Cable design verification method and system based on multi-specification fusion

Abstract

The invention discloses a cable design verification method and system based on multi-specification fusion. The method comprises the steps that a multi-level cable design specification library is constructed, specification tensors are obtained through structured modeling, design parameters and the specification tensors are combined, a constraint function is constructed, and cross influences between multi-level and multi-source specifications are quantified. Defining an interference degree function, quantifying the conflict degree of any two standard constraints in a cable design parameter space, applying an interference degree function gradient field to a path search process, optimizing an adjustment path of cable design parameters, calculating an optimal design adjustment path, and optimizing an objective function through minimization mapping so as to search the path. And an optimal design parameter adjustment scheme is obtained, so that compliance optimization of cable design is realized. According to the method, compliance reports and optimization suggestions are output, intelligent verification and optimization of cable design are achieved, the efficiency and accuracy of the cable design process are improved, and the method is widely applied to cable design and construction in the industries of electric power, communication and the like.

Description

Technical Field

[0001] The present invention relates to the field of electrical engineering, and particularly to a cable design verification method and system based on multi-specification integration. Background Art

[0002] In modern power engineering, building power distribution and other fields, cable design, as one of the basic tasks of the power system, shoulders the important responsibility of ensuring the safe operation of electrical equipment. Cable design involves the selection of multiple parameters, including cable type, voltage level, current-carrying capacity, laying method, etc. These design parameters must meet multi-level specification requirements. Common specifications include national standards, industry specifications, and internal technical rules of each enterprise. The provisions of these specifications directly affect the safety, reliability, and economy of cable design. Due to different requirements and constraints among various levels of specifications, cable designers need to conduct cumbersome comparison and verification during the design process to ensure that the design meets all standards.

[0003] However, due to the complexity and continuous update of specification content, manual comparison is prone to omissions or errors. Especially in large projects, it may lead to designs that do not meet specification requirements, thereby causing construction risks and safety hazards. Therefore, how to achieve intelligent matching and verification between cable design parameters and multiple specifications during the design stage has become a key issue for improving design quality, reducing project risks, and enhancing work efficiency. The present invention comes into being, aiming to solve the problems of multi-specification integration and compliance verification in cable design through an automated and intelligent approach.

[0004] The prior art has at least the following technical problems: The prior art mostly adopts a verification method based on a single specification, which cannot effectively integrate design requirements from multiple sources and levels, and is prone to overlooking certain implicit conflicts or misalignments, resulting in design results that do not fully meet all specification requirements, and may even cause design safety hazards and project delays; The traditional design optimization process lacks intelligent means and cannot automatically generate an optimal design plan that meets the specifications, increasing the complexity and workload of manual intervention, and reducing the overall design efficiency and quality. Summary of the Invention

[0005] The present invention provides a cable design verification method and system based on multi-specification integration to solve the problems that the prior art mostly adopts a verification method based on a single specification, which cannot effectively integrate design requirements from multiple sources and levels, and is prone to overlooking certain implicit conflicts or misalignments, resulting in design results that do not fully meet all specification requirements, and may even cause design safety hazards and project delays; The traditional design optimization process lacks intelligent means and cannot automatically generate an optimal design plan that meets the specifications, increasing the complexity and workload of manual intervention, and reducing the overall design efficiency and quality.

[0006] A cable design verification method and system based on multi - specification fusion according to the present invention specifically include the following technical solutions: A cable design verification method based on multi - specification fusion includes the following steps: S1. Construct a multi - level cable design specification library, obtain a specification tensor through structured modeling, combine design parameters with the specification tensor, construct a constraint function, and quantify the cross - influence between multi - level and multi - source specifications; S2. Define an interference degree function to quantify the conflict degree between any two specification constraints in the cable design parameter space, use the gradient field of the interference degree function in the path search process to optimize the adjustment path of cable design parameters, calculate the optimal design adjustment path, and obtain the optimal design parameter adjustment plan by minimizing the mapping optimization objective function, so as to achieve compliance optimization of cable design.

[0007] Preferably, the step S1 specifically includes: Construct a multi - level cable design specification library covering national standards, industry specifications and enterprise internal rules, automatically compare design parameters such as cable models, current - carrying capacities, voltage - resistant levels and laying methods by using rule - engine technology, establish a mathematical relationship between each design parameter in the specification and the corresponding constraint conditions and context environment, and construct a multi - level specification tensor to express the dislocation, interaction and constraint relationships of cable design parameters between different specifications; each element in the tensor represents the constraint strength or control effect of a certain design parameter under a specific specification in a specific context environment.

[0008] Preferably, the step S1 specifically includes: Convert different specification constraints into mathematical expressions and apply them to the design parameter space, construct a multi - dimensional constraint function, combine the input design parameters with the specification tensor, and represent the degree to which the design parameters do not conform to the specification under specific constraints; the constraint function accurately quantifies the influence of constraints in different - level specifications on the design scheme by including multiple factors such as cable parameters, specification control weights, and specification error sensitivities.

[0009] Preferably, the step S2 specifically includes: In order to accurately quantify the conflict degree between any two specification constraints in the cable design parameter space, it is necessary to define an interference degree function reflecting the difference strength of the constraint function, calculate the integral value of the square difference of the two specification constraints in the entire design parameter space, and normalize it with the product of the gradient norms of the two to reflect the numerical deviation and structural similarity between the specification constraints.

[0010] Preferably, the step S2 specifically includes: The interference degree function gradient field is used in the path search process. The path refers to the adjustment process from the initial design state to the final optimized design state in the design parameter space. During the path search process, in order to optimize the adjustment path of the cable design parameters, it is necessary to calculate the cost generated each time when transferring from the current state to the next state. The cost function synthesizes the requirements of conflict increase and adjustment smoothness, and obtains the cost of each path conversion.

[0011] Preferably, the S2 specifically includes: Based on the generated optimal path, a mapping optimization objective function is established to select the optimal fine-tuning mapping of the design parameters, further correct the design parameters and ensure compliance with the specifications. In order to select the optimal adjustment mapping, the optimal path tracking deviation and the interference degree after adjustment are comprehensively considered to define the objective function. By minimizing the objective function, it is ensured to obtain the optimal adjustment mapping, so as to realize the compliance optimization of the cable design.

[0012] A cable design verification system based on multi-specification fusion includes the following steps: A design parameter acquisition and mapping module, a multi-level specification library construction module, a specification constraint calculation module, an interference degree calculation module, a path optimization module, and an adjustment mapping module; The design parameter acquisition and mapping module is responsible for importing cable design parameters from the design platform (such as CAD or BIM system) through an interface, and supports manual input or batch import of Excel / CSV format data. All the collected parameters will be mapped into a parameter vector according to the standardized format and automatically bound to the index items in the specification clauses. The collected parameter vector is provided to the multi-level specification library construction module; The multi-level specification library construction module is responsible for constructing a multi-level cable design specification library, covering national standards, industry specifications and enterprise internal rules. Through the rule engine technology, it automatically compares the design parameters with the constraint conditions and context environments in each layer of specifications, generates a multi-dimensional specification tensor, and transfers the constructed specification tensor to the specification constraint calculation module; The specification constraint calculation module combines the design parameters with the specification tensor to transform them into multi-dimensional constraint functions. By calculating the influence between the design parameters and each constraint rule, it quantifies the compliance influence of different levels of specifications on the cable design scheme. The output constraint function will be transferred to the interference degree calculation module; The interference degree calculation module calculates the conflict metric of different specification constraints in the cable design parameter space, measures the difference intensity between the constraints, evaluates the overlapping degree of different specification constraints in the design parameter space, and quantifies the interference degree between each specification through gradient norm normalization. The output interference degree function will be transferred to the path optimization module; The path optimization module conducts path search based on the interference degree calculation results to determine the optimal path for adjusting design parameters. By calculating the cost generated each time when transferring from the current state to the next state, it optimizes the adjustment path of cable design parameters to ensure that the cost of each adjustment is minimized. The generated optimal path will be transmitted to the adjustment mapping module; The adjustment mapping module, based on the optimal path optimization results, establishes a mapping optimization objective function, selects the optimal fine-tuning scheme for design parameters. By calculating the overall cost of design parameter adjustment and comprehensively considering the stability of path adjustment and the reduction of specification conflicts, it finally obtains the optimal adjustment scheme to ensure that the design scheme meets all specification requirements.

[0013] The beneficial effects of the technical solution of the present invention are: 1. By constructing a multi-level cable design specification library covering national standards, industry specifications, and enterprise internal rules, the system can automatically compare the matching degree between cable design parameters and specification requirements during the design stage, improving compliance in the design process, reducing human errors, and ensuring that the cable design meets all relevant standards and regulations; 2. The system adopts a multi-dimensional specification tensor modeling method to accurately express the interaction and constraint relationships between different specifications. By calculating the optimal design parameter adjustment path, it automatically recommends the best design adjustment scheme; through the precise optimization of parameters such as cable model, voltage level, current-carrying capacity, and laying method, it ensures that the design meets various specification requirements while maximizing the avoidance of non-compliant designs; 3. By constructing an interference degree function between specification constraints, the present invention can accurately quantify the conflict degree between different levels of specifications, thereby effectively identifying and solving misalignments, conflicts, or inconsistencies in multi-specification integration. It not only reduces potential problems caused by differences between specification versions but also improves the comprehensiveness and compatibility of cable design schemes; 4. Through the path search algorithm, the system can find the optimal adjustment trajectory in the design parameter space to ensure that the design parameters change smoothly during the adjustment process while reducing conflicts and non-compliance situations. It can not only ensure the compliance of the design results but also improve the efficiency and flexibility of cable design; the system has strong adaptability and scalability and can dynamically adjust the specification library and optimization algorithm according to the specific requirements of different projects, different regions, or different industries, enabling this system to adapt to various application scenarios such as different types of power engineering and building power distribution, with wide industry applicability. Description of the Drawings

[0014] Figure 1 It is a module composition diagram of a cable design verification system based on multi-specification integration according to the present invention.

[0015] Figure 2Flowchart of a cable design verification method based on multi - specification fusion according to the present invention. Detailed implementation manner

[0016] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0017] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0018] The following specifically describes the specific solutions of a cable design verification method and system based on multi - specification fusion provided by the present invention in conjunction with the accompanying drawings.

[0019] Refer to the attached Figure 1 , which shows the component diagram of a cable design verification system module based on multi - specification fusion provided by an embodiment of the present invention, including the following parts: Design parameter acquisition and mapping module, multi - level specification library construction module, specification constraint calculation module, interference degree calculation module, path optimization module, adjustment mapping module; The design parameter acquisition and mapping module is responsible for importing cable design parameters from the design platform (such as CAD or BIM system) through an interface, and supports manual input or batch import of Excel / CSV format data. All collected parameters will be mapped into parameter vectors in a standardized format and automatically bound to the index items in the specification clauses. The collected parameter vectors are provided to the multi - level specification library construction module; The multi - level specification library construction module is responsible for constructing a multi - level cable design specification library, covering national standards, industry specifications and enterprise internal rules. Through rule engine technology, it automatically compares the design parameters with the constraint conditions and context environments in each layer of specifications, generates a multi - dimensional specification tensor, and transfers the constructed specification tensor to the specification constraint calculation module; The specification constraint calculation module combines the design parameters with the specification tensor, transforms them into multi - dimensional constraint functions, quantifies the compliance impact of different layers of specifications on the cable design scheme by calculating the influence between the design parameters and each constraint rule, and the output constraint functions will be transferred to the interference degree calculation module; The interference degree calculation module calculates the conflict measure of different specification constraints in the cable design parameter space, measures the difference intensity between the constraints, evaluates the overlap degree of different specification constraints in the design parameter space, and quantifies the interference degree between each specification through gradient norm normalization. The output interference degree function will be passed to the path optimization module; The path optimization module conducts path search based on the interference degree calculation result to determine the optimal path for adjusting the design parameters. By calculating the cost generated each time when transferring from the current state to the next state, it optimizes the adjustment path of the cable design parameters to ensure that the cost of each adjustment is minimized. The generated optimal path will be passed to the adjustment mapping module; The adjustment mapping module, based on the optimal path optimization result, establishes a mapping optimization objective function, selects the optimal fine-tuning scheme for the design parameters, and finally obtains the optimal adjustment scheme by calculating the overall cost of the design parameter adjustment and comprehensively considering the stability of the path adjustment and the reduction of specification conflicts, ensuring that the design scheme meets all specification requirements.

[0020] Refer to Appendix Figure 2 , which shows a flowchart of a cable design verification method provided by an embodiment of the present invention. The method includes the following steps: S1. Construct a multi-level cable design specification library, obtain a specification tensor through structured modeling, combine the design parameters with the specification tensor, construct a constraint function, and quantify the cross-influence between multi-level and multi-source specifications; Import structured parameter information including cable model, rated voltage, laying method, laying path length, design current-carrying capacity, etc. from the design platform (such as CAD or BIM system) through an interface. At the same time, manual input or batch import of Excel / CSV format data is allowed to ensure the unity and standardization of the data source. All collected parameters will be mapped into a parameter vector according to the standardized format and automatically bound to the index items in the specification clauses, thus providing an accurate input basis for the tensor construction process, avoiding human matching deviation, and ensuring the stability and engineering adaptability of the algorithm operation.

[0021] Build a multi-level cable design specification library, covering national standards, industry specifications, and enterprise internal rules. Use rule engine technology to automatically compare design parameters, such as cable models, current-carrying capacities, voltage withstand levels, and laying methods. By establishing mathematical relationships between each design parameter in the specification and the corresponding constraint conditions and context environment, construct a multi-level specification tensor to express the misalignment, interaction, and constraint relationships of cable design parameters among different specifications; each element in the tensor represents the constraint strength or control effect of a certain design parameter under a specific specification in a specific context environment. Through structured modeling, multiple constraint levels from different specifications can be integrated into a unified tensor structure, enabling specifications from different sources to be compared and analyzed within the same framework. Each dimension and coefficient of the tensor reflect the degree of interaction and influence among the three dimensions of parameters, constraints, and environment in the current specification. The construction formula of the specification tensor is as follows: ; where, is a three-dimensional specification tensor representing the interaction strength among cable design parameters, specification sources, and constraints. Each dimension corresponds to a different attribute: i represents the ordinal number of a specific parameter in cable design (such as current-carrying capacity, voltage level, etc.), j represents the ordinal number of the constraint rule of parameter i in a certain specification (such as national standard, industry standard, enterprise standard, etc.), and k represents the ordinal number of context environment factors (such as temperature, laying method, etc.); represents the specification importance coefficient of the i-th design parameter in the n-th layer of the specification, reflecting the control strength of the i-th design parameter in the standard, which can be obtained by statistically counting the frequency of the current parameter in the standard and normalizing it; represents the absolute control weight of the j-th constraint rule in the n-th layer of the specification, which is assigned by experts or calculated by weighting the complexity of standard clauses (such as formula length, number of limiting conditions); is the k-th context adaptation factor in the n-th layer of the specification, indicating the degree of influence of the environment on the effectiveness of the design parameter, with a value range of [0,1], which can be fitted through the environmental adaptation coefficient of historical projects; represents the misalignment sensitivity between the i-th design parameter and the j-th constraint rule, reflecting the perturbation degree caused by inconsistent definitions under different specification versions, obtained through version text similarity analysis and multiplied by the difference sign matrix; is the integration weight of the n-th layer of the specification, with the national standard being the largest, the industry standard being the second, and the enterprise specification being the smallest.

[0022] Different specification constraints are converted into mathematical expressions and applied to the design parameter space to construct a multidimensional constraint function. The input design parameters are combined with the specification tensor to indicate the degree to which the design parameters under specific constraints do not meet the specifications. The constraint function accurately quantifies the impact of constraints in different levels of specifications on the design scheme by including multiple factors such as cable parameters, specification control weights, and specification error sensitivity.

[0023] Specifically, the square term of the design parameter is multiplied by each weight coefficient in the specification tensor to represent the quadratic constraint between the design parameter and the specification tensor; the second term describes the mutual influence between the design parameters by introducing a logarithmic function of the difference between the design parameters, and assigns different adjustment weights according to the flexibility of the specification; the combination of constraint functions ensures that the cross-influence between multi-level and multi-source specifications can be effectively quantified. Its mathematical expression is: ; in, It is The specification constraint function is used to describe the relationship between the design parameter vector P and the specification tensor Under the normative constraints Compliance impact on design parameters; Used to describe the effect of design parameters on code constraints, is the forcing coefficient, indicating the The mandatory influence of the specification constraint on the i-th design parameter under the j-th constraint rule and the k-th context environment condition is obtained through expert experience, data regression or literature analysis. is the i-th design parameter; is the linkage influence coefficient, which represents the influence of the jth constraint rule on the ith design parameter and the kth contextual environment condition. It is used to quantify the influence of the constraint rule on the nonlinear relationship between the design parameters. Its empirical value can be obtained by performing eigenvalue processing on the covariance matrix of the project history sample parameters through the regression method. and are the design parameters under the jth constraint rule and the kth context environment conditions, such as voltage and current carrying capacity; It is The upper limit of the target value constrained by the specification is directly derived from the specification limit or engineering experience value.

[0024] S2. Define the interference function to quantify the degree of conflict between any two specification constraints in the cable design parameter space. Use the gradient field of the interference function in the path search process to optimize the adjustment path of the cable design parameters and calculate the optimal design adjustment path. By minimizing the mapping optimization objective function, the optimal design parameter adjustment solution is obtained, thereby achieving compliance optimization of the cable design.

[0025] To accurately quantify the conflict degree between any two specification constraints in the cable design parameter space, it is necessary to define an interference degree function that reflects the difference strength of the constraint functions, calculate the integral value of the squared difference of the two specification constraints in the entire design parameter space, and normalize it by the product of the gradient norms of the two, so as to reflect the numerical deviation and structural similarity between the specification constraints.

[0026] Specifically, the numerator part captures the squared difference of the values of the two constraint functions at all feasible points in the parameter space through integration, representing the total energy of the function deviation in the entire design domain; while the denominator part calculates the product of the first-order gradient norm moduli of the two constraint functions, which is used to measure the sensitivity difference in the changing trend. The interference degree function comprehensively reflects whether the two constraints coincide in the spatial structure, whether the function values converge, and whether the change responses are consistent. The formula is as follows: ; Among them, is the th specification constraint and the qth specification constraint The conflict measure on the design parameter space P, that is, the interference degree between the two constraints, reflects the degree of inconsistency between the two constraints in the parameter space; is the design parameter space, representing all possible design parameter combinations; and respectively represent the gradients of the specification constraint and the specification constraint on the design parameter space, indicating the response sensitivity of the design parameter fine-tuning to the specification value; is a constant to prevent numerical instability caused by the denominator being zero, generally taking 10 -6 . The interference degree function The partial derivatives of the interference degree function with respect to each design parameter form the interference degree function gradient field .

[0027] The interference degree function gradient field is used in the path search process. The path refers to the adjustment process from the initial design state to the final optimized design state in the design parameter space; in the path search process, in order to optimize the adjustment path of the cable design parameters, it is necessary to calculate the cost generated each time when transferring from the current state to the next state, design a cost function, which includes two parts: the first part represents the interference increment caused by the design parameter adjustment, reflecting the conflict change between different constraints in the design space; the second part is the physical distance measure between the design parameters, which is used to control the smoothness of the design parameter adjustment and avoid the design instability caused by too large adjustment amplitude. The cost function combines the needs of conflict increase and adjustment smoothness to obtain the cost of each path conversion. The path cost function is constructed as follows: ; Among them, is the total cost from state to state , including the conflict cost and the adjustment cost. is the design state corresponding to the design parameter at time step t; is the cable design parameter vector at time t; is the smoothing coefficient, which is used to control the smoothness of the design parameter adjustment path; represents the square of the Euclidean distance of the design parameter from to , that is, the total change amplitude between the design parameters.

[0028] The one with the minimum total cost among all paths is selected as the optimal path, which is the best adjustment trajectory that can be executed during the design process. The expression is: ; Among them, is the optimal design adjustment path. That is, among all possible adjustment paths, which path has the minimum total cost (i.e., the sum of the costs of all design adjustments), representing the best adjustment order from the initial design to the final optimized design; is the set of all possible paths, that is, all parameter paths from the initial design to the final optimized design; T is the path length (i.e., the total number of time steps).

[0029] Based on the generated optimal path, a mapping optimization objective function is established to select the optimal design parameter fine-tuning mapping, further correct the design parameters and ensure compliance with the specifications; in order to select the optimal adjustment mapping, the objective function is defined by comprehensively considering the optimal path tracking deviation and the interference degree after adjustment. By minimizing the objective function, the optimal adjustment mapping is ensured to be obtained, thereby realizing the compliance optimization of the cable design. The objective function is constructed as follows: ; ; Among them, is the objective function, which is used to calculate the overall cost of the design parameter adjustment, aiming to measure the deviation and conflict of the given adjustment path relative to the optimal design adjustment path , is an optional adjustment path, representing the adjustment path from the initial design to the optimized design; is the optimal adjustment function, representing the optimal design parameter adjustment scheme found through the mapping optimization process; is the parameter vector of the adjusted design parameter adjustment path at time step t, that is, on the optimal design adjustment path The design parameters adjusted on the basis of are obtained through optimization algorithms (such as path search optimization or adjustment algorithms). is the path fidelity weight coefficient, which controls the stability of path adjustment. is the conflict suppression weight coefficient, which controls the reduction intensity of specification conflicts during the adjustment process (i.e., reduces specification inconsistencies) and is set according to the engineering safety factor strategy; A is the set of all feasible paths, including all possible design parameter adjustment sequences. represents the square of the Euclidean distance between the adjusted path and the optimal design adjustment path, which is used to measure the difference between the two, and the goal is to minimize the deviation of path adjustment. Quantifies the intensity of specification conflicts generated after adjustment, and evaluates the compliance of design parameters after adjustment with specifications through the interference function.

[0030] Apply the optimal design parameter adjustment scheme to various relevant parameters of cable design, such as cable type, voltage level, current-carrying capacity, laying method, etc., and make fine-tuning according to the optimization suggestions to ensure effective constraints and verifications under each layer of specifications (national, industrial, and enterprise standards) and meet the requirements of various specifications.

[0031] In summary, a cable design verification method and system based on multi-specification fusion are completed.

[0032] The sequence of invention embodiments is only for description and does not represent the superiority or inferiority of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-tasking and parallel processing are also possible or may be beneficial.

[0033] Each embodiment in this specification is described in a progressive manner. The same or similar parts between each embodiment can be referred to each other, and the key point of each embodiment is to illustrate the differences from other embodiments.

[0034] The above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of each embodiment of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A cable design verification method based on multi-specification fusion, characterized in that, Including steps: S1. Construct a multi-level cable design specification library, obtain a specification tensor through structured modeling, combine design parameters with the specification tensor, construct a constraint function, and quantify the cross-influence between multi-level and multi-source specifications; S2. Define an interference degree function to quantify the conflict degree between any two specification constraints in the cable design parameter space, use the gradient field of the interference degree function in the path search process to optimize the adjustment path of cable design parameters, calculate the optimal design adjustment path, and obtain the optimal design parameter adjustment scheme by minimizing the mapping optimization objective function, thereby realizing the compliance optimization of cable design.

2. The cable design verification method based on multi-specification fusion according to claim 1, wherein In S1, to construct a multi-level cable design specification library, use the rule engine technology to automatically compare design parameters, establish a mathematical relationship between each design parameter in the specification and the corresponding constraint conditions and context environment, and construct a multi-level specification tensor. The construction formula of the specification tensor is as follows: ； Among them, is a three-dimensional gauge tensor, representing the interaction strength among cable design parameters, gauge sources, and constraints. Each dimension corresponds to a different attribute: i represents the ordinal number of cable design parameters, j represents the ordinal number of the gauge constraint rules for parameter i, and k represents the ordinal number of context environmental factors; represents the gauge importance coefficient of the i-th design parameter in the n-th layer of the gauge, reflecting the control strength of the i-th design parameter in the standard, and can be obtained by statistically counting the frequency of the current parameter in the standard and normalizing it; represents the absolute control weight of the j-th constraint rule in the n-th layer of the gauge, which is assigned by experts or calculated by weighting the complexity of the standard clauses; is the k-th context adaptation factor in the n-th layer of the gauge, representing the degree of influence of the environment on the effectiveness of design parameters. The value range is [0, 1], and it can be fitted through the environmental adaptation coefficient of historical projects; represents the misalignment sensitivity between the i-th design parameter and the j-th constraint rule, reflecting the degree of perturbation caused by inconsistent definitions under different gauge versions, and is obtained by analyzing the similarity of version texts and multiplying by the difference sign matrix; is the fusion weight of the n-th layer of the gauge, with the national standard being the largest, the industry standard being the second, and the enterprise specification being the smallest.

3. A cable design verification method based on multi-specification fusion according to claim 1, characterized in that In S1, different specification constraints are transformed into mathematical expressions and applied to the design parameter space to construct a multi-dimensional constraint function, and its mathematical expression is: ; Among them, is the th specification constraint function, which is used to describe the compliance impact of the specification constraint on the design parameters under the design parameter vector P and the specification tensor ; is used to describe the impact of the design parameters on the specification constraints, is the forced action coefficient, which represents the forced impact of the th specification constraint on the th design parameter under the th constraint rule and the th context environmental condition, and is obtained through expert experience, data regression or literature analysis; and are the design parameters under the th constraint rule and the th context environmental condition respectively; is the upper bound of the target value of the th specification constraint, which directly comes from the specification limit or the engineering experience value.

4. A cable design verification method based on multi-specification fusion according to claim 1, characterized in that In S2, define an interference degree function that reflects the difference strength of the constraint function, reflecting the numerical deviation and structural similarity between specification constraints. The formula is as follows: ； Among them, is the constraint of the th specification, and the conflict measure of the th specification constraint on the design parameter space P, that is, the interference degree between the two constraints, reflects the inconsistency degree between the two constraints in the parameter space; is the design parameter space, representing all possible combinations of design parameters; and respectively represent the gradients of the specification constraint and the specification constraint on the design parameter space, indicating the response sensitivity of the fine-tuning of the design parameters to the specification values; -6 .

5. A cable design verification method based on multi-specification fusion according to claim 1, characterized in that In S2, calculate the cost generated each time transferring from the current state to the next state, design a cost function, and the path cost function is constructed as follows: ； Among them, is the status to status total cost, including conflict cost and adjustment cost, is the design status corresponding to the design parameter at time step t; is the cable design parameter vector at time t; is the smoothing coefficient, used to control the smoothness of the design parameter adjustment path; represents from to the square of the Euclidean distance of the design parameters, that is, the total change amplitude between the design parameters.

6. The cable design verification method based on multi-specification fusion according to claim 1, wherein In the above S2, a mapping optimization objective function is established, the optimal design parameter fine-tuning mapping is selected, and the optimal adjustment mapping is obtained. The formula is as follows: ; ； Among them, is the objective function, which is used to calculate the overall cost of design parameter adjustment, aiming to measure the deviation and conflict of a given adjustment path relative to the optimal design adjustment path ; is an optional adjustment path, representing the adjustment path from the initial design to the optimized design; is the optimal adjustment function, representing the optimal design parameter adjustment scheme found through the mapping optimization process; is the adjusted design parameter adjustment path at the parameter vector at time step t, that is, the design parameters adjusted on the basis of the optimal design adjustment path and obtained through the path search optimization algorithm; is the path fidelity weight coefficient, which controls the stability of path adjustment; is the conflict suppression weight coefficient, which controls the reduction strength of the specification conflict during the adjustment process and is set according to the engineering safety factor strategy; A is the set of all feasible paths, including all possible design parameter adjustment sequences; represents the square of the Euclidean distance between the adjusted path and the optimal design adjustment path, which is used to measure the difference between the two, and the goal is to minimize the deviation of path adjustment; quantifies the strength of the specification conflict generated after adjustment, and evaluates the compliance of the adjusted design parameters with the specifications through the interference function.

7. A cable design verification system based on multi-specification fusion, characterized in that Including: A design parameter acquisition and mapping module, a multi-level specification library construction module, a specification constraint calculation module, an interference degree calculation module, a path optimization module, and an adjustment mapping module; The design parameter acquisition and mapping module is responsible for importing cable design parameters from the design platform through an interface, and supports manual input or batch import of Excel / CSV format data. All collected parameters will be mapped into a parameter vector according to the standardized format and automatically bound to the index items in the specification clauses. The collected parameter vector is provided to the multi-level specification library construction module; The multi-level specification library construction module is responsible for constructing a multi-level cable design specification library, covering national standards, industry specifications, and enterprise internal rules. Through the rule engine technology, automatically compare design parameters with the constraint conditions and context environment in each layer of specifications, generate a multi-dimensional specification tensor, and transfer the constructed specification tensor to the specification constraint calculation module; The specification constraint calculation module combines design parameters with the specification tensor, transforms them into multi-dimensional constraint functions, quantifies the compliance impact of different levels of specifications on the cable design scheme by calculating the influence between design parameters and each constraint rule, and the output constraint function will be transferred to the interference degree calculation module; The interference degree calculation module calculates the conflict measure between different specification constraints in the cable design parameter space, measures the difference strength between constraints, evaluates the overlapping degree of different specification constraints in the design parameter space, and quantifies the interference degree between specifications through gradient norm normalization. The output interference degree function will be transferred to the path optimization module; The path optimization module conducts path search based on the interference degree calculation result to determine the best path for design parameter adjustment, optimizes the adjustment path of cable design parameters by calculating the cost generated each time transferring from the current state to the next state, ensures that the cost of each adjustment is minimized, and the generated optimal path will be transferred to the adjustment mapping module; Adjustment mapping module, based on the optimal path optimization result, establishes a mapping optimization objective function, selects the optimal fine-tuning scheme for design parameters, calculates the overall cost of design parameter adjustment, comprehensively considers the stability of path adjustment and the reduction of specification conflicts, and finally obtains the optimal adjustment scheme to ensure that the design scheme meets all specification requirements.

Images