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

Abstract

The invention discloses a multi-objective optimization method and system for water conveyance tunnel construction based on Anylogic, and relates to the technical field of water conveyance tunnel construction optimizing.The method comprises the steps that construction site data of a to-be-optimized water conveyance tunnel is obtained, a corresponding simulation model is established based on the construction site data and by means of an Anylogic platform, and a multi-objective optimization model of the water conveyance tunnel is established; based on the multi-objective optimization model, performing tunnel simulation construction by using an Anylogic platform and the simulation model, and optimizing and adjusting construction simulation parameters of tunnel simulation construction according to the construction progress; on the basis of the construction simulation parameters, the on-site construction technology of the water conveyance tunnel is optimized, and on-site construction configuration with the optimized construction period and cost is obtained; the construction process of the water delivery tunnel is systematically analyzed, and a multi-agent simulation model based on Anylogic is constructed so as to comprehensively describe the interaction relation and the dynamic process among entity elements such as mechanical equipment, roads, slag fields and waiting platforms.

Description

Technical Field

[0001] The present invention relates to the technical field of water conveyance tunnel construction optimization, and more specifically, to a multi-objective optimization method and system for water conveyance tunnel construction based on AnyLogic. Background Art

[0002] Water transfer tunnels are an important part of water diversion projects and are of great strategic significance in optimizing my country's water resources allocation, ensuring national water security, and promoting economic and social development. Water transfer tunnels have the characteristics of great construction difficulty, long construction period, and limited working space. The various construction processes are intertwined, influence, and interfere with each other. They are constrained by working space and resource allocation, which has an important impact on the progress and cost of the project. In addition, water transfer tunnels belong to single-line tunnel construction, and the space for mechanical operation layout is limited. Therefore, in order to speed up construction progress, reduce construction costs, and reduce interference in construction space, it is necessary to carry out research on the mechanical configuration and construction technology of water transfer tunnels. Summary of the invention

[0003] The purpose of the present invention is to provide a multi-objective optimization method and system for water diversion tunnel construction based on Anylogic. The Anylogic simulation platform has unique advantages in the fields of visualization, complex dynamic system simulation modeling, discrete event modeling, etc., and is applied to the progress optimization research of water diversion tunnels with limited space, which can more intuitively and accurately simulate various dynamic changes in the tunnel construction process; therefore, the water diversion tunnel construction process is systematically analyzed, and a multi-agent simulation model based on Anylogic is constructed to comprehensively describe the interactive relationship and dynamic process between physical elements such as mechanical equipment, roads, slag yards, and waiting platforms.

[0004] The above technical objectives of the present invention are achieved through the following technical solutions:

[0005] In the first aspect, the present application provides a multi-objective optimization method for water diversion tunnel construction based on AnyLogic, comprising the following specific steps:

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

[0007] Establish a multi-objective optimization model for water diversion tunnels, which includes a construction period optimization model and a cost optimization model;

[0008] Based on the multi-objective optimization model, AnyLogic platform and simulation model are used to simulate tunnel construction, and the construction simulation parameters of tunnel simulation construction are optimized and adjusted according to the construction progress;

[0009] The on-site construction process of the water diversion tunnel is optimized based on the construction simulation parameters, and the on-site construction configuration with optimized construction period and cost is obtained.

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

[0011] Furthermore, the above construction period optimization model is specifically as follows:

[0012]

[0013] Where, 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 of the above i-th cycle is specifically:

[0015]

[0016] Where, T i (N) represents the time of the i-th cycle, S i Indicates that the machine is running at speed V in the i-th cycle. k Distance travelled, s i It means that the machine runs at speed v in the i-th cycle. k Distance travelled, N k Indicates the mechanical type, V k represents the speed of the kth machine entering and exiting the tunnel in the forward direction, v k represents the reversing speed of the kth machine in the tunnel, t k It represents the process duration of the kth mechanical operation, and n represents the total number of cycles.

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

[0018]

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

[0020] Furthermore, the mechanical usage fee for the above i-th cycle is specifically:

[0021]

[0022] In the formula, C mi represents the mechanical usage fee for the i-th cycle; N k represents the number of k-th machine; MT ki It indicates the usage time of the i-th cycle of the k-th machine, in h; MCk It represents the hourly cost of the k-th machine, in yuan / h; IT ki Indicates the idle time of the kth machine in the i-th cycle, in h; IC k Represents the idle cost of the kth machine, in yuan / h.

[0023] Furthermore, the management fee for the above i-th cycle is specifically:

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

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

[0026] In a second aspect, the present application provides a multi-objective optimization system for water tunnel construction based on AnyLogic, which is applied to any multi-objective optimization method for water tunnel construction based on AnyLogic in the first aspect, including:

[0027] The first module is used to obtain the construction site data of the water diversion tunnel to be optimized, and to establish a simulation model corresponding to the water diversion tunnel based on the construction site data and using the AnyLogic platform;

[0028] The second module is used to establish a multi-objective optimization model for the water diversion tunnel, which includes a construction period optimization model and a cost optimization model;

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

[0030] The fourth module is used to optimize the on-site construction process of the water diversion tunnel based on the construction simulation parameters and obtain the on-site construction configuration with optimized construction period and cost.

[0031] Furthermore, the above construction period optimization model is specifically as follows:

[0032]

[0033] Where, T i (N) represents the time of the i-th cycle, n represents the number of cycles, and T(N) represents the construction period;

[0034] The cost optimization model is as follows:

[0035]

[0036] In the formula, C represents the construction cost, C mi represents the mechanical usage fee for 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, wherein the processor implements any one of the methods in 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 enable a computer to execute any one of the methods in the first aspect.

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

[0040] In this application, by establishing a construction period optimization model and a cost optimization model, and conducting tunnel simulation construction based on the Anylogic platform and simulation model, and optimizing and adjusting the construction simulation parameters of the tunnel simulation construction according to the construction progress, a construction machinery queuing scheduling model is built in the simulation process of the water supply tunnel with multiple working faces, and its framework is roughly the same as that of the single working face; when two working faces that are not far apart are under construction, the drilling rig needs to immediately switch to the next working face after the construction of the first working face is completed, which can effectively connect the construction procedures and reduce idle work; in the construction of multiple working faces that are far apart, dump trucks queue up and circulate between multiple working faces and multiple slag yards for slag removal; at this time, the use of the simulation platform for actual simulation can accurately find the optimal construction machinery configuration plan and achieve multi-faceted optimization of cost-schedule.

[0041] In this application, a multi-agent construction optimization simulation model is established based on the AnyLogic simulation platform. By defining the attributes, behavior rules and interaction mechanisms of the agents, the decision-making and action processes of the agents in a specific construction environment are simulated, and the agents promote the overall evolution of the system through interaction and competition. The interaction relationships between the various levels are abstracted through system dynamics simulation, causal feedback is established, and function equations or state equations are constructed to describe the changes of the system state over time and the interaction relationship between the elements within the system. Through discrete event modeling, elements such as events, activities, resources, and the logical relationships between them are defined to simulate the operation process of the system, which is the interactive logical relationship between five types of construction machines in the water diversion tunnel. In summary, AnyLogic simulation is used to construct system dynamics, discrete event and agent-based models to simulate and analyze various complex situations in the construction of water diversion tunnels in order to seek multi-objective optimization of cost and schedule. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0043] Figure 1 This is a flow chart of water diversion tunnel modeling based on AnyLogic simulation platform in an embodiment of the present invention;

[0044] Figure 2 Schematic diagram of a two-dimensional / three-dimensional simulation model in an embodiment of the present invention;

[0045] Figure 3 This is a process optimization effect diagram proposed by the present invention;

[0046] Figure 4 A distribution diagram of the operation duration of each process provided in an embodiment of the present invention;

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

[0048] Figure 6 An analysis diagram for selecting the optimal configuration of a dump truck provided in an embodiment of the present invention;

[0049] Figure 7 The figure is a flow chart of the optimization method in the embodiment of the present invention. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0051] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0053] Embodiment 1: AnyLogic simulation platform has unique advantages in the fields of visualization, complex dynamic system simulation modeling, discrete event modeling, etc., and its application in the research on the progress optimization of water diversion tunnels with limited space can more intuitively and accurately simulate various dynamic changes in the tunnel construction process, and systematically analyze the water diversion tunnel construction process, and build a multi-agent simulation model based on AnyLogic to comprehensively describe the interactive relationship and dynamic process between physical elements such as mechanical equipment, roads, slag yards, and waiting platforms. Therefore, this embodiment provides a multi-objective optimization method for water diversion tunnel construction based on AnyLogic, such as Figure 7 As shown, the specific steps include:

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

[0055] Among them, construction site data may include tunnel construction process, construction process duration, tunnel cycle footage, vehicle driving speed, construction plan layout, etc.; specifically, through systematic analysis of the construction process, the construction plan layout can be established from the construction design plan to determine the vehicle entry and exit points and the waste accumulation in the slag dump; and collect and organize the start time, end time and equipment used for each process of tunnel construction to determine the duration parameters of each construction process; summarize and organize the drilling and blasting time for excavation of different surrounding rocks, the single cycle excavation footage and the driving speed of machinery inside and outside the tunnel.

[0056] Specifically, the construction simulation model of the water diversion tunnel construction is constructed. The specific contents are as follows: Figure 1 As shown:

[0057] (1) Surveying and preparation work is carried out before construction, and then the drilling rig enters and starts drilling and blasting operations; (2) Construction machinery such as the wet spraying rig, hydraulic backhoe, and loader carry out ventilation and smoke dispersion and safety handling work in sequence after the vehicle in front exits the tunnel; (3) Dump trucks carry out slag removal operations, with multiple dump trucks traveling back and forth between the face, slag yard, and vehicle waiting area. After the slag removal operation is completed, the machinery withdraws and support work is carried out; (4) The operation time of each process is recorded and sorted out, the cycle footage is counted, and the next cycle is carried out.

[0058] in, Figure 2 The modeling logic process of the AnyLogic simulation platform is shown, such as Figure 2 As shown in the figure, the resource parameters involved in the modeling visualize the operation process of the tunnel model in two-dimensional and three-dimensional planes.

[0059] S2, establish a multi-objective optimization model for the water diversion tunnel, which includes a construction period optimization model and a cost optimization model.

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

[0061] The above construction period optimization model is used to optimize the construction period, specifically:

[0062]

[0063] Where, 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 above i-th cycle is the working time of a single cycle, which is specifically:

[0065]

[0066] Where, T i (N) represents the time of the i-th cycle, S i Indicates that the machine is running at speed V in the i-th cycle. k Distance travelled, s i It means that the machine runs at speed v in the i-th cycle. k Distance travelled, N k Indicates the mechanical type, V k represents the speed of the kth machine entering and exiting the tunnel in the forward direction, v k represents the reversing speed of the kth machine in the tunnel, t k It represents the process duration of the kth mechanical operation, and n represents the total number of cycles.

[0067] It should be noted that the tunnel construction process is full of uncertainty. The factors that have a greater impact in drilling and blasting construction are the fluctuations in the duration of the construction process and the impact of the strength grade of the surrounding rock on the construction method and cycle footage. From the collected data on the actual construction duration of each construction process, it can be seen that the duration of each process in tunnel construction is volatile within its specific range. In addition, due to the different construction methods used for different surrounding rock grades, the duration of each process is also different. Analysis of the duration of processes of different surrounding rock grades shows that its fluctuation conforms to the special normal distribution of truncated normal distribution. Therefore, the truncated normal distribution is used to simulate the duration of the process, that is, random values ​​are taken around their respective fixed values, and the simulation parameters of each process block are generated by nextGaussian in the AnyLogic simulation platform to perform a construction simulation that is closer to reality. The probability of the duration of each process is shown in the following formula:

[0068]

[0069] Where: μ, σ are the mean and standard deviation of the standard normal distribution, φ(z) is the standard normal distribution, is the CDF of the standard normal, t max ,t min is the upper and lower limits of the process duration; Figure 4 As shown, Figure 4 The range of values ​​of the truncated normal distribution for each process of tunnel construction is shown.

[0070] Specifically, from the collected tunnel cycle footage and the corresponding surrounding rock grade, it can be seen that the tunnel drilling and blasting excavation process is full of uncertainties, the most significant of which is the surrounding rock grade. Different excavation methods are used for different surrounding rock grades, and the excavation footage also varies accordingly. The excavation distance constraints for the total length of the tunnel are as follows:

[0071] in:

[0072] Where: D 总 is the tunnel construction distance, D i is the excavation footage of the ith cycle, d 1 Excavation footage for three types of surrounding rock, d 2 The excavation progress is for Class IV and Class V surrounding rock.

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

[0074]

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

[0076] Among them, with the continuous optimization and adjustment of the construction progress, the fluctuation of construction machinery costs has become the norm. When the progress is stabilized in a certain reasonable range, there must be a lowest cost point, which can not only ensure the construction period but also achieve relative optimization of costs, thereby achieving a double improvement in economic benefits and construction efficiency.

[0077] The above-mentioned machine usage fee for the i-th cycle is the single-cycle machine usage fee, which is:

[0078]

[0079] In the formula, C mi represents the mechanical usage fee for the i-th cycle; N k represents the number of k-th machine; MT ki It indicates the usage time of the i-th cycle of the k-th machine, in h; MC k It represents the hourly cost of the k-th machine, in yuan / h; IT ki Indicates the idle time of the kth machine in the i-th cycle, in h; IC k Represents the idle cost of the kth machine, in yuan / h.

[0080] Among them, for the optimization of construction machinery configuration plan, the machinery cost is mainly composed of machinery usage fee and management fee. Within a certain range of machinery configuration changes, there is a minimum point in the total cost, which corresponds to the reasonable construction period under this situation, thus achieving both cost reduction and optimization of the construction period. The machinery usage fee is the cost incurred by the machinery during construction, which is composed of depreciation, fuel cost and maintenance cost.

[0081] The management fee for the i-th cycle mentioned above is the single-cycle management fee, which is:

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

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

[0084] Among them, management fees are the costs incurred during the organization and management of construction, including project staff salaries, office expenses, labor insurance fees, travel expenses, etc.

[0085] S3, based on the multi-objective optimization model, uses the AnyLogic platform and simulation model to carry out tunnel simulation construction, and optimizes and adjusts the construction simulation parameters of the tunnel simulation construction according to the construction progress.

[0086] Among them, the process optimization of in-tunnel steering can be implemented for construction machinery such as rock drilling rigs, wet spraying rigs, and dump trucks, which speeds up the speed of construction machinery driving out of the tunnel, improves the efficiency of mechanical construction, and reduces the construction period; under the premise of process optimization, the construction simulation parameters are adjusted, and the simulation software is used to simulate the optimal number of construction machinery; the optimized process and number of machinery are imported into the Anylogic simulation platform, and data such as the construction time of each process, cycle footage, and total time of a single cycle are recorded.

[0087] Specifically, Figure 3 As shown, Figure 3 The detailed expression of the implementation of the new process optimization is shown, that is, after a period of construction, the turntable is moved to the deepest part of the excavation; Figure 5 As shown, Figure 5 The chart shows the comparison of each machine and the overall process before and after the process optimization after the new process was implemented in tunnel construction, demonstrating the effect of the process improvement.

[0088] S4, optimizes the on-site construction process of the water diversion tunnel based on the construction simulation parameters, and obtains the on-site construction configuration with optimized construction period and cost.

[0089] Among them, the construction simulation parameters obtained based on the above can be imported into Excel for processing, and the duration of each process as the simulation cycle progresses can be obtained. Using Origin drawing, it can be seen that process optimization can effectively shorten the duration of a single cycle and speed up the construction process; on the basis of implementing process optimization, the desludging time and construction cost of different construction machinery in different tunnel excavation sections are compared, and the mechanical configuration with the best construction period and cost is obtained, which provides decision-making support for construction organization design and construction management; specifically, Figure 6 As shown, Figure 6 The maximum number of dump trucks in operation during the deballasting process is shown, as well as the construction period and cost, total construction period and total cost of a single operation in different construction sections for different vehicle configurations determined according to the maximum deballasting number, so as to select the optimal machinery configuration.

[0090] Embodiment 2: The embodiment of the present application provides a multi-objective optimization system for water tunnel construction based on AnyLogic, which is applied to any multi-objective optimization method for water tunnel construction based on AnyLogic in Embodiment 1, including:

[0091] The first module is used to obtain the construction site data of the water diversion tunnel to be optimized, and to establish a simulation model corresponding to the water diversion tunnel based on the construction site data and using the AnyLogic platform.

[0092] The second module is used to establish a multi-objective optimization model for the water diversion tunnel. The multi-objective optimization model includes a construction period optimization model and a cost optimization model.

[0093] The above construction period optimization model is specifically as follows:

[0094]

[0095] Where, 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 above cost optimization model is specifically as follows:

[0097]

[0098] In the formula, C represents the construction cost, C mi represents the mechanical usage fee for 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 used to perform tunnel simulation construction based on a multi-objective optimization model using the AnyLogic platform and simulation model, and to optimize and adjust the construction simulation parameters of the tunnel simulation construction according to the construction progress.

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

[0101] Embodiment 3: The embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, any one of the methods in Embodiment 1 is implemented.

[0102] Embodiment 4: The embodiment of the present application provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions enable a computer to execute any method in Embodiment 1.

[0103] The specific implementation methods described above provide optional detailed descriptions of the objectives, technical solutions and beneficial effects of the present invention. It should be understood that the above descriptions are only specific implementation methods of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. The multi-objective optimization method for water diversion tunnel construction based on AnyLogic is characterized by: The specific steps include: 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 the AnyLogic platform; Establishing a multi-objective optimization model for a water diversion tunnel, wherein the multi-objective optimization model includes a construction period optimization model and a cost optimization model; Based on the multi-objective optimization model, the AnyLogic platform and the simulation model are used to perform tunnel simulation construction, and the construction simulation parameters of the tunnel simulation construction are optimized and adjusted according to the construction progress; The on-site construction process of the water conveyance tunnel is optimized based on the construction simulation parameters, and an on-site construction configuration with optimized construction period and cost is obtained.

2. The AnyLogic-based multi-objective optimization method for water diversion tunnel construction according to claim 1 is characterized in that: The construction period optimization model is specifically as follows: Where, T i (N) represents the time of the i-th cycle, n represents the number of cycles, and T(N) represents the construction period.

3. The AnyLogic-based multi-objective optimization method for water diversion tunnel construction according to claim 2 is characterized in that: The time of the i-th cycle is specifically: Where, T i (N) represents the time of the i-th cycle, S i Indicates that the machine is running at speed V in the i-th cycle. k Distance travelled, s i It means that the machine runs at speed v in the i-th cycle. k Distance travelled, N k Indicates the mechanical type, V k represents the speed of the kth machine entering and exiting the tunnel in the forward direction, v k represents the reversing speed of the kth machine in the tunnel, t k It represents the process duration of the kth mechanical operation, and n represents the total number of cycles.

4. The multi-objective optimization method for water diversion tunnel construction based on AnyLogic according to claim 1, characterized in that: The cost optimization model is specifically as follows: In the formula, C represents the construction cost, C mi represents the mechanical usage fee for the i-th cycle, C gi represents the management fee of the i-th cycle, and n represents the number of cycles.

5. The AnyLogic-based multi-objective optimization method for water diversion tunnel construction according to claim 4 is characterized in that: The mechanical usage fee for the i-th cycle is specifically: In the formula, C mi represents the mechanical usage fee for the i-th cycle; N k represents the number of k-th machine; MT ki It indicates the usage time of the i-th cycle of the k-th machine, in h; MC k It represents the hourly cost of the k-th machine, in yuan / h; IT ki Indicates the idle time of the kth machine in the i-th cycle, in h; IC k Represents the idle cost of the kth machine, in yuan / h.

6. The AnyLogic-based multi-objective optimization method for water diversion tunnel construction according to claim 4 is characterized in that: The management fee for the i-th cycle is specifically: C gi =T i (N)*CM; In the formula, C gi represents the management fee of the i-th cycle, CM represents the management fee per unit time, in yuan / d, T i (N) represents the time of the i-th cycle.

7. A multi-objective optimization system for water tunnel construction based on AnyLogic, applied to a multi-objective optimization method for water tunnel construction based on AnyLogic according to any one of claims 1 to 6, characterized in that: include: The first module is used to obtain the 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 a water diversion tunnel, wherein the multi-objective optimization model includes a construction period optimization model and a cost optimization model; The third module is used to perform tunnel simulation construction based on the multi-objective optimization model using the AnyLogic platform and the simulation model, and optimize and adjust the construction simulation parameters of the tunnel simulation construction according to the construction progress; The fourth module is used to optimize the on-site construction process of the water diversion tunnel based on the construction simulation parameters, and obtain an on-site construction configuration with optimized construction period and cost.

8. The AnyLogic-based multi-objective optimization system for water diversion tunnel construction according to claim 7 is characterized in that: The construction period optimization model is specifically as follows: Where, 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 represents the mechanical usage fee for the i-th cycle, C gi represents the management fee of the i-th cycle, and n represents the number of cycles.

9. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the method according to any one of claims 1 to 6 is implemented when the processor executes the computer program.

10. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores computer instructions, which enable a computer to execute the method of any one of claims 1-6.

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