Anylogic-based water conveyance tunnel construction multi-objective optimization method and system

Abstract

The application discloses a water conveying tunnel construction multi-target optimization method and system based on Anylogic, relates to the technical field of water conveying tunnel construction optimization, and comprises the following steps: acquiring construction site data of a water conveying tunnel to be optimized, establishing a corresponding simulation model based on the construction site data and by using an Anylogic platform, and establishing a multi-target optimization model of the water conveying tunnel; based on the multi-target optimization model, tunnel simulation construction is carried out by using the Anylogic platform and the simulation model, and construction simulation parameters of the tunnel simulation construction are optimized and adjusted according to a construction progress; the construction process of the water conveying tunnel is optimized based on the construction simulation parameters, and a construction site configuration with optimized construction period and cost is obtained; the water conveying tunnel construction process is systematically analyzed, a multi-agent simulation model based on Anylogic is constructed, and the interaction relationship and dynamic process among entity elements such as mechanical equipment, roads, slag yards and waiting platforms are comprehensively described.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water conveyance tunnel construction optimization, and more particularly, it relates to a water conveyance tunnel construction multi-objective optimization method and system based on Anylogic. BACKGROUND

[0002] The water conveyance tunnel is an important part of the water diversion project, and has great strategic significance for optimizing China's water resource allocation, ensuring national water security and promoting economic and social development. The water conveyance tunnel has the characteristics of great construction difficulty, long construction period and limited operation space. The construction processes of the water conveyance tunnel are mutually crossed, influenced and interfered, and are constrained by the operation space and resource allocation, which has an important influence on the progress and cost of the project. In addition, the water conveyance tunnel belongs to single-row tunnel construction, and the mechanical operation layout space is limited. Therefore, in order to speed up the construction progress and reduce the construction cost, it is necessary to carry out research on the mechanical configuration and construction process of the water conveyance tunnel. SUMMARY

[0003] The purpose of the present application is to provide a water conveyance tunnel construction multi-objective optimization method and system based on Anylogic. Anylogic simulation platform has unique advantages in the fields of visual display, complex dynamic system simulation modeling and discrete event modeling. When it is applied to the research on the progress optimization of the space-limited water conveyance tunnel, it can more intuitively and accurately simulate various dynamic changes in the tunnel construction process. Therefore, the construction process of the water conveyance tunnel is systematically analyzed, and a simulation model based on the multi-agent of Anylogic is constructed to comprehensively describe the interaction relationship and dynamic process between the mechanical equipment, the road, the slag yard, the waiting platform and other entity elements.

[0004] The above technical purpose of the present application is realized by the following technical scheme:

[0005] In a first aspect, the present application provides a water conveyance tunnel construction multi-objective optimization method based on Anylogic, which comprises the following specific steps:

[0006] Obtain the construction site data of the water conveyance tunnel to be optimized, and establish a simulation model corresponding to the water conveyance tunnel based on the construction site data and by using the Anylogic platform;

[0007] Establish a multi-objective optimization model of the water conveyance tunnel, wherein the multi-objective optimization model comprises a duration optimization model and a cost optimization model;

[0008] Based on the multi-objective optimization model, use the Anylogic platform and the simulation model to simulate the construction of the tunnel, and adjust the construction simulation parameters of the tunnel simulation construction according to the construction progress optimization;

[0009] The on-site construction process of the water conveyance tunnel was optimized based on the construction simulation parameters, and an optimized on-site construction configuration with improved schedule and cost was obtained.

[0010] Based on the above technical solution, the present invention can be further improved as follows.

[0011] Furthermore, the above-mentioned schedule optimization model is as follows:

[0012]

[0013] In the formula, T i (N) represents the time of the i-th cycle, n represents the number of cycles, and T(N) represents the construction period.

[0014] Furthermore, the time for the i-th iteration is as follows:

[0015]

[0016] In the formula, T i (N) represents the time of the i-th iteration, S i This indicates that the machine travels at a speed of V in the i-th cycle. k Distance traveled, s i This indicates that the machine travels at a speed of v in the i-th cycle. k Distance traveled, N k Indicates the type of machinery, V k v represents the forward speed of the k-th type of machine entering and exiting the tunnel. k Let t represent the reversing speed of the k-th type of machine in the tunnel. k Let n represent the process time for the k-th type of mechanical operation, and n represent the total number of cycles.

[0017] Furthermore, the aforementioned cost optimization model is as follows:

[0018]

[0019] In the formula, C represents the construction cost, C mi Let C represent the machine usage fee for the i-th cycle. gi Let n represent the management fee for the i-th cycle, and n represent the number of cycles.

[0020] Furthermore, the machine usage fee for the i-th cycle mentioned above is specifically as follows:

[0021]

[0022] In the formula, C mi N represents the machine usage fee for the i-th cycle; k MT represents the quantity of the k-th type of machine; ki MC represents the usage time of the k-th type of machine in the i-th cycle, in hours;k represents the hourly cost of the kth machine, in yuan / h; IT ki represents the idle time of the kth machine in the ith cycle, in h; IC k represents the idle cost of the kth machine, in yuan / h.

[0023] Further, the management cost of the ith cycle is specifically:

[0024] C gi = T i (N) * CM;

[0025] In the formula, C gi represents the management cost of the ith cycle, CM represents the unit time management cost, in yuan / d, T i (N) represents the time of the ith cycle.

[0026] In a second aspect, the application provides a water conveyance tunnel construction multi-objective optimization system based on Anylogic, which is applied to the water conveyance tunnel construction multi-objective optimization method based on Anylogic in any one of the first aspect, and comprises:

[0027] A first module is configured to acquire construction site data of a water conveyance tunnel to be optimized, and establish a simulation model corresponding to the water conveyance tunnel based on the construction site data and using an Anylogic platform;

[0028] A second module is configured to establish a multi-objective optimization model of the water conveyance tunnel, wherein the multi-objective optimization model comprises a construction period optimization model and a cost optimization model;

[0029] A third module is configured to perform tunnel simulation construction based on the multi-objective optimization model, using the Anylogic platform and the simulation model, and adjust construction simulation parameters of the tunnel simulation construction according to the construction progress optimization;

[0030] A fourth module is configured to optimize the on-site construction process of the water conveyance tunnel based on the construction simulation parameters, and obtain an on-site construction configuration with optimized construction period and cost.

[0031] Further, the construction period optimization model is specifically:

[0032]

[0033] In the formula, T i (N) represents the time of the ith cycle, n represents the number of cycles, and T(N) represents the construction period;

[0034] The cost optimization model is specifically:

[0035]

[0036] In the formula, C represents construction cost, C mi represents the mechanical use fee of the i-th cycle, C gi represents the management fee of the i-th cycle, and n represents the number of cycles.

[0037] In a third aspect, the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method of any one of the first aspect when executing the computer program.

[0038] In a fourth aspect, the present application provides a non-transitory computer readable storage medium, which stores computer instructions, and the computer instructions make the computer execute the method of any one of the first aspect.

[0039] Compared with the prior art, the present application has at least the following beneficial effects:

[0040] In the present application, the construction simulation parameters of the tunnel simulation construction are optimized and adjusted according to the construction progress based on the established construction period optimization model and cost optimization model and the Anylogic platform and simulation model. In the simulation process of the water conveying tunnel with multiple working faces, the construction mechanical queuing and scheduling model is built, and the framework is roughly the same as that of a single working face. When the two working faces are close to each other and the drilling jumbo needs to be transferred to the next working face immediately after the first working face is constructed, the construction process can be effectively connected, and the work stoppage can be reduced. In the construction of multiple working faces far away from each other, the dump trucks are queued and circulate between multiple working faces and multiple spoil fields for cleaning. At this time, the actual simulation is carried out by using the simulation platform, the optimal construction mechanical configuration scheme can be accurately found out, and the cost-progress multi-objective optimization is realized.

[0041] In the present application, the construction optimization simulation model of multiple agents is established based on the AnyLogic simulation platform. The decision-making and action process of the agents in a specific construction environment is simulated by defining the attributes, behavior rules and interaction mechanism of the agents, and the overall evolution of the system is promoted by the interaction and competition between the agents. The interaction relationship between the levels is abstracted by the system dynamics simulation, the causal feedback is established, the function equation or state equation is constructed to describe the change of the system state with time and the interaction relationship between the elements in the system, the running process of the system is simulated by defining the events, activities, resources and other elements and the logical relationship between them, and the interaction logical relationship between the five construction machines in the water conveying tunnel is simulated. In summary, the system dynamics, discrete event and agent-based models are constructed by using the AnyLogic simulation to simulate and analyze various complex situations in the water conveying tunnel construction, so as to seek the multi-objective optimization of cost-progress. BRIEF DESCRIPTION OF DRAWINGS

[0042] The accompanying drawings, which are included to provide a further understanding of the embodiments of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings:

[0043] Figure 1 A flow chart of a water tunnel modeling process based on an AnyLogic simulation platform in the embodiment of the application;

[0044] Figure 2 A schematic diagram of a two-dimensional / three-dimensional simulation model in the embodiment of the application;

[0045] Figure 3 An effect diagram of process optimization provided by the application;

[0046] Figure 4 A distribution diagram of operation time of each process provided by the embodiment of the application;

[0047] Figure 5 A comparison diagram before and after process optimization provided by the embodiment of the application;

[0048] Figure 6 An analysis diagram of optimal configuration selection of a dump truck provided by the embodiment of the application;

[0049] Figure 7 A method flow chart of an optimization method in the embodiment of the application. DETAILED DESCRIPTION

[0050] In order to make the objects, technical solutions and advantages of the embodiments of the application clearer, the technical solutions in the embodiments of the application will be described below in connection with the drawings of the embodiments of the application. Obviously, the described embodiments are only some of the embodiments of the application, but not all the embodiments of the application. The components of the embodiments of the application described and shown in the drawings can be arranged and designed in various different configurations.

[0051] Therefore, the detailed description of the embodiments of the application provided in the drawings below is not intended to limit the scope of the claimed application, but only represents selected embodiments of the application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the application without creative labor are within the scope of protection of the application.

[0052] It should be noted that: similar reference numerals and letters represent similar items in the following drawings, therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0053] Embodiment 1: Anylogic simulation platform has unique advantages in the fields of visual display, complex dynamic system simulation modeling, discrete event modeling, etc. When it is applied to the research on progress optimization of space-limited water conveyance tunnel, it can more intuitively and accurately simulate various dynamic changes in the tunnel construction process, systematically analyze the construction process of the water conveyance tunnel, and construct a multi-agent simulation model based on Anylogic to comprehensively describe the interaction relationship and dynamic process between entity elements such as mechanical equipment, roads, spoil sites, and waiting platforms. Therefore, the embodiment provides a multi-objective optimization method for water conveyance tunnel construction based on Anylogic, as shown in Figure 7 , which includes the following specific steps:

[0054] S1, obtaining construction site data of a water conveyance tunnel to be optimized, and establishing a simulation model corresponding to the water conveyance tunnel based on the construction site data and using the Anylogic platform.

[0055] The construction site data can include tunnel construction process, construction procedure duration, tunnel cycle footage, vehicle driving speed, construction plane layout, etc. Specifically, through systematic analysis of the construction process, the construction plane layout can be determined from the construction design scheme to determine the vehicle access and parking points and the waste accumulation of the spoil site. The start time, end time and equipment used in each construction procedure of the tunnel construction are collected and arranged to determine the duration parameters of each construction procedure. The drilling and blasting duration of different surrounding rock excavation, single cycle excavation footage and mechanical driving speed inside and outside the tunnel are summarized and arranged.

[0056] Specifically, the construction simulation model of the water conveyance tunnel construction is constructed, and the specific content is as follows, and the single working face process is as shown in Figure 1 .

[0057] (1) Measurement preparation work is carried out before construction, and then the rock drilling jumbo drives in and carries out drilling and blasting operations; (2) wet spraying trolley, hydraulic backhoe, loader and other construction machinery carry out ventilation and smoke removal and safety treatment work in sequence after the front vehicle drives out of the tunnel; (3) dump trucks carry out muck removal operation, and multiple dump trucks go back and forth between the working face, spoil site and vehicle waiting area, and after the muck removal operation is completed, the machinery retreats and carries out supporting work; (4) record and arrange the operation duration of each procedure, count the cycle footage, and carry out the next round of cycle.

[0058] The modeling logic flow of the AnyLogic simulation platform is shown in Figure 2 , the resource parameters involved in modeling, and the tunnel model running process in two-dimensional and three-dimensional planes are visually presented. Figure 2

[0059] S2, establishing a multi-objective optimization model for the water conveyance tunnel, which includes a schedule optimization model and a cost optimization model. ​

[0060] Among them, a multi-objective optimization model for the construction period and cost of a water conveyance tunnel in a limited space was established using the collected data. Then, based on the established theoretical model, a proportional simulation model was built in the AnyLogic simulation platform to simulate the tunnel construction and record the time consumed by each process during construction. In the construction period optimization model, the duration of a single cycle depends on the travel time of each construction machine and the operation time of each process. The travel time of the construction machine is determined by the speed of entering and exiting the tunnel, and the operation time of each process fluctuates continuously due to various factors such as the grade of the surrounding rock of the tunnel.

[0061] The above-mentioned schedule optimization model is used to optimize the schedule, specifically as follows:

[0062]

[0063] In the formula, T i (N) represents the time of the i-th cycle, n represents the number of cycles, and T(N) represents the construction period.

[0064] The time of the i-th iteration is the duration of a single iteration, specifically:

[0065]

[0066] In the formula, T i (N) represents the time of the i-th iteration, S i This indicates that the machine travels at a speed of V in the i-th cycle. k Distance traveled, s i This indicates that the machine travels at a speed of v in the i-th cycle. k Distance traveled, N k Indicates the type of machinery, V k v represents the forward speed of the k-th type of machine entering and exiting the tunnel. k Let t represent the reversing speed of the k-th type of machine in the tunnel. k Let n represent the process time for the k-th type of mechanical operation, and n represent the total number of cycles.

[0067] It should be noted that the tunnel construction process is full of uncertainty, and the factors that have a greater impact in the drilling and blasting method construction are the fluctuation of the construction process length and the influence of the strength grade of surrounding rock on the construction method and the cycle footage. From the collected data of the actual construction length of each construction process, it can be seen that the length of each process in the tunnel construction is fluctuant within its specific range, and in addition, due to the different construction methods adopted by different surrounding rock grades, the length of each process is also different. By analyzing the process length of different surrounding rock grades, it can be concluded that the fluctuation conforms to the truncated normal distribution, a special normal distribution, so the truncated normal distribution is used to simulate the process length, that is, random value is taken around the fixed value, and the simulation parameters of each process plate are generated by nextGaussian in the AnyLogic simulation platform to conduct more realistic construction simulation. The probability of each process length is shown in the following formula:

[0068]

[0069] In the formula, μ and σ are the mean and standard deviation of the standard normal distribution, φ(z) is the standard normal distribution, CDF is the standard normal distribution, t max and t min are the upper and lower limits of the process length; as shown in Figure 4 , the range of values of each process of the tunnel construction is shown in the truncated normal distribution. Figure 4

[0070] Specifically, from the collected tunnel cycle footage and the corresponding surrounding rock grade, it can be seen that there are many uncertain factors in the process of tunnel drilling and blasting excavation, among which the most notable one is the surrounding rock grade. Different excavation methods are used for different surrounding rock grades, and the excavation footage also changes accordingly. The total length of the tunnel excavation distance is constrained as follows:

[0071] Among them:

[0072] In the formula, D 总 is the tunnel construction distance, D i is the i-th cycle excavation footage, d1 is the excavation footage of three types of surrounding rock, and d2 is the excavation footage of four and five types of surrounding rock.

[0073] The above cost optimization model is used to optimize the cost, specifically:

[0074]

[0075] In the formula, C represents the construction cost, C mi represents the mechanical use fee of the i-th cycle, C gi represents the management fee of the i-th cycle, and n represents the number of cycles. ​

[0076] Wherein, with the continuous optimization adjustment of construction progress, the fluctuation of construction machinery cost becomes the norm, when the progress is stable in a certain reasonable interval, there is a certain cost minimum point, so as to realize the relative optimization of cost while ensuring the construction period, so as to achieve the double promotion of economic benefit and construction efficiency.

[0077] The mechanical use cost of the i-th cycle is the single-cycle mechanical use cost, which is specifically:

[0078]

[0079] In the formula, C mi represents the mechanical use cost of the i-th cycle; N k represents the number of the k-th machine; MT ki represents the use time of the k-th machine in the i-th cycle, with the unit of h; MC k represents the unit time cost of the k-th machine, with the unit of yuan / h; IT ki represents the idle time of the k-th machine in the i-th cycle, with the unit of h; IC k represents the idle cost of the k-th machine, with the unit of yuan / h.

[0080] Wherein, for the optimization of construction machinery configuration scheme, the mechanical cost mainly consists of mechanical use cost and management cost, and within a certain range of mechanical configuration change, the total cost has a minimum point, which corresponds to the reasonable construction period under this condition, which not only reduces the cost, but also optimizes the construction period; the mechanical use cost is the cost caused by the use of machinery in the construction process, which consists of depreciation cost, fuel cost and maintenance cost.

[0081] The management cost of the i-th cycle is the single-cycle management cost, which is specifically:

[0082] C gi = T i (N)*CM;

[0083] In the formula, C gi represents the management cost of the i-th cycle, CM represents the unit time management cost, with the unit of yuan / d, T i (N) represents the time of the i-th cycle.

[0084] Wherein, the management cost is the cost generated by organization and management in the construction, including project personnel wages, office expenses, labor protection fees, travel expenses, etc.

[0085] S3, based on the multi-objective optimization model, the Anylogic platform and the simulation model are used to simulate the tunnel construction, and the construction simulation parameters of the tunnel simulation construction are adjusted according to the construction progress.

[0086] The process optimization of turning inside the tunnel can be implemented for construction machinery such as rock drilling jumbo, wet spraying jumbo, dump truck and the like, the speed of the construction machinery driving out of the tunnel is accelerated, the mechanical construction efficiency is improved, and the construction period is reduced; under the premise of process optimization, the construction simulation parameters are adjusted, and the optimal number of construction machinery is obtained by simulation software simulation; the optimized process and the number of machinery are imported into the Anylogic simulation platform, and the data such as the construction time of each process, the cycle footage and the total time of single cycle are recorded.

[0087] Specifically, as shown in Figure 3 , Figure 3 Details of implementing new process optimization are shown, that is, after a period of construction, the turntable is shifted to the deepest part of the excavated tunnel; as shown in Figure 5 , Figure 5 The comparison chart of each mechanical and total process before and after the implementation of new process in tunnel construction is shown, which shows the effect of process improvement.

[0088] S4, based on the construction simulation parameters, the site construction process of the water conveyance tunnel is optimized, and the site construction configuration with optimized construction period and cost is obtained.

[0089] Among them, based on the construction simulation parameters obtained above, the excel can be imported for processing to obtain the time of each process with simulation cycle advancing, and it can be known by using Origin drawing that: the process optimization can effectively shorten the single cycle time and speed up the construction process; on the basis of implementing process optimization, the de-sludge time and construction cost of different construction machinery in different tunnel excavation sections are compared, and the mechanical configuration with relatively optimal construction period and cost is obtained, which provides decision support for construction organization design and construction management; specifically, as shown in Figure 6 , Figure 6 The running number of the largest dump truck in the de-sludge process is shown, and the construction period and cost, total construction period and total cost of different truck configurations in different construction sections according to the maximum de-sludge number are shown, so as to select the optimal mechanical configuration.

[0090] Embodiment 2: The water conveyance tunnel construction multi-objective optimization system based on Anylogic provided by the application is applied to the water conveyance tunnel construction multi-objective optimization method based on Anylogic in any one of embodiment 1, comprising:

[0091] The first module is used for obtaining the construction site data of the water conveyance tunnel to be optimized, and establishing a simulation model corresponding to the water conveyance tunnel based on the construction site data and using the Anylogic platform.

[0092] The second module is used for establishing a multi-objective optimization model of the water conveyance tunnel, and the multi-objective optimization model comprises a construction period optimization model and a cost optimization model.

[0093] The construction period optimization model is specifically:

[0094]

[0095] In the formula, T i (N) represents the time of the i-th cycle, n represents the number of cycles, and T(N) represents the construction period.

[0096] The cost optimization model is specifically:

[0097]

[0098] In the formula, C represents the construction cost, C mi represents the mechanical use fee of the i-th cycle, C gi represents the management fee of the i-th cycle, and n represents the number of cycles.

[0099] The third module is configured to simulate the tunnel construction based on the multi-objective optimization model, using the Anylogic platform and the simulation model, and adjust the construction simulation parameters of the tunnel simulation construction according to the construction progress.

[0100] The fourth module is configured to optimize the site construction process of the water conveyance tunnel based on the construction simulation parameters, and obtain the site construction configuration with optimized construction period and cost.

[0101] Embodiment 3: The electronic device provided by the embodiment of the present application includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method of any one of the embodiments 1 is implemented.

[0102] Embodiment 4: The non-transitory computer readable storage medium provided by the embodiment of the present application stores computer instructions, and the computer instructions make the computer execute the method of any one of the embodiments 1.

[0103] The above specific embodiments have selectively described the purposes, technical solutions, and beneficial effects of the present application. It should be understood that the above description is only a specific embodiment of the present application and is not used to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A multi-objective optimization method for water conveyance tunnel construction based on Anylogic, characterized in that, The specific steps include the following: Obtain construction site data of the water conveyance tunnel to be optimized, and establish a simulation model corresponding to the water conveyance tunnel based on the construction site data and using the Anylogic platform; A multi-objective optimization model for a water conveyance tunnel is established, which includes a schedule optimization model and a cost optimization model. Based on the multi-objective optimization model, tunnel construction was simulated using the Anylogic platform and the simulation model, and the construction simulation parameters of the tunnel construction were optimized and adjusted according to the construction progress. The on-site construction process of the water conveyance tunnel was optimized based on the construction simulation parameters, and an optimized on-site construction configuration with improved construction period and cost was obtained. The specific project duration optimization model is as follows: In the formula, T i (N) represents the time of the i-th cycle, n represents the number of cycles, and T(N) represents the construction period; The time for the i-th iteration is specifically as follows: In the formula, T i (N) represents the time of the i-th iteration, S i This indicates that the machine travels at a speed of V in the i-th cycle. k Distance traveled, s i This indicates that the machine travels at a speed of v in the i-th cycle. k Distance traveled, N k Indicates the type of machinery, V k v represents the forward speed of the k-th type of machine entering and exiting the tunnel. k Let t represent the reversing speed of the k-th type of machine in the tunnel. k Let n represent the process time for the k-th type of mechanical operation, and n represent the total number of cycles. The cost optimization model is specifically as follows: In the formula, C represents the construction cost, C mi Let C represent the machine usage fee for the i-th cycle. gi Let n represent the management fee for the i-th cycle, and n represent the number of cycles. The machine usage fee for the i-th cycle is specifically as follows: In the formula, C mi N represents the machine usage fee for the i-th cycle; k MT represents the quantity of the k-th type of machine; ki MC represents the usage time of the k-th type of machine in the i-th cycle, in hours; k This represents the hourly rate for the k-th type of machine, in yuan / hour; IT ki IC represents the idle time of the k-th machine in the i-th cycle, in hours. k This represents the idle time fee for the k-th type of machinery, expressed in yuan / hour. The management fee for the i-th cycle is specifically as follows: C gi =T i (N)*CM; In the formula, C gi This represents the management fee for the i-th cycle, CM represents the management fee per unit time, in yuan / day, and T... i (N) represents the time of the i-th iteration.

2. A multi-objective optimization system for water conveyance tunnel construction based on Anylogic, applied to the multi-objective optimization method for water conveyance tunnel construction based on Anylogic as described in claim 1, characterized in that... include: The first module is used to acquire construction site data of the water conveyance tunnel to be optimized, and to establish a simulation model corresponding to the water conveyance tunnel based on the construction site data and using the Anylogic platform. The second module is used to establish a multi-objective optimization model for the water conveyance tunnel, which includes a schedule optimization model and a cost optimization model. The third module is used to simulate tunnel construction based on the multi-objective optimization model, using the Anylogic platform and the simulation model, and to optimize and adjust the construction simulation parameters of the tunnel construction according to the construction progress. The fourth module is used to optimize the on-site construction process of the water conveyance tunnel based on the construction simulation parameters, and to obtain an on-site construction configuration with optimized construction period and cost.

3. The Anylogic-based multi-objective optimization system for water conveyance tunnel construction according to claim 2, characterized in that, The specific project duration optimization model is as follows: In the formula, T i (N) represents the time of the i-th cycle, n represents the number of cycles, and T(N) represents the construction period; The cost optimization model is specifically as follows: In the formula, C represents the construction cost, C mi Let C represent the machine usage fee for the i-th cycle. gi Let n represent the management fee for the i-th cycle, and n represent the number of cycles.

4. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method of claim 1.

5. A non-transitory computer-readable storage medium, characterized in that, The non-transitory computer-readable storage medium stores computer instructions that cause the computer to perform the method of claim 1.

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