Bus duct assembly optimization method and system for offshore platform supply and distribution system

Abstract

The present invention discloses a bus duct assembly optimization method and system for an offshore platform supply and distribution system, which relates to the field of busbar installation technology. The method comprises: obtaining target marine environment information through the target offshore platform area location; extracting strongly correlated influencing factors, performing bus duct seismic performance analysis, and obtaining an optimal assembly support scheme based on the seismic performance analysis results; obtaining electrical equipment operating data of the offshore platform supply and distribution system, performing equipment heat dissipation analysis and heat dissipation structure optimization, and obtaining an optimal heat dissipation optimization scheme; and assembling the bus duct in combination with the optimal assembly support scheme and the optimal heat dissipation optimization scheme. The present invention solves the technical problem in the prior art that, due to the particularity of the marine environment, bus duct assembly deviations are easily caused, affecting the safety and stability of the bus duct, and achieves the technical effect of improving the seismic performance and heat dissipation efficiency of the bus duct in the marine environment and improving the operational stability of the system.

Description

Technical Field

[0001] The present invention relates to the technical field of busbar installation, and in particular to a busbar duct assembly optimization method and system for an offshore platform supply and distribution system. Background Art

[0002] The numerous cables installed on offshore oil platforms can easily lead to cable crossover and disorganized clutter. Bus ducts, on the other hand, offer a more aesthetically pleasing, simple design, and ease of maintenance. However, the electrical equipment on offshore platforms generates significant heat during operation. Poor heat dissipation can impact the performance and lifespan of the bus duct. Furthermore, the unique marine environment places high demands on bus duct's seismic resistance. This can easily lead to installation errors during assembly, compromising its safety and operational stability. Summary of the Invention

[0003] The present application provides a bus duct assembly optimization method and system for an offshore platform supply and distribution system, which is used to solve the technical problem in the prior art that due to the particularity of the marine environment, the assembly of the bus duct is easily deviated, affecting the safety and stability of the bus duct.

[0004] The first aspect of the present application provides a bus duct assembly optimization method for an offshore platform supply and distribution system, the method comprising: obtaining target marine environmental information through the target offshore platform area location; extracting strongly correlated influencing factors based on the target offshore environmental information, performing a bus duct seismic performance analysis, and obtaining seismic performance analysis results; generating multiple bus duct assembly support schemes based on the seismic performance analysis results, and obtaining an optimal assembly support scheme through fitness evaluation; obtaining electrical equipment operating data of the offshore platform supply and distribution system, analyzing the thermal behavior of the electrical equipment, identifying potential heat dissipation points and heat dissipation bottlenecks, performing equipment heat dissipation analysis, and obtaining equipment heat dissipation analysis results; optimizing the heat dissipation structure based on the equipment heat dissipation analysis results, obtaining multiple heat dissipation optimization schemes, and obtaining the best heat dissipation optimization scheme through optimization; and assembling the bus duct in combination with the optimal assembly support scheme and the best heat dissipation optimization scheme.

[0005] The second aspect of the present application provides a bus duct assembly optimization system for an offshore platform supply and distribution system, the system comprising: an ocean environment information acquisition module, the ocean environment information acquisition module is used to obtain target ocean environment information through the target ocean platform area location; an earthquake resistance performance analysis module, the earthquake resistance performance analysis module is used to extract strongly correlated influencing factors based on the target ocean environment information, perform bus duct earthquake resistance performance analysis, and obtain earthquake resistance performance analysis results; an optimal assembly support scheme acquisition module, the optimal assembly support scheme acquisition module is used to generate multiple bus duct assembly support schemes according to the earthquake resistance performance analysis results, and obtain the optimal one through fitness evaluation. An assembly support plan; an equipment heat dissipation analysis result acquisition module, which is used to obtain the electrical equipment operating data of the offshore platform supply and distribution system, analyze the thermal behavior of the electrical equipment, identify potential heat dissipation points and heat dissipation bottlenecks, perform equipment heat dissipation analysis, and obtain equipment heat dissipation analysis results; an optimal heat dissipation optimization plan acquisition module, which is used to optimize the heat dissipation structure according to the equipment heat dissipation analysis results, obtain multiple heat dissipation optimization plans, and obtain the optimal heat dissipation optimization plan through optimization; a bus duct assembly module, which is used to assemble the bus duct in combination with the optimal assembly support plan and the optimal heat dissipation optimization plan.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0007] The bus duct assembly optimization method for an offshore platform supply and distribution system provided in the present application relates to the field of busbar installation technology. By acquiring target marine environment information and extracting strongly correlated influencing factors therefrom, the bus duct seismic performance analysis is performed. Based on the seismic performance analysis results, an optimal assembly support scheme is constructed. According to the electrical equipment operation data of the offshore platform supply and distribution system, equipment heat dissipation analysis and heat dissipation structure optimization are performed to obtain the best heat dissipation optimization scheme. Finally, the bus duct is assembled with reference to the optimal assembly support scheme and the best heat dissipation optimization scheme. This solves the technical problem in the prior art that the bus duct assembly is easily deviated due to the particularity of the marine environment, thereby affecting the safety and stability of the bus duct. This achieves the technical effect of improving the seismic performance and heat dissipation efficiency of the bus duct in the marine environment through optimization of the support scheme and the heat dissipation structure, thereby improving the operational stability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0009] Figure 1 A schematic flow chart of a bus duct assembly optimization method for an offshore platform supply and distribution system provided in an embodiment of the present application;

[0010] Figure 2 A schematic diagram of a process for obtaining an optimal assembly support solution in a bus duct assembly optimization method for an offshore platform supply and distribution system provided in an embodiment of the present application;

[0011] Figure 3 A schematic diagram of the process of performing equipment heat dissipation analysis in a bus duct assembly optimization method for an offshore platform supply and distribution system provided in an embodiment of the present application;

[0012] Figure 4 Schematic diagram of the bus duct assembly optimization system structure for an offshore platform supply and distribution system provided in an embodiment of the present application.

[0013] Explanation of the reference numerals: marine environment information acquisition module 11, seismic performance analysis module 12, optimal assembly support solution acquisition module 13, equipment heat dissipation analysis result acquisition module 14, optimal heat dissipation optimization solution acquisition module 15, bus duct assembly module 16. DETAILED DESCRIPTION

[0014] The present application provides a bus duct assembly optimization method for an offshore platform supply and distribution system, which is used to solve the technical problem in the prior art that due to the particularity of the marine environment, the assembly of the bus duct is easily deviated, affecting the safety and stability of the bus duct.

[0015] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0016] It should be noted that the terms "first", "second", etc. in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products or devices.

[0017] Example 1

[0018] like Figure 1 As shown, the present application provides a bus duct assembly optimization method for an offshore platform supply and distribution system, the method comprising:

[0019] P10: Obtain target marine environment information through the target marine platform area location;

[0020] Specifically, based on the target area location of the target ocean platform supply and distribution system, the ocean environment information of the area is collected through sensor networks deployed on the ocean platform, remote sensing satellite images, ocean meteorological stations, etc., including information such as wave height, frequency, and current speed at the target area location, as the target ocean environment information and as basic data for environmental impact analysis.

[0021] P20: Based on the target marine environment information, extract the strongly correlated influencing factors, perform the bus duct seismic performance analysis, and obtain the seismic performance analysis results;

[0022] Furthermore, step P20 in this embodiment of the present application further includes:

[0023] P21: The marine environment information includes current velocity, wave height and period, seawater temperature and salinity, seabed topography and geological structure, and seismic activity information;

[0024] P22: Based on the target ocean environment information, extract strongly correlated influencing factors, including extracting seismic wave spectrum information, wave dynamic load, and wave period;

[0025] P23: Based on the strongly correlated influencing factors, perform seismic performance analysis of the bus duct under multiple scenarios to obtain multi-scenario response characteristics and multi-scenario failure modes;

[0026] P24: Based on the multi-scenario response characteristics and multi-scenario failure modes, the seismic performance analysis results are obtained.

[0027] Optionally, the marine environmental information includes current velocity, wave height and period, seawater temperature and salinity, seabed topography and geological structure, and seismic activity information. These environmental factors have an important impact on the performance and service life of the bus duct. Based on the target marine environmental information, strongly correlated influencing factors are extracted, including seismic wave spectrum information, wave dynamic load, wave period, etc. The strongly correlated influencing factors are related to the seismic performance and stability of the bus duct, and are an important basis for the design, selection and installation of the bus duct.

[0028] Furthermore, the strongly correlated influencing factors are used as simulation variables to conduct seismic performance analysis of the bus duct under multiple scenarios. By simulating and analyzing the response characteristics and failure modes of the bus duct under different scenarios, the performance and potential risks of the bus duct under different environmental influences are obtained. The multi-scenario response characteristics include the change patterns of bus duct displacement, acceleration, strain and other parameters under different scenarios. The multi-scenario failure mode refers to the failure mode of the bus duct under different environmental conditions, including structural damage, electrical failure, etc. The multi-scenario response characteristics and multi-scenario failure modes are matched and mapped to obtain the seismic performance analysis results.

[0029] P30: Based on the seismic performance analysis results, multiple bus duct assembly support schemes are generated, and the optimal assembly support scheme is obtained through fitness evaluation;

[0030] Further, such as Figure 2 As shown, step P30 in the embodiment of the present application also includes:

[0031] P31: Collect sample bus duct assembly support solutions based on big data and build an assembly support solution library;

[0032] P32: Based on the basic information of the target offshore platform supply and distribution system, traverse the assembly support solution library to obtain a template assembly support solution;

[0033] P33: Adaptively adjust the template assembly support scheme based on the seismic performance analysis results to obtain multiple alternative assembly support schemes;

[0034] P34: Traverse the multiple alternative assembly support solutions, perform solution fitness evaluation, and obtain the optimal assembly support solution.

[0035] It should be understood that based on big data, multiple sample bus duct assembly support schemes suitable for marine environments are collected. These schemes may include different support structures, material selections, vibration reduction measures, etc., and an assembly support scheme library is constructed by summarizing and organizing the sample schemes. Furthermore, the basic information of the target marine platform supply and distribution system is obtained, including platform scale, supply and distribution system requirements, environmental conditions, etc., and the assembly support scheme library is traversed for matching to find the template assembly support scheme that best matches the basic information of the target marine platform supply and distribution system.

[0036] Furthermore, based on the multi-scenario response characteristics and multi-scenario failure modes in the seismic performance analysis results, the formwork assembly support scheme is adaptively adjusted multiple times. By adjusting the size, material, and connection method of the support structure, multiple alternative assembly support schemes are obtained. According to preset scheme evaluation rules, the multiple alternative assembly support schemes are traversed, the scheme fitness is evaluated, and the scheme with the highest fitness evaluation is selected as the optimal assembly support scheme.

[0037] Furthermore, step P34 of the embodiment of the present application also includes:

[0038] P34-1: Obtain evaluation indicators for assembly support solutions, including structural stability, cost-effectiveness, feasibility, and environmental impact;

[0039] P34-2: Based on the evaluation index of the assembly support scheme, a fitness evaluation function is constructed;

[0040] P34-3: According to the fitness evaluation function, the fitness evaluation of the multiple alternative assembly support solutions is performed, and the optimal assembly support solution is obtained according to the fitness evaluation results.

[0041] Exemplarily, evaluation indicators for evaluating assembly support schemes are obtained, including structural stability evaluation indicators, cost-effectiveness evaluation indicators, feasibility evaluation indicators, and environmental impact evaluation indicators, and scheme evaluations are performed on the multiple alternative assembly support schemes respectively. By evaluating the strength, stiffness, and stability of the supporting structure, multiple structural stability evaluation indicators are obtained. By analyzing the initial investment cost, maintenance cost, and economic benefits of each scheme, multiple cost-effectiveness evaluation indicators are obtained. By evaluating the construction difficulty, required resources, and time of the scheme, multiple feasibility evaluation indicators of the scheme in actual operation are determined. Through material selection, energy consumption, and emissions, multiple environmental impact evaluation indicators are obtained.

[0042] Furthermore, a fitness evaluation function is constructed using the assembly support scheme evaluation index as an optimization parameter, and based on the fitness evaluation function, combined with the multiple structural stability evaluation indicators, multiple cost-effectiveness evaluation indicators, multiple feasibility evaluation indicators, and multiple environmental impact evaluation indicators, the multiple alternative assembly support schemes are evaluated for fitness, multiple fitness evaluation values ​​are obtained, and the scheme with the largest fitness evaluation value is selected as the optimal assembly support scheme.

[0043] P40: Obtain operating data of electrical equipment in the offshore platform supply and distribution system, analyze the thermal behavior of the electrical equipment, identify potential heat dissipation points and heat dissipation bottlenecks, conduct equipment heat dissipation analysis, and obtain equipment heat dissipation analysis results;

[0044] Further, such as Figure 3 As shown, step P40 in this embodiment of the application also includes:

[0045] P41: Obtain the electrical equipment operating data of the target offshore platform's supply and distribution system according to the preset collection cycle;

[0046] P42: Based on the electrical equipment operation data, heat dissipation point identification and heat dissipation bottleneck diagnosis are performed to obtain multiple potential heat dissipation points and multiple heat dissipation bottlenecks;

[0047] P43: Perform device heat dissipation analysis on the multiple potential heat dissipation points and multiple heat dissipation bottlenecks to obtain device heat dissipation analysis results, wherein the device heat dissipation analysis results include heat dissipation point locations, heat dissipation bottleneck types, and heat dissipation performance evaluation results.

[0048] It should be understood that a device operation data collection cycle is preset, and this cycle can be adjusted according to actual needs. According to the preset collection cycle, the electrical equipment operation data of the target marine platform supply and distribution system is obtained, including equipment current, voltage, power, temperature, humidity, etc. Further, based on the electrical equipment operation data, heat dissipation point identification and heat dissipation bottleneck diagnosis are performed. For example, by analyzing thermal imaging data and thermal model simulation results, high-temperature areas on the electrical equipment, i.e., potential heat dissipation points, can be located, or by identifying areas where the temperature abnormally rises or exceeds the design limit during normal operation, multiple potential heat dissipation points can be obtained. Furthermore, by analyzing the heat dissipation path, including the heat conduction path inside the equipment and the external convection / radiation heat dissipation path, factors that may lead to reduced heat dissipation efficiency, such as dust accumulation on the heat dissipation fins, clogging of the vents, aging of the heat dissipation material, etc., are diagnosed, and multiple heat dissipation bottlenecks are obtained.

[0049] Furthermore, a device heat dissipation analysis is performed on the multiple potential heat dissipation points and multiple heat dissipation bottlenecks to determine the location of each potential heat dissipation point, classify and diagnose the identified heat dissipation bottlenecks, and perform heat dissipation performance evaluation based on heat dissipation efficiency, thermal resistance, temperature rise, etc. to obtain the device heat dissipation analysis results.

[0050] P50: Optimize the heat dissipation structure based on the heat dissipation analysis results of the equipment, obtain multiple heat dissipation optimization solutions, and obtain the best heat dissipation optimization solution through optimization;

[0051] Furthermore, step P50 in the embodiment of the present application further includes:

[0052] P51: Obtain heat dissipation structure optimization indicators, including the number of heat dissipation fins, heat dissipation fin layout, and heat dissipation ventilation path;

[0053] P52: Based on the heat dissipation point location, heat dissipation bottleneck type, and heat dissipation performance evaluation results, establish heat dissipation solution optimization constraints;

[0054] P53: Obtaining an adjustment space and an adjustment step size of the heat dissipation structure optimization index according to the heat dissipation solution optimization constraint;

[0055] P54: Based on the adjustment space and the adjustment step, perform heat dissipation structure adjustment and optimization to generate multiple heat dissipation optimization solutions.

[0056] Optionally, based on the equipment heat dissipation analysis results, the busbar heat dissipation structure is optimized to obtain multiple heat dissipation optimization solutions, and the best heat dissipation optimization solution is obtained through optimization. Specifically, it is first necessary to clarify the key indicators for heat dissipation structure optimization, including the number of heat dissipation fins, the layout of the heat dissipation fins, and the heat dissipation ventilation path. Furthermore, based on the heat dissipation point locations, heat dissipation bottleneck types, and heat dissipation performance evaluation results in the equipment heat dissipation analysis results, constraints for heat dissipation solution optimization are established to ensure that the proposed optimization solution can solve the actual problem.

[0057] Furthermore, according to the optimization constraints of the heat dissipation scheme, the adjustment space and adjustment step of the heat dissipation structure optimization index are determined. The adjustment step refers to the single adjustment value of the optimization variable. Based on the adjustment space and adjustment step, the heat dissipation structure adjustment optimization is performed, and multiple heat dissipation optimization schemes are generated by random combination.

[0058] Furthermore, step P50 in the embodiment of the present application further includes:

[0059] P55: Conduct heat dissipation performance analysis and cost-benefit analysis under multiple working conditions for the multiple heat dissipation optimization solutions, and obtain multiple heat dissipation performance analysis results and multiple cost-benefit analysis results;

[0060] P56: Obtain the operating cost requirements of the target offshore platform's supply and distribution system and the temperature safety values ​​of each electrical device, perform weight distribution, and obtain the heat dissipation performance weight and cost-effectiveness weight;

[0061] P57: Based on the heat dissipation performance weight and the cost-benefit weight, combined with the multiple heat dissipation performance analysis results and the multiple cost-benefit analysis results, a comprehensive performance evaluation is performed to obtain the best heat dissipation optimization solution.

[0062] It should be understood that, for the multiple heat dissipation optimization schemes, heat dissipation performance analysis and cost-benefit analysis are performed under multiple working conditions under different climatic conditions, loads and operating modes, and multiple heat dissipation performance analysis results and multiple cost-benefit analysis results of the multiple heat dissipation optimization schemes under different working conditions are obtained. Furthermore, according to the operating cost requirements of the target marine platform supply and distribution system and the temperature safety value of each electrical equipment, the temperature requirements and benefit requirements are weighted and allocated to obtain the heat dissipation performance weight and cost-benefit weight. The heat dissipation performance weight and cost-benefit weight are used to perform weighted average calculation on the multiple heat dissipation performance analysis results and the multiple cost-benefit analysis results, respectively, to obtain multiple comprehensive performance evaluation results of the multiple heat dissipation optimization schemes. The scheme with the best comprehensive performance evaluation result is selected as the optimal heat dissipation optimization scheme, which reduces cost consumption while ensuring the heat dissipation requirements of the equipment.

[0063] P60: Assemble the bus duct by combining the optimal assembly support solution and the optimal heat dissipation optimization solution.

[0064] Specifically, through the optimal assembly support scheme, the bus duct of the target marine platform supply and distribution system is assembled and supported, the seismic resistance of the bus duct is improved, and its stable operation in the marine environment is guaranteed. Through the optimal heat dissipation optimization scheme, the bus duct heat dissipation structure is assembled to improve the heat dissipation efficiency of the bus duct, which helps to improve the stability and service life of the bus duct in the marine environment, thereby providing guarantee for the normal operation of the entire marine platform supply and distribution system.

[0065] In summary, the embodiments of the present application have at least the following technical effects:

[0066] This application obtains target marine environmental information and extracts strongly correlated influencing factors to analyze the seismic performance of the bus duct. Based on the seismic performance analysis results, the optimal assembly support scheme is constructed. Based on the electrical equipment operation data of the marine platform supply and distribution system, the equipment heat dissipation analysis and heat dissipation structure optimization are performed to obtain the best heat dissipation optimization scheme. Finally, the bus duct is assembled with reference to the optimal assembly support scheme and the best heat dissipation optimization scheme.

[0067] The technical effect of improving the seismic performance and heat dissipation efficiency of the bus duct in the marine environment and thus improving the operational stability of the system has been achieved through optimization of the support scheme and heat dissipation structure.

[0068] Example 2

[0069] Based on the same inventive concept as the bus duct assembly optimization method for the offshore platform supply and distribution system in the aforementioned embodiment, Figure 4 As shown, the present application provides a bus duct assembly optimization system for an offshore platform supply and distribution system. The system and method embodiments in the present application are based on the same inventive concept. The system includes:

[0070] The marine environment information acquisition module 11 is used to acquire target marine environment information according to the target marine platform area location;

[0071] A seismic performance analysis module 12 is configured to extract strongly correlated influencing factors based on the target marine environment information, perform seismic performance analysis on the bus duct, and obtain seismic performance analysis results;

[0072] An optimal assembly support solution acquisition module 13 is configured to generate multiple bus duct assembly support solutions based on the seismic performance analysis results, and acquire an optimal assembly support solution through fitness evaluation;

[0073] Equipment heat dissipation analysis result acquisition module 14, which is used to obtain electrical equipment operating data of the offshore platform supply and distribution system, analyze the thermal behavior of the electrical equipment, identify potential heat dissipation points and heat dissipation bottlenecks, perform equipment heat dissipation analysis, and obtain equipment heat dissipation analysis results;

[0074] The optimal heat dissipation optimization solution acquisition module 15 is used to optimize the heat dissipation structure according to the heat dissipation analysis results of the equipment, obtain multiple heat dissipation optimization solutions, and obtain the optimal heat dissipation optimization solution through optimization;

[0075] The bus duct assembly module 16 is used to assemble the bus duct in combination with the optimal assembly support solution and the optimal heat dissipation optimization solution.

[0076] Furthermore, the seismic performance analysis module 12 is further configured to perform the following steps:

[0077] The marine environment information includes current velocity, wave height and period, seawater temperature and salinity, seabed topography and geological structure, and seismic activity information;

[0078] Based on the target ocean environment information, extracting strongly correlated influencing factors, including extracting seismic wave spectrum information, wave dynamic load, and wave period;

[0079] Based on the strongly correlated influencing factors, the seismic performance of the bus duct is analyzed under multiple scenarios to obtain multi-scenario response characteristics and multi-scenario failure modes;

[0080] Based on the multi-scenario response characteristics and multi-scenario failure modes, the seismic performance analysis results are obtained.

[0081] Furthermore, the optimal assembly support solution acquisition module 13 is further configured to perform the following steps:

[0082] Collect sample bus duct assembly support solutions based on big data and build an assembly support solution library;

[0083] According to the basic information of the target offshore platform supply and distribution system, the assembly support solution library is traversed to obtain the template assembly support solution;

[0084] Adaptively adjusting the template assembly support scheme according to the seismic performance analysis results to obtain multiple alternative assembly support schemes;

[0085] The plurality of alternative assembly support solutions are traversed, and solution fitness evaluation is performed to obtain an optimal assembly support solution.

[0086] Furthermore, the optimal assembly support solution acquisition module 13 is further configured to perform the following steps:

[0087] Obtain evaluation indicators for assembly support solutions, including structural stability, cost-effectiveness, feasibility, and environmental impact;

[0088] Constructing a fitness evaluation function based on the assembly support scheme evaluation index;

[0089] The fitness evaluation function is used to evaluate the fitness of the plurality of candidate assembly support solutions, and the optimal assembly support solution is obtained according to the fitness evaluation result.

[0090] Furthermore, the device heat dissipation analysis result acquisition module 14 is further configured to perform the following steps:

[0091] Acquire electrical equipment operating data of the target offshore platform's supply and distribution system based on a preset acquisition cycle;

[0092] Based on the electrical equipment operation data, heat dissipation point identification and heat dissipation bottleneck diagnosis are performed to obtain multiple potential heat dissipation points and multiple heat dissipation bottlenecks;

[0093] A device heat dissipation analysis is performed on the multiple potential heat dissipation points and multiple heat dissipation bottlenecks to obtain a device heat dissipation analysis result, which includes the heat dissipation point location, heat dissipation bottleneck type, and heat dissipation performance evaluation result.

[0094] Furthermore, the optimal heat dissipation optimization solution acquisition module 15 is further configured to perform the following steps:

[0095] Obtain heat dissipation structure optimization indicators, including the number of heat dissipation fins, heat dissipation fin layout, and heat dissipation ventilation path;

[0096] Based on the heat dissipation point location, heat dissipation bottleneck type, and heat dissipation performance evaluation results, construct heat dissipation solution optimization constraints;

[0097] Obtaining optimization constraints for the heat dissipation solution, and obtaining an adjustment space and an adjustment step size for the heat dissipation structure optimization index;

[0098] Based on the adjustment space and the adjustment step size, the heat dissipation structure is adjusted and optimized to generate multiple heat dissipation optimization solutions.

[0099] Furthermore, the optimal heat dissipation optimization solution acquisition module 15 is further configured to perform the following steps:

[0100] Conducting heat dissipation performance analysis and cost-benefit analysis under multiple working conditions for the multiple heat dissipation optimization solutions to obtain multiple heat dissipation performance analysis results and multiple cost-benefit analysis results;

[0101] Obtain the operating cost requirements of the target offshore platform's supply and distribution system and the temperature safety values ​​of each electrical device, perform weight allocation, and obtain the heat dissipation performance weight and cost-effectiveness weight;

[0102] Based on the heat dissipation performance weight and the cost-benefit weight, and in combination with the multiple heat dissipation performance analysis results and the multiple cost-benefit analysis results, a comprehensive performance evaluation is performed to obtain the best heat dissipation optimization solution.

[0103] It should be noted that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order or sequential sequence shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0104] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application.

[0105] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Obviously, those skilled in the art may make various modifications and variations to this application without departing from the scope of this application. Thus, this application is intended to include such modifications and variations as fall within the scope of this application and its equivalents.

Claims

1. A bus duct assembly optimization method for an offshore platform supply and distribution system, characterized in that: The method comprises: Obtain target marine environment information through the target marine platform area location; Based on the target marine environment information, extracting strongly correlated influencing factors, performing seismic performance analysis on the bus duct, and obtaining seismic performance analysis results; Based on the seismic performance analysis results, multiple bus duct assembly support schemes are generated, and the optimal assembly support scheme is obtained through fitness evaluation; Obtain operating data of electrical equipment in offshore platform supply and distribution systems, analyze thermal behavior of electrical equipment, identify potential heat dissipation points and heat dissipation bottlenecks, conduct equipment heat dissipation analysis, and obtain equipment heat dissipation analysis results; Optimize the heat dissipation structure according to the heat dissipation analysis results of the equipment, obtain multiple heat dissipation optimization solutions, and obtain the best heat dissipation optimization solution through optimization; Assemble the bus duct in combination with the optimal assembly support solution and the optimal heat dissipation optimization solution; Based on the seismic performance analysis results, multiple bus duct assembly support schemes are generated, and the optimal assembly support scheme is obtained through fitness evaluation, including: Collect sample bus duct assembly support solutions based on big data and build an assembly support solution library; According to the basic information of the target offshore platform supply and distribution system, the assembly support solution library is traversed to obtain the template assembly support solution; Adaptively adjusting the template assembly support scheme according to the seismic performance analysis results to obtain multiple alternative assembly support schemes; The plurality of alternative assembly support solutions are traversed, and solution fitness evaluation is performed to obtain an optimal assembly support solution.

2. The method according to claim 1, wherein Based on the target marine environment information, strongly correlated influencing factors are extracted to perform bus duct seismic performance analysis and obtain seismic performance analysis results, including: The marine environment information includes current velocity, wave height and period, seawater temperature and salinity, seabed topography and geological structure, and seismic activity information; Based on the target ocean environment information, extracting strongly correlated influencing factors, including extracting seismic wave spectrum information, wave dynamic load, and wave period; Based on the strongly correlated influencing factors, the seismic performance of the bus duct is analyzed under multiple scenarios to obtain multi-scenario response characteristics and multi-scenario failure modes; Based on the multi-scenario response characteristics and multi-scenario failure modes, the seismic performance analysis results are obtained.

3. The method according to claim 1, wherein Traversing the plurality of alternative assembly support solutions, evaluating the solution adaptability, and obtaining the optimal assembly support solution, including: Obtain evaluation indicators for assembly support solutions, including structural stability, cost-effectiveness, feasibility, and environmental impact; Constructing a fitness evaluation function based on the assembly support scheme evaluation index; The fitness evaluation function is used to evaluate the fitness of the plurality of candidate assembly support solutions, and the optimal assembly support solution is obtained according to the fitness evaluation result.

4. The method according to claim 1, wherein Obtain operating data on electrical equipment in offshore platform supply and distribution systems, analyze thermal behavior of electrical equipment, identify potential heat dissipation points and bottlenecks, and conduct equipment heat dissipation analysis, including: Acquire electrical equipment operating data of the target offshore platform's supply and distribution system based on a preset acquisition cycle; Based on the electrical equipment operation data, heat dissipation point identification and heat dissipation bottleneck diagnosis are performed to obtain multiple potential heat dissipation points and multiple heat dissipation bottlenecks; A device heat dissipation analysis is performed on the multiple potential heat dissipation points and multiple heat dissipation bottlenecks to obtain a device heat dissipation analysis result, which includes the heat dissipation point location, heat dissipation bottleneck type, and heat dissipation performance evaluation result.

5. The method according to claim 4, wherein Optimize the heat dissipation structure based on the heat dissipation analysis results of the equipment to obtain the best heat dissipation optimization solution, which also includes: Obtain heat dissipation structure optimization indicators, including the number of heat dissipation fins, heat dissipation fin layout, and heat dissipation ventilation path; Based on the heat dissipation point location, heat dissipation bottleneck type, and heat dissipation performance evaluation results, construct heat dissipation solution optimization constraints; Obtaining optimization constraints for the heat dissipation solution, and obtaining an adjustment space and an adjustment step size for the heat dissipation structure optimization index; Based on the adjustment space and the adjustment step size, the heat dissipation structure is adjusted and optimized to generate multiple heat dissipation optimization solutions.

6. The method according to claim 5, wherein And obtain the best heat dissipation optimization solution through optimization, including: Conducting heat dissipation performance analysis and cost-benefit analysis under multiple working conditions for the multiple heat dissipation optimization solutions to obtain multiple heat dissipation performance analysis results and multiple cost-benefit analysis results; Obtain the operating cost requirements of the target offshore platform's supply and distribution system and the temperature safety values ​​of each electrical device, perform weight allocation, and obtain the heat dissipation performance weight and cost-effectiveness weight; Based on the heat dissipation performance weight and the cost-benefit weight, and in combination with the multiple heat dissipation performance analysis results and the multiple cost-benefit analysis results, a comprehensive performance evaluation is performed to obtain the best heat dissipation optimization solution.

7. The bus duct assembly optimization system for offshore platform supply and distribution system is characterized by: The system comprises: An ocean environment information acquisition module, which is used to acquire target ocean environment information based on the target ocean platform area location; A seismic performance analysis module, which is used to extract strongly correlated influencing factors based on the target marine environment information, perform seismic performance analysis on the bus duct, and obtain seismic performance analysis results; An optimal assembly support solution acquisition module is used to generate multiple bus duct assembly support solutions based on the seismic performance analysis results, and obtain the optimal assembly support solution through fitness evaluation; An equipment heat dissipation analysis result acquisition module is used to obtain the electrical equipment operating data of the offshore platform supply and distribution system, analyze the thermal behavior of the electrical equipment, identify potential heat dissipation points and heat dissipation bottlenecks, perform equipment heat dissipation analysis, and obtain equipment heat dissipation analysis results; An optimal heat dissipation optimization solution acquisition module is used to optimize the heat dissipation structure according to the heat dissipation analysis results of the device, obtain multiple heat dissipation optimization solutions, and obtain the optimal heat dissipation optimization solution through optimization; A bus duct assembly module, the bus duct assembly module is used to assemble the bus duct in combination with the optimal assembly support solution and the optimal heat dissipation optimization solution; Furthermore, the optimal assembly support solution acquisition module is further configured to perform the following steps: Collect sample bus duct assembly support solutions based on big data and build an assembly support solution library; According to the basic information of the target offshore platform supply and distribution system, the assembly support solution library is traversed to obtain the template assembly support solution; Adaptively adjusting the template assembly support scheme according to the seismic performance analysis results to obtain multiple alternative assembly support schemes; The plurality of alternative assembly support solutions are traversed, and solution fitness evaluation is performed to obtain an optimal assembly support solution.

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