Dam concrete construction machinery configuration method

Abstract

The invention discloses a dam concrete construction machinery configuration method. The method comprises the following steps: S1, establishing a construction machinery carbon emission system; s2, calculating the construction machinery carbon emission of a construction machinery carbon emission system; s3, establishing a mechanical configuration optimization target and constraint conditions of dam concrete construction according to the carbon emission of the construction machinery; s4, according to the mechanical configuration optimization target and the constraint condition, establishing a dam concrete construction mechanical configuration multi-target integer programming model; and S5, solving the dam concrete construction machinery configuration multi-target integer programming model by using a quantum particle swarm optimization algorithm. The method has the characteristics of reducing carbon emission in dam concrete construction, improving the concrete construction progress and reducing the dam construction cost.

Description

Technical Field

[0001] The invention relates to an engineering machinery automation technology, in particular to a dam concrete construction machinery configuration method. Background Art

[0002] The production capacity of dam concrete construction machinery directly affects the dam construction progress and construction cost, and the configuration of dam concrete construction machinery needs to be optimized.

[0003] The optimization of dam concrete construction machinery configuration involves many indicators such as cost, construction period, carbon emissions, etc., and is a multi-objective integer programming problem. Most research methods mainly optimize the configuration of dam concrete construction machinery from the aspects of construction cost, construction period, quality, balance, etc., which provides important support for the research on the optimization of dam concrete construction machinery configuration. However, in the construction of water conservancy engineering buildings, dam concrete construction machinery is the main source of carbon emissions, and the environmental emissions caused by dam concrete construction account for the highest proportion. There is little research on how to consider the configuration of dam concrete construction machinery from a low-carbon perspective.

[0004] The existing Chinese patent application number CN02149071.6, "Multi-objective function road construction machinery optimization configuration method", discloses the preparation of construction plans with multi-objective functions, single machine selection, machine group configuration, and preparation of evaluation models for configuration optimization, including: 1) Preparation of construction plans with the balance of construction mechanisms as the objective function. Construction plans are prepared according to two modes, one is to require the construction period to remain unchanged and the supply of resources to be balanced, and the other is to require the construction period to be shortest. One of them is to prepare the daily construction progress and the required value of the machine productivity as the basis for the optimal configuration of construction machinery. 2) Single machine selection and machine group configuration are carried out with construction quality, construction cost or construction efficiency as the objective function, and then the machine group configuration evaluation model is prepared with the other two indicators as the objective function, and the machine group configuration plan is evaluated and modified to obtain the optimal configuration of road construction machinery. The present invention uses a computer to realize the optimal configuration of construction machinery, ensuring that the logistics of the machine group configuration are evenly fed, continuous operation, and the error flow is minimized.

[0005] Although the above scheme realizes the optimal configuration of construction machinery, it does not take into account the impact of carbon emissions. Construction machinery is the main source of carbon emissions in dam concrete construction and increases the greenhouse effect. Therefore, the existing optimal configuration of construction machinery has the problem of serious environmental pollution. Summary of the invention

[0006] The purpose of the present invention is to provide a method for configuring dam concrete construction machinery. The present invention has the characteristics of reducing carbon emissions from dam concrete construction, improving concrete construction progress, and reducing dam construction costs.

[0007] The technical solution of the present invention is a method for configuring dam concrete construction machinery, comprising the following steps:

[0008] S1. Establish a carbon emission system for construction machinery;

[0009] S2. Calculate the carbon emissions of construction machinery in the construction machinery carbon emission system;

[0010] S3. According to the carbon emissions of construction machinery, establish the optimization objectives and constraints of machinery configuration for dam concrete construction;

[0011] S4. According to the optimization objectives and constraints of machinery configuration, a multi-objective integer programming model for dam concrete construction machinery configuration is established;

[0012] S5. Use quantum particle swarm optimization algorithm to solve the multi-objective integer programming model for the configuration of dam concrete construction machinery.

[0013] In the aforementioned method for configuring dam concrete construction machinery, in step S1, the construction machinery carbon emission system includes a concrete production subsystem, a concrete transportation subsystem and a concrete pouring subsystem.

[0014] In the aforementioned method for configuring dam concrete construction machinery, in step S2, the carbon emissions of the construction machinery include the carbon emission value C1 for production consumption, the carbon emission value C2 for transportation consumption and the carbon emission value C3 for pouring consumption.

[0015] In the above-mentioned method for configuring dam concrete construction machinery, in step S2, the calculation formula for the production consumption carbon emission value C1 is: Where P i is the amount of various materials or machinery used, β i is the carbon emission factor of various materials or machinery;

[0016] The calculation formula for the carbon emission value C2 of transportation consumption is:

[0017] In the formula, γ k is the carbon emission factor of various energy sources, M k is the energy consumption, α k is the energy weight consumed by the vehicle per shift, M 总i is the total weight of the i-th mechanical load concrete, M 载重 is the vehicle load, L i is the transportation distance of the i-th type of mechanical concrete, and v is the mechanical transportation speed;

[0018] The calculation formula for the carbon emission value C3 of pouring consumption is: In the formula, α ik is the amount of energy consumed by the kth type of machinery per shift, V 总jis the concrete pouring volume, t ij is the productivity of the i-th machine on the j-th dam casting block.

[0019] In the aforementioned method for configuring machinery for dam concrete construction, in step S3, the optimization objectives of machinery configuration include machinery cost, minimum cost, minimum construction period, and minimum machinery carbon emissions.

[0020] In the aforementioned method for configuring machinery for dam concrete construction, in step S3, the machinery configuration constraints include quality cost constraints, machinery quantity constraints, machinery utilization constraints, dam concrete pouring time constraints, dump truck queuing time constraints and engineering quantity constraints.

[0021] In the above-mentioned method for configuring machinery for dam concrete construction, the calculation formula of the machinery cost C(P,T) is: In the formula, C i is the carbon emission of the i-th type of construction machinery, C g is the mechanical carbon emission cost, T(P) is the construction period, a is the total number of dam blocks, n is the number of types of dam concrete construction machinery, P ji is the number of the i-th type of machinery for pouring the j-th dam block;

[0022] The minimum cost C Fmin The calculation formula is: In the formula, k1 is the cost preference weight, C max It is the highest cost value in the mechanical configuration scheme;

[0023] The minimum construction period T Fmin The calculation formula is: Where k2 is the construction period preference weight; T max is the maximum value of the construction period in the mechanical configuration scheme;

[0024] The minimum value of mechanical carbon emissions E min The calculation formula is: Where k3 is the carbon emission preference weight; E max It is the maximum carbon emission value in the mechanical configuration scheme.

[0025] In the above-mentioned method for configuring dam concrete construction machinery, the quality cost constraint condition is: the minimum quality cost of construction machinery Where: k4 is the quality preference weight; C min is the minimum cost value among the mechanical configuration schemes;

[0026] The mechanical quantity constraints are: Where P l is the number of cable cranes arranged for dam concrete construction, Plmax is the number of available cable cranes, P ljmax is the maximum number of cables that can be arranged for the j-th dam casting cable, P lj is the number of cable cranes arranged for the jth dam casting block;

[0027] The mechanical utilization constraint is: imin ≤ρ i ≤ρ imax ; In the formula, ρ i is the utilization rate of the i-th type of construction machinery in dam concrete construction, ρ imin and ρ imax They are the minimum and maximum utilization rates of construction machinery respectively;

[0028] The constraint condition of dam concrete pouring time T(P) is: T(P)≤T j Where, T j The time specified for pouring each dam block;

[0029] The time constraints for dump truck queues are: Where, T zh is the queuing time of dump trucks before loading, T zg is the queuing time before the dump truck starts horizontal transportation, T hmax is the maximum queuing time before loading, T gmax is the maximum queuing time before horizontal transportation;

[0030] The engineering quantity constraint condition is: V(P)≥V j ; In the formula, V(P) represents the workload of each type of construction machinery, V j Indicates the amount of work required to cast dam blocks.

[0031] In the above-mentioned method for configuring dam concrete construction machinery, in step S4, the multi-objective integer programming model for configuring dam concrete construction machinery is:

[0032]

[0033]

[0034] Where: Q j is the pouring volume of the jth dam block; T j The time specified for pouring the jth dam block; U i is the working shift of the i-th machine; P ji is the number of the i-th type of machinery for pouring the j-th dam block.

[0035] In the above-mentioned method for configuring dam concrete construction machinery, the solution method of step S5 includes the following steps:

[0036] S501. According to the general situation of the dam concrete construction project, determine the basic parameters of the configuration machinery, and input the production capacity and unit price of the machinery and equipment related to the dam concrete construction;

[0037] S502, initializing the population size, dimension, and maximum number of iterations of the dam concrete construction machinery configuration problem to generate an initial machinery configuration population;

[0038] S503, retaining the optimal particles of individuals and populations according to the multi-objective integer programming model;

[0039] S504, sorting all particles according to the optimal value according to the individual optimality;

[0040] S505, taking the first N particles as elite particles in the particle swarm, and calculating the average best position;

[0041] S506. Update all particles in the search space according to the quantum swarm optimization algorithm to determine whether the maximum number of iterations has been reached. If the termination condition is met, use the optimal value of the population as the solution of the algorithm and output the optimal mechanical configuration result. Otherwise, go to step S503.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] The present invention takes carbon emissions as an environmental factor into consideration, takes carbon emissions as one of the optimization targets for the configuration of dam concrete construction machinery, studies the configuration optimization problem of dam concrete construction machinery, analyzes the dam concrete construction machinery system, calculates the carbon emissions at each stage in the dam concrete construction process, and takes the lowest cost, shortest construction period, and minimum carbon emissions as the goals. Combined with constraints such as quality, machine quantity, machine utilization, time, and engineering quantity, a multi-objective integer programming model for dam concrete construction machinery is established.

[0044] The present invention uses quantum particle swarm optimization algorithm to calculate the multi-objective integer programming model of dam concrete construction machinery configuration, so that the search of particles is no longer restricted by trajectory and speed, etc., and the convergence performance is improved, and the ability to search for the optimal solution is improved, so as to provide a reference for the optimization method of dam concrete construction machinery configuration under the low-carbon goal, and obtain the optimization configuration result of the construction machine group. Thereby effectively reducing the carbon emissions in the process of dam concrete construction, protecting the environment, and ensuring the construction quality, improving the utilization rate of machinery, reducing the cost of dam concrete construction, shortening the construction period of dam concrete, and improving work efficiency.

[0045] Therefore, the optimization method of dam concrete construction machinery configuration is of great significance to reducing carbon emissions from dam concrete construction, improving concrete construction progress, and reducing dam construction costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1It is the overall flow chart of the present invention.

[0047] Figure 2 This is a carbon emission diagram of the construction machinery carbon emission system of the present invention.

[0048] Figure 3 It is a diagram of the solution process of the multi-objective integer programming model for the configuration of dam concrete construction machinery using the quantum particle swarm optimization algorithm of the present invention. DETAILED DESCRIPTION

[0049] The present invention will be further described below in conjunction with the embodiments, but they are not intended to limit the present invention.

[0050] Example:

[0051] A method for optimizing the configuration of dam concrete construction machinery considering carbon emissions, such as Figure 1 As shown, the following steps are included:

[0052] S1. Establish a carbon emission system for construction machinery. The carbon emission system for construction machinery consists of three subsystems.

[0053] The carbon emission system of construction machinery is: concrete production subsystem, concrete transportation subsystem and concrete pouring subsystem. The concrete transportation subsystem includes horizontal concrete transportation and vertical concrete transportation.

[0054] The carbon emissions of the concrete production subsystem come from the unloading of dump trucks, the fly ash, aggregates, cement and other materials in the loading of dump trucks (carbon emissions from the operation of mixing plants), the carbon emissions of the concrete transportation subsystem come from the fuel and electricity consumption of horizontal transportation by dump trucks and vertical transportation by cable cars, and the carbon emissions of the concrete pouring subsystem come from the greenhouse gases emitted by construction machinery such as flattening machines and vibrating machines. Figure 2 shown.

[0055] S2. Calculate the carbon emissions of construction machinery:

[0056] S201. Calculate the carbon emission value of production consumption: Since the carbon emission in the concrete production process comes from the energy consumption of various materials or machinery in the carbon emission system of construction machinery, the carbon emission value of production consumption C1 is equal to the usage of various materials or machinery P i Carbon emission factor β for various materials or machinery i The product of .

[0057]

[0058] S202. Calculate the carbon emission value of transportation consumption: The carbon emission value C2 of transportation consumption during concrete transportation comes from the various energy consumption of dump trucks and cable cranes in the concrete transportation subsystem, and its value is the carbon emission factor of various energy sources γ k and energy consumption M k The energy consumption is calculated by the energy weight α consumed by each vehicle shift. k The concrete transportation time is determined by the concrete pouring amount and the transportation distance L. i (L i It is determined by the i-th type of mechanical concrete transportation distance) and the mechanical transportation speed v.

[0059]

[0060] Where M 总i is the total weight of the i-th mechanical load concrete; M 载重 is the vehicle's load capacity.

[0061] S203. Calculate the carbon emission value of pouring consumption: The carbon emission value C3 of pouring consumption during concrete pouring is mainly the greenhouse gas emitted by construction machinery such as flatteners and vibrators. Its carbon emission value depends on the working time and energy consumption per unit time of the construction machinery. The working time of the construction machinery is determined by the concrete pouring volume V 总j and productivity.

[0062]

[0063] In the formula, t ij is the productivity of the i-th machine on the j-th dam casting block; ik is the amount of the kth energy consumed by the i-th machine per shift.

[0064] S3. According to the carbon emissions of construction machinery, establish the optimization objectives and constraints of mechanical configuration for dam concrete construction:

[0065] S301. Calculate the cost of dam concrete construction machinery: The cost of dam concrete construction machinery includes the construction machinery shift fee and the machinery carbon emission cost C g , it is constructed as a function of the machinery configuration scheme and the construction period C(P,T), and the construction period can be expressed as a function of the construction machinery configuration scheme T(P). Assuming that the number of types of dam concrete construction machinery is n, the number of each type of construction machinery can be expressed as P = {P1, P2, P3, ..., P n}.

[0066]

[0067] Where: C i is the carbon emission of the i-th type of construction machinery; a is the total number of cast dam blocks; Pji is the number of the i-th type of machinery for pouring the j-th dam block;

[0068] S302. Calculate the minimum cost of the dam concrete construction machinery: Considering the carbon emission cost of the dam concrete construction, the cost C of the dam concrete construction machinery is: F Minimum C Fmin = is:

[0069]

[0070] In the formula, k1 is the cost preference weight; C max It is the highest cost value among the mechanical configuration options.

[0071] S304. Calculate the minimum construction period of dam concrete: The construction period of dam concrete includes the construction time of each subsystem cycle of dam concrete construction, the abnormal operation time of machinery, the total amount of concrete transportation and the amount of concrete transportation in each cycle. One cycle is when the construction machinery transports concrete from the loading point to the dam block and then returns to the loading point.

[0072] The construction period is dimensionless, so the dam concrete construction period T F Minimum value T Fmin It is expressed as:

[0073]

[0074] Where k2 is the construction period preference weight; T max It is the maximum value of the construction period in the mechanical configuration scheme.

[0075] S305. Calculate the minimum carbon emission of dam concrete construction machinery: The carbon emission of dam concrete construction is determined by the carbon emission equivalent of construction machinery, gasoline usage, diesel usage, and electricity usage. According to the mechanical method of construction machinery carbon emission, the minimum carbon emission of dam concrete construction machinery E is obtained. min for:

[0076]

[0077] Where k3 is the carbon emission preference weight; E max It is the maximum carbon emission value in the mechanical configuration scheme.

[0078] S306, limit the quality cost constraint condition: the dam concrete construction can be based on the consideration of quality cost and the minimum quality cost Q of the construction machinery min It is expressed as:

[0079]

[0080] Where: k4 is the quality preference weight; C min It is the minimum cost among the mechanical configuration options.

[0081] S307, limited mechanical quantity constraint: Due to the restrictions on the working surface and construction environment, there is a constraint on the number of cable cranes that can be arranged for dam concrete construction. The number of available cable cranes is P lmax The maximum number of cables that can be arranged for the jth dam casting cable is P ljmax , then:

[0082]

[0083] Where P l is the number of cable cranes arranged for dam concrete construction, P lj The number of cable cranes arranged for the j-th dam casting block.

[0084] S308. Constraints on limited machine utilization: Utilization rate of the i-th type of construction machine for dam concrete construction ρ i Should be within the given mechanical utilization range.

[0085] ρ imin ≤ρ i ≤ρ imax

[0086] In the formula, ρ imin and ρ imax are the minimum and maximum utilization rates of construction machinery respectively.

[0087] S309. Limit the dam concrete pouring time and dump truck queuing time: Due to the concrete temperature control and concrete progress node requirements, the dam concrete pouring time T(P) must be controlled within the specified time T of each dam pouring block. j within the scope;

[0088] T(P)≤T j ;

[0089] Affected by the setting time of concrete, the queue time of dump trucks before loading is T zh and the queuing time T before starting horizontal transport zg Cannot exceed the maximum allowable value (initial setting time of concrete) T hmax 、T gmax .

[0090]

[0091] S310, Constraints on the quantity of work: During the dam concrete construction process, the workload V(P) of each type of construction machinery should be greater than the workload V of the dam block casting j ;

[0092] V(P)≥V j .

[0093] S4. According to the carbon emissions of construction machinery, a multi-objective integer programming model for the configuration of dam concrete construction machinery is established:

[0094] In order to reduce the cost of dam construction, shorten the construction period, reduce carbon emissions during dam concrete construction, and improve the quality of concrete construction, a multi-objective integer programming model for dam concrete construction machinery configuration is established with cost, construction period, and carbon emissions as the goals, combined with constraints such as quality, number of machines, machine utilization, time, and engineering quantity restrictions.

[0095]

[0096]

[0097] Where: Q j is the pouring volume of the jth dam block; T j The time specified for pouring the jth dam block; U i is the working shift of the i-th machine; P ji is the number of the i-th type of machinery for pouring the j-th dam block.

[0098] S5. Use quantum particle swarm optimization algorithm to solve the multi-objective integer programming model of dam concrete construction machinery configuration. The solution process is as follows: Figure 3 shown.

[0099] S501. According to the general situation of the dam concrete construction project, determine the basic parameters of the configuration machinery, and input the parameters such as the production capacity and unit price of the machinery and equipment related to the dam concrete construction.

[0100] S502, initializing the population size, dimension, maximum number of iterations and other parameters of the dam concrete construction machinery configuration problem to generate an initial machinery configuration population.

[0101] S503. According to the multi-objective integer programming model, the fitness of the particles is evaluated, the individual and population optimal values ​​of the particles are updated, and the individual and population optimal particles are retained.

[0102] S504, sorting all particles according to the optimal value based on the individual optimality.

[0103] S505: Take the first N particles as elite particles in the particle swarm and calculate the average best position.

[0104] S506. Update all particles in the search space according to the quantum swarm optimization algorithm to determine whether the maximum number of iterations has been reached. If the termination condition is met, use the optimal value of the population as the solution of the algorithm and output the optimal mechanical configuration result. Otherwise, go to step S503.

[0105] In order to solve the problem of weak convergence and insufficient convergence performance of basic particle swarm algorithm in the iterative process, the present invention adopts quantum particle swarm optimization algorithm, which is an intelligent algorithm that improves the particle swarm algorithm from the perspective of quantum mechanics. Under the influence of this quantum behavior, the search of particles is no longer restricted by trajectory and speed, so that the ability to search for the optimal solution is greatly improved.

[0106] It should be understood that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. For those skilled in the art, the technical solutions described in the above embodiments can be modified, or some of the technical features therein can be replaced by equivalents; and all these modifications and replacements should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A method for configuring dam concrete construction machinery, characterized in that: The following steps are involved: S1. Establish a carbon emission system for construction machinery; S2. Calculate the carbon emissions of construction machinery in the construction machinery carbon emission system; S3. According to the carbon emissions of construction machinery, establish the optimization objectives and constraints of machinery configuration for dam concrete construction; S4. According to the optimization objectives and constraints of machinery configuration, a multi-objective integer programming model for dam concrete construction machinery configuration is established; S5. Use quantum particle swarm optimization algorithm to solve the multi-objective integer programming model for the configuration of dam concrete construction machinery.

2. A method for configuring dam concrete construction machinery according to claim 1, characterized in that: In step S1, the construction machinery carbon emission system includes a concrete production subsystem, a concrete transportation subsystem and a concrete pouring subsystem.

3. A method for configuring dam concrete construction machinery according to claim 2, characterized in that: In step S2, the carbon emissions of construction machinery include the carbon emissions value of production consumption C1, the carbon emissions value of transportation consumption C2 and the carbon emissions value of pouring consumption C3.

4. A method for configuring dam concrete construction machinery according to claim 3, characterized in that: In step S2, the calculation formula for the production consumption carbon emission value C1 is: Where P i is the amount of various materials or machinery used, β i is the carbon emission factor of various materials or machinery; The calculation formula for the carbon emission value C2 of transportation consumption is: In the formula, γ k is the carbon emission factor of various energy sources, M k is the energy consumption, α k is the energy weight consumed by the vehicle per shift, M 总i is the total weight of the i-th mechanical load concrete, M 载重 is the vehicle load, L i is the transportation distance of the i-th type of mechanical concrete, and v is the mechanical transportation speed; The calculation formula for the carbon emission value C3 of pouring consumption is: In the formula, α ik is the amount of energy consumed by the kth type of machinery per shift, V 总j is the concrete pouring volume, t ij is the productivity of the i-th machine on the j-th dam casting block.

5. The method for configuring dam concrete construction machinery according to claim 3, characterized in that: In step S3, the mechanical configuration optimization objectives include mechanical cost, minimum cost, minimum construction period, and minimum mechanical carbon emissions.

6. A method for configuring dam concrete construction machinery according to claim 5, characterized in that: In step S3, the machine configuration constraints include quality cost constraints, machine quantity constraints, machine utilization constraints, dam concrete pouring time constraints, dump truck queuing time constraints and engineering quantity constraints.

7. A method for configuring dam concrete construction machinery according to claim 6, characterized in that: The calculation formula of the mechanical cost C(P,T) is: In the formula, C i is the carbon emission of the i-th type of construction machinery, C g is the mechanical carbon emission cost, T(P) is the construction period, a is the total number of dam blocks, n is the number of types of dam concrete construction machinery, P ji is the number of the i-th type of machinery for pouring the j-th dam block; The minimum cost C Fmin The calculation formula is: In the formula, k1 is the cost preference weight, C max It is the highest cost value in the mechanical configuration scheme; The minimum construction period T Fmin The calculation formula is: In the formula, k2 is the construction period preference weight; T max is the maximum value of the construction period in the mechanical configuration scheme; The minimum value of mechanical carbon emissions E min The calculation formula is: Where k3 is the carbon emission preference weight; E max It is the maximum carbon emission value in the mechanical configuration scheme.

8. A method for configuring dam concrete construction machinery according to claim 7, characterized in that: The quality cost constraint is: the minimum quality cost of construction machinery Where: k4 is the quality preference weight; C min is the minimum cost value among the mechanical configuration schemes; The mechanical quantity constraints are: Where P l is the number of cable cranes arranged for dam concrete construction, P lmax is the number of available cable cranes, P ljmax is the maximum number of cables that can be arranged for the j-th dam casting cable, P lj is the number of cable cranes arranged for the jth dam casting block; The mechanical utilization constraint is: imin ≤ρ i ≤ρ imax ; In the formula, ρ i is the utilization rate of the i-th type of construction machinery in dam concrete construction, ρ imin and ρ imax They are the minimum and maximum utilization rates of construction machinery respectively; The constraint condition of dam concrete pouring time T(P) is: T(P)≤T j Where, T j The time specified for pouring each dam block; The time constraints for dump truck queues are: Where, T zh is the queuing time of dump trucks before loading, T zg is the queuing time before the dump truck starts horizontal transportation, T hmax is the maximum queuing time before loading, T gmax is the maximum queuing time before horizontal transportation; The engineering quantity constraint condition is: V(P)≥V j ; In the formula, V(P) represents the workload of each type of construction machinery, V j Indicates the amount of work required to cast dam blocks.

9. A method for configuring dam concrete construction machinery according to claim 8, characterized in that: In step S4, the multi-objective integer programming model for the configuration of dam concrete construction machinery is: Where: Q j is the pouring volume of the jth dam block; T j The time specified for pouring the jth dam block; U i is the working shift of the i-th machine; P ji is the number of the i-th type of machinery for pouring the j-th dam block.

10. A method for configuring dam concrete construction machinery according to claim 1, characterized in that: The solution method of step S5 comprises the following steps: S501. According to the general situation of the dam concrete construction project, determine the basic parameters of the configuration machinery, and input the production capacity and unit price of the machinery and equipment related to the dam concrete construction; S502, initializing the population size, dimension, and maximum number of iterations of the dam concrete construction machinery configuration problem to generate an initial machinery configuration population; S503, retaining the optimal particles of individuals and populations according to the multi-objective integer programming model; S504, sorting all particles according to the optimal value according to the individual optimality; S505, taking the first N particles as elite particles in the particle swarm, and calculating the average best position; S506. Update all particles in the search space according to the quantum swarm optimization algorithm to determine whether the maximum number of iterations has been reached. If the termination condition is met, use the optimal value of the population as the solution of the algorithm and output the optimal mechanical configuration result. Otherwise, go to step S503.

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