A cable design verification method and system based on multi-standard fusion

Abstract

The present invention discloses a cable design verification method and system based on multi-specification fusion, the method comprising: constructing a multi-level cable design specification library, obtaining a specification tensor through structured modeling, combining design parameters with the specification tensor, constructing a constraint function, and quantifying the cross-influence between multi-level and multi-source specifications; defining an interference function, quantifying the degree of conflict between any two specification constraints in the cable design parameter space, using the interference function gradient field in the path search process, optimizing the adjustment path of the cable design parameters, calculating the optimal design adjustment path, and obtaining the optimal design parameter adjustment scheme by minimizing the mapping optimization objective function, thereby achieving compliance optimization of the cable design. The present invention outputs a compliance report and optimization suggestions, realizes intelligent verification and optimization of the cable design, improves the efficiency and accuracy of the cable design process, and is widely used in cable design and construction in industries such as electricity and communications.

Description

Technical Field

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

[0002] In modern power engineering, building power distribution, and other fields, cable design, as one of the foundational tasks of power systems, bears the heavy responsibility of ensuring the safe operation of electrical equipment. Cable design involves selecting multiple parameters, including cable model, voltage level, current carrying capacity, and installation method. These design parameters must comply with multi-level regulatory requirements. Common regulations include national standards, industry specifications, and internal technical regulations of individual companies. The provisions of these regulations directly impact the safety, reliability, and economic efficiency of cable design. Due to the varying requirements and constraints between the various levels of regulations, cable designers must conduct tedious comparisons and verifications during the design process to ensure that the design meets all standards.

[0003] However, due to the complexity and constant updating of specifications, manual comparison is prone to omissions or errors, especially in large projects, which may lead to designs that do not meet the requirements of the specifications, 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 phase has become a key issue in improving design quality, reducing engineering risks and improving work efficiency. This invention has arisen at this time and aims to solve the difficult problems of multi-specification integration and compliance verification in cable design through an automated and intelligent approach.

[0004] There are at least the following technical problems in the existing technology: the existing technology mostly adopts a single standard verification method, which cannot effectively integrate multi-source and multi-level design requirements, and is prone to overlooking certain hidden conflicts or dislocations, resulting in design results that do not fully meet all standard requirements, and may even cause design safety hazards and project delays; the traditional design optimization process lacks intelligent means and cannot automatically generate the optimal design plan that meets the specifications, which increases the complexity and workload of manual intervention and reduces 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 fusion to solve the problems that the existing technology mostly adopts a single-specification verification method, which cannot effectively integrate multi-source and multi-level design requirements, easily ignores certain hidden conflicts or dislocations, 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 the optimal design solution that meets the specifications, which increases the complexity and workload of manual intervention and reduces the overall design efficiency and quality.

[0006] The present invention provides a cable design verification method and system based on multi-standard fusion, which specifically includes the following technical solutions:

[0007] A cable design verification method based on multi-standard fusion includes the following steps:

[0008] S1. Build a multi-level cable design specification library, obtain specification tensors through structured modeling, combine design parameters with specification tensors, construct constraint functions, and quantify the cross-influence between multi-level and multi-source specifications;

[0009] S2. Define the interference function to quantify the degree of conflict between any two specification constraints in the cable design parameter space. Use the interference function gradient field 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.

[0010] Preferably, the S1 specifically includes:

[0011] Build a multi-level cable design specification library covering national standards, industry specifications and internal corporate rules, and use rule engine technology to automatically compare design parameters such as cable model, current carrying capacity, voltage rating and laying method. By establishing a mathematical connection between each design parameter in the specification and the corresponding constraint conditions and context environment, a multi-level specification tensor is constructed to express the dislocation, interaction and constraint relationship between cable design parameters in different specifications; each element in the tensor represents the constraint strength or control effect of a design parameter under a specific specification in a specific context environment.

[0012] Preferably, the S1 specifically includes:

[0013] Different code 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 code tensor to indicate the degree to which the design parameters under specific constraints do not comply with the code. The constraint function accurately quantifies the impact of constraints in different levels of code on the design scheme by including multiple factors such as cable parameters, code control weights, and code error sensitivity.

[0014] Preferably, the S2 specifically includes:

[0015] In order to accurately quantify the degree of conflict between any two specification constraints in the cable design parameter space, it is necessary to define an interference function that reflects the strength of the difference between the constraint functions. The squared integral of the difference between the two specification constraints in the entire design parameter space is calculated and normalized by the product of their gradient moduli to reflect the numerical deviation and structural similarity between the specification constraints.

[0016] Preferably, the S2 specifically includes:

[0017] The interferometry function gradient field is used in the path search process. A 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, the cost of each transition from the current state to the next state must be calculated. The cost function combines the requirements of increasing conflicts and smoothing adjustments to derive the cost of each path transition.

[0018] Preferably, the S2 specifically includes:

[0019] 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 adjusted interference degree. By minimizing the objective function, the optimal adjustment mapping is ensured, thereby achieving compliance optimization of the cable design.

[0020] A cable design verification system based on multi-standard fusion includes the following steps:

[0021] Design parameter acquisition and mapping module, multi-level specification library construction module, specification constraint calculation module, interference calculation module, path optimization module, adjustment mapping module;

[0022] The design parameter collection and mapping module is responsible for importing cable design parameters from the design platform (such as CAD or BIM system) through the interface. It supports manual input or batch import of Excel / CSV format data. All collected parameters will be mapped into parameter vectors according to the 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;

[0023] The multi-level specification library construction module is responsible for building a multi-level cable design specification library, covering national standards, industry specifications and internal enterprise rules. Through rule engine technology, it automatically compares design parameters with the constraints and context in each level of specifications, generates a multi-dimensional specification tensor, and passes the constructed specification tensor to the specification constraint calculation module.

[0024] The specification constraint calculation module combines design parameters with specification tensors and converts them into multi-dimensional constraint functions. By calculating the impact between design parameters and various constraint rules, it quantifies the impact of different levels of specifications on the compliance of cable design solutions. The output constraint function will be passed to the interference calculation module;

[0025] The interference calculation module calculates the conflict metric of different specification constraints in the cable design parameter space, measures the difference strength between the constraints, evaluates the degree of overlap of different specification constraints in the design parameter space, and quantifies the interference between the specifications through gradient norm normalization. The output interference function will be passed to the path optimization module;

[0026] The path optimization module performs path search based on the interference calculation results to determine the best path for adjusting the design parameters. By calculating the cost generated each time the current state is transferred to the next state, the adjustment path of the cable design parameters is optimized to ensure that the cost of each adjustment is minimized. The generated optimal path will be passed to the adjustment mapping module.

[0027] The mapping adjustment module establishes a mapping optimization objective function based on the optimal path optimization results, selects the optimal design parameter fine-tuning scheme, calculates the overall cost of design parameter adjustment, comprehensively considers the stability of path adjustment and the reduction of specification conflicts, and ultimately obtains the optimal adjustment scheme to ensure that the design scheme meets all specification requirements.

[0028] The beneficial effects of the technical solution of the present invention are:

[0029] 1. By building a multi-level cable design specification library covering national standards, industry specifications, and internal corporate rules, the system can automatically compare the matching degree between cable design parameters and specification requirements during the design phase, improving compliance during the design process, reducing human errors, and ensuring that cable designs comply with all relevant standards and regulations;

[0030] 2. The system uses a multi-dimensional specification tensor modeling method to accurately express the interactions and constraints between different specifications. By calculating the optimal design parameter adjustment path, it automatically recommends the best design adjustment plan. By accurately optimizing parameters such as cable model, voltage level, current carrying capacity, and laying method, it ensures that the design meets various specification requirements while minimizing non-compliant designs.

[0031] 3. By constructing an interference function between specification constraints, this invention can accurately quantify the degree of conflict between specifications at different levels, effectively identifying and resolving misalignment, conflict, or inconsistency issues in multi-specification fusion. This not only reduces potential issues caused by differences between specification versions, but also improves the comprehensiveness and compatibility of cable design solutions.

[0032] 4. Through the path search algorithm, the system can find the optimal adjustment trajectory in the design parameter space, ensuring that the design parameters change smoothly during the adjustment process, while reducing conflicts and non-compliance with specifications. This not only ensures the compliance of the design results, but also improves 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 needs of different projects, different regions or different industries, so that this system can adapt to various application scenarios such as different types of power engineering, building power distribution, etc., and has wide industry applicability. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a module composition diagram of a cable design and verification system based on multi-standard fusion described in the present invention.

[0034] Figure 2 This is a flow chart of a cable design and verification method based on multi-standard fusion described in the present invention. DETAILED DESCRIPTION

[0035] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0036] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0037] The following describes in detail a cable design verification method and system based on multi-standard fusion provided by the present invention with reference to the accompanying drawings.

[0038] Refer to the attached Figure 1 , which shows a module composition diagram of a cable design and verification system based on multi-standard fusion provided by an embodiment of the present invention, including the following parts:

[0039] Design parameter acquisition and mapping module, multi-level specification library construction module, specification constraint calculation module, interference calculation module, path optimization module, adjustment mapping module;

[0040] The design parameter collection and mapping module is responsible for importing cable design parameters from the design platform (such as CAD or BIM system) through the interface. It supports manual input or batch import of Excel / CSV format data. All collected parameters will be mapped into parameter vectors according to the 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;

[0041] The multi-level specification library construction module is responsible for building a multi-level cable design specification library, covering national standards, industry specifications and internal enterprise rules. Through rule engine technology, it automatically compares design parameters with the constraints and context in each level of specifications, generates a multi-dimensional specification tensor, and passes the constructed specification tensor to the specification constraint calculation module.

[0042] The specification constraint calculation module combines design parameters with specification tensors and converts them into multi-dimensional constraint functions. By calculating the impact between design parameters and various constraint rules, it quantifies the impact of different levels of specifications on the compliance of cable design solutions. The output constraint function will be passed to the interference calculation module;

[0043] The interference calculation module calculates the conflict metric of different specification constraints in the cable design parameter space, measures the difference strength between the constraints, evaluates the degree of overlap of different specification constraints in the design parameter space, and quantifies the interference between the specifications through gradient norm normalization. The output interference function will be passed to the path optimization module;

[0044] The path optimization module performs path search based on the interference calculation results to determine the best path for adjusting the design parameters. By calculating the cost generated each time the current state is transferred to the next state, the adjustment path of the cable design parameters is optimized to ensure that the cost of each adjustment is minimized. The generated optimal path will be passed to the adjustment mapping module.

[0045] The mapping adjustment module establishes a mapping optimization objective function based on the optimal path optimization results, selects the optimal design parameter fine-tuning scheme, calculates the overall cost of design parameter adjustment, comprehensively considers the stability of path adjustment and the reduction of specification conflicts, and ultimately obtains the optimal adjustment scheme to ensure that the design scheme meets all specification requirements.

[0046] Refer to the attached Figure 2 , which shows a flow chart of a cable design verification method based on multi-standard fusion provided by an embodiment of the present invention, the method comprising the following steps:

[0047] S1. Build a multi-level cable design specification library, obtain specification tensors through structured modeling, combine design parameters with specification tensors, construct constraint functions, and quantify the cross-influence between multi-level and multi-source specifications;

[0048] Structured parameter information, including cable model, rated voltage, laying method, laying path length, and designed current carrying capacity, is imported from design platforms (such as CAD or BIM systems) through interfaces. Manual input or batch import of Excel / CSV formatted data is also allowed, ensuring the uniformity and standardization of data sources. All collected parameters are mapped into parameter vectors in a standardized format and automatically bound to index items in the specification clauses, providing a precise input foundation for the tensor construction process, avoiding human matching errors, and ensuring algorithm stability and engineering adaptability.

[0049] Build a multi-level cable design specification library, covering national standards, industry specifications and internal corporate rules, and use rule engine technology to automatically compare design parameters such as cable model, current carrying capacity, voltage rating and laying method. By establishing a mathematical connection between each design parameter in the specification and the corresponding constraint conditions and context environment, a multi-level specification tensor is constructed to express the dislocation, interaction and constraint relationship between cable design parameters in 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, so that specifications from different sources can be compared and analyzed under the same framework. Each dimension and coefficient of the tensor reflects the interaction and influence of the current specification in the three dimensions of parameters, constraints, and environment. The construction formula of the specification tensor is as follows:

[0050] ;

[0051] in, It is a three-dimensional specification tensor that represents the interaction strength between 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 standards, industry standards, enterprise standards, etc.), and k represents the ordinal number of contextual environmental factors (such as temperature, laying method, etc.); The specification importance coefficient of the i-th design parameter in the n-th level specification reflects the control intensity of the i-th design parameter in the standard. It can be obtained by counting the frequency of the current parameter in the standard and normalizing it. The absolute control weight of the jth constraint rule in the nth level specification is assigned by experts or calculated by weighting the complexity of the standard clauses (such as formula length and number of constraints); is the kth context adaptation factor in the nth layer specification, indicating the degree of influence of the environment on the effectiveness of the design parameters. Its value range is [0,1] and can be fitted by the historical project environment adaptation coefficient. It represents the misalignment sensitivity between the i-th design parameter and the j-th constraint rule, reflecting the degree of disturbance caused by inconsistent definitions under different specification versions. It is obtained by analyzing the similarity of the version texts and multiplying it by the difference symbol matrix. is the fusion weight of the n-th layer of specifications, with national standards having the largest weight, followed by industry standards, and enterprise standards having the smallest weight.

[0052] Different code 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 code tensor to indicate the degree to which the design parameters under specific constraints do not comply with the code. The constraint function accurately quantifies the impact of constraints in different levels of code on the design scheme by including multiple factors such as cable parameters, code control weights, and code error sensitivity.

[0053] 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 characterizes 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:

[0054] ;

[0055] in, It is The gauge constraint function is used to describe the relationship between the design parameter vector P and the gauge tensor Under the normative constraints Compliance impact on design parameters; Used to describe the impact 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 impact of the constraint rule on the nonlinear relationship between design parameters. Its empirical value can be obtained by performing eigenvalue processing on the covariance matrix of the project history sample parameters using 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 bound of the target value constrained by the specification is directly derived from the specification limit or engineering experience value.

[0056] S2. Define the interference function to quantify the degree of conflict between any two specification constraints in the cable design parameter space. Use the interference function gradient field 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.

[0057] In order to accurately quantify the degree of conflict between any two specification constraints in the cable design parameter space, it is necessary to define an interference function that reflects the strength of the difference between the constraint functions. The squared integral of the difference between the two specification constraints in the entire design parameter space is calculated and normalized by the product of their gradient moduli to reflect the numerical deviation and structural similarity between the specification constraints.

[0058] Specifically, the numerator captures the squared difference in 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 within the entire design domain; while the denominator calculates the first-order gradient norm modulus product of the two constraint functions, which is used to measure the difference in sensitivity to change trends. The interference function comprehensively reflects whether the two constraints overlap in spatial structure, whether the function values ​​converge, and whether the change responses are consistent. The formula is as follows:

[0059] ;

[0060] in, It is Article 100 and the qth normative constraint The conflict measure on the design parameter space P, i.e., the degree of interference between 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 Represents specification constraints and regulatory constraints The gradient in the design parameter space represents the sensitivity of the fine-tuning of the design parameters to the specification values; In order to prevent the denominator from being zero, which may cause numerical instability, it is usually taken as 10 -6 Interference function The partial differentials of the various design parameters form the interferometer function gradient field .

[0061] The gradient field of the interference function 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 the current state is transferred to the next state. The design cost function consists of two parts: the first part represents the interference increment caused by the design parameter adjustment, which reflects the conflict changes between different constraints in the design space; the second part is the physical distance measurement between the design parameters, which is used to control the smoothness of the design parameter adjustment to avoid excessive adjustment amplitude leading to design instability. The cost function combines the requirements of conflict increase and adjustment smoothness to derive the cost of each path conversion. The path cost function is constructed as follows:

[0062] ;

[0063] in, is the status To status The total cost, including conflict cost and 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; Indicates from arrive The square of the Euclidean distance of the design parameters, that is, the total variation between the design parameters.

[0064] The path with the smallest 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:

[0065] ;

[0066] in, is the optimal design adjustment path, that is, among all possible adjustment paths, which path has the smallest total cost (that is, the sum of the costs of all design adjustments) and represents the best adjustment sequence 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 (that is, the total number of time steps).

[0067] 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 adjusted interference. By minimizing the objective function, the optimal adjustment mapping is ensured, thereby achieving compliance optimization of the cable design. The objective function is constructed as follows:

[0068] ;

[0069] ;

[0070] in, is the objective function, which is used to calculate the overall cost of design parameter adjustment. The purpose is to measure the Adjusting paths relative to optimal design Deviations and conflicts, is an optional adjustment path, which represents the adjustment path from the initial design to the optimized design; is the optimal adjustment function, which represents the optimal design parameter adjustment scheme found through the mapping optimization process; is the adjusted design parameter adjustment path The parameter vector at time step t, i.e. the optimal design adjustment path The adjusted design parameters are obtained through optimization algorithms (such as path search optimization or regulation algorithms); is the path fidelity weight coefficient, which controls the stability of path adjustment; is the conflict suppression weight coefficient, which controls the reduction of specification conflicts during the adjustment process (i.e., reducing 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; It represents the square of the Euclidean distance between the adjusted path and the optimal design adjusted path, which is used to measure the difference between the two. The goal is to minimize the deviation of path adjustment; The intensity of the code conflict after adjustment is quantified, and the compliance of the adjusted design parameters with the code is evaluated using the interference function.

[0071] Adjust the optimal design parameters Applied to various relevant parameters of cable design, such as cable model, voltage level, current carrying capacity, laying method, etc., fine-tuning is performed according to the optimization suggestions to ensure effective constraints and verification under various levels of specifications (national, industry, and enterprise standards) and compliance with various regulatory requirements.

[0072] In summary, a cable design verification method and system based on multi-specification fusion has been completed.

[0073] The order in which the embodiments of the invention are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0074] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

[0075] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the scope of protection of the present invention.

Claims

1. A cable design verification method based on multi-standard fusion, characterized in that: Including steps: S1. Build a multi-level cable design specification library, obtain specification tensors through structured modeling, combine design parameters with specification tensors, construct constraint functions, and quantify the cross-influence between multi-level and multi-source specifications; The construction formula of the canonical tensor is as follows: ； in, It is a three-dimensional specification tensor that represents the interaction strength between cable design parameters, specification sources, and constraints. Each dimension corresponds to a different attribute: i represents the ordinal number of the cable design parameter, j represents the ordinal number of the specification constraint rule for parameter i, and k represents the ordinal number of the contextual environment factor. The specification importance coefficient of the i-th design parameter in the n-th level specification reflects the control intensity of the i-th design parameter in the standard. It can be obtained by counting the frequency of the current parameter in the standard and normalizing it. The absolute control weight of the jth constraint rule in the nth level specification is assigned by experts or calculated by weighting the complexity of standard clauses; is the kth context adaptation factor in the nth layer specification, indicating the degree of influence of the environment on the effectiveness of the design parameters. Its value range is [0,1] and can be fitted by the historical project environment adaptation coefficient. It represents the misalignment sensitivity between the i-th design parameter and the j-th constraint rule, reflecting the degree of disturbance caused by inconsistent definitions under different specification versions. It is obtained by analyzing the similarity of the version texts and multiplying it by the difference symbol matrix. is the fusion weight of the n-th layer of standards, with national standards being the largest, followed by industry standards, and enterprise standards being the smallest; Different specification constraints are converted into mathematical expressions and applied to the design parameter space to construct a multidimensional constraint function, which is mathematically expressed as follows: ； in, It is The gauge constraint function is used to describe the gauge constraint under the design parameter vector P and the gauge tensor M. Compliance impact on design parameters; Used to describe the impact 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 impact of the constraint rule on the nonlinear relationship between design parameters. Its empirical value can be obtained by performing eigenvalue processing on the covariance matrix of the project history sample parameters using 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 bound of the target value constrained by the specification is directly derived from the specification limit or engineering experience value; S2. Define the interference function to quantify the degree of conflict between any two specification constraints in the cable design parameter space. Use the interference function gradient field 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.

2. A cable design verification method based on multi-standard fusion according to claim 1, characterized in that: In S2, an interference function is defined to reflect the strength of the difference in constraint functions, reflecting the numerical deviation and structural similarity between the specification constraints. The formula is as follows: ； in, It is Article 100 and the qth normative constraint The conflict measure on the design parameter space P, i.e., the degree of interference between 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 Represents specification constraints and regulatory constraints The gradient in the design parameter space represents the sensitivity of the fine-tuning of the design parameters to the specification values; In order to prevent the denominator from being zero, which may cause numerical instability, it is usually taken as 10 -6 .

3. A cable design verification method based on multi-standard fusion according to claim 1, characterized in that: In S2, the cost generated each time the current state is transferred to the next state is calculated, and a cost function is designed. The path cost function is constructed as follows: ； in, is the status To status The total cost, including conflict cost and 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; Indicates from arrive The square of the Euclidean distance of the design parameters, that is, the total variation between the design parameters.

4. A cable design verification method based on multi-standard fusion according to claim 1, characterized in that: In S2, a mapping optimization objective function is established, and the optimal design parameters are selected to fine-tune the mapping to obtain the optimal adjustment mapping. The formula is as follows: ； ； in, is the objective function, which is used to calculate the overall cost of design parameter adjustment. The purpose is to measure the Adjusting paths relative to optimal design Deviations and conflicts, is an optional adjustment path, which represents the adjustment path from the initial design to the optimized design; is the optimal adjustment function, which represents the optimal design parameter adjustment scheme found through the mapping optimization process; is the adjusted design parameter adjustment path The parameter vector at time step t, i.e. the optimal design adjustment path The adjusted design parameters are 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 of regulatory conflicts 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; It represents the square of the Euclidean distance between the adjusted path and the optimal design adjusted path, which is used to measure the difference between the two. The goal is to minimize the deviation of path adjustment; The intensity of the code conflict after adjustment is quantified, and the compliance of the adjusted design parameters with the code is evaluated using the interference function.

5. A cable design verification system based on multi-standard fusion, applied to the cable design verification method based on multi-standard fusion as claimed in claim 1, characterized in that: include: Design parameter acquisition and mapping module, multi-level specification library construction module, specification constraint calculation module, interference calculation module, path optimization module, adjustment mapping module; The design parameter collection and mapping module is responsible for importing cable design parameters from the design platform through an interface. It supports manual input or batch import of Excel / CSV format data. All collected parameters will be mapped into parameter vectors according to 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 building a multi-level cable design specification library, covering national standards, industry specifications and internal enterprise rules. Through rule engine technology, it automatically compares design parameters with the constraints and context in each level of specifications, generates a multi-dimensional specification tensor, and passes the constructed specification tensor to the specification constraint calculation module. The specification constraint calculation module combines design parameters with specification tensors and converts them into multi-dimensional constraint functions. By calculating the impact between design parameters and various constraint rules, it quantifies the impact of different levels of specifications on the compliance of cable design solutions. The output constraint function will be passed to the interference calculation module; The interference calculation module calculates the conflict metric of different specification constraints in the cable design parameter space, measures the difference strength between the constraints, evaluates the degree of overlap of different specification constraints in the design parameter space, and quantifies the interference between the specifications through gradient norm normalization. The output interference function will be passed to the path optimization module; The path optimization module performs path search based on the interference calculation results to determine the best path for adjusting the design parameters. By calculating the cost generated each time the current state is transferred to the next state, the adjustment path of the cable design parameters is optimized to ensure that the cost of each adjustment is minimized. The generated optimal path will be passed to the adjustment mapping module. The mapping adjustment module establishes a mapping optimization objective function based on the optimal path optimization results, selects the optimal design parameter fine-tuning scheme, calculates the overall cost of design parameter adjustment, comprehensively considers the stability of path adjustment and the reduction of specification conflicts, and ultimately obtains the optimal adjustment scheme to ensure that the design scheme meets all specification requirements.

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