A pre-processing-integration-based offshore wind power discrete event simulation constraint condition integration simplification method, system, device and medium

Abstract

The application provides a pre-treatment-integration-based offshore wind power discrete event simulation constraint condition integration simplification method, system, device and medium, and is oriented to complex offshore wind power construction simulation. Before simulation starts, possible influencing factors in the simulation process are processed, and are integrated and simplified into a simulation time axis, so that the simulation time axis can be flexibly called in the simulation process. The method provided by the application comprises the following steps: establishing basic simulation content, obtaining limiting conditions affecting construction, establishing an influencing factor model, pre-processing various influencing factors, integrating and generating a process executable time axis, and calling the process executable time axis. On the premise of ensuring simulation efficiency, various factors affecting offshore wind power construction are reasonably analyzed and judged, and the method is suitable for a realistic construction environment and has flexibility and higher confidence.

Description

Technical Field

[0001] This invention belongs to the field of offshore wind power discrete event simulation technology, and in particular relates to a method, system, device and medium for preprocessing-integration of simplified constraints in offshore wind power discrete event simulation. When there are too many constraints in discrete event simulation, a method is provided to preprocess and integrate simplified constraints before the simulation begins. Background Technology

[0002] Discrete Event Simulation (DES) is a dynamic system simulation technique widely used in industries such as industry, transportation, and communications. It studies the behavior and performance of a system under different conditions by simulating the occurrence and processing of discrete events. The core of DES lies in the dynamic scheduling and processing of events, accurately reflecting the complex processes of a system in actual operation. Offshore wind power construction simulation systems are typically characterized by numerous conditions and complex logic. A wind farm may contain hundreds of wind turbines, and the installation process of each turbine involves dozens of procedures with complex dependencies between them. The execution of each procedure is affected not only by resources such as manpower, transportation, and hoisting, but also by weather factors such as wind force, rainfall, wave height, and temperature. Due to its simplified event attribute simulation mode, DES demonstrates unique advantages in handling large-scale, highly complex system simulations.

[0003] When designing simulations for offshore wind power construction to handle complex constraints, the following methods are typically used:

[0004] 1) Simplified Constraint Method: This method can improve simulation efficiency, reduce the difficulty of model construction, and reduce data requirements to facilitate analysis and decision-making. However, excessive simplification of constraints can lead to a significant decrease in simulation accuracy and even cause misleading results, affecting actual project construction. It is not suitable for simulation scenarios that require high precision. The complex dynamics and interactions in the offshore wind power construction process cannot be fully reflected in the simplified model, limiting the model's predictive ability.

[0005] 2) Modular / Hierarchical Approach: While this method helps to clarify the logic, it requires numerous conditional judgments during simulation to comprehensively consider the interactions between different factors. Furthermore, since each influencing module needs to be accessed repeatedly, this not only increases the demand for computer memory but also burdens computing power, ultimately leading to a decrease in simulation efficiency.

[0006] To ensure simulation quality and improve simulation efficiency, it is of great significance to study a method for simplifying and integrating simulation constraints. Summary of the Invention

[0007] The first objective of this invention is to provide a simplified method for integrating and simplifying the simulation constraints of discrete events in offshore wind power based on preprocessing and integration.

[0008] Therefore, the above-mentioned objective of the present invention is achieved through the following technical solution:

[0009] A preprocessing-integration-based method for simplifying constraints in discrete event simulation of offshore wind power, which centrally determines constraints before discrete event simulation and generates an executable timeline to simplify simulation logic, includes the following steps:

[0010] S1: Confirm the content of offshore wind power construction simulation, obtain the required production data information, and establish the construction logic rules and construction simulation scheme required for the simulation.

[0011] S2: Based on the construction simulation plan and actual production conditions, identify the constraints of each process event and the various reasons for delays;

[0012] S3: Obtain the original data confirming the above restrictions;

[0013] S4: Before the formal simulation begins, preprocess and determine the impact of constraints on process events at each stage, and integrate and output the executable timeline of each event;

[0014] S5: During the simulation, retrieve the executable timeline corresponding to the construction event and combine it with the process information to complete the discrete event simulation.

[0015] While adopting the above technical solutions, the present invention may also adopt or combine the following technical solutions:

[0016] As a preferred technical solution of the present invention: In step S2, based on the actual production and construction experience of the project, the types and values ​​of limiting conditions are set for different construction procedures, the attributes of each procedure and the required resource information are confirmed, and preparations are made for subsequent information acquisition.

[0017] The constraints that need to be confirmed include:

[0018] - Temperature: Workers cannot work outdoors when the temperature is above the legal limit;

[0019] -Rainfall: The impact on construction processes is determined by the amount of rainfall per unit time;

[0020] -Wind: Includes low-altitude / high-altitude wind data. Excessive wind speed will affect the hoisting process.

[0021] - Wave height: Ensure the buoyancy, stability and seakeeping of construction vessels during offshore operations when the wave height is too high;

[0022] Finally, configure the quantity of hoisting / transportation resources, allocate human resources, and determine the resource-related constraints for workers' daily work hours.

[0023] As a preferred technical solution of the present invention, step S3 specifically includes the following processes: downloading meteorological influencing factor data and configuring resource influencing factors.

[0024] As a preferred technical solution of the present invention: In step S4, some key influencing factors are processed in a concentrated manner before the simulation begins, including various weather conditions and the daily working hours of workers; these two types of factors have two significant commonalities: their state remains unchanged throughout the simulation process; if any condition is not met, the construction activity will not be able to proceed.

[0025] As a preferred technical solution of the present invention: in step S4, the executable timeline is stored in a dictionary structure, with the key being the time node and the value being a Boolean variable representing whether construction is possible;

[0026] The executable timeline is generated by preprocessing and judging the specific constraints of each process and integrating the construction logic. If the resources or weather conditions do not meet the construction conditions within a certain period, construction cannot be carried out within that period.

[0027] As a preferred technical solution of the present invention: logical judgment is made on the process according to the limiting conditions, specifically including the following steps:

[0028] Analyze the types of constraints currently faced by the construction project, and design a plan based on the actual construction process and program logic to obtain the feasibility of each process; taking a simulation of a certain day as an example, where T0 <T1<T2<…T 23 <T 24 ;

[0029] The set of available simulation durations for the day is A = {T|T0} <T<T 24}

[0030] The set of available working hours for workers on that day is B = {T|T8} <T<T 18}

[0031] The set of available resource times is C = {T|T 10 <T}

[0032] The set of wind forces greater than the process setting conditions is D = {T|T 10 <T<T 13}

[0033] The set of rainfall amounts exceeding the process setting conditions is E = {T|T 12 <T<T 14}

[0034] When performing logical judgments to obtain the construction timeline, first, confirm the daily working hours of the workers. Then, intersect A and B to obtain the set O1 = {T|T8}. <T<T 18}, then confirm the resource usage and intersect set O1 with set C to obtain set O2 = {T|T 10 <T<T 18 Secondly, excluding the influence of weather on the construction process, by taking the complements of O2 and sets D and E respectively, we obtain O3 = {T|T 14 <T<T 18 Ultimately, the executable time for this process was confirmed to be T for the day. 14 To T 18 .

[0035] As a preferred embodiment of the present invention, step S5 specifically includes the following steps:

[0036] S51: Locate the construction timeline corresponding to this process and position the process on the construction timeline according to the simulation clock progress;

[0037] S52: Obtain construction information for the process, such as construction duration;

[0038] S53: Find consecutive workable periods within the construction timeline and complete the process simulation.

[0039] The second objective of this invention is to provide a simplified system for integrating preprocessing-integration of discrete event simulation constraints for offshore wind power.

[0040] Therefore, the above-mentioned objective of the present invention is achieved through the following technical solution:

[0041] A simplified system for merging and integrating constraints in offshore wind power discrete event simulation based on preprocessing and integration includes the following modules:

[0042] The construction logic rules and construction simulation scheme establishment module is used to confirm the content of offshore wind power construction simulation, obtain the required production data information, and establish the construction logic rules and construction simulation scheme required for the simulation.

[0043] The process event constraint condition confirmation module is used to confirm the constraint conditions of each process event and the various reasons for delays based on the construction simulation scheme established by the construction logic rules and construction simulation scheme establishment module and the actual production status.

[0044] The module for acquiring raw data of constraints is used to acquire the raw data of constraints confirmed by the constraint confirmation module of the process event.

[0045] An executable timeline integration and output module is used to preprocess and determine the impact of constraints on process events at each stage before the formal simulation begins, and to integrate and output the executable timeline of each event.

[0046] The discrete event simulation module is used to retrieve the executable timeline corresponding to the construction event during the simulation process and complete the discrete event simulation in combination with the process information.

[0047] A third objective of this invention is to provide an electronic device comprising a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus, characterized in that:

[0048] The memory, which is used to store computer programs,

[0049] A processor is configured to execute a computer program stored in memory to implement the steps of the preprocessing-integration-based simplified method for integrating constraints in offshore wind power discrete event simulation, as described above.

[0050] Another objective of this invention is to provide a computer-readable storage medium, characterized in that: the computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the preprocessing-integration-based simplified method for integrating and simplifying the simulation constraints of discrete events in offshore wind power as described above.

[0051] This invention provides a method, system, device, and medium for simplifying and integrating constraints in offshore wind power discrete event simulation based on preprocessing and integration. In offshore wind power construction simulation, various influencing factors such as resources and weather exist during the construction process. Although these factors interfere with construction in different ways, the final result is the same: the process cannot be carried out during a given time period. By concentrating the judgment of various conditions before the simulation logic begins, the impact of weather and resources on the process within a certain time period can be determined in advance, generating a time interval that satisfies the construction conditions for that process. This avoids the complex process of repeatedly judging constraints at different times after the process is delayed due to different types of influences. The process construction axis can be stored using time intervals plus Boolean values, which not only facilitates subsequent logical judgments but also avoids placing a significant memory burden on the computer.

[0052] This invention addresses the simulation of complex offshore wind power construction. Before the simulation begins, it centrally processes potential influencing factors that may arise during the simulation process, integrating and simplifying them into a simulation timeline for flexible use during the simulation. The method provided by this invention includes steps such as establishing basic simulation content, researching and obtaining constraints affecting construction, building an influencing factor model, preprocessing various influencing factors, integrating and generating an executable timeline for each process, and calling the executable timeline. While ensuring simulation efficiency, it provides a reasonable analysis and judgment of various factors affecting offshore wind power construction, closely reflecting the real construction environment, and offering flexibility and higher confidence levels. Attached Figure Description

[0053] Figure 1 Structural diagrams for various factors affecting construction.

[0054] Figure 2 This is a diagram illustrating the preprocessing and integration of influencing factors.

[0055] Figure 3 This is a schematic diagram of the executable timeline.

[0056] Figure 4 This is to simulate the process of calling the executable timeline. Detailed Implementation

[0057] The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.

[0058] A simplified method for integrating constraints in discrete event simulation of offshore wind power based on preprocessing and integration is proposed. This method involves several steps: obtaining constraints affecting construction, establishing an influencing factor model, preprocessing various influencing factors, integrating and generating executable timelines for each process, and calling the executable timelines. The method requires the following four designs:

[0059] (1) Research and obtain the limiting conditions affecting construction.

[0060] Identifying the limiting conditions affecting offshore wind power construction is the foundation of the methodology. The influencing factors need to be referenced as much as possible to reflect real-world factors, striving for the realism of the simulation. By establishing simulation constraints through the limiting conditions of offshore wind power construction, the reasons for construction suspension can be reconstructed.

[0061] Offshore weather is complex and unpredictable, significantly impacting the installation of offshore wind turbines. When rainfall exceeds 10 mm / day or wind speed exceeds 6 m / s, all high-altitude operations and hoisting will be suspended. High temperatures also affect construction, and wave conditions often influence processes involving ships. Based on real-world construction conditions, the daily working hours available to workers are strongly correlated with the progress of the project. Discrete event simulation is driven by individual events, and its key attribute is its duration. Setting the daily working hours significantly affects the simulation timeline, as shown in Table 1 below.

[0062] Considering the potential impact of weather factors on construction, five types of meteorological data are required: rainfall, 10m wind speed, 100m wind speed, temperature, and wave height. However, the project spans a long period, making it impossible to directly obtain accurate long-term future weather data. A longitudinal comparison of historical data for the same month in a specific region reveals certain patterns in the region's weather data. Therefore, a method based on Monte Carlo historical weather data fitting is proposed to obtain weather data that approximates actual values. The project start time is then set to the same month in previous years for that region, and the results are analyzed holistically to obtain the project's predicted simulation results.

[0063] Table 1

[0064] event Duration Preceding processes Can it be interrupted? Minimum interruptible duration Probability of delay Delay value A0 <![CDATA[T A0 ]]> / yes 2 15％ 20％ A1 <![CDATA[T A1 ]]> A0 yes 1 10％ 18％ A2 <![CDATA[T A2 ]]> A0, A1 no / 0％ 0％ … … … … … … … Z1 <![CDATA[T Z1 ]]> Y1 yes 2 Z2 <![CDATA[T Z2 ]]> X0 no / 30％ 22％

[0065] Different construction processes have different resource requirements. In actual construction, it is common for resources needed by a certain process to be occupied by other processes, preventing the process from proceeding normally. Based on the actual construction situation, it is necessary to model the construction resources existing in the project site, mainly including a series of transport vehicles needed during transportation and crane resources used during hoisting. A resource pool should be established and each resource should be numbered and recorded.

[0066] (2) Preprocessing of various influencing factors

[0067] like Figure 1 As shown, Figure 1It is a structure diagram of various construction influencing factors. A process may be affected by multiple types of meteorological factors simultaneously. For example, the progress of the hoisting process requires meeting conditions such as temperature, rainfall, wind force, and wave height simultaneously. During the discrete simulation of a process, it is necessary to consider both the specific working time of the process and the climate conditions during that time period. If the climate conditions are not met, the specific working time will be postponed accordingly. Subsequently, new weather data will need to be considered for the postponed time period, and the simulation logic will become very complex under the mutual influence. To simplify the logic and avoid falling into a complex loop, in addition to simplifying the weather factors, the influence of the daily working hours can also be processed in advance before the simulation starts. Different from the ordinary discrete simulation time axis, due to the discontinuous nature of the daily working hours of workers, the simulation time axis is also discontinuous. If the time axis judgment is carried out during the simulation process, the situation of the process will become very complex. Although the weather factors and the daily working hours belong to different types of influences in reality, their results are the same, that is, the process cannot be carried out in the current time period, corresponding to the Boolean value 0. Therefore, before the weather judgment, the judgment of the daily working hours is carried out first. If the current time is not within the working hours, 0 can be directly assigned to the current time period, skipping the weather judgment stage, and completing the comprehensive judgment of multiple factors. As Figure 2 shown Figure 2 It is a process diagram of the preprocessing - integration of influencing factors. Taking the simulation within a certain day as an example, where T0 < T1 < T2 < … T23 < T24;

[0068] The set A of available simulation time for the day is A = {T|T0 < T < T24}

[0069] The set B of available working hours for workers on the day is B = {T|T8 < T < T18}

[0070] The set C of resource available time is C = {T|T10 < T}

[0071] The set D where the wind force is greater than the process - set condition is D = {T|T10 < T < T13}

[0072] The set E where the rainfall is greater than the process - set condition is E = {T|T12 < T < T14}

[0073] When making a logical judgment to obtain the construction time axis, first, confirm the daily available working hours of workers, intersect A and B to get the set O1 = {T|T8 < T < T18}, then confirm the resource usage situation, intersect the set O1 and the set C to get the set O2 = {T|T10 < T < T18}. Secondly, exclude the influence of weather on the process construction, take the complements of O2 with the sets D and E respectively to get O3 = {T|T14 < T < T18}. Finally, confirm that the executable duration of this process is from T14 to T18 on that day.

[0074] (3) Generate an executable timeline for process events

[0075] like Figure 3 As shown, Figure 3 This is a schematic diagram of the executable timeline. The executable timeline for process events is a core concept in offshore wind power construction simulation. It refers to the specific executable time period determined for each construction process during the simulation, taking into account various influencing factors such as weather, sea conditions, resource allocation, and equipment performance. These time periods are typically determined based on historical data, weather forecasts, construction logic rules, and project-specific constraints.

[0076] Specifically, the executable timeline for each construction process will list in detail the start and end times for each process, such as foundation construction, tower hoisting, and wind turbine installation. Determining these time windows requires consideration of the following aspects:

[0077] Meteorological conditions, including wind speed, wind direction, wave height, and tides, directly affect the safety and feasibility of construction. For example, excessively high wind speeds may suspend high-altitude operations, while excessively large waves may affect the stability and transport capacity of ships.

[0078] Resource allocation: This involves the availability of resources such as manpower, equipment, and materials required for construction. The supply and allocation of resources must be matched with the construction plan to ensure the continuity of construction.

[0079] Construction logic rules: Based on construction techniques and engineering practices, determine a reasonable construction sequence and time schedule. For example, some procedures may need to wait for the previous procedure to be completed before they can begin.

[0080] Project-specific constraints: These may include environmental requirements, legal and regulatory restrictions, and special requirements from the owner, which can also affect the construction schedule.

[0081] By integrating these factors, the executable timeline for process events provides a detailed time plan for offshore wind power construction, helping project managers optimize resource allocation, reduce delays caused by unforeseen factors, and improve construction efficiency and safety. This timeline is typically presented in a dictionary list structure, containing the start and end times of each process, as well as possible delays and adjustments.

[0082] (4) Call the executable timeline of the process event

[0083] like Figure 4 As shown, Figure 4 To simulate the process of calling the executable timeline, specifically, the following procedures are included:

[0084] 1) Initialize the simulation environment: Before the simulation starts, you need to set up the simulation environment, including defining simulation parameters and inputting necessary initial conditions, such as construction resources, equipment status, and initial meteorological data.

[0085] 2) Loading Timeline Data: Load the executable timeline data of the process events into the simulation system. This typically involves reading data from a database or file and converting it into a format that the simulation system can recognize and process.

[0086] 3) Matching Work Processes with Timelines: Based on the construction plan, match each work process with its corresponding time period on the timeline. This means determining a start and end time window for each work process, which is determined by the timeline data.

[0087] 4) Invocation during simulation: During simulation, the system dynamically retrieves the corresponding executable time segment from the timeline based on the current time point and process progress. For example, if the current time enters the executable window of a specific process, the simulation system will start the simulation of that process.

[0088] 5) Dynamic Adjustment: The simulation system needs to be able to dynamically adjust the timeline based on real-time data or unexpected events (such as equipment failure). This means the system may need to recalculate the executable time periods for certain processes and update the simulation progress.

[0089] 6) Monitoring and Feedback: During the simulation, the execution status of each process is continuously monitored, and feedback is provided based on the comparison between actual progress and the timeline. If there is a significant deviation between the actual construction progress and the timeline, it may be necessary to adjust the scheduling of subsequent processes.

[0090] This invention also provides a preprocessing-integration-based simplified system for simulating discrete events in offshore wind power, comprising the following modules:

[0091] The construction logic rules and construction simulation scheme establishment module is used to confirm the content of offshore wind power construction simulation, obtain the required production data information, and establish the construction logic rules and construction simulation scheme required for the simulation.

[0092] The process event constraint condition confirmation module is used to confirm the constraint conditions of each process event and the various reasons for delays based on the construction simulation scheme established by the construction logic rules and construction simulation scheme establishment module and the actual production status.

[0093] The module for acquiring raw data of constraints is used to acquire the raw data of constraints confirmed by the constraint confirmation module of the process event.

[0094] An executable timeline integration and output module is used to preprocess and determine the impact of constraints on process events at each stage before the formal simulation begins, and to integrate and output the executable timeline of each event.

[0095] The discrete event simulation module is used to retrieve the executable timeline corresponding to the construction event during the simulation process and complete the discrete event simulation in combination with the process information.

[0096] The present invention also provides an electronic device, which includes a processor, a communication interface, a memory, and a communication bus. The processor, the communication interface, and the memory communicate with each other via the communication bus. The memory is used to store computer programs.

[0097] A processor is configured to execute a computer program stored in memory to implement the steps of the preprocessing-integration-based simplified method for integrating constraints in offshore wind power discrete event simulation, as described above.

[0098] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the preprocessing-integration-based simplified method for integrating constraints in offshore wind power discrete event simulation as described above.

[0099] The above specific embodiments are used to explain and illustrate the present invention, and are only preferred embodiments of the present invention, not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made to the present invention within the spirit and scope of the claims shall fall within the protection scope of the present invention.

Claims

1. A method for simplifying and integrating constraints in offshore wind power discrete event simulation based on preprocessing-integration, characterized in that: Includes the following steps: S1: Confirm the content of offshore wind power construction simulation, obtain the required production data information, and establish the construction logic rules and construction simulation scheme required for the simulation. S2: Based on the construction simulation plan and actual production conditions, identify the constraints of each process event and the various reasons for delays; S3: Obtain the original data confirming the above restrictions; S4: Before the formal simulation begins, preprocess and determine the impact of constraints on process events at each stage, and integrate and output the executable timeline of each event; S5: During the simulation, retrieve the executable timeline corresponding to the construction event and combine it with the process information to complete the discrete event simulation.

2. The method for simplifying and integrating preprocessing-integration-based simulation constraints for discrete events in offshore wind power according to claim 1, characterized in that: In step S2, based on the actual production and construction experience of the project, the types and values ​​of limiting conditions are set for different construction procedures, the attributes of each procedure and the required resource information are confirmed, and preparations are made for subsequent information acquisition. The constraints that need to be confirmed include: - Temperature: Workers cannot work outdoors when the temperature is above the legal limit; -Rainfall: The impact on construction processes is determined by the amount of rainfall per unit time; -Wind: Includes low-altitude / high-altitude wind data. Excessive wind speed will affect the hoisting process. - Wave height: Ensure the buoyancy, stability and seakeeping of construction vessels during offshore operations when the wave height is too high; Finally, configure the quantity of hoisting / transportation resources, allocate human resources, and determine the resource-related constraints for workers' daily work hours.

3. The method for simplifying and integrating preprocessing-integration-based simulation constraints for discrete events in offshore wind power according to claim 1, characterized in that: Step S3 specifically includes the following processes: downloading meteorological influencing factor data and configuring resource influencing factors.

4. The method for simplifying and integrating preprocessing-integration-based simulation constraints for discrete events in offshore wind power according to claim 1, characterized in that: In step S4, some key influencing factors are addressed before the simulation begins, including various weather conditions and the daily working hours of workers. These two types of factors have two significant commonalities: their state remains unchanged throughout the simulation process; if any condition is not met, construction activities will not be able to proceed.

5. The method for simplifying and integrating preprocessing-integration-based simulation constraints for discrete events in offshore wind power according to claim 1, characterized in that: In step S4, the executable timeline is stored in a dictionary structure, with the key being the time node and the value being a Boolean variable representing whether construction is possible. The executable timeline is generated by preprocessing and judging the specific constraints of each process and integrating the construction logic. If the resources or weather conditions do not meet the construction conditions within a certain period, construction cannot be carried out within that period.

6. The method for simplifying and integrating preprocessing-integration-based simulation constraints for discrete events in offshore wind power according to claim 5, characterized in that: Make logical judgments on the process based on the constraints, specifically including the following steps: Analyze the types of constraints currently faced by the construction project, and design a plan based on the actual construction process and program logic to obtain the feasibility of each process; taking a simulation of a certain day as an example, where T0 <T1<T2<…T 23 <T 24 ; The set of available simulation durations for the day is A = {T|T0} <T<T 24 } The set of available working hours for workers on that day is B = {T|T8} <T<T 18 } The set of available resource times is C = {T|T 10 <T} The set of wind forces greater than the process setting conditions is D = {T|T 10 <T<T 13 } The set of rainfall amounts exceeding the process setting conditions is E = {T|T 12 <T<T 14 } When performing logical judgments to obtain the construction timeline, first, confirm the daily working hours of the workers. Then, intersect A and B to obtain the set O1 = {T|T8}. <T<T 18 }, then confirm the resource usage and intersect set O1 with set C to obtain set O2 = {T|T 10 <T<T 18 Secondly, excluding the influence of weather on the construction process, by taking the complements of O2 and sets D and E respectively, we obtain O3 = {T|T 14 <T<T 18 Ultimately, the executable time for this process was confirmed to be T for the day. 14 To T 18 .

7. The method for simplifying and integrating preprocessing-integration-based simulation constraints for discrete events in offshore wind power according to claim 1, characterized in that: Step S5 specifically includes the following steps: S51: Locate the construction timeline corresponding to this process and position the process on the construction timeline according to the simulation clock progress; S52: Obtain construction information for the process, such as construction duration; S53: Find consecutive workable periods within the construction timeline and complete the process simulation.

8. A simplified system for integrating preprocessing-integration of constraints in offshore wind power discrete event simulation, characterized in that: Includes the following modules: The construction logic rules and construction simulation scheme establishment module is used to confirm the content of offshore wind power construction simulation, obtain the required production data information, and establish the construction logic rules and construction simulation scheme required for the simulation. The process event constraint condition confirmation module is used to confirm the constraint conditions of each process event and the various reasons for delays based on the construction simulation scheme established by the construction logic rules and construction simulation scheme establishment module and the actual production status. The module for acquiring raw data of constraints is used to acquire the raw data of constraints confirmed by the constraint confirmation module of the process event. An executable timeline integration and output module is used to preprocess and determine the impact of constraints on process events at each stage before the formal simulation begins, and to integrate and output the executable timeline of each event. The discrete event simulation module is used to retrieve the executable timeline corresponding to the construction event during the simulation process and combine it with the process information to complete the discrete event simulation.

9. An electronic device, comprising a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus, characterized in that: The memory, which is used to store computer programs, A processor for executing a computer program stored in a memory to implement the steps of the preprocessing-integration-based simplified method for integrating constraints in offshore wind power discrete event simulation as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the preprocessing-integration-based simplified method for integrating constraints in offshore wind power discrete event simulation as described in any one of claims 1-7.

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