Method and device for determining simulation model of cable joint structure, and computer device

Abstract

The application relates to a simulation model determination method and device of a cable joint structure, computer equipment and a storage medium. The method comprises the following steps: obtaining structure characteristic data of a cable joint and operation information of the cable joint, and calculating a weight value of each structure characteristic data; screening structure characteristic data corresponding to a weight value greater than a weight threshold value as target structure characteristic data, and establishing a cable joint simulation model based on the target structure characteristic data; performing simulation operation processing on the cable joint simulation model to obtain operation information of the cable joint simulation model, and adjusting the weight threshold value and iteratively screening the process until the difference between the cable joint simulation model and the operation information of the cable joint is not greater than a difference threshold value, so that a target cable joint simulation model is obtained. The application can improve the simulation efficiency of the cable joint simulation model.

Description

Technical Field

[0001] This application relates to the field of computer technology, and in particular to a method, apparatus, computer equipment, storage medium, and computer program product for determining a simulation model of a cable joint structure. Background Technology

[0002] In current simulation studies of cable joints, cable joints typically have complex geometries that require detailed mesh generation. Furthermore, cable joints often have numerous boundary conditions, and the handling of these boundary conditions requires consideration of the interactions between multiple physical quantities, leading to increased computational complexity and time consumption. Therefore, improving the simulation accuracy of cable joint structures is a current research focus.

[0003] Currently, the finite element method and other algorithms are commonly used to determine the simulation model of cable joint structure for simulation analysis. However, the structural feature data of the cable joint simulation model obtained by the above algorithms are too detailed, which makes the running speed of the cable joint simulation model very slow, resulting in low simulation efficiency. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for determining the simulation model of cable joint structure in response to the above-mentioned technical problems.

[0005] Firstly, this application provides a method for determining a simulation model of a cable joint structure. The method includes:

[0006] Obtain the structural feature data of the cable joint and the operation information of the cable joint, and calculate the weight value of each structural feature data based on each structural feature data and the cable joint structure weight algorithm;

[0007] Structural feature data corresponding to weight values ​​greater than the weight threshold are selected from the weight values ​​and used as target structural feature data. Based on the target structural feature data, a cable joint simulation model is established.

[0008] The cable joint simulation model is simulated to obtain its running information. If the difference between the running information of the cable joint simulation model and the running information of the cable joint is greater than a difference threshold, the weight threshold is adjusted. The process then returns to the step of using the structural feature data corresponding to the weight values ​​that are greater than the weight threshold as the initial target structural feature data. This process continues until the difference is no greater than the difference threshold. Finally, the cable joint simulation model corresponding to the difference that is no greater than the difference threshold is used as the target cable joint simulation model.

[0009] Optionally, acquiring the structural feature data of the cable joint includes:

[0010] Obtain the structural information of each layer of the cable joint, extract the structural features of the structural information for each layer, and collect the data information of each structural feature to obtain the initial structural feature information of each layer.

[0011] The initial structural feature information is standardized to obtain the structural feature data.

[0012] Optionally, the step of calculating the weight value of each structural feature data based on the structural feature data and the cable joint structure weight algorithm includes:

[0013] Based on the hierarchy of each structural feature data, the structural feature data is classified to obtain the category of each structural feature data, and any one of the categories is selected as the target category.

[0014] Select any one structural feature data from the structural feature data of the target category as the first structural feature data, and select structural feature data with a similar number of units to the first structural feature data from other categories besides the target category as the second structural feature data.

[0015] Based on the first structural feature data, each of the second structural feature data, and the cable joint structure weighting algorithm, calculate the weight value of the first structural feature data and the weight value of each of the second structural feature data;

[0016] In the structural feature data of each category, delete the structural feature data with determined weight values, and return to the step of filtering any one category as the target category in each category until the weight values ​​of all structural feature data of all categories are obtained.

[0017] Optionally, establishing a cable joint simulation model based on the characteristic data of each of the target structures includes:

[0018] Obtain the initial cable joint simulation model and the normal structural feature parameters of the initial cable joint simulation model, and reset all structural feature parameters of the initial cable joint simulation model;

[0019] The target structural feature data of each category is transformed into target structural feature parameters, and the structural feature parameters corresponding to each target structural feature data are queried from all structural feature parameters of the initial cable joint simulation model.

[0020] Replace the target structural feature parameters with the structural feature parameters corresponding to the target structural feature data of each of the target structural feature parameters, and replace all other structural feature parameters except the target structural feature parameters with the normal structural feature parameters corresponding to the other structural feature parameters to obtain the cable joint simulation model.

[0021] Optionally, the operating information includes equivalent resistance and operating speed. The step of performing simulation operation processing on the cable joint simulation model to obtain the operating information of the cable joint simulation model includes:

[0022] Identify the current transmission information corresponding to the operating information of the cable joint, and based on the current transmission information, perform simulation operation processing on the cable joint simulation model to obtain the running time and current transmission results of the cable joint simulation model;

[0023] Based on the running time of the cable joint simulation model, the running speed of the cable joint simulation model is calculated, and based on the current transmission results of the cable joint simulation model, the equivalent resistance of the cable joint simulation model is determined.

[0024] Optionally, if the difference between the running information of the cable joint simulation model and the running information of the cable joint is greater than a difference threshold, the weight threshold is adjusted, and the step of returning to the step of using the structural feature data corresponding to the weight values ​​greater than the weight threshold among the weight values ​​as the initial target structural feature data is repeated until the difference is not greater than the difference threshold. Then, the cable joint simulation model corresponding to the difference not greater than the difference threshold is used as the target cable joint simulation model. This includes:

[0025] Calculate the resistance difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint, and the speed difference between the running speed of the cable joint simulation model and the running speed of the cable joint.

[0026] If the difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint is greater than the resistance difference threshold, or if the difference between the running speed of the cable joint simulation model and the running speed of the cable joint is greater than the speed difference threshold, the weight threshold is reduced, and the step of executing the structural feature data corresponding to the weight value that is greater than the weight threshold among the weight values ​​is returned as the initial target structural feature data.

[0027] If the difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint is less than the resistance difference threshold, and the speed difference between the running speed of the cable joint simulation model and the running speed of the cable joint is less than the speed difference threshold, then the cable joint simulation model shall be used as the target cable joint simulation model.

[0028] Secondly, this application also provides a device for determining a simulation model of a cable joint structure. The device includes:

[0029] The acquisition module is used to acquire the structural feature data of the cable joint and the operation information of the cable joint, and to calculate the weight value of each structural feature data based on the structural feature data and the cable joint structure weight algorithm.

[0030] The filtering module is used to filter the structural feature data corresponding to the weight values ​​that are greater than the weight threshold among the weight values, and use them as target structural feature data. Based on the target structural feature data, a cable joint simulation model is established.

[0031] The simulation module is used to perform simulation operation processing on the cable joint simulation model, obtain the operation information of the cable joint simulation model, and adjust the weight threshold when the difference between the operation information of the cable joint simulation model and the operation information of the cable joint is greater than the difference threshold. Then, it returns to the step of executing the structural feature data corresponding to the weight values ​​that are greater than the weight threshold among the weight values, and using them as the initial target structural feature data, until the difference is not greater than the difference threshold. Finally, the cable joint simulation model corresponding to the difference that is not greater than the difference threshold is used as the target cable joint simulation model.

[0032] Optionally, the acquisition module is specifically used for:

[0033] Obtain the structural information of each layer of the cable joint, extract the structural features of the structural information for each layer, and collect the data information of each structural feature to obtain the initial structural feature information of each layer.

[0034] The initial structural feature information is standardized to obtain the structural feature data.

[0035] Optionally, the acquisition module is specifically used for:

[0036] Based on the hierarchy of each structural feature data, the structural feature data is classified to obtain the category of each structural feature data, and any one of the categories is selected as the target category.

[0037] Select any one structural feature data from the structural feature data of the target category as the first structural feature data, and select structural feature data with a similar number of units to the first structural feature data from other categories besides the target category as the second structural feature data.

[0038] Based on the first structural feature data, each of the second structural feature data, and the cable joint structure weighting algorithm, calculate the weight value of the first structural feature data and the weight value of each of the second structural feature data;

[0039] In the structural feature data of each category, delete the structural feature data with determined weight values, and return to the step of filtering any one category as the target category in each category until the weight values ​​of all structural feature data of all categories are obtained.

[0040] Optionally, the filtering module is specifically used for:

[0041] Obtain the initial cable joint simulation model and the normal structural feature parameters of the initial cable joint simulation model, and reset all structural feature parameters of the initial cable joint simulation model;

[0042] The target structural feature data of each category is transformed into target structural feature parameters, and the structural feature parameters corresponding to each target structural feature data are queried from all structural feature parameters of the initial cable joint simulation model.

[0043] Replace the target structural feature parameters with the structural feature parameters corresponding to the target structural feature data of each of the target structural feature parameters, and replace all other structural feature parameters except the target structural feature parameters with the normal structural feature parameters corresponding to the other structural feature parameters to obtain the cable joint simulation model.

[0044] Optionally, the operating information includes equivalent resistance and operating speed, and the simulation module is specifically used for:

[0045] Identify the current transmission information corresponding to the operating information of the cable joint, and based on the current transmission information, perform simulation operation processing on the cable joint simulation model to obtain the running time and current transmission results of the cable joint simulation model;

[0046] Based on the running time of the cable joint simulation model, the running speed of the cable joint simulation model is calculated, and based on the current transmission results of the cable joint simulation model, the equivalent resistance of the cable joint simulation model is determined.

[0047] Optionally, the simulation module is specifically used for:

[0048] Calculate the resistance difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint, and the speed difference between the running speed of the cable joint simulation model and the running speed of the cable joint.

[0049] If the difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint is greater than the resistance difference threshold, or if the difference between the running speed of the cable joint simulation model and the running speed of the cable joint is greater than the speed difference threshold, the weight threshold is reduced, and the step of executing the structural feature data corresponding to the weight value that is greater than the weight threshold among the weight values ​​is returned as the initial target structural feature data.

[0050] If the difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint is less than the resistance difference threshold, and the speed difference between the running speed of the cable joint simulation model and the running speed of the cable joint is less than the speed difference threshold, then the cable joint simulation model shall be used as the target cable joint simulation model.

[0051] Thirdly, this application provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, characterized in that the processor executes the computer program to implement the steps of the method described in any one of the first aspects.

[0052] Fourthly, this application provides a computer-readable storage medium. The storage medium includes a computer program stored thereon, characterized in that, when executed by a processor, the computer program implements the steps of the method described in any one of the first aspects.

[0053] Fifthly, this application provides a computer program product. The computer program product includes a computer program, characterized in that, when executed by a processor, the computer program implements the steps of the method described in any one of the first aspects.

[0054] The above-mentioned method, apparatus, and computer equipment for determining the simulation model of the cable joint structure acquire structural feature data of the cable joint and its operational information. Based on the structural feature data and the cable joint structure weighting algorithm, a weight value is calculated for each structural feature data. Structural feature data corresponding to weight values ​​greater than a weight threshold are selected as target structural feature data. A cable joint simulation model is established based on the target structural feature data. The simulation model is run to obtain operational information. If the difference between the operational information of the cable joint simulation model and the operational information of the cable joint is greater than a difference threshold, the weight threshold is adjusted. The process of selecting structural feature data corresponding to weight values ​​greater than the weight threshold as initial target structural feature data is repeated until the difference is greater than the difference threshold. Finally, the cable joint simulation model corresponding to the difference greater than the difference threshold is selected as the target cable joint simulation model. By employing a cable joint structure weighting algorithm, the weight values ​​of each structural feature data of the cable joint are calculated. Based on these weight values, target structural feature data are filtered to establish a simulation model of the target cable joint. This simplifies the structural feature data of the target cable joint simulation model. Then, based on the operational information of the cable joint, the simulation model is optimized to ensure its simulation accuracy. Thus, while ensuring simulation accuracy, the structural feature data of the cable joint simulation model are optimized, thereby improving the simulation efficiency of the cable joint simulation model. Attached Figure Description

[0055] Figure 1 This is a flowchart illustrating the method for determining the simulation model of a cable joint structure in one embodiment;

[0056] Figure 2 A flowchart illustrating the process of determining an example of a simulation model for a cable joint structure in one embodiment;

[0057] Figure 3 This is a structural block diagram of a simulation model determination device for a cable joint structure in one embodiment;

[0058] Figure 4 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0059] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0060] The simulation model determination method for cable joint structures provided in this application is mainly applied to the application environment corresponding to the cable joint simulation process. This method can be applied to terminals, servers, or systems including both terminals and servers, and is implemented through interaction between the terminal and server. The server can be a standalone server or a server cluster composed of multiple servers. The terminal can be, but is not limited to, various personal computers, laptops, smartphones, tablets, etc. The terminal uses a cable joint structure weighting algorithm to calculate the weight values ​​of each structural feature data of the cable joint, and filters the target structural feature data based on these weight values, thereby establishing a target cable joint simulation model. This simplifies the structural feature data of the target cable joint simulation model. Then, based on the operating information of the cable joint, the target cable joint simulation model is optimized, ensuring the simulation accuracy of the target cable joint simulation model. Thus, while ensuring simulation accuracy, the structural feature data of the cable joint simulation model are optimized, improving the simulation efficiency of the cable joint simulation model.

[0061] In one embodiment, such as Figure 1 As shown, a method for determining the simulation model of a cable joint structure is provided. Taking the application of this method to a terminal as an example, the method includes the following steps:

[0062] Step S101: Obtain the structural feature data of the cable joint and the operating information of the cable joint, and calculate the weight value of each structural feature data based on the structural feature data and the cable joint structural weight algorithm.

[0063] In this embodiment, the terminal responds to the user's cable connector structure information upload operation by acquiring structural feature data of each layer of the cable connector. These layers include, but are not limited to, pluggable current contacts, silicone rubber stress cones, epoxy resin seats, spring assemblies, support rods, shielding wire connections, cable clamps, and cables. The structural feature data for each layer includes, but is not limited to, performance structural indicators (loss characteristics, reflection coefficient characteristics, etc.), geometric structural characteristics (size characteristics, shape characteristics, etc.), physical structural characteristics (material characteristics, conductivity characteristics, etc.), and electrical structural characteristics (resistance characteristics, capacitance characteristics, etc.). The terminal acquires the current-carrying information of the cable connector during normal operation and, based on this current-carrying information and the voltage information of the cable connector, calculates the equivalent resistance of the cable connector. Then, the terminal calculates the current transmission capacity of the cable connector per unit time to obtain the operating speed information of the cable connector. Finally, the terminal uses the equivalent resistance and operating speed information of the cable connector as the operating information of the cable connector. The operating information of the cable connector is used to characterize the current-carrying transmission status of the cable connector.

[0064] The terminal inputs the structural feature data of the cable joint into the cable joint structure weighting algorithm to calculate the weight value of each structural feature data. This cable joint structure weighting algorithm is based on the Relief F algorithm (a multivariate filtering feature selection algorithm) which decomposes a multi-class problem into multiple binary classification problems to achieve feature selection for multi-class problems. The specific calculation process will be explained in detail later.

[0065] Step S102: Select the structural feature data corresponding to the weight values ​​that are greater than the weight threshold among the weight values, and use them as target structural feature data. Based on each target structural feature data, establish a cable joint simulation model.

[0066] In this embodiment, the terminal presets a weight threshold and selects structural feature data corresponding to weight values ​​greater than the threshold as target structural feature data. For non-target structural feature data, the terminal determines whether related target structural feature data exists. If related target structural feature data exists, the terminal merges the non-target structural feature data with the related target structural feature data to obtain merged target structural feature data. If no related target structural feature data exists, the terminal directly deletes the non-target structural feature data. Examples of related target structural feature data include, for instance, the shape and diameter of a cable clamp; the material and conductivity of an epoxy resin base; and the length and shape of a support rod.

[0067] Based on the structural feature data of each target, the terminal optimizes the initial cable joint simulation model to obtain the cable joint simulation model. The specific establishment process will be explained in detail later.

[0068] Step S103: Perform simulation operation processing on the cable joint simulation model to obtain the operation information of the cable joint simulation model. If the difference between the operation information of the cable joint simulation model and the operation information of the cable joint is greater than the difference threshold, adjust the weight threshold and return to the step of executing the structural feature data corresponding to the weight values ​​that are greater than the weight threshold among each weight value as the initial target structural feature data. Until the difference is not greater than the difference threshold, the cable joint simulation model corresponding to the difference that is not greater than the difference threshold is used as the target cable joint simulation model.

[0069] In this embodiment, the terminal performs simulation operation processing on the cable joint simulation model to obtain the operation information of the cable joint simulation model. Then, it calculates the difference between the operation information of the cable joint simulation model and the operation information of the cable joint, and presets a difference threshold. If the difference is greater than the difference threshold, the terminal reduces the weight threshold and returns to step S102 until the difference is not greater than the difference threshold. The terminal then selects the cable joint simulation model with a difference not greater than the difference threshold as the target cable joint simulation model. The specific judgment process will be explained in detail later.

[0070] Based on the above scheme, the terminal calculates the weight values ​​of each structural feature data of the cable joint using a cable joint structure weighting algorithm. Then, based on these weight values, it filters the target structural feature data to establish a simulation model of the target cable joint. This simplifies the structural feature data of the target cable joint simulation model. Finally, based on the operating information of the cable joint, the simulation model is optimized, ensuring its simulation accuracy. Thus, while ensuring simulation accuracy, the structural feature data of the cable joint simulation model are optimized, improving its simulation efficiency.

[0071] Optionally, the structural feature data of the cable joint can be obtained, including: obtaining structural information of each level of the cable joint; extracting structural features of the structural information for each level; collecting data information of each structural feature to obtain initial structural feature information of each level; and performing data standardization processing on each initial structural feature information to obtain structural feature data.

[0072] In this embodiment, the terminal acquires structural information of each layer of the cable connector. Then, for each layer of structural information, the terminal extracts the structural features of that information and, based on the data contained in the structural information, identifies the data information of each structural feature to obtain the initial structural feature information for each layer. Finally, the terminal performs data standardization processing on each initial structural feature information to obtain the structural feature data.

[0073] Based on the above scheme, the terminal obtains structural feature data by standardizing the initial structural feature information, thereby eliminating the dimensional differences between different features, improving the uniformity of the structural feature data, and facilitating the calculation of the weight values ​​of each structural feature data.

[0074] Optionally, based on the structural feature data and the cable joint structure weighting algorithm, the weight value of each structural feature data is calculated, including: classifying the structural feature data according to the hierarchy of each structural feature data to obtain the category of each structural feature data, and selecting any category as the target category in each category; selecting any structural feature data in each structural feature data of the target category as the first structural feature data, and selecting structural feature data with a similar number of units to the first structural feature data in other categories besides the target category as the second structural feature data; calculating the weight value of the first structural feature data and the weight value of each second structural feature data based on the first structural feature data, each second structural feature data, and the cable joint structure weighting algorithm; deleting the structural feature data with determined weight values ​​in the structural feature data of each category, and returning to the step of selecting any category as the target category in each category, until the weight values ​​of all structural feature data of all categories are obtained.

[0075] In this embodiment, the terminal classifies the structural feature data based on the hierarchy of each structural feature data to obtain the categories of each structural feature data, and selects any one category as the target category. Then, the terminal selects any one structural feature data from the structural feature data of the target category as the first structural feature data, and selects structural feature data with a similar number of units to the first structural feature data from the other categories besides the target category as the second structural feature data.

[0076] Based on the first structural feature data, each second structural feature data, and the cable joint structure weighting algorithm, the terminal calculates the weight values ​​of the first structural feature data and each second structural feature data, and deletes structural feature data with determined weight values ​​from each category of structural feature data. Before deleting structural feature data with determined weight values, the terminal stores the structural feature data with determined weight values ​​and their respective weight values ​​in the dataset of data with determined weight values.

[0077] Finally, the terminal returns to the step of selecting any one category from each category as the target category, until the weight values ​​of all structural feature data for all categories are obtained.

[0078] Specifically, first, the terminal resets all feature weights to zero; then, the terminal selects any sample X (first structural feature data); the terminal finds K nearest neighbor samples Hj and Mj (j = 1, 2, ..., K) (second structural feature data) from samples of the same and different classes as sample X; based on the weight W(A) of each feature A (p = 1, 2, ..., P) that has been reset to zero, the terminal calculates the weight values ​​of the first structural feature data and the weight values ​​of each second structural feature data using the cable joint structure weight algorithm. The calculation formula for the cable joint structure weight algorithm is as follows:

[0079]

[0080] In the above formula, diff(A,R1,R2) represents the difference between samples R1 and R2 on feature A, and M... j (C) indicates that class C is not included in the j-th nearest neighbor sample of class(R), p is the number of all first structural feature data, and k is the number of all second structural feature data corresponding to any first structural feature data, as shown in the following formula:

[0081]

[0082] The terminal repeats the above steps until the weight values ​​of all samples are obtained; finally, the terminal sorts the samples corresponding to each weight W in descending order of weight value.

[0083] Based on the above scheme, the terminal calculates the weight value of each structural feature data through the cable joint structure weight algorithm, thereby quantifying each structural feature data and improving the screening efficiency of each structural feature data.

[0084] Optionally, based on the target structural feature data, a cable joint simulation model is established, including: obtaining the initial cable joint simulation model and the normal structural feature parameters of the initial cable joint simulation model, and resetting all structural feature parameters of the initial cable joint simulation model; converting the target structural feature data of each category into target structural feature parameters, and querying the structural feature parameters corresponding to each target structural feature data in all structural feature parameters of the initial cable joint simulation model; replacing the structural feature parameters corresponding to the target structural feature data of each target structural feature parameter with each target structural feature parameter, and replacing all other structural feature parameters except the target structural feature parameters with the normal structural feature parameters corresponding to each other structural feature parameter, to obtain the cable joint simulation model.

[0085] In this embodiment, the terminal acquires an initial cable joint simulation model and its normal structural feature parameters, and resets all structural feature parameters of the initial cable joint simulation model. Then, the terminal converts the target structural feature data of each category into target structural feature parameters and queries the initial cable joint simulation model for the structural feature parameters corresponding to each target structural feature data. The conversion into target structural feature parameters may, but is not limited to, directly extracting the data value of the target structural feature data and using that data value as the target structural parameter corresponding to that target structural feature data. Next, the terminal replaces the structural feature parameters corresponding to the target structural feature data with the target structural feature parameters, and replaces all other structural feature parameters with their corresponding normal structural feature parameters, thus obtaining the cable joint simulation model. The normal structural feature parameters can be 0.

[0086] Based on the above scheme, the terminal simplifies the cable joint simulation model by filtering target structural feature data, thereby improving the computational efficiency of the cable joint simulation model.

[0087] Optionally, the operating information includes equivalent resistance and operating speed. The cable joint simulation model is simulated to obtain the operating information of the cable joint simulation model, including: identifying the current transmission information corresponding to the operating information of the cable joint, and simulating the cable joint simulation model based on the current transmission information to obtain the operating time and current transmission results of the cable joint simulation model; calculating the operating speed of the cable joint simulation model based on the operating time of the cable joint simulation model, and determining the equivalent resistance of the cable joint simulation model based on the current transmission results of the cable joint simulation model.

[0088] In this embodiment, the terminal identifies the current transmission information (i.e., current carrying capacity information) corresponding to the operating information of the cable joint, and performs simulation operation processing on the cable joint simulation model based on this current transmission information to obtain the operating time and current transmission result of the cable joint simulation model. The operating time is the time corresponding to the target current quantity transported by the cable joint simulation model, and the current transmission result includes, but is not limited to, the transmitted current and voltage value of the cable joint simulation model. Then, based on the operating time of the cable joint simulation model, the terminal calculates the operating time of the cable joint simulation model per unit current, obtaining the operating speed of the cable joint simulation model. Based on the current transmission result of the cable joint simulation model, the terminal calculates the equivalent resistance of the cable joint simulation model using an equivalent resistance calculation algorithm.

[0089] Based on the above scheme, by performing simulation operation processing on the cable joint simulation model, the operation information of the cable joint simulation model is obtained, which improves the accuracy of identifying the operation effect of the simplified cable joint simulation model.

[0090] Optionally, if the difference between the running information of the cable joint simulation model and the running information of the cable joint is greater than a difference threshold, the weight threshold is adjusted, and the step of using the structural feature data corresponding to the weight values ​​greater than the weight threshold as the initial target structural feature data is returned. This process continues until the difference is greater than the difference threshold. Then, the cable joint simulation model corresponding to the difference greater than the difference threshold is used as the target cable joint simulation model. This includes: calculating the resistance difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint, and the speed difference between the running speed of the cable joint simulation model and the running speed of the cable joint; [further details about the cable joint simulation model and its equivalent resistance are needed for a complete translation.] If the difference between the effective resistance and the equivalent resistance of the cable joint is greater than the resistance difference threshold, or if the speed difference between the running speed of the cable joint simulation model and the running speed of the cable joint is greater than the speed difference threshold, the weight threshold is reduced, and the step of using the structural feature data corresponding to the weight value greater than the weight threshold as the initial target structural feature data is returned; if the difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint is less than the resistance difference threshold, and the speed difference between the running speed of the cable joint simulation model and the running speed of the cable joint is less than the speed difference threshold, the cable joint simulation model is used as the target cable joint simulation model.

[0091] In this embodiment, the terminal presets a resistance difference threshold and a speed difference threshold, and calculates the resistance difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint, as well as the speed difference between the operating speed of the cable joint simulation model and the operating speed of the cable joint. This speed difference includes positive and negative speed differences. The terminal then determines whether the difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint is greater than the resistance difference threshold, or whether the speed difference between the operating speed of the cable joint simulation model and the operating speed of the cable joint is greater than the speed difference threshold. If the difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint is greater than the resistance difference threshold, or the speed difference between the running speed of the cable joint simulation model and the running speed of the cable joint is greater than the speed difference threshold, the terminal reduces the preset weight threshold and returns to the step of executing the structural feature data corresponding to the weight values ​​that are greater than the weight threshold among all weight values ​​as the initial target structural feature data, until the difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint is less than the resistance difference threshold, and the speed difference between the running speed of the cable joint simulation model and the running speed of the cable joint is less than the speed difference threshold, the terminal will use the cable joint simulation model that meets the above conditions as the target cable joint simulation model.

[0092] Based on the above scheme, the simplification effect of the cable joint simulation model is evaluated through simulation comparison. Based on the simplification effect, the cable joint simulation model is optimized, thereby improving the simplification accuracy of the cable joint simulation model.

[0093] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0094] This application also provides an example of determining a simulation model for a cable joint structure, such as... Figure 2 As shown, the specific processing procedure includes the following steps:

[0095] Step S201: Obtain the structural information of each level of the cable joint and the operation information of the cable joint. For the structural information of each level, extract the structural features of the structural information and collect the data information of each structural feature to obtain the initial structural feature information of each level.

[0096] Step S202: Perform data standardization processing on each initial structural feature information to obtain each structural feature data.

[0097] Step S203: Classify the structural feature data based on the hierarchy of each structural feature data to obtain the category of each structural feature data, and select any category from each category as the target category.

[0098] Step S204: Select any one structural feature data from the structural feature data of the target category as the first structural feature data, and select structural feature data with a similar number of units to the first structural feature data from other categories besides the target category as the second structural feature data.

[0099] Step S205: Based on the first structural feature data, each second structural feature data, and the cable joint structure weighting algorithm, calculate the weight value of the first structural feature data and the weight value of each second structural feature data.

[0100] Step S206: In the structural feature data of each category, delete the structural feature data with determined weight values, and return to the step of filtering any category as the target category in each category until the weight values ​​of all structural feature data of all categories are obtained.

[0101] Step S207: Obtain the initial cable joint simulation model and the normal structural feature parameters of the initial cable joint simulation model, and reset all structural feature parameters of the initial cable joint simulation model.

[0102] Step S208: Convert the target structural feature data of each category into target structural feature parameters, and query the structural feature parameters corresponding to each target structural feature data from all structural feature parameters of the initial cable joint simulation model.

[0103] Step S209: Replace the structural feature parameters corresponding to the target structural feature data of each target structural feature parameter with the structural feature parameters of each target structural feature parameter, and replace all other structural feature parameters except the target structural feature parameters with the normal structural feature parameters corresponding to the other structural feature parameters to obtain the cable joint simulation model.

[0104] Step S210: Identify the current transmission information corresponding to the operating information of the cable joint, and based on the current transmission information, perform simulation operation processing on the cable joint simulation model to obtain the running time and current transmission results of the cable joint simulation model.

[0105] Step S211: Based on the running time of the cable joint simulation model, calculate the running speed of the cable joint simulation model, and based on the current transmission results of the cable joint simulation model, determine the equivalent resistance of the cable joint simulation model.

[0106] Step S212: Calculate the resistance difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint, and the speed difference between the running speed of the cable joint simulation model and the running speed of the cable joint.

[0107] Step S213: If the difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint is greater than the resistance difference threshold, or the speed difference between the running speed of the cable joint simulation model and the running speed of the cable joint is greater than the speed difference threshold, reduce the weight threshold and return to the step of executing the structural feature data corresponding to the weight value that is greater than the weight threshold among all weight values ​​as the initial target structural feature data.

[0108] Step S214: If the difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint is less than the resistance difference threshold, and the speed difference between the running speed of the cable joint simulation model and the running speed of the cable joint is less than the speed difference threshold, then the cable joint simulation model is used as the target cable joint simulation model.

[0109] Based on the same inventive concept, this application also provides a device for determining a simulation model of a cable joint structure to implement the above-described method for determining a simulation model of a cable joint structure. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the device for determining a simulation model of a cable joint structure provided below can be found in the limitations of the method for determining a simulation model of a cable joint structure described above, and will not be repeated here.

[0110] In one embodiment, such as Figure 3 As shown, a simulation model determination device for cable joint structures is provided, comprising: an acquisition module 310, a screening module 320, and a simulation module 330, wherein:

[0111] The acquisition module 310 is used to acquire the structural feature data of the cable joint and the operation information of the cable joint, and calculate the weight value of each structural feature data based on each structural feature data and the cable joint structure weight algorithm.

[0112] The filtering module 320 is used to filter the structural feature data corresponding to the weight values ​​that are greater than the weight threshold among the weight values, and use them as target structural feature data, and establish a cable joint simulation model based on the target structural feature data.

[0113] The simulation module 330 is used to perform simulation operation processing on the cable joint simulation model, obtain the operation information of the cable joint simulation model, and adjust the weight threshold when the difference between the operation information of the cable joint simulation model and the operation information of the cable joint is greater than the difference threshold. Then, it returns to the step of executing the structural feature data corresponding to the weight values ​​that are greater than the weight threshold among the weight values ​​as the initial target structural feature data, until the difference is not greater than the difference threshold. Finally, the cable joint simulation model corresponding to the difference that is not greater than the difference threshold is used as the target cable joint simulation model.

[0114] Optionally, the acquisition module 310 is specifically used for:

[0115] Obtain the structural information of each layer of the cable joint, extract the structural features of the structural information for each layer, and collect the data information of each structural feature to obtain the initial structural feature information of each layer.

[0116] The initial structural feature information is standardized to obtain the structural feature data.

[0117] Optionally, the acquisition module 310 is specifically used for:

[0118] Based on the hierarchy of each structural feature data, the structural feature data is classified to obtain the category of each structural feature data, and any one of the categories is selected as the target category.

[0119] Select any one structural feature data from the structural feature data of the target category as the first structural feature data, and select structural feature data with a similar number of units to the first structural feature data from other categories besides the target category as the second structural feature data.

[0120] Based on the first structural feature data, each of the second structural feature data, and the cable joint structure weighting algorithm, calculate the weight value of the first structural feature data and the weight value of each of the second structural feature data;

[0121] In the structural feature data of each category, delete the structural feature data with determined weight values, and return to the step of filtering any one category as the target category in each category until the weight values ​​of all structural feature data of all categories are obtained.

[0122] Optionally, the filtering module 320 is specifically used for:

[0123] Obtain the initial cable joint simulation model and the normal structural feature parameters of the initial cable joint simulation model, and reset all structural feature parameters of the initial cable joint simulation model;

[0124] The target structural feature data of each category is transformed into target structural feature parameters, and the structural feature parameters corresponding to each target structural feature data are queried from all structural feature parameters of the initial cable joint simulation model.

[0125] The target structural feature parameters are replaced with the structural feature parameters corresponding to the target structural feature data of each of the target structural feature parameters, and all other structural feature parameters except the target structural feature parameters are replaced with the normal structural feature parameters corresponding to the other structural feature parameters, to obtain the cable joint simulation model.

[0126] Optionally, the operating information includes equivalent resistance and operating speed, and the simulation module 330 is specifically used for:

[0127] Identify the current transmission information corresponding to the operating information of the cable joint, and based on the current transmission information, perform simulation operation processing on the cable joint simulation model to obtain the running time and current transmission result of the cable joint simulation model;

[0128] Based on the running time of the cable joint simulation model, the running speed of the cable joint simulation model is calculated, and based on the current transmission results of the cable joint simulation model, the equivalent resistance of the cable joint simulation model is determined.

[0129] Optionally, the simulation module 330 is specifically used for:

[0130] Calculate the resistance difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint, and the speed difference between the running speed of the cable joint simulation model and the running speed of the cable joint.

[0131] If the difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint is greater than the resistance difference threshold, or if the difference between the running speed of the cable joint simulation model and the running speed of the cable joint is greater than the speed difference threshold, the weight threshold is reduced, and the step of executing the structural feature data corresponding to the weight value that is greater than the weight threshold among the weight values ​​is returned as the initial target structural feature data.

[0132] If the difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint is less than the resistance difference threshold, and the speed difference between the running speed of the cable joint simulation model and the running speed of the cable joint is less than the speed difference threshold, then the cable joint simulation model shall be used as the target cable joint simulation model.

[0133] The simulation model of the aforementioned cable connector structure determines that each module in the device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0134] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 4 As shown, the computer device includes a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When executed by the processor, the computer program implements a method for determining a simulation model of a cable connector structure. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the computer device casing, or an external keyboard, touchpad, or mouse.

[0135] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0136] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the method described in any one of the first aspects.

[0137] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described in any one of the first aspects.

[0138] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of the method described in any one of the first aspects.

[0139] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0140] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0141] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0142] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for determining a simulation model of a cable joint structure, characterized in that, The method includes: Obtain the structural feature data of the cable joint and the operation information of the cable joint, and calculate the weight value of each structural feature data based on each structural feature data and the cable joint structure weight algorithm; Structural feature data corresponding to weight values ​​greater than the weight threshold are selected from the weight values ​​and used as target structural feature data. Based on the target structural feature data, a cable joint simulation model is established. Identify the current transmission information corresponding to the operating information of the cable joint, and based on the current transmission information, perform simulation operation processing on the cable joint simulation model to obtain the running time and current transmission result of the cable joint simulation model; Based on the running time of the cable joint simulation model, the running speed of the cable joint simulation model is calculated, and based on the current transmission results of the cable joint simulation model, the equivalent resistance of the cable joint simulation model is determined. Calculate the resistance difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint, and the speed difference between the running speed of the cable joint simulation model and the running speed of the cable joint. If the difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint is greater than the resistance difference threshold, or if the difference between the running speed of the cable joint simulation model and the running speed of the cable joint is greater than the speed difference threshold, the weight threshold is reduced, and the step of executing the structural feature data corresponding to the weight value that is greater than the weight threshold among the weight values ​​is returned as the initial target structural feature data. If the difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint is less than the resistance difference threshold, and the speed difference between the running speed of the cable joint simulation model and the running speed of the cable joint is less than the speed difference threshold, then the cable joint simulation model shall be used as the target cable joint simulation model.

2. The method according to claim 1, characterized in that, The acquisition of structural feature data of the cable joint includes: Obtain the structural information of each layer of the cable joint, extract the structural features of the structural information for each layer, and collect the data information of each structural feature to obtain the initial structural feature information of each layer. The initial structural feature information is standardized to obtain the structural feature data.

3. The method according to claim 2, characterized in that, The calculation of the weight value for each structural feature data based on the structural feature data and the cable joint structure weight algorithm includes: Based on the level to which each structural feature data belongs, the structural feature data is classified to obtain the category of each structural feature data, and any one of the categories is selected as the target category. Select any one structural feature data from the structural feature data of the target category as the first structural feature data, and select structural feature data with a similar number of units to the first structural feature data from other categories besides the target category as the second structural feature data. Based on the first structural feature data, each of the second structural feature data, and the cable joint structure weighting algorithm, calculate the weight value of the first structural feature data and the weight value of each of the second structural feature data; In the structural feature data of each category, delete the structural feature data with determined weight values, and return to the step of filtering any one category as the target category in each category until the weight values ​​of all structural feature data of all categories are obtained.

4. The method according to claim 3, characterized in that, The establishment of a cable joint simulation model based on the characteristic data of each target structure includes: Obtain the initial cable joint simulation model and the normal structural feature parameters of the initial cable joint simulation model, and reset all structural feature parameters of the initial cable joint simulation model; The target structural feature data of each category is transformed into target structural feature parameters, and the structural feature parameters corresponding to each target structural feature data are queried from all structural feature parameters of the initial cable joint simulation model. Replace the target structural feature parameters with the structural feature parameters corresponding to the target structural feature data of each of the target structural feature parameters, and replace all other structural feature parameters except the target structural feature parameters with the normal structural feature parameters corresponding to the other structural feature parameters to obtain the cable joint simulation model.

5. A device for determining a simulation model of a cable joint structure, characterized in that, The device includes: The acquisition module is used to acquire the structural feature data of the cable joint and the operation information of the cable joint, and to calculate the weight value of each structural feature data based on the structural feature data and the cable joint structure weight algorithm. The filtering module is used to filter the structural feature data corresponding to the weight values ​​that are greater than the weight threshold among the weight values, and use them as target structural feature data. Based on the target structural feature data, a cable joint simulation model is established. The simulation module is used to identify the current transmission information corresponding to the operating information of the cable joint, and based on the current transmission information, to perform simulation operation processing on the cable joint simulation model to obtain the operating time and current transmission results of the cable joint simulation model; based on the operating time of the cable joint simulation model, to calculate the operating speed of the cable joint simulation model, and based on the current transmission results of the cable joint simulation model, to determine the equivalent resistance of the cable joint simulation model; to calculate the resistance difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint, and the speed difference between the operating speed of the cable joint simulation model and the operating speed of the cable joint; and to perform simulation operation on the cable joint simulation model. If the difference between the equivalent resistance of the model and the equivalent resistance of the cable joint is greater than the resistance difference threshold, or if the speed difference between the running speed of the cable joint simulation model and the running speed of the cable joint is greater than the speed difference threshold, the weight threshold is reduced, and the step of using the structural feature data corresponding to the weight value greater than the weight threshold among the weight values ​​as the initial target structural feature data is returned; if the difference between the equivalent resistance of the cable joint simulation model and the equivalent resistance of the cable joint is less than the resistance difference threshold, and the speed difference between the running speed of the cable joint simulation model and the running speed of the cable joint is less than the speed difference threshold, the cable joint simulation model is used as the target cable joint simulation model.

6. The apparatus according to claim 5, characterized in that, The acquisition module is specifically used for: Obtain the structural information of each layer of the cable joint, extract the structural features of the structural information for each layer, and collect the data information of each structural feature to obtain the initial structural feature information of each layer. The initial structural feature information is standardized to obtain the structural feature data.

7. The apparatus according to claim 6, characterized in that, The acquisition module is specifically used for: Based on the level to which each structural feature data belongs, the structural feature data is classified to obtain the category of each structural feature data, and any one of the categories is selected as the target category. Select any one structural feature data from the structural feature data of the target category as the first structural feature data, and select structural feature data with a similar number of units to the first structural feature data from other categories besides the target category as the second structural feature data. Based on the first structural feature data, each of the second structural feature data, and the cable joint structure weighting algorithm, calculate the weight value of the first structural feature data and the weight value of each of the second structural feature data; In the structural feature data of each category, delete the structural feature data with determined weight values, and return to the step of filtering any one category as the target category in each category until the weight values ​​of all structural feature data of all categories are obtained.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 4.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 4.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 4.

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