yard area.

[0170] Step S202: Let the length of the beam yard area be L and the width be B; let the length of the i-th functional area be h. i Width is v i The x-coordinate of the center of the i-th functional area is x. i The vertical axis is y i The length of the j-th functional area is h. j Width is v j The x-coordinate of the center is x j The vertical axis is y j .

[0171] Step S203: Construct the objective function as follows:

[0172]

[0173] d ij =|x i -x j |+|y i -y j |;

[0174] Where F1 represents the total transportation cost function for each functional area; F2 represents the integration and tightness function for each functional area; f ij c represents the amount of material between functional area i and functional area j; ij d represents the unit material handling cost between functional area i and functional area j; ij b represents the distance between the center of functional area i and the center of functional area j; ij V represents the adjacency degree between functional area i and functional area j; ij The degree of correlation between functional area i and function j is represented by the comprehensive relationship score between each functional area; b ij Values ​​are assigned based on the distance between functional zones.

[0175] Step S204: The expression for the non-overlapping constraint is:

[0176]

[0177] Step S205: The boundary constraint expression is:

[0178]

[0179]

[0180] Among them, dh ij dv represents the distance between two functional areas along the horizontal axis. ij h represents the distance between two functional areas along the vertical axis. m h represents the length of the leftmost functional area in the layout. l Indicates the length of the rightmost functional area in the layout; v p This indicates the width of the bottommost functional area in the layout, v q This indicates the width of the topmost functional area in the layout.

[0181] In some embodiments, the distance between two functional areas is in the range (0, d). max When the interval is / 6], b ij The value is assigned to 1; the distance between the two functional areas is (d max / 6,d max When the interval is / 3], b ij The value is assigned to 0.8; the distance between the two functional areas is (d max / 3,d max When the interval is [ / 2], b ij The value is assigned to 0.6; the distance between the two functional areas is (d max / 2,2d max When the interval is / 3], b ij The value is assigned to 0.4; the distance between the two functional areas is (2d). max / 3, 5d maxWhen the interval is / 6], b ij The value is assigned to 0.2; the distance between the two functional areas is (5d). max / 6,d max When the interval is ], b ij Assign a value of 0.2; d max For quantitative parameters;

[0182] V ij Values ​​are assigned according to the relationship level between each functional area. Specifically, the relationship level between two functional areas is divided into 6 levels from high to low, and the values ​​are assigned as 1, 0.8, 0.6, 0.4, 0.2 and 0 respectively.

[0183] In some embodiments, the fitness function used to evaluate the quality of individuals in a genetic algorithm is calculated as follows:

[0184]

[0185] Among them, F 1min f represents the minimum total cost. ij (x) represents the area where functional zones i and j intersect;

[0186] The penalty conditions are:

[0187]

[0188] When f1(x)×f2(x)=0, that is, f ij If (x) = 0, then no penalty will be imposed.

[0189] When f1(x)×f2(x)≠0, that is, f ij If (x)≠0, then a penalty will be imposed.

[0190] Where f1(x) represents the length of the overlapping part of functional areas i and j, and f2(x) represents the width of the overlapping part of functional areas i and j.

[0191] In some embodiments, the population size in the genetic algorithm is 100 to 1000; the crossover probability of individuals is set to 0.3 to 0.9, and the mutation probability is set to 0.005 to 0.1.

[0192] In step S106, after the initial shape and position of each functional area are obtained through genetic algorithm optimization, the layout scheme is simulated and analyzed using BIM modeling and production simulation. Based on the analysis results, fine-tuning is performed, and finally the optimized layout scheme is determined to ensure the efficiency and safety of the production process.

[0193] On the other hand, the present invention also provides a beam yard plan layout device, including a processor, a memory, and a computer program / instructions stored in the memory, wherein the processor is used to execute the computer program / instructions, and when the computer program / instructions are executed, the device implements the steps of the above method.

[0194] On the other hand, the present invention also provides a computer-readable storage medium having a computer program / instructions stored thereon, characterized in that the computer program / instructions, when executed by a processor, implement the steps of the above-described method.

[0195] On the other hand, the present invention also provides a computer program product, including a computer program / instructions, characterized in that the computer program / instructions, when executed by a processor, implement the steps of the above-described method.

[0196] The present invention will now be described with reference to a specific embodiment:

[0197] This embodiment proposes an improved SLP-based beam yard layout method. After obtaining the functional area relationships from the initial beam yard layout using the traditional SLP method, this method abandons the traditional manual layout adjustment method, establishes a mathematical model of the functional area layout, and uses a genetic algorithm to solve for the optimal layout scheme. This overcomes the shortcomings of the traditional SLP method, which relies too much on human experience and has too many constraints, improves the selection ability of the genetic algorithm, reduces errors caused by randomness, and ensures population diversity while selecting the best individuals, thus solving for the optimal layout of the beam yard and ultimately achieving the goal of minimizing material handling costs and maximizing the tightness of connections. Simultaneously, a BIM model of each functional area of ​​the beam yard is established. The horizontal and vertical coordinates of the center of each functional area are obtained according to the improved algorithm, and each functional area is moved to the designated coordinate point to simulate actual on-site production. This avoids secondary handling and cross-collision of components on the construction site, reduces project costs and safety hazards, and improves the efficiency of on-site layout design and 3D visualization management.

[0198] like Figure 1 As shown, the detailed technical solution is as follows:

[0199] Based on the railway beam yard design plan and capacity requirements, five basic elements of the railway beam yard layout are determined: P (Production Object), Q (Production Quantity), R (Production Route), S (Production Support), and T (Time). Then, the logistical and non-logistical relationships between the various functional areas of the beam yard are analyzed, resulting in a comprehensive functional area relationship analysis table and a location correlation diagram of the work units. Based on this, the area of ​​each functional zone of the beam yard is determined according to relevant railway standards, and a mathematical model is established to solve for the center coordinates of each functional area using an improved SLP algorithm. Finally, BIM technology is used to simulate actual on-site production, eliminating cross-collisions during operations in each functional area and accurately obtaining the optimal layout scheme. The specific steps are as follows:

[0200] Step 1: Collection of raw data.

[0201] Step 2: Division of functional areas of the beam yard (analysis of logistics and non-logistics relationships in each functional area).

[0202] Step 3: Comprehensive relationship analysis of each functional area.

[0203] Step 4: Draw a diagram showing the location of each functional area.

[0204] Step 5: Calculate the area of ​​each functional area.

[0205] Step 6: Establish a mathematical model of the beam field.

[0206] Step 7: Select the fitness function and set the population size, crossover probability, and mutation probability.

[0207] Step 8: Use the improved SLP algorithm to solve for the center coordinates of each functional area of ​​the beam yard.

[0208] Step 9: Use BIM technology to simulate construction and production, avoid cross-collisions, and accurately obtain the optimal layout scheme.

[0209] A) Division of Functional Zones in the Beam Yard

[0210] Based on the production process of precast beams at a railway beam yard, the internal functional areas of the beam yard are divided into seven areas: beam fabrication area, beam storage area, beam lifting and bridge loading area, steel bar processing area, concrete mixing area, sand and gravel yard, and office and living area.

[0211] B) Analysis of Logistics Relationships in the Functional Areas of the Beam Yard

[0212] Based on the work requirements and logistics intensity between each functional area, the logistics situation between each functional area is determined. Logistics intensity is divided into five levels, represented by the symbols A, E, I, O, and U. The meaning of each symbol is shown in Table 1, and a logistics correlation diagram of the functional areas is drawn accordingly. Figure 2 As shown.

[0213] Table 1 Logistics Relationship Level Table

[0214] symbol Logistics Intensity Level Score A Ultra-high logistics intensity 4 E High logistics intensity 3 I High logistics intensity 2 O General logistics intensity 1 U Negligible logistics intensity 0

[0215] C) Analysis of Non-Logistics Relationships in Beam Yard Functional Areas

[0216] When considering the non-logistic relationships between the functional areas of the precast beam yard, the factors that need to be analyzed include the process flow between functional areas, personnel communication, convenience of supervision and management, and environmental safety. The evaluation level table is shown in Table 2.

[0217] Table 2 Evaluation Table of Non-Logistics Relationships

[0218] symbol Reasons for proximity 1 Process Flow 2 Convenient supervision and management 3 Work safety 4 Contact Personnel 5 Noise impact

[0219] The non-logistic relationships in the qualitative analysis are also represented by five strength levels: A, E, I, O, and U; their specific meanings are shown in Table 3. Based on the non-logistic relationships and evaluation rationale, a non-logistic relationship diagram of the beam yard functional areas is drawn, as shown below. Figure 3 As shown.

[0220] Table 3 Non-Logistics Relationship Level Table

[0221]

[0222]

[0223] D) Comprehensive Relationship Analysis of Functional Zones in the Beam Yard

[0224] This embodiment calculates the logistics and non-logistics relationships of functional areas using a 2:1 weighted average. With A=4, E=3, I=2, O=1, and U=0, the comprehensive relationships of the functional areas are quantified, resulting in a comprehensive functional area relationship table (see Table 4). A comprehensive relationship diagram of the beam yard functional areas is also drawn. Figure 4 As shown.

[0225] Table 4 Calculation Table of Comprehensive Relationship between Functional Zones

[0226]

[0227] E) Draw a diagram showing the location of the functional areas.

[0228] Based on the functional area relationship table, draw a location correlation diagram between each work unit. The closer the connection, the closer the work units are. See the location correlation diagram below. Figure 5 .

[0229] F) Determination of the area of ​​each functional zone in the beam yard

[0230] Based on the maximum production capacity of the beam yard and in accordance with relevant railway design standards and specifications, the number of beam fabrication platforms, the area of ​​the beam fabrication area, the number of beam storage platforms, and the area of ​​the storage area are determined. Further calculations are then performed for the areas of the beam lifting and loading area, the rebar processing area, the concrete mixing area, the sand and gravel yard, and the office and living area. The specific calculation process can be found in step S104 above.

[0231] G) Establish a mathematical model of the beam field

[0232] The primary objective of beam yard functional area layout is to minimize material handling costs between functional areas, or to maximize the connectivity between functional areas. A mathematical model for beam yard functional area layout is constructed, using a multi-objective function that minimizes material handling costs and maximizes connectivity between functional areas, with the following assumptions:

[0233] a. The beam yard area and each functional area are rectangular block structures;

[0234] b. The functional areas are arranged in rows and parallel to the horizontal edge (x-axis) of the beam yard;

[0235] c. The material flow rate of each functional area, the unit material handling cost, the length-to-width ratio of each functional area, and the area of ​​each functional area are known.

[0236] Under the above premises, the functional area layout diagram of the beam yard is as follows: Figure 6 As shown.

[0237] In the xy-plane coordinate system established in the figure, the length of the beam field area is L and the width is B; the length of the i-th functional area is h. i Width is v i The x-coordinate of the center of the i-th functional area is x. i The vertical axis is y i The length of the j-th functional area is h. j Width is v j The x-coordinate of the center is x j The vertical axis is y j .

[0238] (1) Construct the objective function as follows:

[0239]

[0240] d ij =|x i -x j |+|y i -y j |;

[0241] Where F1 represents the total transportation cost function for each functional area; F2 represents the integration and tightness function for each functional area; f ij c represents the amount of material between functional area i and functional area j; ij d represents the unit material handling cost between functional area i and functional area j; ij b represents the distance between the center of functional area i and the center of functional area j; ij V represents the adjacency degree between functional area i and functional area j, and is assigned a value according to the distance between the functional areas. The magnitude relationship is shown in Table 5. ij The degree of correlation between functional area i and function j is represented by the comprehensive relationship score between each functional area. The quantitative relationship is shown in Table 6.

[0242] Table 5 Functional Area Proximity Measurement Values

[0243]

[0244]

[0245] Table 6. Functional Area Association Measurement Values

[0246] symbol Relationship level <![CDATA[V ij ]]> A Absolutely important 1 E Extremely important 0.8 I important 0.6 O General level of closeness 0.4 U unimportant 0.2 X Negative closeness 0

[0247] (2) Model constraints

[0248] The design of the functional area layout of a beam yard is typically carried out within a specific area. During the design process, various factors must be considered, such as actual conditions and company requirements. The constraints and design requirements of the center of this functional area are as follows.

[0249] Non-overlapping constraint: Two adjacent functional areas cannot overlap, that is:

[0250]

[0251] Boundary constraints: the boundaries of each functional area cannot exceed the planned area of ​​the beam yard, i.e.

[0252]

[0253] Among them, dh ij dv represents the distance between two functional areas along the horizontal axis. ij h represents the distance between two functional areas along the vertical axis. m h represents the length of the leftmost functional area in the layout. l Indicates the length of the rightmost functional area in the layout; v p This indicates the width of the bottommost functional area in the layout, v q This indicates the width of the topmost functional area in the layout.

[0254] H) Genetic algorithm to solve for the center coordinates of each functional area

[0255] (1) Choosing the fitness function

[0256] The fitness function is an indicator used to evaluate the quality of individuals in a population. The design of the fitness function should be as simple as possible; individuals with higher fitness values ​​will be retained and reproduce, while individuals with lower fitness values ​​will be eliminated. The fitness function selected in this paper is as follows:

[0257]

[0258] Among them, F 1min f represents the minimum total cost. ij (x) represents the area where functional zones i and j intersect;

[0259] The penalty conditions are:

[0260]

[0261] When f1(x)×f2(x)=0, that is, f ij If (x) = 0, then no penalty will be imposed.

[0262] When f1(x)×f2(x)≠0, that is, f ij If (x)≠0, then a penalty will be imposed.

[0263] Where f1(x) represents the length of the overlapping part of functional areas i and j, and f2(x) represents the width of the overlapping part of functional areas i and j.

[0264] (2) Population size

[0265] Population size refers to the size of the search space when searching for the optimal solution. If the search space is too large, the computation time is long and the computational efficiency is low. If the search space is too small, the conclusion often leads to a local optimum rather than the global optimum. A review of numerous documents shows that the population size is generally between 100 and 1000. This embodiment uses 100, which ensures that the global optimum is found without affecting computational efficiency and avoids the algorithm entering an infinite loop.

[0266] (3) Crossover probability

[0267] The crossover probability is the frequency with which individuals undergo crossover operations. The higher the crossover probability, the stronger the algorithm's ability to generate new search spaces. Numerous experiments show that the crossover probability is generally between 0.3 and 0.9; in this embodiment, we use 0.6.

[0268] (4) Probability of mutation

[0269] The mutation probability is the likelihood of an individual undergoing a mutation, affecting the diversity of the population. A mutation probability that is too high can cause the genetic algorithm to tend towards swarm optimization, losing the advantages of heuristic search. The mutation probability is generally between 0.005 and 0.1. This example selects 0.01 as the mutation probability.

[0270] (5) Initialize the population

[0271] The initial population is generated randomly, and each initial solution must satisfy non-overlapping constraints and boundary constraints.

[0272] The genetic algorithm parameters used in this embodiment are shown in Table 7 below.

[0273] Table 7 Genetic Algorithm Parameters

[0274] parameter Parameter value Population size 100 Cross rate 0.6 Variation rate 0.01 Maximum number of generations 300 Weighted average of total material handling costs w1 0.5 Weighted value of connection tightness w2 0.5

[0275] The advantages of this embodiment are:

[0276] 1) Global Optimization Capability: This solution possesses global search and optimization capabilities, enabling it to find superior beam yard layout schemes within the design space. In contrast, traditional beam yard layouts are typically based on experience or heuristic methods, lacking consideration for global optimization.

[0277] 2) Multi-objective optimization: This invention is based on a multi-objective optimization function, which can simultaneously consider multiple conflicting objectives, such as maximizing the utilization rate of the beam yard, minimizing material waste, and minimizing transportation time. This allows the beam yard layout to balance different objectives and find an optimal set of trade-off solutions.

[0278] 4) Automation and Efficiency: This method utilizes an improved SLP-based algorithm, featuring automation and efficiency, enabling the rapid generation of optimized beam yard layout schemes. This reduces the time cost of manual trial and error and adjustments, improving design efficiency and quality.

[0279] Corresponding to the above method, the present invention also provides an apparatus / system including a computer device, the computer device including a processor and a memory, the memory storing computer instructions, the processor executing the computer instructions stored in the memory, and when the computer instructions are executed by the processor, the apparatus / system performs the steps of the method as described above.

[0280] This invention also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the aforementioned edge computing server deployment method. The computer-readable storage medium can be a tangible storage medium, such as random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, floppy disks, hard disks, removable storage disks, CD-ROMs, or any other form of storage medium known in the art.

[0281] In summary, the beam yard layout method and apparatus of this invention, based on the System Layout Planning (SLP) algorithm, classifies and scores the functional areas of the beam yard according to their logistical and non-logistical relationships, calculating a comprehensive relationship score. Based on the defined shape of each functional area, its required area, arrangement rules, and the comprehensive relationship scores between functional areas, a mathematical model for the layout of beam yard functional areas is established, considering both total handling costs and the tightness of functional area connections. Non-overlapping constraints and boundary constraints are constructed to minimize unnecessary handling costs and maximize the tightness of functional area connections, forming an objective function. A genetic algorithm is then used to solve for the optimal functional area layout scheme. This achieves automated, efficient, and rapid output of beam yard functional area layout schemes, reducing the time cost of manual trial and error and adjustments, and improving design efficiency and quality.

[0282] Those skilled in the art will understand that the exemplary components, systems, and methods described in conjunction with the embodiments disclosed herein can be implemented in hardware, software, or a combination of both. Whether implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this invention. When implemented in hardware, it can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this invention are programs or code segments used to perform the desired tasks. The programs or code segments can be stored in a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried in a carrier wave.

[0283] It should be clarified that the present invention is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of the present invention.

[0284] In this invention, features described and / or illustrated for one embodiment may be used in the same or similar manner in one or more other embodiments, and / or combined with or in place of features of other embodiments.

[0285] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, various modifications and variations of the embodiments of the present invention are possible. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for the planar layout of a beam yard, characterized in that, The method includes the following steps: Collect raw data from the target beam yard. This raw data includes production object elements, production quantity elements, production route elements, production auxiliary elements, and time elements determined based on the railway beam yard design plan and capacity requirements. Specifically, the production object elements record beam type, specifications, quantity, and required functional area type; the production quantity elements record capacity requirements; the production route elements record the logistics relationships between different functional areas; the production auxiliary elements record the auxiliary equipment and facilities required for each functional area; and the time elements record the production stage time points and cycles based on the construction period. The functional area types at least include a beam fabrication area, beam storage area, beam lifting and bridge loading area, rebar processing area, concrete mixing area, sand and gravel yard, and office and living area. The functional areas of the target beam yard are divided into multiple levels based on the strength of their logistical relationships and assigned a first score, and also divided into multiple levels based on the degree of necessity of their adjacency in non-logistical relationships and assigned a second score; the degree of necessity of adjacency is determined based on process flow, regulatory requirements, operational safety, personnel communication, and noise impact. A comprehensive relationship score is calculated between each pair of functional areas based on a set weight, combining the first score and the second score. Based on the production object elements, production quantity elements, production route elements, production auxiliary elements, and time elements recorded in the original data, calculate the required area for each functional area; Based on the set shape of each functional area, the required area, the arrangement rules, and the comprehensive relationship score between each functional area, a mathematical model of beam yard functional area layout based on total transportation cost and functional area connection is established. Non-overlapping constraints and boundary constraints are constructed to construct an objective function that minimizes the transportation cost and maximizes the functional area connection. The solution is obtained based on a genetic algorithm. The shapes and positions of the functional areas obtained by the genetic algorithm are modeled using BIM and simulated in production. The layout scheme of each functional area is then fine-tuned and determined based on the simulation results. Specifically, based on the defined shape, required area, and arrangement rules of each functional area, a mathematical model for the layout of beam yard functional areas is established, taking into account the total transportation cost and the degree of connection between functional areas. Non-overlapping constraints and boundary constraints are constructed to build an objective function that minimizes the cost of unnecessary transportation and maximizes the degree of connection between functional areas. This objective function is then solved using a genetic algorithm, including: The beam yard area and each functional area are rectangular in shape, with each functional area arranged in rows and parallel to the horizontal side of the beam yard area. Let the length of the beam yard area be L and the width be B; let the length of the i-th functional area be h. i Width is v i The x-coordinate of the center of the i-th functional area is x. i The vertical axis is y i The length of the j-th functional area is h. j Width is v j The x-coordinate of the center is x j The vertical axis is y j ; Construct the objective function as follows: ； ； ； Where F1 represents the total transportation cost function for each functional area; F2 represents the integration and tightness function for each functional area; f ij c represents the amount of material between functional area i and functional area j; ij d represents the unit material handling cost between functional area i and functional area j; ij b represents the distance between the center of functional area i and the center of functional area j; ij V represents the adjacency degree between functional area i and functional area j; ij The degree of correlation between functional area i and function j is represented by the comprehensive relationship score between each functional area; b ij Values ​​are assigned based on the distance between functional zones; The expression for the non-overlapping constraint is: ； ； The boundary constraint expression is: （ ，L ）； （ ，B ）； in, This indicates the distance between two functional areas along the horizontal axis. This indicates the distance between two functional areas along the vertical axis. This indicates the length of the leftmost functional area in the layout. This indicates the length of the rightmost functional area in the layout; This indicates the width of the bottommost functional area in the layout. This indicates the width of the topmost functional area in the layout; The distance between the two functional areas is in (0, d) max When the interval is / 6], b ij The value is assigned to 1; the distance between the two functional areas is (d max / 6,d max When the interval is / 3], b ij The value is assigned to 0.8; the distance between the two functional areas is (d max / 3,d max When the interval is [ / 2], b ij The value is assigned to 0.6; the distance between the two functional areas is (d max / 2,2d max When the interval is / 3], b ij The value is assigned to 0.4; the distance between the two functional areas is (2d). max / 3, 5d max When the interval is / 6], b ij The value is assigned to 0.2; the distance between the two functional areas is (5d). max / 6,d max When the interval is ], b ij Assign a value of 0.2; d max For quantitative parameters; V ij Values ​​are assigned according to the relationship level between each functional area. The relationship level between two functional areas is divided into 6 levels from high to low, and the values ​​are assigned as 1, 0.8, 0.6, 0.4, 0.2 and 0 respectively. The fitness function used in the genetic algorithm to evaluate the quality of individuals is calculated as follows: ； in, This represents the minimum total cost. Let i be the area where functional zones i and j intersect. The penalty conditions are: ； ； when 0 o'clock, that is If the value is 0, then no penalty will be imposed. when 0 o'clock, that is 0, then a penalty; in, This represents the length of the overlapping portion of functional areas i and j. This represents the width of the overlapping portion of functional areas i and j.

2. The beam yard layout method according to claim 1, characterized in that, A comprehensive relationship score is calculated between each pair of functional areas based on a set weight, combining the first score and the second score. The calculation formula is as follows: ； Wherein, K represents the comprehensive relationship score between the two functional areas, M represents the first score between the two functional areas, N represents the second score between the two functional areas; a and b are weighting coefficients.

3. The beam yard layout method according to claim 1, characterized in that, Based on the production object elements, production quantity elements, production route elements, production auxiliary elements, and time elements recorded in the original data, calculate the required area for each functional area, including: The steps for calculating the area of ​​the beam fabrication zone are as follows: The formula for calculating the number of beam fabrication platforms is as follows: ； Where M1 is the number of beam fabrication platforms, d is the prefabrication cycle of a single beam, N is the number of beams produced at the beam yard, and D is the construction period; The area of ​​the beam fabrication zone is calculated using the following formula: ； Where S1 is the area required for a single pedestal; The steps to calculate the area of ​​the beam storage area are as follows: The formula for calculating the number of beam storage pedestals is as follows: ； Where M2 is the number of beam storage platforms, T is the minimum storage time of the precast beams on the beam storage platforms, and η is the number of precast beams produced in the beam fabrication area per day. The area of ​​the beam storage area is calculated using the following formula: ； Where S2 is the area required for a single beam storage platform; The area of ​​the bridge section above the lifting beam is calculated using the following formula: ； Wherein, M3 represents the number of precast beams that are lifted onto the bridge in one day; S3 represents the area of ​​a single precast beam; The steps for calculating the area of ​​the steel bar processing area are as follows: The daily steel reinforcement demand is calculated using the following formula: ； in, This refers to the amount of steel reinforcement required for a single precast beam. This refers to the daily production volume of the precast beams. This indicates the total amount of steel bars required daily. The required amount of steel bar production equipment is calculated using the following formula: in, This indicates the required quantity of steel bar production equipment. This indicates the daily steel bar production volume of a single steel bar production unit. The area of ​​the steel bar processing area is calculated using the following formula: ； Wherein, S4 is the area of ​​a single steel bar production device; The steps for calculating the area of ​​the concrete mixing zone are as follows: The formula for calculating the total daily concrete demand is as follows: ； in, This refers to the amount of concrete required for a single precast beam. This refers to the daily production volume of the precast beams. This indicates the total amount of steel bars required daily. The required number of concrete mixing plants can be calculated using the following formula: in, This indicates the required number of concrete mixing plants. This indicates the amount of concrete produced per day by a single concrete mixing plant. The area of ​​the concrete mixing zone is calculated using the following formula: ； Wherein, S5 is the area of ​​a single concrete mixing plant; The steps for calculating the area of ​​the sand and gravel quarry are as follows: The formula for calculating the total daily demand for sand and gravel is as follows: ； in, The amount of sand and gravel required for a single precast beam. This refers to the daily production volume of the precast beams. This indicates the total amount of sand and gravel required daily. The total storage capacity required for the sand and gravel quarry is calculated using the following formula: ； in, Where D is the total storage capacity required for the sand and gravel quarry, P is the storage period, and P is the safety reserve factor. The area of ​​the sand and gravel quarry is calculated using the following formula: ； in, This indicates the amount of sand and gravel stockpiled per unit area; Furthermore, the area of ​​the office and living area is configured according to railway construction standards.

4. The beam yard layout method according to claim 1, characterized in that, The population size in the genetic algorithm is 100 to 1000; the crossover probability of individuals is set to 0.3 to 0.9, and the mutation probability is set to 0.005 to 0.

1.

5. A beam yard plan layout device, comprising a processor, a memory, and a computer program / instructions stored in the memory, characterized in that, The processor is configured to execute the computer program / instructions, and when the computer program / instructions are executed, the device implements the steps of the method as described in any one of claims 1 to 4.

6. A computer-readable storage medium having a computer program / instructions stored thereon, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method as described in any one of claims 1 to 4.

7. A computer program product comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method described in any one of claims 1 to 4.

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