An intelligent miniaturized switch cabinet cable lightweight evaluation method, device, equipment and medium
By acquiring cable configuration data and calculating spatial and thermal field distribution, and combining the cable simplification ratio for evaluation, the problems of inaccurate evaluation and lack of risk in the lightweight design of cables for intelligent miniaturized switchgear are solved, achieving a safe and reliable lightweight effect.
Patent Information
- Application Number
- CN202511432388.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-09
- Publication Date
- 2025-11-28
- Estimated Expiration
- 2045-10-09
AI Technical Summary
Existing technologies lack a comprehensive assessment of cable quantity, cross-sectional utilization, and layout redundancy in the lightweight design of intelligent miniaturized switchgear cables. This results in inaccurate assessments and a lack of risk identification and optimization guidance, making it difficult to achieve effective lightweighting goals.
By acquiring cable configuration data, calculating space occupancy and thermal field distribution, integrating spatial and thermodynamic parameters for comprehensive evaluation, and dynamically adjusting the lightweight scheme, a closed-loop optimization mechanism is established.
It enables quantitative analysis of the lightweighting results, ensuring the operational safety and reliability of the switchgear after lightweighting, providing closed-loop optimization methods, and solving the problems of inaccurate assessment and lack of risk assessment.
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Figure CN120893236B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of cable lightweight technology, more particularly, the present application relates to a kind of intelligent miniaturized switch cabinet cable lightweight evaluation method and device, equipment and medium. BACKGROUND
[0002] Intelligent miniaturized switch cabinet is widely used in new energy access, city network reconstruction and high-density industrial park power distribution system. With the increasing integration of internal equipment of switch cabinet, the number of cable arrangement increases significantly, and the problem of redundant wiring and cross-section load distribution in limited space is increasingly prominent. In order to ensure the safety and reliability of system operation, while meeting the requirements of compact size and lightweight structure, it is urgent to establish an evaluation method that can consider space constraints and cable operating state, to provide support for cable optimization arrangement and lightweight design.
[0003] In view of the above needs, existing lightweight schemes mostly start from physical lightweight measures of cable, such as reducing the number of cables used, using multi-core integration or bus transmission mode to replace part of the independent cable; using cable bundling and bundled arrangement to reduce space occupation; and selecting lightweight conductor materials or optimizing insulation layer structure to reduce the overall weight of cable. Such schemes can alleviate the problems of space shortage and excessive weight of switch cabinet to a certain extent, and play a role in reducing the number of cables and material consumption, thereby achieving the initial lightweight goal.
[0004] However, the existing scheme still has deficiencies in the pertinence of cable lightweight design. The evaluation process mostly focuses on safety judgment, lacks comprehensive measurement of the relationship between cable number occupation, cross-section utilization rate and arrangement redundancy, and cannot accurately reveal the specific influence of cable layout and space utilization rate on lightweight goal. In addition, the scheme lacks optimization guidance for lightweight direction after risk identification, and it is difficult to form an evaluation closed loop for cable reduction and layout simplification, resulting in obvious limitations in supporting the lightweight design of intelligent miniaturized switch cabinet cable.
[0005] In view of the above problems, the present application provides a solution. SUMMARY
[0006] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present application provide an intelligent miniaturized switch cabinet cable lightweight evaluation method and device, which analyzes cable configuration data, calculates space and thermodynamic parameters, and dynamically evaluates and adjusts the effect of lightweight scheme in combination with cable simplification ratio, to solve the problems of inaccurate lightweight effect evaluation and lack of risk control for small switch cabinet.
[0007] To achieve the above purpose, the present application provides the following technical solutions:
[0008] The application discloses a kind of intelligent miniaturization switch cabinet cable lightweight evaluation method, comprising the following steps: obtaining the cable configuration data of lightweight switch cabinet, the cable configuration data includes the cable type and quantity of each communication port;Based on cable configuration data, the space occupation degree and operating thermal field distribution of switch cabinet are calculated in parallel, to obtain space parameters and thermodynamic parameters;Fusion space parameters and thermodynamic parameters, comprehensive evaluation is carried out to lightweight scheme and evaluation results are generated;According to the evaluation results, dynamically feedback and adjust the design parameters of lightweight scheme.
[0009] In a preferred embodiment, the evaluation includes: spatial coupling effect evaluation, thermal effect mutual influence evaluation, redundancy reliability evaluation.
[0010] In a preferred embodiment, the method for obtaining cable configuration data is: analyzing the input cable lightweight scheme, obtaining the electrical connection relationship between each communication port;Based on the electrical connection relationship, according to the correspondence between the predefined port attribute and the cable type, automatically identify and output the cable type information required by each port;According to the electrical connection relationship, the number of each type of cable is calculated;Integrate cable type information and cable quantity to generate standardized cable configuration data.
[0011] In a preferred embodiment, based on cable configuration data, the space occupation degree and operating thermal field distribution of switch cabinet are calculated in parallel to obtain space parameters and thermodynamic parameters, which is: based on cable configuration data, generate space grid data representing the geometric layout and size of the cable in the cabinet;According to space grid data, calculate the heat source distribution data of cable;According to the heat source distribution data, the thermal field distribution data of the switch cabinet inside is obtained by fluid and heat transfer coupling simulation;Based on space grid data, three-dimensional space volume aggregation calculation is carried out to obtain space parameters;Extract key temperature indicators and heat distribution indicators from thermal field distribution data to obtain thermodynamic parameters.
[0012] In a preferred embodiment, according to space grid data, the heat source distribution data of cable is calculated, including: based on the electrical parameters of cable, the heat power of unit length cable is calculated;Map heat power to space unit to form a discrete heat source matrix with spatial distribution;According to the spatial relative position of cable, the local heat source intensity of adjacent cable unit in discrete heat source matrix is corrected by aggregation effect.
[0013] In a preferred embodiment, the fusion space parameter and the thermodynamic parameter are integrated to comprehensively evaluate the lightweight scheme and generate an evaluation result, including: constructing a multi-dimensional performance evaluation function of the fusion thermodynamic parameter; the thermodynamic parameter includes space utilization efficiency, thermal safety performance and lightweight degree; applying the evaluation function to calculate the performance evaluation value of the lightweight scheme; determining the performance level of the scheme according to the performance evaluation value, and outputting the comprehensive evaluation result including the level and key indicators.
[0014] In a preferred embodiment, the dynamic feedback and adjustment of the design parameters of the lightweight scheme according to the evaluation result includes: identifying the cable section exceeding the preset safety threshold based on the evaluation result to generate a key cable section list; performing redundancy calculation on each key cable section by using the key cable section list in combination with the current load parameter in the cable configuration data to obtain a cable redundancy configuration adjustment amount; modifying the cable quantity and layout in the original lightweight scheme according to the cable redundancy configuration adjustment amount to generate an adjusted cable lightweight scheme; and updating the cable configuration data based on the adjusted cable lightweight scheme.
[0015] An intelligent small-sized switch cabinet cable lightweight evaluation device, including a configuration analysis module, a parallel computing module, a comprehensive evaluation module and a dynamic adjustment module; a configuration acquisition module is used to acquire cable configuration data of a lightweight switch cabinet, and the cable configuration data includes cable types and quantities of each communication port; the parallel computing module is used to parallelly calculate the space occupation degree and the operating thermal field distribution of the switch cabinet based on the cable configuration data to obtain space parameters and thermodynamic parameters; the comprehensive evaluation module is used to fuse the space parameters and the thermodynamic parameters to comprehensively evaluate a lightweight scheme and generate an evaluation result; and the dynamic adjustment module is used to dynamically feedback and adjust design parameters of the lightweight scheme according to the evaluation result.
[0016] An electronic device, including: at least one processor; and a memory connected with the at least one processor in communication; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the intelligent small-sized switch cabinet cable lightweight evaluation method.
[0017] A computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the intelligent small-sized switch cabinet cable lightweight evaluation method.
[0018] The intelligent small-sized switch cabinet cable lightweight evaluation method, device, equipment and medium have the following technical effects and advantages:
[0019] The application calculates the space occupation degree and thermal field distribution based on the cable configuration data, generates the space and thermodynamic parameters, and evaluates the lightweight scheme in combination with the cable simplification ratio, so as to realize the quantitative analysis of the lightweight result in the space, thermal safety and redundancy reliability, and dynamically adjust the lightweight scheme according to the evaluation result, so as to ensure the operation safety and reliability of the switch cabinet after lightweight, and help to establish a closed-loop optimization mechanism, and effectively solve the problem that there is no special quantitative evaluation method for the operation risk of the switch cabinet caused by the lightweight layout. BRIEF DESCRIPTION OF DRAWINGS
[0020] Figure 1 A flowchart of a smart miniaturized switch cabinet cable lightweight evaluation method is provided for the embodiments of the application.
[0021] Figure 2 A module structure diagram of a smart miniaturized switch cabinet cable lightweight evaluation device is provided for the embodiments of the application.
[0022] Figure 3 A structure diagram of a smart miniaturized switch cabinet cable lightweight evaluation electronic equipment is provided for the embodiments of the application.
[0023] Figure 4 A medium structure diagram of a smart miniaturized switch cabinet cable lightweight evaluation is provided for the embodiments of the application. DETAILED DESCRIPTION
[0024] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the application.
[0025] Embodiment 1, Figure 1 A smart miniaturized switch cabinet cable lightweight evaluation method is provided in the application, which includes the following steps:
[0026] S1, obtaining cable configuration data of the switch cabinet after lightweight, the cable configuration data including cable types and quantities of each communication port;
[0027] S2, based on the cable configuration data, calculating the space occupation degree and the operating thermal field distribution of the switch cabinet in parallel, obtaining the space parameters and the thermodynamic parameters;
[0028] S3, fusing the space parameters and the thermodynamic parameters, comprehensively evaluating the lightweight scheme and generating the evaluation result;
[0029] S4, dynamically feedback and adjust the design parameters of the light-weight scheme according to the evaluation result.
[0030] The embodiment realizes quantitative analysis of the light-weight result in space, thermal safety and redundancy reliability by analyzing the input cable light-weight scheme, calculating the space occupation degree and thermal field distribution based on the cable configuration data, and generating space and thermodynamic parameters, and combining the cable simplification ratio to evaluate the effect of the light-weight scheme; further, the light-weight scheme can be dynamically adjusted according to the evaluation result to ensure the operation safety and reliability of the switch cabinet after light-weight; in the above manner, a closed-loop optimization mechanism can be established to effectively solve the problem that there is a lack of special quantitative evaluation means for the operation risk of the switch cabinet caused by light-weight layout.
[0031] S1, obtaining cable configuration data of the light-weight switch cabinet, the cable configuration data including cable types and quantities of each communication port, and the step specifically comprising:
[0032] Based on the input cable light-weight scheme, the electrical connection relationship between the communication ports is analyzed to obtain the electrical connection relationship between the communication ports; the communication port cable type is identified through the electrical connection relationship to obtain the cable type information, and the cable quantity of the communication port is counted; the cable type information and the cable quantity are integrated to generate the cable configuration data.
[0033] In the embodiment, the cable light-weight scheme specifically comprises:
[0034] A wiring design scheme for reducing the number and weight of physical cables by reducing redundant cables, using composite cables or bus communication mode; the scheme includes electrical connection topology, port signal type, communication bandwidth requirement, estimated transmission distance and redundancy configuration requirement information.
[0035] In the embodiment, the analysis of the electrical connection relationship comprises:
[0036] The port connection table in the input cable light-weight scheme is analyzed to establish the correspondence between the ports; based on the connection relationship, a logical connection diagram between the ports is generated, and the connection attributes are marked, including signal direction, protocol type, transmission rate and length requirement; the analysis result is subjected to consistency check to determine whether there are isolated ports, repeated connections and protocol conflicts, and the checked electrical connection relationship is output.
[0037] In the embodiment, the electrical connection relationship between the communication ports comprises:
[0038] Port identification information for uniquely identifying the communication port of the internal or external equipment of the switch cabinet;
[0039] Connection relationship information, used to represent the direct electrical connection between two ports, including point-to-point connection or bus type connection;
[0040] Signal attribute information, used to describe the signal type carried by the connection, including communication protocol, bandwidth level, transmission mode and shielding requirement;
[0041] Path parameter information, used to mark the estimated length, laying path and environmental constraint conditions of the cable.
[0042] In this embodiment, the identification of the cable type of the communication port includes: extracting key features for determining the cable type according to the electrical connection relationship between the ports, including interface form, signal protocol, transmission rate and path length; mapping different features to corresponding cable types based on a preset cable selection rule, for example: Ethernet signal corresponds to twisted pair or optical fiber, analog signal corresponds to shielded twisted pair, and optical fiber corresponds to high-speed signal exceeding the transmission distance limit; for cases that cannot be directly determined, the matching degrees of different cable types are calculated based on a feature matching model, and the cable type with the highest probability is selected as the identification result; the identified cable type information is bound to the corresponding port, and the number of each type of cable is counted.
[0043] In this embodiment, the integration of the cable type information and the cable number to generate the cable configuration data includes: summarizing the identified cable type and the statistical result to generate a configuration list containing the cable type, physical quantity, channel number and length estimation; combining the unit weight and cost parameters of the cable to calculate the total weight and total cost of each type of cable, and normalizing the configuration data; structuring the cable configuration data output to form a cable configuration file for wiring design and bill of materials generation; performing redundancy check on the key link configuration to mark whether it meets the reliability requirements under the lightweight scheme, and outputting the final cable configuration data result.
[0044] In this embodiment, the formula for identifying the cable type of the communication port is:
[0045]
[0046] In the formula, represents the selected cable type of the kth connection, represents the candidate set of cable types, represents the cost of cable type t, represents the weight of cable type t, represents the delay index of cable type t, , , is a weight coefficient.
[0047] In this embodiment, the formula for counting the number of communication port cables is:
[0048]
[0049] In the formula, Nt represents the total number of cables of type t, N represents the total number of connections, I is an indicator function, Rk represents the redundancy coefficient of the kth connection.
[0050] It should be noted that the cable lightweighting scheme refers to an optimization design strategy targeting at reducing the number and weight of cables, including constraint conditions and design objectives.
[0051] S2, based on the cable configuration data, parallelly calculates the space occupation degree and the operating thermal field distribution of the switch cabinet, to obtain the space parameters and the thermodynamic parameters. This step specifically includes:
[0052] Based on the cable configuration data, the geometric layout and physical size of the cables in the cabinet are discretely processed to obtain space grid data. The heat source distribution data is obtained by calculating the heat source distribution of the space grid data. The air flow field and temperature field inside the switch cabinet are coupled and iteratively simulated according to the heat source distribution data to obtain a thermal field state set. Based on the space grid data, three-dimensional space volume aggregation calculation is performed to obtain space parameters. Key temperature indicators and heat distribution indicators in the thermal field state set are extracted to obtain thermodynamic parameters.
[0053] In this embodiment, the discretization processing of the geometric layout and physical size of the cables in the cabinet includes:
[0054] The cable diameter, length, layout coordinates and other parameters in the cable configuration data are input into the space modeling module. The entire internal space of the switch cabinet is discretized into space units by using a three-dimensional grid division method. The geometric characteristics of the cables in each space unit are marked, including the cable cross-sectional area, the cladding thickness and the adjacent cable spacing.
[0055] In this embodiment, the heat source distribution calculation of the space grid data to obtain the heat source distribution data includes: based on the rated current and resistance parameters of the cables, the heat generation power of the unit length cable is calculated; the heat generation power is mapped to the space unit to form a discrete heat source matrix with spatial distribution; the local heat source intensity is corrected by considering the aggregation effect of the adjacent arrangement of multiple cables.
[0056] In this embodiment, the coupled iterative simulation of the air flow field and the temperature field inside the switch cabinet specifically includes: establishing the air flow control equation and the heat conduction equation; calculating the interaction of air convection heat transfer and cable heat conduction respectively; solving the coupling results of the temperature field and the flow field to form a thermal field state set.
[0057] In the embodiment, the three-dimensional space volume aggregation calculation comprises: calculating the volume of the unit occupied by all cables, and performing ratio operation on the total volume of the switch cabinet; and obtaining the proportion of the cables in the cabinet.
[0058] In the embodiment, the extraction of the key temperature index and the heat distribution index in the thermal field state set, and the obtaining of the thermodynamic parameter comprises: calculating the maximum surface temperature of the cable, the average temperature rise, and the proportion of local overheating area; and calculating a local overheating risk index based on the maximum surface temperature of the cable, the average temperature rise, and the proportion of local overheating area.
[0059] In the embodiment, the formula for calculating the heat generation power of the unit length cable is:
[0060]
[0061] In the formula, represents the heat generation power of the i-th cable, represents the working current of the i-th cable, represents the resistance per unit length, represents the cable length.
[0062] In the embodiment, the formula for forming the discrete heat source matrix of the spatial distribution is:
[0063]
[0064] In the formula, represents the heat source intensity of the spatial unit i, j, k, represents the cable set falling into the unit i, j, k, represents the heat generation power of the unit length cable.
[0065] In the embodiment, the formula for superimposing and correcting the local heat source intensity considering the aggregation effect of the adjacent arrangement of multiple cables is:
[0066]
[0067] In the formula, represents the corrected unit heat source intensity, represents the aggregation correction coefficient, represents the number of cables in the unit i, j, k, represents the maximum number of cables that can be accommodated in the unit.
[0068] In the embodiment, the formula of the air flow control equation and the heat conduction equation is:
[0069]
[0070]
[0071] wherein, is the air density, is the air flow velocity vector, is the air specific heat capacity, is the temperature field, is the air thermal conductivity.
[0072] In this embodiment, the formula of the interaction between the air convection heat transfer and the cable thermal conduction is:
[0073]
[0074]
[0075] wherein, is the air convection heat transfer, is the convection heat transfer coefficient, is the cable surface area, is the cable surface temperature, is the air temperature, is the cable thermal conduction, is the cable material thermal conductivity, is the cable cross-sectional area, is the cable insulation layer thickness, is the cable core temperature.
[0076] In this embodiment, the space parameter includes the space occupancy rate.
[0077] In this embodiment, the formula of the three-dimensional space volume aggregation calculation is:
[0078]
[0079] wherein, is the space occupancy rate, is the volume occupied by the i-th cable, is the number of cables, is the total volume of the switch cabinet.
[0080] In this embodiment, the formula of calculating the cable surface maximum temperature, average temperature rise, and local overheating area proportion is:
[0081]
[0082]
[0083]
[0084] wherein, is the cable surface maximum temperature, is the average temperature rise, is the surface temperature of the i-th cable, is an air temperature, is a local overheating area proportion, is an overheating area volume, is a total volume of the switch cabinet.
[0085] In this embodiment, the formula for calculating the local overheating risk index is:
[0086]
[0087] In the formula, is a local overheating risk index, , , is a preset weighting coefficient, is a maximum allowable operating temperature of the cable, is a reference average temperature rise threshold.
[0088] It should be noted that the thermodynamic interaction refers to the heat exchange and influence between cables through heat conduction, convection and radiation; the current load refers to the current size through the cable conductor per unit time, which is the main determining factor of the heating power; the mutual influence refers to the interaction between multiple cables due to close arrangement through electromagnetic or thermal field; the electro-thermal coupling effect refers to the two-way physical process that heat is generated when current flows through the conductor, and temperature change in turn affects the resistance and current carrying capacity of the conductor; and the heat accumulation in the local area refers to the phenomenon that heat energy is concentrated and temperature is raised in the area due to close arrangement of multiple heat sources or poor heat dissipation.
[0089] S3, the space parameter and the thermodynamic parameter are fused, the lightweight scheme is comprehensively evaluated, and an evaluation result is generated. Specifically, a multi-dimensional performance evaluation function of the lightweight scheme is established; the space utilization efficiency index, the thermal safety index and the lightweight degree index are calculated by using the multi-dimensional performance evaluation function, to obtain a lightweight scheme performance evaluation value; the effect of the lightweight scheme is graded according to the performance evaluation value, and an evaluation result containing the performance grade and the key index is generated.
[0090] In this embodiment, the formula of the multi-dimensional performance evaluation function is:
[0091]
[0092] In the formula, is a lightweight scheme performance evaluation value, , , are respectively values of the space utilization efficiency index, the thermal safety index and the lightweight degree index after normalization mapping, is an index weight, is a small positive number to prevent the logarithmic singularity, , is a thermal risk penalty coefficient and a nonlinear power, is a thermal risk index, is a thermal risk allowable threshold.
[0093] In this embodiment, the multi-dimensional performance evaluation function is used to calculate the space utilization efficiency index, the thermal safety index and the lightweight degree index to obtain the lightweight scheme performance evaluation value, specifically:
[0094]
[0095]
[0096]
[0097] In the formula, is a space utilization efficiency index, is a lightweight degree index, , are the baseline and current space occupancy rates, respectively, , are the baseline and current total cable weights, respectively, , are the steepness and midpoint parameters of the mapping function.
[0098] In this embodiment, the performance evaluation value is used to grade the lightweight scheme effect, and the formula for generating the performance level and key index evaluation result is:
[0099]
[0100] In the formula, is the confidence of being divided into level g, is the final selected performance level, is the center threshold of level g, is a softening bandwidth parameter.
[0101] It should be noted that the multi-dimensional performance evaluation function refers to a mathematical function for comprehensively evaluating the performance of the lightweight scheme, and the input includes space, thermodynamics and lightweight degree.
[0102] S4, dynamically feedback and adjust the design parameters of the lightweight scheme according to the evaluation results, specifically: identifying the cable sections exceeding the preset safety range based on the evaluation results to generate a list of key cable sections; performing redundancy calculation on each key cable section by using the list of key cable sections in combination with the current load parameter in the cable configuration data to obtain a cable redundancy configuration adjustment amount; correcting the number and layout of cables in the original lightweight scheme according to the cable redundancy configuration adjustment amount to generate an adjusted cable lightweight scheme; and updating the cable configuration data based on the adjusted cable lightweight scheme.
[0103] In the embodiment, the formula for identifying the cable sections exceeding the preset safety range is:
[0104]
[0105] wherein, is the hazard score of the i-th cable, is the length of the cable i, is the surface temperature of the cable i at the arc length position s, is the material insulation allowable temperature, is the normalized temperature difference reference, , are the actual current carrying capacity and the rated current carrying capacity of the cable i, respectively, , is the current carrying weight coefficient.
[0106] In the embodiment, the redundancy calculation on each key cable section to obtain the cable redundancy configuration adjustment amount is specifically:
[0107]
[0108] wherein, is the redundancy configuration adjustment amount of the key cable section, is the actual current load parameter, is the safe carrying current of a single cable, is the number of cables in the existing lightweight scheme.
[0109] In the embodiment, the correction processing on the number and layout of cables in the original lightweight scheme is specifically:
[0110]
[0111] wherein, is the number of cables of the adjusted key cable section.
[0112] It should be noted that the key cable segment list refers to a set of cable segments identified in the evaluation as having excessively high temperatures or unreasonable layouts; the redundancy calculation pointer refers to the required increased cable quantity and cross-sectional area for re-calculation to ensure the thermal safety of the key cable segment.
[0113] Embodiment 2, Figure 2 The application provides a kind of intelligent miniaturization switch cabinet cable light weight evaluation device, including configuration analysis module, data analysis module and evaluation optimization module, there is connection between module:
[0114] Scene generation module, for obtaining the cable type and quantity of each communication port in light weight switch cabinet, obtains cable configuration data;
[0115] Data analysis module, for using cable configuration data, the space occupation degree and the thermal field distribution in the running of light weight switch cabinet are calculated, and space parameters and thermodynamic parameters are obtained;
[0116] Evaluation optimization module, for combining space parameters and thermodynamic parameters, evaluating light weight scheme effect, generating evaluation result, and dynamically adjusting light weight scheme.
[0117] Embodiment 3, the present embodiment provides a kind of computer electronic equipment, as shown in Figure 3 The electronic equipment includes at least one processor;And the memory is connected with the at least one processor;Wherein, the memory has computer program that can be executed by the at least one processor, the computer program is executed by the at least one processor, to enable the at least one processor to execute the intelligent miniaturization switch cabinet cable light weight evaluation method.
[0118] Embodiment 4, the present embodiment provides a kind of computer readable storage medium, as shown in Figure 4 The computer program is stored on the computer readable storage medium, and the computer program is executed by processor, to realize any one of the embodiments of the present application.
[0119] The above formula is all de-dimensioned to calculate its numerical value, the formula is obtained by collecting a large amount of data to simulate the formula of the nearest real situation, and the preset parameter in the formula is set by the person skilled in the art according to the actual situation.
[0120] The above embodiments can be realized by software, hardware, firmware or any combination thereof, in whole or in part. When realized by software, the above embodiments can be realized in the form of computer program product in whole or in part.
[0121] Those skilled in the art can understand that the modules and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.
[0122] In addition, each functional module in each embodiment of the present application can be integrated in one processing module, or each module can exist physically alone, or two or more modules can be integrated in one module.
[0123] The above is merely specific embodiments of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.
[0124] Finally: the above is only the preferred embodiment of the present application, and is not used to limit the present application, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims
1. A method for evaluating the lightweight design of cables in intelligent miniaturized switchgear, characterized in that, Includes the following steps: Obtain the cable configuration data of the lightweight switchgear, the cable configuration data including the cable type and quantity of each communication port; Based on cable configuration data, the space occupancy and operating thermal field distribution of the switchgear are calculated in parallel to obtain spatial parameters and thermodynamic parameters. By integrating spatial and thermodynamic parameters, a comprehensive evaluation of lightweighting schemes is conducted and evaluation results are generated. Based on the evaluation results, the design parameters of the lightweight solution are dynamically fed back and adjusted.
2. The method for evaluating the lightweight design of cables in intelligent miniaturized switchgear according to claim 1, characterized in that, The assessment includes: spatial coupling effect assessment, thermal effect interaction assessment, and redundancy reliability assessment.
3. The method for evaluating the lightweight design of cables in intelligent miniaturized switchgear according to claim 2, characterized in that, The method for obtaining the cable configuration data is as follows: The input cable lightweighting scheme is analyzed to obtain the electrical connection relationship between each communication port; Based on electrical connection relationships, and according to the predefined correspondence between port attributes and cable types, the system automatically identifies and outputs the cable type information required for each port. The quantity of each type of cable is counted based on the electrical connection relationships described. Integrate cable type information and cable quantity to generate standardized cable configuration data.
4. The method for evaluating the lightweight design of cables in intelligent miniaturized switchgear according to claim 3, characterized in that, Based on cable configuration data, the space occupancy and operating thermal field distribution of the switchgear are calculated in parallel to obtain spatial parameters and thermodynamic parameters, specifically: Based on the cable configuration data, spatial grid data characterizing the geometric layout and dimensions of the cables inside the cabinet is generated; Calculate the heat source distribution data of the cable based on spatial grid data; Based on the heat source distribution data, the thermal field distribution data inside the switch cabinet is obtained through fluid and heat transfer coupling simulation. Based on spatial grid data, three-dimensional spatial volume aggregation calculation is performed to obtain spatial parameters; Key temperature and heat distribution parameters are extracted from the thermal field distribution data to obtain thermodynamic parameters.
5. The method for evaluating the lightweight design of cables in intelligent miniaturized switchgear according to claim 4, characterized in that, The calculation of the cable's heat source distribution data based on spatial grid data includes: Calculate the heat output per unit length of cable based on its electrical parameters; The heat generation power is mapped to spatial units to form a spatially distributed heat dissipation source matrix; Based on the spatial relative position of the cables, the local heat source intensity of adjacent cable units in the heat dissipation source matrix is corrected for the concentration effect.
6. The method for evaluating the lightweight design of cables in intelligent miniaturized switchgear according to claim 5, characterized in that, The fusion of spatial and thermodynamic parameters is used to comprehensively evaluate the lightweight scheme and generate evaluation results, including: A multi-dimensional performance evaluation function integrating thermodynamic parameters is constructed; the thermodynamic parameters include space utilization efficiency, thermal safety performance, and lightweighting degree. The performance evaluation value of the lightweight solution is calculated using the evaluation function described above. The effectiveness level of the plan is determined based on the effectiveness evaluation value, and a comprehensive evaluation result including the level and key indicators is output.
7. The method for evaluating the lightweight design of cables in intelligent miniaturized switchgear according to claim 6, characterized in that, The step of dynamically feeding back and adjusting the design parameters of the lightweight solution based on the evaluation results includes: Based on the assessment results, identify cable segments that exceed the preset safety threshold and generate a list of critical cable segments; Using the list of critical cable segments and the current load parameters in the cable configuration data, redundancy calculations are performed on each critical cable segment to obtain the cable redundancy configuration adjustment amount. Based on the cable redundancy configuration adjustment, the cable quantity and layout in the original lightweighting scheme are modified to generate the adjusted cable lightweighting scheme. Based on the adjusted cable lightweighting scheme, update the cable configuration data.
8. An apparatus using the lightweight evaluation method for intelligent miniaturized switchgear cables as described in any one of claims 1-7, characterized in that, It includes a configuration acquisition module, a parallel computing module, a comprehensive evaluation module, and a dynamic adjustment module; The configuration acquisition module is used to acquire the cable configuration data of the lightweight switchgear, which includes the cable type and quantity of each communication port; The parallel computing module is used to calculate the space occupancy and operating thermal field distribution of the switchgear based on cable configuration data, and obtain spatial parameters and thermodynamic parameters. The comprehensive evaluation module is used to integrate spatial parameters and thermodynamic parameters to comprehensively evaluate lightweight solutions and generate evaluation results; The dynamic adjustment module is used to dynamically provide feedback and adjust the design parameters of the lightweight solution based on the evaluation results.
9. An electronic device, characterized in that, The electronic device includes: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the intelligent miniaturized switchgear cable lightweight evaluation method as described in any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the intelligent miniaturized switchgear cable lightweight evaluation method as described in any one of claims 1 to 7.
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