Marine rocket launching platform cable path wiring method based on group algorithm
By combining a swarm optimization algorithm with the Hippo optimization algorithm, the cable path and anti-corrosion coating are dynamically optimized, solving the global optimal coordination problem of cable path routing on marine rocket launch platforms in complex environments. This achieves an efficient integrated solution for cable path and coating, reducing failure rate and maintenance frequency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- LUDONG UNIVERSITY
- Filing Date
- 2026-03-04
- Publication Date
- 2026-06-12
AI Technical Summary
Existing cable routing technology for marine rocket launch platforms is difficult to achieve optimal global coordination in complex, multi-field coupled extreme environments, leading to uncertainties in the lifespan and premature failure of cables, their cable trays, and trans-cabin nodes. Furthermore, insufficient or excessive anti-corrosion coating configuration increases the difficulty of operation and maintenance.
A cable routing method based on swarm optimization algorithm is adopted, combined with the Hippo optimization algorithm. Through a three-dimensional digital model and multi-condition multi-dimensional environmental field data, the cable path and anti-corrosion coating are dynamically optimized to achieve global collaborative optimization, avoid high-risk areas, and improve protection accuracy and local lifespan.
Significantly reduces the failure rate and maintenance frequency throughout the cable life cycle, extends the maintenance cycle, improves the protection accuracy in high-corrosion, high-heat, and high-stress areas, reduces the failure rate by 20%, and extends the maintenance cycle by 30%, achieving joint optimization of cable path and anti-corrosion coating.
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Figure CN122197238A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of marine rocket technology, and in particular to a cable routing method for marine rocket launch platforms based on a swarm algorithm. Background Technology
[0002] As space launch activities shift to offshore platforms, the cabling scheme for the cable system of offshore rocket launch platforms places higher demands on the safety, reliability, and maintenance costs of the entire platform. Existing offshore launch platform cable routing technologies plan the route through static path search or simple heuristic algorithms, and then configure conventional anti-corrosion coatings for local areas based on the degree of environmental exposure after the routing is determined. Traditional cabling methods cannot fully consider the complex effects of multi-field coupling in the extreme environment of offshore platforms, and cables, their cable trays, and penetration nodes often have uncertain lifespans and premature failures.
[0003] Currently, offshore platforms have limited space and a restricted number of cable trays and penetration holes. The cabling process needs to meet multiple engineering constraints, including minimum bending radius, tensile radius, cable tray remaining load capacity, fire-resistant and explosion-proof zoning, penetration hole capacity, and redundant circuit isolation. Realistic constraints often require repeated manual adjustments, which can easily lead to path conflicts and local overloads, and make it difficult to achieve optimal global coordination. At the same time, traditional anti-corrosion coating configurations are mostly based on experience-based zoning or static standards, failing to dynamically adjust for different path segments and multi-condition environmental risks. This results in some areas being over-protected while some high-risk areas are under-protected, increasing material consumption and maintenance difficulty. Summary of the Invention
[0004] One objective of this invention is to propose a cable routing method for marine rocket launch platforms based on a swarm algorithm. This invention improves the protection accuracy and local lifespan of high-corrosion, high-heat, and high-stress areas, and reduces premature failure points and high-frequency maintenance requirements.
[0005] A cable routing method for a marine rocket launch platform based on a swarm algorithm, according to an embodiment of the present invention, includes:
[0006] Collect three-dimensional geometric information and equipment and cabinet coordinate information of the marine rocket launch platform, establish a three-dimensional digital model of the marine rocket launch platform and determine the set of cable terminal points, and obtain multi-condition and multi-dimensional environmental field data covering construction conditions, towing conditions, on-site standby conditions and launch conditions.
[0007] Extract the minimum bending radius value, tensile radius value, and cable tray load-bearing value to construct a set of engineering constraint parameters;
[0008] In the three-dimensional digital model of the marine rocket launch platform, a set of candidate path segments is generated based on the set of engineering constraint parameters. The set of candidate path segments is then combined with multi-condition and multi-dimensional environmental field data to calculate path length information, installation difficulty information, environmental exposure information, and engineering constraint violation information, and a path cost map is constructed.
[0009] Define a set of anti-corrosion coating schemes consisting of primer system, intermediate paint system, topcoat system and dry film thickness level, and establish a path segment-anti-corrosion coating association table based on multi-condition multi-dimensional environmental field data and candidate path segment set;
[0010] Based on the path cost graph and the path segment-anti-corrosion coating association table, a two-layer coding structure for the Hippo optimization algorithm is constructed, and the path selection variables and anti-corrosion coating selection variables are combined into a joint optimization variable set.
[0011] The Hippo optimization algorithm is used to perform global search, elite retention and constraint penalty processing on the joint optimization variable set. Under the consistent evaluation of multi-condition and multi-dimensional environmental field data, a candidate optimal solution set is output. The solution set that satisfies the engineering constraint parameter set is selected from the candidate optimal solution set to obtain the optimal cable path and partitioned anti-corrosion coating layout scheme that satisfies the feasibility of the path cost graph.
[0012] The optimal cable path and the zoned anti-corrosion coating layout scheme are written back to the three-dimensional digital model of the marine rocket launch platform to generate wiring diagrams, material lists, hatch plans and zoned anti-corrosion coating lists.
[0013] Optionally, the suggestions for the three-dimensional digital model of the sea-based rocket launch platform and multi-condition, multi-dimensional environmental field data include:
[0014] Collect three-dimensional geometric information of the sea-based rocket launch platform, and input the platform's structural shape, deck and compartment boundaries, bridge and support layout, and the location and size parameters of the through-holes into the three-dimensional digital model of the sea-based rocket launch platform.
[0015] Collect coordinate information of equipment and cabinets on the marine rocket launch platform, input the installation position and connection interface position of all equipment and cabinets in three-dimensional space into the three-dimensional digital model of the marine rocket launch platform, and form a dataset of equipment and cabinet coordinates;
[0016] Based on the three-dimensional digital model of the sea-based rocket launch platform, the starting and ending points of all cables are identified, and all cable starting and ending points are combined into a set of cable termination points.
[0017] Acquire multi-dimensional environmental field data under construction, towing, in-situ standby, and launch conditions, and input all multi-dimensional environmental field data into the three-dimensional digital model of the marine rocket launch platform to form a multi-condition multi-dimensional environmental field dataset.
[0018] Optionally, the set of construction project constraint parameters includes:
[0019] Extract the geometric information of all passable cable segments and calculate the minimum bending radius for each passable segment;
[0020] Based on the geometric information and material performance parameters of the cable support structure, the tensile radius value is calculated for each passable section;
[0021] Extract the geometric and load-bearing capacity information of all cable trays, and calculate the remaining load-bearing capacity value for each cable tray;
[0022] The minimum bending radius value, tensile radius value, and cable tray load-bearing value are archived together to form a set of engineering constraint parameters.
[0023] Optionally, the construction path cost graph includes:
[0024] The spatial area between each cable start point and cable end point in the cable termination point set is topologically divided according to passable nodes such as cable trays, trays, and hatch openings to form a node set. Based on the set of engineering constraint parameters, the feasibility of all passable connection segments between nodes is determined. Connection segments that do not meet the minimum bending radius value, tensile radius value, and cable tray bearing capacity value are eliminated, and connection segments that meet all constraint conditions are retained as a set of candidate path segments.
[0025] Calculate the path length information for each candidate path segment in the candidate path segment set;
[0026] Calculate the installation difficulty information for each candidate path segment in the candidate path segment set;
[0027] Multi-condition, multi-dimensional environmental field data are mapped to a set of candidate path segments, and environmental exposure information is calculated for each candidate path segment.
[0028] Calculate the engineering constraint violation information for each candidate path segment in the candidate path segment set;
[0029] The path length, installation difficulty, environmental exposure, and engineering constraint violation information of each candidate path segment are combined to form the path cost of the candidate path segment. The path cost of all candidate path segments is then mapped one-to-one with the candidate path segments to form a path cost map.
[0030] Optionally, the step of establishing a path segment-anti-corrosion coating association table based on multi-condition multi-dimensional environmental field data and candidate path segment set includes:
[0031] A set of anti-corrosion coating solutions is established by combining a set of primer systems, a set of intermediate paint systems, a set of topcoat systems, and a set of dry film thickness grades;
[0032] For each candidate path segment in the candidate path segment set, the corrosion risk value is calculated based on the multi-condition multi-dimensional environmental field dataset.
[0033] The remaining corrosion risk value under the action of the coating is obtained by multiplying the corrosion risk value by the corrosion risk reduction factor.
[0034] The corrosion risk value of each candidate path segment is combined with the corrosion risk reduction factor of each anti-corrosion coating scheme to calculate the remaining corrosion risk value under the action of the coating.
[0035] Construct a path segment-anti-corrosion coating association table. Each record in the path segment-anti-corrosion coating association table consists of a candidate path segment identifier, an anti-corrosion coating scheme identifier, and the remaining corrosion risk value under the corresponding coating action.
[0036] Optionally, the initialization and feasible region limitation of the hippo optimization algorithm driven by the multi-condition multi-dimensional environmental field data and engineering constraint parameter set include:
[0037] Constructing a path selection encoding structure for the Hippo optimization algorithm based on path cost graph;
[0038] The coating selection encoding structure of the Hippo optimization algorithm is constructed based on the path segment-anti-corrosion coating association table;
[0039] The path selection coding structure and the coating selection coding structure are combined in a two-layer joint manner to form a joint optimization variable set;
[0040] The path selection coding structure in the joint optimization variable set is responsible for optimizing the spatial layout of the cable path, while the coating selection coding structure is responsible for optimizing the anti-corrosion coating layout of the path segment. The joint optimization variable set is simultaneously driven by both the environmental risk-oriented operator and the residual corrosion risk-sensitive operator, which significantly enhances the robustness of the cable routing scheme to the complex environment of the multi-condition launch platform at sea.
[0041] Optionally, the step of selecting solutions that satisfy the set of engineering constraint parameters from the candidate optimal solution set to obtain the optimal cable path and partitioned anti-corrosion coating layout scheme that satisfies the feasibility of the path cost graph includes:
[0042] The joint optimization variable set is input into the global search framework of the improved hippo optimization algorithm. The global search framework takes the minimization of path cost, the minimization of residual corrosion risk value and the maximization of life cycle reliability as the collaborative optimization objectives, and dynamically constructs environmental risk sensitive areas during the search process.
[0043] In the improved Hippo optimization algorithm, an adaptive elite retention and inheritance mechanism for marine rocket launch platforms is designed. The adaptive elite retention and inheritance mechanism uses path cost and residual corrosion risk value as comprehensive evaluation indicators to select and retain elite individuals whose performance exceeds the threshold in the current generation population. Based on the location and intensity change trend of environmental risk sensitive areas, the weight coefficients of the environmental risk guidance operator and the residual corrosion risk sensitive operator of elite individuals are dynamically fine-tuned.
[0044] A dynamic feasible domain compression mechanism is defined based on the engineering constraint parameter set and the spatial layout of the cable path;
[0045] An iterative population entropy monitoring mechanism is established, which is used to quantify the diversity and differentiation of path layout and coating configuration schemes in the population in real time.
[0046] An iterative population entropy monitoring mechanism for cable routing and anti-corrosion coating layout on marine rocket launch platforms is established. The population entropy monitoring mechanism is used to quantify the diversity and differentiation of routing and coating configuration schemes in the population in real time.
[0047] By combining an adaptive elite retention and inheritance mechanism, a dynamic feasible domain compression mechanism, and an iterative population entropy monitoring mechanism, a dynamic evolutionary feedback control framework is formed. This framework optimizes and adjusts the path selection and coating configuration values of each joint optimization variable set within the population in real time. The candidate optimal solution set is screened and sorted using a comprehensive performance index of path cost value, residual corrosion risk value, and cross-condition consistency coefficient. Ultimately, the optimal cable path and partitioned anti-corrosion coating layout scheme that satisfies the feasibility of the path cost graph are obtained.
[0048] Optionally, the generation of wiring diagrams, bills of materials, perforation plans, and zonal anti-corrosion coating lists includes:
[0049] Based on the optimal cable path and the zoned anti-corrosion coating layout scheme, output the wiring diagram;
[0050] Based on the wiring diagram and the zoning anti-corrosion coating layout plan, output the bill of materials;
[0051] Based on the wiring diagram and engineering constraint parameter set, output the through-hole plan;
[0052] Based on the zoned anti-corrosion coating layout scheme, output a list of zoned anti-corrosion coatings;
[0053] Each cable path in the wiring diagram must meet the following requirements: minimum bending radius value ≥ minimum bending radius value specified in the engineering constraint parameter set; tensile radius value ≥ tensile radius value specified in the engineering constraint parameter set; and cable tray load capacity value ≤ remaining load capacity of the cable tray in the cable tray load capacity parameter set.
[0054] All material types and quantities in the bill of materials must correspond one-to-one with the wiring diagram and the zoning anti-corrosion coating layout plan;
[0055] The spatial location, size, and number of cables passing through all the through-holes in the plan must be completely matched with the wiring diagram and the optimal path, and must not exceed the cable tray load-bearing and zone protection requirements;
[0056] Each anti-corrosion coating partition scheme in the partitioned anti-corrosion coating list must be consistent with the partition matching relationship of multi-condition multi-dimensional environmental field data, path segment-anti-corrosion coating association table, and the final optimal solution.
[0057] The beneficial effects of this invention are:
[0058] (1) This invention achieves global collaborative optimization of cable path and partitioned anti-corrosion coating layout, effectively reducing the failure rate and maintenance frequency throughout the entire life cycle. The cable path wiring and anti-corrosion coating configuration are modeled as a joint optimization problem. Under the framework of the Hippo optimization algorithm, for each cable path, the optimal coating system and thickness are dynamically allocated according to the multi-condition and multi-dimensional environmental field of its location, and high-risk path areas are avoided at the same time. This significantly improves the protection accuracy and local life of high corrosion, high heat and high stress areas, reduces premature failure points and high-frequency maintenance needs. Compared with the conventional method of serial allocation of path and coating, the path-coating integrated solution output by this invention reduces the failure rate of the platform throughout the entire life cycle by more than 20% and extends the maintenance cycle by more than 30%.
[0059] (2) This invention proposes an improved hippo optimization algorithm mechanism for complex constraints under multiple working conditions, which improves global convergence and multi-field robustness. By introducing a focus mechanism for environmental risk sensitive areas, the search weight is dynamically adjusted for extreme environments such as high corrosion, high load, high temperature and strong vibration encountered by the cable path under different working conditions. Through multi-group cooperation and adaptive elite retention, efficient search for the global optimal solution and stability of the solution under working condition switching are achieved.
[0060] (3) The integrated output of the whole process of the present invention not only includes cable wiring diagram, material list, tunnel hole plan and zonal anti-corrosion coating list, but also realizes bidirectional integration with three-dimensional digital model data. The output results data automatically verifies path engineering constraints, coating scheme and material requirements, and corresponds one-to-one with zonal anti-corrosion risks and maintenance cycles. Attached Figure Description
[0061] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:
[0062] Figure 1This is a flowchart of a cable routing method for a marine rocket launch platform based on a swarm algorithm, as proposed in this invention. Detailed Implementation
[0063] Example 1:
[0064] refer to Figure 1 A cable routing method for a marine rocket launch platform based on a swarm algorithm, comprising:
[0065] Collect three-dimensional geometric information and equipment and cabinet coordinate information of the marine rocket launch platform, establish a three-dimensional digital model of the marine rocket launch platform and determine the set of cable terminal points, and obtain multi-condition and multi-dimensional environmental field data covering construction conditions, towing conditions, on-site standby conditions and launch conditions.
[0066] In this embodiment, the suggestions for a three-dimensional digital model of the sea-based rocket launch platform and multi-condition, multi-dimensional environmental field data include:
[0067] Collect three-dimensional geometric information of the sea-based rocket launch platform, and input the platform's structural shape, deck and compartment boundaries, bridge and support layout, and the location and size parameters of the through-holes into the three-dimensional digital model of the sea-based rocket launch platform.
[0068] The three-dimensional digital model of the sea-based rocket launch platform consists of multiple geometric entities. Each geometric entity includes three-dimensional spatial coordinates, attitude angles, and structural dimension parameters. The three-dimensional spatial coordinates include X-direction coordinates, Y-direction coordinates, and Z-direction coordinates. The attitude angles describe the spatial orientation of the geometric entity, and the structural dimension parameters describe the physical dimensions of the geometric entity.
[0069] Collect coordinate information of equipment and cabinets on the marine rocket launch platform, input the installation position and connection interface position of all equipment and cabinets in three-dimensional space into the three-dimensional digital model of the marine rocket launch platform, and form a dataset of equipment and cabinet coordinates;
[0070] Each device or cabinet includes three-dimensional spatial coordinates and interface offsets. The three-dimensional spatial coordinates include X-direction coordinates, Y-direction coordinates, and Z-direction coordinates. The interface offsets describe the specific positional relationship of the device or cabinet interfaces.
[0071] Based on the three-dimensional digital model of the sea-based rocket launch platform, the starting and ending points of all cables are identified, and all cable starting and ending points are combined into a set of cable termination points.
[0072] Each cable termination point is uniquely determined by its three-dimensional spatial coordinates in the three-dimensional digital model of the marine rocket launch platform. Each three-dimensional spatial coordinate includes X-direction coordinates, Y-direction coordinates, and Z-direction coordinates.
[0073] Acquire multi-dimensional environmental field data under construction, towing, in-situ standby, and launch conditions, and input all multi-dimensional environmental field data into the three-dimensional digital model of the marine rocket launch platform to form a multi-condition multi-dimensional environmental field dataset.
[0074] The multidimensional environmental field data includes salt spray concentration distribution, splash zone range, tidal range variation range, engine exhaust flame thermal shock range, electromagnetic interference intensity distribution, and vibration acceleration distribution. Each environmental sampling point in the multi-condition multidimensional environmental field dataset includes salt spray concentration value, splash probability value, thermal shock temperature value, electromagnetic interference intensity value, and vibration acceleration value.
[0075] Based on the three-dimensional digital model of the marine rocket launch platform, multi-condition multi-dimensional environmental field data are mapped point by point with spatial coordinates of all cable terminal points to form a set of cable terminal point environmental mapping relationships. The point-by-point mapping of spatial coordinates establishes a one-to-one correspondence between each cable terminal point and the multi-dimensional environmental field data of its spatial location. Each set of mapping relationships includes a cable terminal point and a multi-dimensional environmental field data item that is completely consistent with the spatial location of the cable terminal point.
[0076] Extract the minimum bending radius value, tensile radius value, and cable tray load-bearing value to construct a set of engineering constraint parameters;
[0077] In this embodiment, the engineering constraint parameter set is constructed, including:
[0078] Extract the geometric information of all passable cable segments and calculate the minimum bending radius for each passable segment;
[0079] The minimum bending radius value represents the minimum spatial curvature that allows the cable to pass through the passable section. The minimum bending radius value is obtained by dividing the arc length of the centerline of the passable section by the angle of the centerline of the passable section. The set of minimum bending radius values is used to constrain the spatial routing of each cable segment during the path planning process.
[0080] Based on the geometric information and material performance parameters of the cable support structure, the tensile radius value is calculated for each passable section;
[0081] The tensile radius value represents the ability of the cable passable section to maintain structural integrity under external force. It is obtained by dividing the maximum allowable bending stress of the cable passable section support structure by the product of the elastic modulus of the cable passable section support structure material and the moment of inertia of the cable passable section support structure section. The set of tensile radius values is used to ensure the structural safety under stress and is applicable to the feasible region limitation of the Hippo optimization algorithm.
[0082] Extract the geometric and load-bearing capacity information of all cable trays, and calculate the remaining load-bearing capacity value for each cable tray;
[0083] The remaining load capacity value represents the maximum load margin that the cable tray can currently bear for cable laying. The remaining load capacity value is obtained by subtracting the actual load occupied by the cable tray from the rated maximum load capacity of the cable tray. The set of remaining load capacity values is used to check the load feasibility of the cable tray in real time during wiring.
[0084] The minimum bending radius value, tensile radius value, and cable tray load-bearing value are archived together to form a set of engineering constraint parameters.
[0085] In the three-dimensional digital model of the marine rocket launch platform, a set of candidate path segments is generated based on the set of engineering constraint parameters. The set of candidate path segments is then combined with multi-condition and multi-dimensional environmental field data to calculate path length information, installation difficulty information, environmental exposure information, and engineering constraint violation information, and a path cost map is constructed.
[0086] In this embodiment, constructing the path cost graph includes:
[0087] The spatial area between each cable start point and cable end point in the cable termination point set is topologically divided according to passable nodes such as cable trays, trays, and hatch openings to form a node set. Based on the set of engineering constraint parameters, the feasibility of all passable connection segments between nodes is determined. Connection segments that do not meet the minimum bending radius value, tensile radius value, and cable tray bearing capacity value are eliminated, and connection segments that meet all constraint conditions are retained as a set of candidate path segments.
[0088] Each candidate path segment in the candidate path segment set is a set of feasible space segments connecting the starting point and the ending point.
[0089] Calculate the path length information for each candidate path segment in the candidate path segment set;
[0090] The path length information measures the actual distance of the candidate path segment in three-dimensional space. The path length information is obtained by taking the difference between the three-dimensional space coordinates of the starting point and the ending point of the candidate path segment, squaring them, summing them, and then taking the square root. The path length information is the actual spatial length corresponding to each candidate path segment.
[0091] Calculate the installation difficulty information for each candidate path segment in the candidate path segment set;
[0092] Installation difficulty information reflects the complexity of the candidate path segment in actual cabling. The installation difficulty information is obtained by separately counting the number of turns, vertical climbing height and number of penetration holes of the candidate path segment, multiplying each item by the corresponding installation difficulty weighting coefficient and then adding them together.
[0093] Multi-condition, multi-dimensional environmental field data are mapped to a set of candidate path segments, and environmental exposure information is calculated for each candidate path segment.
[0094] Environmental exposure information reflects the comprehensive impact of the environment of the candidate path segment on the cable life. It is obtained by multiplying the salt spray concentration, splash probability, thermal shock temperature, electromagnetic interference intensity, and vibration acceleration values at the candidate path segment by their respective environmental risk weighting coefficients and then summing them up.
[0095] Calculate the engineering constraint violation information for each candidate path segment in the candidate path segment set;
[0096] Engineering constraint violation information indicates the severity of a candidate path segment violating any constraint condition in the engineering constraint parameter set. Engineering constraint violation information is obtained by multiplying the violation magnitude of each constraint condition by the corresponding constraint penalty coefficient and then summing the results of all constraint terms.
[0097] The path length, installation difficulty, environmental exposure, and engineering constraint violation information of each candidate path segment are combined to form the path cost of the candidate path segment. The path cost of all candidate path segments is then mapped one-to-one with the candidate path segments to form a path cost map.
[0098] Define a set of anti-corrosion coating schemes consisting of primer system, intermediate paint system, topcoat system and dry film thickness level, and establish a path segment-anti-corrosion coating association table based on multi-condition multi-dimensional environmental field data and candidate path segment set;
[0099] In this embodiment, a path segment-anti-corrosion coating association table is established based on multi-condition, multi-dimensional environmental field data and a set of candidate path segments, including:
[0100] A set of anti-corrosion coating solutions is established by combining a set of primer systems, a set of intermediate paint systems, a set of topcoat systems, and a set of dry film thickness grades;
[0101] Each anti-corrosion coating solution in the collection is uniquely determined by a primer system, an intermediate paint system, a topcoat system, and a dry film thickness grade.
[0102] For each candidate path segment in the candidate path segment set, the corrosion risk value is calculated based on the multi-condition multi-dimensional environmental field dataset.
[0103] The corrosion risk value measures the impact of the environment at the location of the candidate path segment on cable corrosion failure. The corrosion risk value is obtained by multiplying the salt spray concentration, splash probability, and tidal range variation at the location of the candidate path segment by the corresponding corrosion risk weighting coefficients and then summing them.
[0104] The remaining corrosion risk value under the action of the coating is obtained by multiplying the corrosion risk value by the corrosion risk reduction factor.
[0105] The corrosion risk reduction factor represents the proportion by which the anti-corrosion coating solution reduces the corrosion risk. The value ranges from greater than zero to less than or equal to one. The smaller the corrosion risk reduction factor, the stronger the protection capability.
[0106] The corrosion risk value of each candidate path segment is combined with the corrosion risk reduction factor of each anti-corrosion coating scheme to calculate the remaining corrosion risk value under the action of the coating.
[0107] The residual corrosion risk value under the coating effect represents the actual corrosion risk of the candidate path segment after adopting the corresponding anti-corrosion coating solution.
[0108] Construct a path segment-anti-corrosion coating association table. Each record in the path segment-anti-corrosion coating association table consists of a candidate path segment identifier, an anti-corrosion coating scheme identifier, and the remaining corrosion risk value under the corresponding coating action.
[0109] Based on the path cost graph and the path segment-anti-corrosion coating association table, a two-layer coding structure for the Hippo optimization algorithm is constructed, and the path selection variables and anti-corrosion coating selection variables are combined into a joint optimization variable set.
[0110] In this embodiment, the initialization and feasible region limitation of the hippo optimization algorithm driven by multi-condition, multi-dimensional environmental field data and engineering constraint parameter set include:
[0111] Constructing a path selection encoding structure for the Hippo optimization algorithm based on path cost graph;
[0112] Each coding unit in the path selection coding structure corresponds one-to-one with a candidate path segment. The value of the coding unit determines whether the corresponding candidate path segment is selected into the cable routing scheme. By introducing an environmental risk-oriented operator, the dynamic coupling between the candidate path segment selection probability and the corresponding environmental exposure information and engineering constraint default information is achieved.
[0113] The coating selection encoding structure of the Hippo optimization algorithm is constructed based on the path segment-anti-corrosion coating association table;
[0114] Each coding unit of the coating selection coding structure uniquely corresponds to an anti-corrosion coating scheme for a candidate path segment. The value of the coding unit determines the anti-corrosion coating scheme selected for the corresponding path segment. By introducing a residual corrosion risk sensitive operator, the negative feedback adaptive adjustment of the probability of selecting the anti-corrosion coating scheme and the residual corrosion risk value under the action of the corresponding coating is realized.
[0115] The path selection coding structure and the coating selection coding structure are combined in a two-layer joint manner to form a joint optimization variable set;
[0116] The path selection coding structure in the joint optimization variable set is responsible for optimizing the spatial layout of the cable path, while the coating selection coding structure is responsible for optimizing the anti-corrosion coating layout of the path segment. The joint optimization variable set is simultaneously driven by both the environmental risk-oriented operator and the residual corrosion risk-sensitive operator, which significantly enhances the robustness of the cable routing scheme to the complex environment of the multi-condition launch platform at sea.
[0117] The Hippo optimization algorithm is used to perform global search, elite retention and constraint penalty processing on the joint optimization variable set. Under the consistent evaluation of multi-condition and multi-dimensional environmental field data, a candidate optimal solution set is output. The solution set that satisfies the engineering constraint parameter set is selected from the candidate optimal solution set to obtain the optimal cable path and partitioned anti-corrosion coating layout scheme that satisfies the feasibility of the path cost graph.
[0118] In this embodiment, solutions that satisfy the engineering constraint parameter set are selected from the candidate optimal solution set to obtain the optimal cable path and partitioned anti-corrosion coating layout scheme that satisfies the feasibility of the path cost graph, including:
[0119] The joint optimization variable set is input into the global search framework of the improved hippo optimization algorithm. The global search framework takes the minimization of path cost, the minimization of residual corrosion risk value and the maximization of life cycle reliability as the collaborative optimization objectives, and dynamically constructs environmental risk sensitive areas during the search process.
[0120] In Example 1, the joint optimization variable set is input into the global search framework of the improved Hippo optimization algorithm. In each round of global search, based on the multi-condition multi-dimensional environmental field data, the salt spray concentration value, splash probability value, thermal shock temperature value, electromagnetic interference intensity value, and vibration acceleration value at the path segment are multiplied by their respective risk weight coefficients and then summed to obtain the comprehensive environmental risk value of each path segment. Based on the distribution of the comprehensive environmental risk values of all path segments, a quantile threshold is set, and the set of path segments with comprehensive environmental risk values higher than the threshold is defined as an environmental risk sensitive area.
[0121] In the improved Hippo optimization algorithm, an adaptive elite retention and inheritance mechanism for marine rocket launch platforms is designed. The adaptive elite retention and inheritance mechanism uses path cost and residual corrosion risk value as comprehensive evaluation indicators to select and retain elite individuals whose performance exceeds the threshold in the current generation population. Based on the location and intensity change trend of environmental risk sensitive areas, the weight coefficients of the environmental risk guidance operator and the residual corrosion risk sensitive operator of elite individuals are dynamically fine-tuned.
[0122] In Example 1, a comprehensive evaluation index is obtained by multiplying the path cost value and the residual corrosion risk value of each joint optimization variable set by a set weight coefficient and then adding them together. The lower the evaluation index value, the better the overall performance of the individual. After each population iteration, all joint optimization variable sets are sorted according to the comprehensive evaluation index. Individuals with comprehensive evaluation index values in the top 10% and who simultaneously meet the requirements of all engineering constraint parameter sets are selected as the elite individual set. The elite individual set is directly retained to the next generation during intergenerational evolution. The spatial distribution and intensity classification of the environmental risk sensitive area covered by each individual in the elite individual set are analyzed. The weight coefficients of the environmental risk guidance operator and the residual corrosion risk sensitive operator of the elite individuals are dynamically adjusted according to the changing trend of the environmental risk sensitive area in the entire platform space.
[0123] The dynamic adjustment rule is as follows: if the environmental risk sensitivity within the area covered by the elite individual's path increases, the weight coefficient of the environmental risk-oriented operator is increased accordingly, and the weight coefficient of the remaining corrosion risk sensitive operator is simultaneously enhanced; otherwise, the corresponding weight is reduced, so that the elite individual can more sensitively adapt to the spatial changes in the environmental risk sensitive area and achieve cross-generational environmental adaptive optimization inheritance.
[0124] A dynamic feasible domain compression mechanism is defined based on the engineering constraint parameter set and the spatial layout of the cable path;
[0125] The dynamic feasible region compression mechanism calculates and dynamically updates the feasible region compression factor based on the minimum bending radius value, tensile radius value, and cable tray bearing capacity value of the path violation, as well as the spatial connectivity of the path. The feasible region compression factor is coupled with the path cost value and the remaining corrosion risk value and fed back to the population evolution process of the improved Hippo optimization algorithm, which suppresses the spread trend of the violation path in real time and guides the algorithm search to converge quickly to the global feasible region.
[0126] An iterative population entropy monitoring mechanism is established, which is used to quantify the diversity and differentiation of path layout and coating configuration schemes in the population in real time.
[0127] An iterative population entropy monitoring mechanism for cable routing and anti-corrosion coating layout on marine rocket launch platforms is established. The population entropy monitoring mechanism is used to quantify the diversity and differentiation of routing and coating configuration schemes in the population in real time.
[0128] In Example 1, the iterative population entropy monitoring mechanism involves statistically analyzing the value distributions of the path selection encoding structure and coating selection encoding structure for all individuals within the current population during each generation of population evolution. For each path segment and each coating scheme, the frequency of its selection in the current population is calculated, yielding the path selection probability and coating selection probability. These probabilities are then calculated as information entropy. The path selection information entropy is obtained by taking the logarithm of the selection probability of each path segment in the population and weighted summing it. The coating selection information entropy is obtained by taking the logarithm of the distribution probability of each coating scheme in the population and weighted summing it. The total population entropy value is obtained by weighted averaging the path selection information entropy and the coating selection information entropy. A larger total population entropy value indicates higher diversity in path layout and coating configuration schemes within the population, while a smaller total population entropy value indicates that the population is approaching a convergent state.
[0129] By combining an adaptive elite retention and inheritance mechanism, a dynamic feasible domain compression mechanism, and an iterative population entropy monitoring mechanism, a dynamic evolutionary feedback control framework is formed. This framework optimizes and adjusts the path selection and coating configuration values of each joint optimization variable set within the population in real time. The candidate optimal solution set is screened and sorted using a comprehensive performance index of path cost value, residual corrosion risk value, and cross-condition consistency coefficient. Ultimately, the optimal cable path and partitioned anti-corrosion coating layout scheme that satisfies the feasibility of the path cost graph are obtained.
[0130] In Example 1, within each iteration cycle, an adaptive elite retention and inheritance mechanism is used to directly retain the best-ranked joint optimization variable sets in the current population based on the three comprehensive performance indicators of path generation value, residual corrosion risk value, and cross-condition consistency coefficient as elite solutions to the next generation. The weight parameters of the environmental risk-oriented operator and the residual corrosion risk-sensitive operator are dynamically fine-tuned to ensure that the elite solutions inherit the current multi-condition adaptability characteristics. A dynamic feasible region compression mechanism is used to dynamically adjust the survival probability of each solution in subsequent iterations based on the severity of violations of minimum bending radius, tensile radius, bridge bearing capacity, and path space connectivity constraints by each joint optimization variable set during each generation's evolution. Individuals with severe violations are given a high elimination probability, achieving the gradual elimination of joint optimization variable sets that do not meet engineering constraints during the evolutionary process. The population entropy monitoring mechanism continuously monitors the diversity trends of the current population in path layout and coating configuration schemes. When the population entropy value is lower than the preset threshold, it automatically triggers the increase of the global exploration step size and the introduction of new individuals to enhance the ability to escape local optima. When the population entropy value tends to converge, it gradually deepens local development to achieve fine search of the solution space. When the population reaches the maximum number of iterations or the comprehensive performance index converges, all the joint optimization variable sets obtained by the final evolution are sorted from best to worst according to the weighted comprehensive score of path cost value, remaining corrosion risk value and cross-working condition consistency coefficient. The joint optimization variable set that simultaneously satisfies the feasibility of the path cost graph and has the highest ranking is selected as the optimal cable path and zoning anti-corrosion coating layout scheme output to ensure that the final scheme has high reliability and high engineering feasibility under all working conditions and the whole life cycle.
[0131] The optimal cable path and the zoned anti-corrosion coating layout scheme are written back to the three-dimensional digital model of the marine rocket launch platform to generate wiring diagrams, material lists, hatch plans and zoned anti-corrosion coating lists.
[0132] In this embodiment, the generation of wiring diagrams, bills of materials, perforation plans, and zonal anti-corrosion coating lists includes:
[0133] Based on the optimal cable path and the zoned anti-corrosion coating layout scheme, output the wiring diagram;
[0134] In Example 1, the wiring diagram spatially correlates the cable path, cable tray location, and hatch location in the three-dimensional digital model of the marine rocket launch platform with the layout of the anti-corrosion coating in the spatial partitions. The spatial path, crossing structural parts, and partition coating configuration of all cables are marked in three-dimensional coordinate form to form a schematic diagram of the spatial distribution of cable paths.
[0135] The path of each cable in the wiring diagram must simultaneously meet the minimum bending radius, tensile radius, cable tray load-bearing capacity and spatial connectivity requirements of the engineering constraint parameter set, and each path segment must be matched with a unique partitioned anti-corrosion coating scheme according to the optimal solution.
[0136] Based on the wiring diagram and the zoning anti-corrosion coating layout plan, output the bill of materials;
[0137] In Example 1, the bill of materials includes cable type, specifications and length, cable tray type, length and quantity, support bracket quantity and type, through-hole fittings type, size and quantity, as well as the primer system, intermediate paint system, topcoat system, dry film thickness grade and coating material usage for each zone. All material details are categorized according to spatial zones and path segments to ensure that the material usage is completely consistent with the optimal cable path and zoned anti-corrosion coating layout.
[0138] Based on the wiring diagram and engineering constraint parameter set, output the through-hole plan;
[0139] In Example 1, the cable penetration hole plan automatically identifies all locations where each cable passes through the bulkhead between its starting and ending points based on the cable path's location in three-dimensional space. Combining the diameter, quantity, specifications, and cable type of the penetration hole, a detailed spatial distribution table of the penetration hole is generated to ensure that all penetration operations meet the requirements of cable tray load-bearing capacity, spatial connectivity, and zone protection.
[0140] Based on the zoned anti-corrosion coating layout scheme, output a list of zoned anti-corrosion coatings;
[0141] In Example 1, the partitioned anti-corrosion coating list marks the primer system, intermediate paint system, topcoat system and dry film thickness level of all spatial partitions and path segments in the three-dimensional digital model of the marine rocket launch platform. For each spatial partition and path segment, the corresponding anti-corrosion coating material usage, construction area and maintenance cycle are calculated, and the data is consistent with the wiring diagram, material list and penetration hole plan.
[0142] Each cable path in the wiring diagram must meet the following requirements: minimum bending radius value ≥ minimum bending radius value specified in the engineering constraint parameter set; tensile radius value ≥ tensile radius value specified in the engineering constraint parameter set; and cable tray load capacity value ≤ remaining load capacity of the cable tray in the cable tray load capacity parameter set.
[0143] All material types and quantities in the bill of materials must correspond one-to-one with the wiring diagram and the zoning anti-corrosion coating layout plan;
[0144] The spatial location, size, and number of cables passing through all the through-holes in the plan must be completely matched with the wiring diagram and the optimal path, and must not exceed the cable tray load-bearing and zone protection requirements;
[0145] Each anti-corrosion coating partition scheme in the partitioned anti-corrosion coating list must be consistent with the partition matching relationship of multi-condition multi-dimensional environmental field data, path segment-anti-corrosion coating association table, and the final optimal solution.
[0146] Example 2:
[0147] During a certain period of platform operation and maintenance, the platform maintenance team conducted a life-cycle risk assessment on a batch of main control cables that had been in service for 3 years. The system automatically collected the spatial coordinates of the starting and ending points of the main cable numbered "CBL-0421" and simultaneously imported the latest 3D digital model, automatically identifying the cable tray numbers, penetration hole numbers, and all possible spatial partitions that the cable needed to cross. The original cable routing plan was 86 meters long, including an 18-meter salt spray splash zone, a 5-meter high-temperature zone, and two penetration holes. The actual bending radius of the path ranged from 205mm to 265mm. The system automatically detected an overload risk in cable tray "TRAY-07," with a real-time cable tray load capacity of 153 kg / m, which was close to the rated load limit.
[0148] After loading environmental data, the monitoring system determined that the salt spray concentration of the "CBL-0421" high-risk section increased to a maximum of 226 mg / m³, the splash probability increased to 0.71, the peak thermal shock temperature was 288℃, and the peak vibration was 0.95g under multiple platform operating conditions (normal operation, emergency launch, maintenance standby). Data analysis showed that the cable had experienced two instances of insulation surface corrosion spots and one short-term power fluctuation caused by corrosion at the joint within the past 12 months. Relevant inspection reports recorded that the corrosion points were mainly concentrated in the section from the cable tray "TRAY-07" to the hatch "PASS-04".
[0149] Using traditional manual optimization methods, engineers re-evaluated the cabling under the shortest path priority, generating three alternative solutions. Optimization solution 1 reduced the path length to 81 meters and the maximum cable tray load capacity to 139 kg / meter, but increased the splash zone length to 24 meters, while the high-temperature zone distribution remained unchanged. A unified C5M standard anti-corrosion system was selected. Historical maintenance data shows that under this cabling method, the average annual corrosion failure rate for similar paths is 0.83 times / year, the cable tray overload probability is 6.7%, the annual coating material consumption is approximately 22 kg, and the total maintenance time is 14 hours / year.
[0150] Using the method of this invention, the system first automatically generates multi-dimensional attribute parameters for all candidate path segments based on the latest environmental field data and constructs a path cost map. The Hippo optimization algorithm, based on multi-condition environmental exposure information, sets high-risk sensitive weights for high-corrosion and high-heat areas, dynamically suppressing the probability of path segments traversing high-risk zones. During the joint optimization of path and coating, path segments “TRAY-07” to “PASS-04” are marked as environmentally risk-sensitive areas. In the 36th round of population iteration, the optimization algorithm automatically identified that the corrosion risk reduction requirement for this area was significantly higher than the platform average of 0.63, and the system adaptively increased the protection weight of this segment.
[0151] After iterative optimization, the system outputs an optimal path with a total length of 85 meters, a maximum cable tray load of 126 kg / m, a cable tray load below 85% of the rated value, and a bending radius ≥220 mm for all path segments. The exposed length in the splash zone is reduced to 9 meters, and the high-temperature zone is adjusted to 3.2 meters. A composite system of "zinc-rich primer + thick-film epoxy intermediate paint + fluorocarbon topcoat" is automatically configured for the splash zone, increasing the total dry film thickness to 230 μm. A high-temperature resistant ceramic coating is configured for the high-temperature zone, increasing the thickness to 320 μm, while a polyurethane topcoat system is configured for the remaining low-risk areas. The total consumption of anti-corrosion coating materials is 18 kg, a 19% reduction compared to traditional solutions. The system automatically outputs a zoned material list, a cable tray utilization verification table, and a perforation plan.
[0152] During the subsequent 12-month monitoring period, the optimized path experienced only one instance of small-area surface pitting corrosion, with no line failures caused by corrosion. The average maintenance time per operation and maintenance team was 4.3 hours, and the "TRAY-07" cable tray did not experience overload throughout the entire process. The utilization rate of the through-holes increased to 98%. The overall rework rate of platform cables decreased from 9.7% in the past to 2.1%, and the total maintenance time was reduced to 36% of the original.
[0153] Further comparison of annual operating data for the same batch of 20 main cables within the platform using optimized and traditional solutions:
[0154] Under traditional methods, the average exposure rate of high-risk areas along the route is 23%, the annual corrosion failure rate of a single cable is 0.81 times, the annual material consumption per cable is 22.7 kg, and the average maintenance time is 13.8 hours.
[0155] Under this invention, the average exposure rate of high-risk areas along the path is reduced to 8%, the annual corrosion failure rate of a single cable is 0.13 times, the annual material consumption of a single cable is 17.4 kg, the average maintenance time is 4.6 hours, and the annual rework incidents of platform penetration holes are reduced from 13 to 2.
[0156] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.
Claims
1. A cable routing method for a marine rocket launch platform based on a swarm optimization algorithm, characterized in that, include: Collect three-dimensional geometric information and equipment and cabinet coordinate information of the marine rocket launch platform, establish a three-dimensional digital model of the marine rocket launch platform and determine the set of cable terminal points, and obtain multi-condition and multi-dimensional environmental field data covering construction conditions, towing conditions, on-site standby conditions and launch conditions. Extract the minimum bending radius value, tensile radius value, and cable tray load-bearing value to construct a set of engineering constraint parameters; In the three-dimensional digital model of the marine rocket launch platform, a set of candidate path segments is generated based on the set of engineering constraint parameters. The set of candidate path segments is then combined with multi-condition and multi-dimensional environmental field data to calculate path length information, installation difficulty information, environmental exposure information, and engineering constraint violation information, and a path cost map is constructed. Define a set of anti-corrosion coating schemes consisting of primer system, intermediate paint system, topcoat system and dry film thickness level, and establish a path segment-anti-corrosion coating association table based on multi-condition multi-dimensional environmental field data and candidate path segment set; Based on the path cost graph and the path segment-anti-corrosion coating association table, a two-layer coding structure for the Hippo optimization algorithm is constructed, and the path selection variables and anti-corrosion coating selection variables are combined into a joint optimization variable set. The Hippo optimization algorithm is used to perform global search, elite retention and constraint penalty processing on the joint optimization variable set. Under the consistent evaluation of multi-condition and multi-dimensional environmental field data, a candidate optimal solution set is output. The solution set that satisfies the engineering constraint parameter set is selected from the candidate optimal solution set to obtain the optimal cable path and partitioned anti-corrosion coating layout scheme that satisfies the feasibility of the path cost graph. The optimal cable path and the zoned anti-corrosion coating layout scheme are written back to the three-dimensional digital model of the marine rocket launch platform to generate wiring diagrams, material lists, hatch plans and zoned anti-corrosion coating lists.
2. The cable routing method for a marine rocket launch platform based on a swarm algorithm according to claim 1, characterized in that, The recommendations regarding the three-dimensional digital model of the sea-based rocket launch platform and multi-condition, multi-dimensional environmental field data include: Collect three-dimensional geometric information of the sea-based rocket launch platform, and input the platform's structural shape, deck and compartment boundaries, bridge and support layout, and the location and size parameters of the through-holes into the three-dimensional digital model of the sea-based rocket launch platform. Collect coordinate information of equipment and cabinets on the marine rocket launch platform, input the installation position and connection interface position of all equipment and cabinets in three-dimensional space into the three-dimensional digital model of the marine rocket launch platform, and form a dataset of equipment and cabinet coordinates; Based on the three-dimensional digital model of the sea-based rocket launch platform, the starting and ending points of all cables are identified, and all cable starting and ending points are combined into a set of cable termination points. Acquire multi-dimensional environmental field data under construction, towing, in-situ standby, and launch conditions, and input all multi-dimensional environmental field data into the three-dimensional digital model of the marine rocket launch platform to form a multi-condition multi-dimensional environmental field dataset.
3. The cable routing method for a marine rocket launch platform based on a swarm algorithm according to claim 1, characterized in that, The set of construction project constraint parameters includes: Extract the geometric information of all passable cable segments and calculate the minimum bending radius for each passable segment; Based on the geometric information and material performance parameters of the cable support structure, the tensile radius value is calculated for each passable section; Extract the geometric and load-bearing capacity information of all cable trays, and calculate the remaining load-bearing capacity value for each cable tray; The minimum bending radius value, tensile radius value, and cable tray load-bearing value are archived together to form a set of engineering constraint parameters.
4. The cable routing method for a marine rocket launch platform based on a swarm algorithm according to claim 1, characterized in that, The construction path cost graph includes: The spatial area between each cable start point and cable end point in the cable termination point set is topologically divided according to passable nodes such as cable trays, trays, and hatch openings to form a node set. Based on the set of engineering constraint parameters, the feasibility of all passable connection segments between nodes is determined. Connection segments that do not meet the minimum bending radius value, tensile radius value, and cable tray bearing capacity value are eliminated, and connection segments that meet all constraint conditions are retained as a set of candidate path segments. Calculate the path length information for each candidate path segment in the candidate path segment set; Calculate the installation difficulty information for each candidate path segment in the candidate path segment set; Multi-condition, multi-dimensional environmental field data are mapped to a set of candidate path segments, and environmental exposure information is calculated for each candidate path segment. Calculate the engineering constraint violation information for each candidate path segment in the candidate path segment set; The path length, installation difficulty, environmental exposure, and engineering constraint violation information of each candidate path segment are combined to form the path cost of the candidate path segment. The path cost of all candidate path segments is then mapped one-to-one with the candidate path segments to form a path cost map.
5. The cable routing method for a marine rocket launch platform based on a swarm algorithm according to claim 1, characterized in that, The establishment of a path segment-anti-corrosion coating association table based on multi-condition, multi-dimensional environmental field data and candidate path segment sets includes: A set of anti-corrosion coating solutions is established by combining a set of primer systems, a set of intermediate paint systems, a set of topcoat systems, and a set of dry film thickness grades; For each candidate path segment in the candidate path segment set, the corrosion risk value is calculated based on the multi-condition multi-dimensional environmental field dataset. The remaining corrosion risk value under the action of the coating is obtained by multiplying the corrosion risk value by the corrosion risk reduction factor. The corrosion risk value of each candidate path segment is combined with the corrosion risk reduction factor of each anti-corrosion coating scheme to calculate the remaining corrosion risk value under the action of the coating. Construct a path segment-anti-corrosion coating association table. Each record in the path segment-anti-corrosion coating association table consists of a candidate path segment identifier, an anti-corrosion coating scheme identifier, and the remaining corrosion risk value under the corresponding coating action.
6. The cable routing method for a marine rocket launch platform based on a swarm algorithm according to claim 1, characterized in that, The initialization and feasible region limitation of the hippo optimization algorithm driven by the multi-condition, multi-dimensional environmental field data and engineering constraint parameter set include: Constructing the path selection encoding structure for the Hippo optimization algorithm based on the path cost graph; The coating selection encoding structure of the Hippo optimization algorithm is constructed based on the path segment-anti-corrosion coating association table; The path selection coding structure and the coating selection coding structure are combined in a two-layer joint manner to form a joint optimization variable set; The path selection coding structure in the joint optimization variable set is responsible for optimizing the spatial layout of the cable path, while the coating selection coding structure is responsible for optimizing the anti-corrosion coating layout of the path segment. The joint optimization variable set is simultaneously driven by both the environmental risk-oriented operator and the residual corrosion risk-sensitive operator, which significantly enhances the robustness of the cable routing scheme to the complex environment of the multi-condition launch platform at sea.
7. The cable routing method for a marine rocket launch platform based on a swarm algorithm according to claim 1, characterized in that, The process of selecting solutions that satisfy the set of engineering constraint parameters from the candidate optimal solution set to obtain the optimal cable path and partitioned anti-corrosion coating layout scheme that satisfies the feasibility of the path cost graph includes: The joint optimization variable set is input into the global search framework of the improved hippo optimization algorithm. The global search framework takes the minimization of path cost, the minimization of residual corrosion risk value and the maximization of life cycle reliability as the collaborative optimization objectives, and dynamically constructs environmental risk sensitive areas during the search process. In the improved Hippo optimization algorithm, an adaptive elite retention and inheritance mechanism for marine rocket launch platforms is designed. The adaptive elite retention and inheritance mechanism uses path cost and residual corrosion risk value as comprehensive evaluation indicators to select and retain elite individuals whose performance exceeds the threshold in the current generation population. Based on the location and intensity change trend of environmental risk sensitive areas, the weight coefficients of the environmental risk guidance operator and the residual corrosion risk sensitive operator of elite individuals are dynamically fine-tuned. A dynamic feasible domain compression mechanism is defined based on the engineering constraint parameter set and the spatial layout of the cable path; An iterative population entropy monitoring mechanism is established, which is used to quantify the diversity and differentiation of path layout and coating configuration schemes in the population in real time. An iterative population entropy monitoring mechanism for cable routing and anti-corrosion coating layout on marine rocket launch platforms is established. The population entropy monitoring mechanism is used to quantify the diversity and differentiation of routing and coating configuration schemes in the population in real time. By combining an adaptive elite retention and inheritance mechanism, a dynamic feasible domain compression mechanism, and an iterative population entropy monitoring mechanism, a dynamic evolutionary feedback control framework is formed. This framework optimizes and adjusts the path selection and coating configuration values of each joint optimization variable set within the population in real time. The candidate optimal solution set is screened and sorted using a comprehensive performance index of path cost value, residual corrosion risk value, and cross-condition consistency coefficient. Ultimately, the optimal cable path and partitioned anti-corrosion coating layout scheme that satisfies the feasibility of the path cost graph are obtained.
8. The cable routing method for a marine rocket launch platform based on a swarm algorithm according to claim 1, characterized in that, The generated wiring diagram, bill of materials, perforation plan, and zonal anti-corrosion coating list include: Based on the optimal cable path and the zoned anti-corrosion coating layout scheme, output the wiring diagram; Based on the wiring diagram and the zoning anti-corrosion coating layout plan, output the bill of materials; Based on the wiring diagram and engineering constraint parameter set, output the through-hole plan; Based on the zoned anti-corrosion coating layout scheme, output a list of zoned anti-corrosion coatings; Each cable path in the wiring diagram must meet the following requirements: minimum bending radius value ≥ minimum bending radius value specified in the engineering constraint parameter set; tensile radius value ≥ tensile radius value specified in the engineering constraint parameter set; and cable tray load capacity value ≤ remaining load capacity of the cable tray in the cable tray load capacity parameter set. All material types and quantities in the bill of materials must correspond one-to-one with the wiring diagram and the zoning anti-corrosion coating layout plan; The spatial location, size, and number of cables passing through all the through-holes in the plan must be completely matched with the wiring diagram and the optimal path, and must not exceed the cable tray load-bearing and zone protection requirements; Each anti-corrosion coating partition scheme in the partitioned anti-corrosion coating list must be consistent with the partition matching relationship of multi-condition multi-dimensional environmental field data, path segment-anti-corrosion coating association table, and the final optimal solution.