Distribution Panel Box Acquisition Method, Device and Computer Equipment for Primary Power Distribution System

Abstract

The embodiments of the present application disclose a method, device, computer device, and storage medium for obtaining distribution panel boxes of a primary power distribution system. This method divides the power distribution devices of the primary power distribution system into multiple panel box components, then performs clustering on the panel box components to obtain a clustering result. According to the performance attribute parameters of each panel box component and the connection information between the panel box components, the performance attribute parameters of the primary power distribution system under the clustering result are obtained, and the clustering result is optimized with these performance attribute parameters as the optimization objective to obtain a target clustering result. Finally, based on the panel box grouping corresponding to the target clustering result, the distribution panel boxes of the primary power distribution system are determined. By transforming the problem of distributing the distribution panel boxes of the aircraft primary power distribution system into a clustering problem of power distribution devices, the workload of obtaining the distribution panel boxes is reduced, and the power distribution devices of the primary power distribution system can be distributed to the distribution panel boxes in the optimal performance manner, improving the system performance of the aircraft primary power distribution system.

Description

Technical Field

[0001] The present application relates to the technical field of primary power distribution systems, and particularly to a method, device, computer equipment, and storage medium for obtaining distribution panel boxes of a primary power distribution system. Background Art

[0002] An aircraft power distribution system includes two subsystems: primary power distribution and secondary power distribution. Among them, the primary power distribution system distributes the electrical energy of the generator to each busbar, and realizes the distributed power distribution of the system through several distribution panel boxes distributed in multiple compartments of the aircraft. The existing distribution panel box division scheme of the primary power distribution system often performs division through enumeration traversal, with a large workload, and when setting the distribution panel boxes through this division scheme, the performance of the primary power distribution system is poor. Summary of the Invention

[0003] Based on this, in view of the above technical problems, it is necessary to provide a method, device, computer equipment, and storage medium for obtaining distribution panel boxes of a primary power distribution system that can improve the power distribution performance of the primary power distribution system.

[0004] In a first aspect, the present application provides a method for obtaining distribution panel boxes of a primary power distribution system, the method comprising:

[0005] Dividing the electrical devices of the primary power distribution system into multiple panel box components;

[0006] Clustering the panel box components to obtain a clustering result, the clustering result including multiple panel box groups;

[0007] According to the performance attribute parameters of each of the panel box components and the connection information between the panel box components, obtaining the performance attribute parameters of the primary power distribution system under the clustering result;

[0008] Taking the performance attribute parameters of the primary power distribution system under the clustering result as an optimization target, optimizing the clustering result to obtain a target clustering result;

[0009] Based on the panel box groups corresponding to the target clustering result, determining the distribution panel boxes of the primary power distribution system.

[0010] In one embodiment, the obtaining the performance attribute parameters of the primary power distribution system under the clustering result according to the performance attribute parameters of each of the panel box components and the connection information between the panel box components includes:

[0011] According to the performance attribute parameters of each of the panel box components, obtaining the performance attribute parameters of each of the panel box groups;

[0012] Determining the connection cable types between the panel box components according to the connection information between the panel box components;

[0013] Obtain cable performance parameters according to the position information of each of the cabinet components, the connection information between the cabinet components, and the connection cable model;

[0014] Obtain the performance attribute parameters of the primary power distribution system under the clustering result according to the performance attribute parameters of each of the cabinet groups and the cable performance parameters.

[0015] In one embodiment, the obtaining cable performance parameters according to the position information of each of the cabinet components, the connection information between the cabinet components, and the connection cable model includes:

[0016] Based on the position information of each of the cabinet components and the connection information between the cabinet components, obtain the cable position information between the cabinet components with a connection relationship;

[0017] Obtain cable performance parameters according to the cable position information between the cabinet components with a connection relationship and the unit performance information of the cable corresponding to the connection cable model.

[0018] In one embodiment, the connection information between the cabinet components includes the current information between the cabinet components, the unit performance information of the cable corresponding to the connection cable model includes the weight per unit length, the resistance per unit length, and the cross-sectional area; the cable performance parameters include the cable weight, the cable volume, and the cable loss;

[0019] The obtaining cable performance parameters according to the cable position information between the cabinet components with a connection relationship and the unit performance information of the cable corresponding to the connection cable model includes:

[0020] According to the cable position information between the cabinet components with a connection relationship, obtain the cable length between the cabinet components with a connection relationship;

[0021] Obtain the cable weight according to the weight per unit length of the cable and the cable length;

[0022] Obtain the cable volume according to the cross-sectional area of the cable and the cable length;

[0023] Obtain the cable loss according to the resistance per unit length of the cable, the cable length, and the current information between the cabinet components.

[0024] In one embodiment, the cable performance parameters include the cable weight, the cable volume, and the cable loss; the performance attribute parameters of the cabinet group include the cabinet failure rate, the cabinet weight, the cabinet volume, and the cabinet loss; the performance attribute parameters of the primary power distribution system include the total failure rate, the total weight, the total volume, the total loss amount, the heat dissipation performance, and the structural strength;

[0025] Obtaining the performance attribute parameters of the primary power distribution system under the clustering result according to the performance attribute parameters grouped by each of the disk boxes and the cable performance parameters includes:

[0026] Determining the total failure rate of the primary power distribution system under the clustering result as the failure rate of the disk box group with the largest disk box failure rate;

[0027] Determining the total weight of the primary power distribution system under the clustering result as the sum of the weights of the disk boxes in each of the disk box groups and the cable weight;

[0028] Determining the total volume of the primary power distribution system under the clustering result as the sum of the volumes of the disk boxes in each of the disk box groups and the cable volume;

[0029] Determining the total loss amount of the primary power distribution system under the clustering result as the sum of the losses of the disk boxes in each of the disk box groups and the cable loss;

[0030] Respectively obtaining the heat dissipation amount per unit volume of each of the disk box groups according to the volume and loss of the disk boxes in each of the disk box groups, and determining the average value of the heat dissipation amount per unit volume of each of the disk box groups as the heat dissipation performance of the primary power distribution system under the clustering result;

[0031] Determining the volume of the disk box group with the largest disk box volume as the structural strength of the primary power distribution system under the clustering result.

[0032] In one embodiment, the power distribution devices of the primary power distribution system include switching devices, busbars, and power conversion devices;

[0033] The dividing the power distribution devices of the primary power distribution system into multiple disk box components includes:

[0034] Taking the busbar and the power conversion device as the main body, and dividing the power distribution devices of the primary power distribution system into multiple disk box components according to the position information of the switching devices.

[0035] In one embodiment, the performance attribute parameters of the primary power distribution system include total failure rate, total weight, total volume, total loss amount, heat dissipation performance, and structural strength;

[0036] The optimizing the clustering result with the performance attribute parameters of the primary power distribution system under the clustering result as the optimization objective to obtain the target clustering result includes:

[0037] Taking the total failure rate, total weight, total volume, total loss, heat dissipation performance, or structural strength as the optimization objective, and optimizing the clustering result based on a multi-objective evolutionary algorithm to obtain the target clustering result.

[0038] In a second aspect, the present application provides a device for obtaining a distribution board box of a primary power distribution system, the device comprising:

[0039] A box component acquisition module, configured to divide the power distribution devices of the primary power distribution system into a plurality of box components;

[0040] A box component clustering module, configured to cluster the box components to obtain a clustering result, the clustering result including a plurality of box groups;

[0041] A performance attribute parameter acquisition module, configured to obtain the performance attribute parameters of the primary power distribution system under the clustering result according to the performance attribute parameters of each of the box components and the connection information between the box components;

[0042] A clustering result optimization module, configured to optimize the clustering result with the performance attribute parameters of the primary power distribution system under the clustering result as the optimization target to obtain a target clustering result;

[0043] A distribution board box acquisition module, configured to determine the distribution board box of the primary power distribution system based on the box groups corresponding to the target clustering result.

[0044] In a third aspect, the present application further provides a computer device, which includes:

[0045] One or more processors;

[0046] A memory; and

[0047] One or more applications, wherein one or more applications are stored in the memory and configured to be executed by the processor to implement a method for obtaining a distribution board box of a primary power distribution system.

[0048] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, and the computer program is loaded by a processor to execute the steps in the method for obtaining a distribution board box of a primary power distribution system.

[0049] The above method, device, computer equipment and storage medium for obtaining distribution board boxes of the primary power distribution system divide the distribution devices of the primary power distribution system into multiple board box components, then cluster the board box components to obtain a clustering result to get board box groups, obtain the performance attribute parameters of the primary power distribution system under the clustering result according to the performance attribute parameters of each board box component and the connection information between the board box components, and optimize the clustering result with the performance attribute parameters of the primary power distribution system under the clustering result as the optimization goal to obtain a target clustering result; finally, determine the distribution board boxes of the primary power distribution system based on the board box groups corresponding to the target clustering result. By transforming the problem of allocating distribution board boxes of the aircraft primary power distribution system into a clustering problem of distribution devices, the workload of obtaining distribution board boxes is reduced, and the distribution devices of the primary power distribution system are allocated with distribution board boxes in the optimal performance manner, improving the system performance of the aircraft primary power distribution system. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 FIG. is an application environment diagram of the method for obtaining distribution board boxes of the primary power distribution system in an embodiment;

[0051] Figure 2 FIG. is a schematic flowchart of the method for obtaining distribution board boxes of the primary power distribution system in an embodiment;

[0052] Figure 3 FIG. is a schematic diagram of the primary power distribution system in an embodiment;

[0053] Figure 4 FIG. is a schematic diagram of dividing the distribution devices of the primary power distribution system into board box components in an embodiment;

[0054] Figure 5 FIG. is a schematic flowchart of obtaining the performance attribute parameters of the primary power distribution system in an embodiment;

[0055] Figure 6 FIG. is a schematic diagram of optimizing the clustering result in an embodiment;

[0056] Figure 7 FIG. is a schematic diagram of the performance attribute parameters of the primary power distribution system with 8 groups of optimized clustering results in an embodiment;

[0057] Figure 8 FIG. is a schematic diagram of the board box groups corresponding to the target clustering result in an embodiment;

[0058] Figure 9 FIG. is a schematic structural diagram of the device for obtaining distribution board boxes of the primary power distribution system in an embodiment;

[0059] Figure 10 FIG. is an internal structural diagram of computer equipment in an embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0060] In order to make the objectives, technical solutions and advantages of the present application more clear and understandable, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0061] The method for obtaining a distribution panel box of a primary power distribution system provided by the present application can be applied to an application environment as Figure 1 shown. Among them, a technician can input the architecture information or design information of the primary power distribution system of an aircraft into the server 110. After the server 110 determines the distribution electrical components of the primary power distribution system, it can divide the distribution electrical components of the primary power distribution system into multiple panel box components; cluster the panel box components to obtain a clustering result, and the clustering result includes multiple panel box groups; according to the performance attribute parameters of each panel box component and the connection information between each panel box component, obtain the performance attribute parameters of the primary power distribution system under the clustering result; optimize the clustering result with the performance attribute parameters of the primary power distribution system under the clustering result as the optimization objective to obtain a target clustering result; based on the panel box groups corresponding to the target clustering result, determine the distribution panel box of the primary power distribution system. Among them, the server 110 can be implemented by an independent server or a server cluster composed of multiple servers.

[0062] In one embodiment, as Figure 2 shown, a method for obtaining a distribution panel box of a primary power distribution system is provided. Taking the example that this method is applied to the Figure 1 terminal as an example, it includes the following steps:

[0063] Step 210, divide the distribution electrical components of the primary power distribution system into multiple panel box components.

[0064] Among them, the distribution electrical components refer to various components that make up the primary power distribution system, such as busbars, switches, cables, power conversion devices, etc.; the panel box components refer to the smallest units that divide the distribution electrical components in the power distribution system into those that can form a panel box. It can be understood that the panel box components can be a distribution electrical component or a collection of multiple distribution electrical components. Specifically, the server can divide the distribution electrical components in the primary power distribution system into panel box components based on the design rules of the aircraft power grid, and use the panel box components as the smallest units for subsequent clustering analysis, effectively reducing the clustering analysis calculation amount and providing the calculation speed.

[0065] Further, in one embodiment, the distribution electrical components of the primary power distribution system include switching devices, busbars, and power conversion devices; dividing the distribution electrical components of the primary power distribution system into multiple panel box components includes: taking the busbars and power conversion devices as the main body, and dividing the distribution electrical components of the primary power distribution system into multiple panel box components according to the position information of the switching devices.

[0066] Among them, the distribution devices of the primary power distribution system often include busbars, switching devices, power conversion devices, cables, etc. Specifically, the busbars include AC busbars, DC busbars, or a combination of both. The switching devices include one or several of contactors, circuit breakers, fuses, solid-state power controllers, etc. The power conversion devices include one or several of step-down rectifiers, autotransformers, transformers, PWM rectifiers, static inverters, etc. The cables include power lines, control lines, etc. When the server divides the disk box components, it can divide the distribution devices in the primary power distribution system with the busbars and power conversion devices as the main bodies according to the layout rules of the switching devices in the primary power distribution system. For example, see Figure 3 and Figure 4 , Figure 3 shows the architecture of the primary power distribution system of a certain type of aircraft. The primary power distribution system has 3 high-voltage DC busbars of 270V and 2 low-voltage DC busbars of 28V, and redundant fault-tolerant power supply is carried out through a network composed of switches, cables, and converters. According to the characteristics of this primary power distribution system, the server divides the distribution devices therein into different distribution components, specifically as Figure 4 shown. The distribution devices in this primary power distribution system are divided into 7 disk box components. For example, the disk box component 410 includes DC busbar 1, switches S1, S2, S3, and S4. The disk box component 420 includes DC busbar 2, switches S5, S6, S7, and S8. The disk box component 470 includes DC / DC converter 2. Examples are not given one by one here.

[0067] Step 220: Cluster the disk box components to obtain a clustering result, which includes multiple disk box groups.

[0068] Among them, clustering the disk box components means grouping the disk box components to achieve dividing the disk box components into different disk box groups. A disk box group can include one or more disk box components; the clustering result is the result of grouping the disk box components and can include multiple disk box groups. Each disk box group can be used as a disk box for subsequent independent power distribution. After the server divides the primary power distribution system into different disk box components, it can use a clustering algorithm to cluster the disk box components to divide each disk box component into different disk box groups and obtain a clustering result.

[0069] Specifically, the server can use a single clustering algorithm to cluster the disk box components to obtain multiple clustering results, or use multiple different clustering algorithms to cluster the disk box components to obtain multiple clustering results. Among them, the mentioned clustering algorithms can be clustering algorithms such as K-Means (K-means) clustering and mean shift clustering, which are not limited here.

[0070] Step 230: Obtain the performance attribute parameters of the primary power distribution system under the clustering result according to the performance attribute parameters of each panel box component and the connection information between the panel box components.

[0071] Among them, the performance attribute parameters of the primary power distribution system under the clustering result refer to using the panel box component grouping result corresponding to the clustering result to group the panel box components in the primary power distribution system, so as to group different power distribution devices and obtain multiple panel box groups. When each panel box group is used as a panel box for power distribution, the performance attribute parameters in this primary power distribution system. It can be understood that different clustering results correspond to different panel box groups, and the performance attribute parameters of the primary power distribution system under different clustering results are also different. Specifically, the performance attribute parameters of the primary power distribution system include information such as total failure rate, total weight, total volume, total loss, heat dissipation performance, and structural strength.

[0072] Among them, the performance attribute parameters of the panel box component include information such as voltage, current, weight, volume, and loss. When the panel box component is independently composed of a power distribution device, the performance attribute parameters of this power distribution device are the performance attribute parameters of this panel box component; when the panel box component is a collection of multiple power distribution devices, the performance attribute parameters of this panel box component can be determined according to the performance attribute parameters of each power distribution device that makes up the panel box component. For example, the sum of the failure rates of each power distribution device that makes up the panel box component can be determined as the failure rate of this panel box component, the input voltage or output voltage of this panel box component can be determined according to the voltages of each power distribution device that makes up the panel box component, the sum of the weights of each power distribution device that makes up the panel box component can be determined as the weight of this panel box component, the sum of the volumes of each power distribution device that makes up the panel box component can be determined as the volume of this panel box component, the sum of the loss amounts of each power distribution device that makes up the panel box component can be determined as the loss amount of this panel box component, and so on.

[0073] Among them, the connection information between the panel box components is used to describe the connection form between any two panel box components, such as whether any two panel box components are connected, and information such as current, input voltage, and output voltage between two panel box components with a connection relationship; specifically, in one embodiment, for a primary power distribution system with N panel box components, the connection relationship of each panel box individual can be determined according to the network topology of the primary power distribution system. Based on graph theory and electrical network theory, a matrix is used to describe the voltage and current connected between each panel box member individual, and the matrix is as follows formula (1):

[0074] C = [C m,n N×N (1)

[0075] Among them, C m,n Can be expressed as the following formula (2):

[0076] ​

[0077] Among them, I m-1→n-1 represents the current from the disk box component (m - 1) to the disk box component (n - 1), and V in_n represents the input voltage of the disk box n, and V out_m represents the output voltage of the disk box m.

[0078] Among them, in the primary power distribution system, the power distribution devices are divided into multiple disk box components. The performance attribute parameters of the primary power distribution system are related to the performance attribute parameters corresponding to each disk box component. In addition, there is a connection relationship between the disk box components, that is, cables are required to connect between the disk box components. The cable performance parameters are influencing factors for the performance attribute parameters of the primary power distribution system. Therefore, the performance attribute parameters of the primary power distribution system are also related to the connection information between the disk box components. Specifically, the server can obtain the performance attribute parameters of each disk box group corresponding to the clustering result according to the performance attribute parameters of each disk box component, and determine the cable performance parameters between each disk box component according to the connection information between each disk box component, so as to obtain the performance attribute parameters of the primary power distribution system when distributing power according to the disk box grouping situation corresponding to the clustering result.

[0079] Step 240, taking the performance attribute parameters of the primary power distribution system under the clustering result as the optimization objective, optimize the clustering result to obtain the target clustering result.

[0080] Among them, after obtaining the performance attribute parameters of the primary power distribution system under different clustering results, the server can iteratively optimize the clustering result with the aim of optimizing the performance attribute parameters of the primary power distribution system, so as to obtain the target clustering result with the optimal performance attribute parameters of the primary power distribution system. It can be understood that the primary power distribution system can design the distribution disk box according to the multiple disk box groups corresponding to the target clustering result, and one disk box group corresponds to one distribution disk box.

[0081] Specifically, a multi-objective evolutionary algorithm can be used to optimize the clustering results. As described above, when clustering the panel box components, the panel box components in the primary power distribution system are divided into different panel box groups. Multiple clustering results can be obtained when clustering the panel box components, and different clustering results correspond to different division situations of the panel box components. After obtaining the performance attribute parameters of the primary power distribution system under different clustering results, the performance attribute parameters of the primary power distribution system under different clustering results can be compared, and several relatively good clustering results can be selected and the clustering results can be updated through optimization operations. Among them, the optimization operations can include numerical operations similar to gene inheritance such as replication, crossover, and mutation. After obtaining the updated clustering results, the performance attribute parameters of the primary power distribution system under the updated clustering results can be compared, and relatively good clustering results can be selected again and optimization operations can be performed again. Repeat the above steps until the performance attribute parameters of the primary power distribution system under the clustering results reach the preset conditions, such as the performance attributes reaching the optimum, and finally obtain the panel box groups corresponding to the clustering results.

[0082] Step 250: Based on the panel box groups corresponding to the target clustering results, determine the distribution panel boxes of the primary power distribution system.

[0083] Specifically, after determining the target clustering results with the optimal attribute performance information, the panel box components in the primary power distribution system are grouped according to the target clustering results to obtain multiple panel box groups, and each panel box group is used as a distribution panel box alone. Subsequently, the distribution devices of the primary power distribution system can be powered based on these distribution panel boxes.

[0084] In the above method for obtaining the distribution panel boxes of the primary power distribution system, the distribution devices of the primary power distribution system are divided into multiple panel box components, and then the panel box components are clustered to obtain clustering results to obtain panel box groups. According to the performance attribute parameters of each panel box component and the connection information between the panel box components, the performance attribute parameters of the primary power distribution system under the clustering results are obtained, and the clustering results are optimized with the performance attribute parameters of the primary power distribution system under the clustering results as the optimization goal to obtain the target clustering results; finally, based on the panel box groups corresponding to the target clustering results, the distribution panel boxes of the primary power distribution system are determined. By transforming the problem of distributing the distribution panel boxes of the aircraft primary power distribution system into a clustering problem of the distribution devices, it is possible to obtain the distribution panel boxes of the primary power distribution system in a quantitative analysis and optimization manner, effectively reducing the workload of obtaining the distribution panel boxes, and realizing the distribution panel box allocation of the distribution devices of the primary power distribution system in an optimal performance manner, thereby improving the system performance of the aircraft primary power distribution system.

[0085] In one embodiment, as Figure 5 shown, step 230 obtains the performance attribute parameters of the primary power distribution system under the clustering results according to the performance attribute parameters of each panel box component and the connection information between each panel box component, including:

[0086] Step 510: Obtain the performance attribute parameters of each chassis group according to the performance attribute parameters of each chassis component.

[0087] Among them, the performance attribute parameters of the chassis components include information such as failure rate, input voltage, output voltage, weight, volume, average loss, etc.; the performance attribute parameters of the chassis components can be determined according to the performance attribute parameters of each distribution device that makes up the chassis components. Similarly, for the performance attribute information of the chassis group, it can be determined according to each chassis component that makes up the chassis group. Specifically, the performance attribute parameters of the chassis group include information such as safety performance, weight, volume, and loss. Among them, the safety performance of the chassis group can be measured by the failure rate of the chassis components, that is, the sum of the failure rates of each chassis component that makes up the chassis group is determined as the safety performance of the chassis group. The sum of the volumes of each chassis component that makes up the chassis group can be determined as the volume of the chassis group. The weight of the chassis group corresponding to the cabinet body and the sum of the weights of each chassis component that makes up the chassis group are determined as the weight of the chassis group (wherein, the weight of the cabinet body can be determined according to the volume of the chassis group), and the sum of the volumes of each chassis component that makes up the chassis group is determined as the volume of the chassis group.

[0088] Specifically, in one embodiment, for any chassis group, its safety performance, weight, volume, and loss can be obtained through the following formula (3):

[0089]

[0090] Among them,

[0091] In the formula, N j represents the number of member individuals included in the jth chassis group, S C_j represents the safety performance of the jth chassis group, S e_i represents the failure rate of the ith chassis component in the chassis group, W C_j represents the weight of the jth chassis group, represents the weight of the cabinet body corresponding to the jth chassis group, k j is the ratio of the weight of the cabinet body of the jth chassis group to the volume of this chassis group, W e_i represents the weight of the ith chassis component in the chassis group, V C_j represents the volume of the jth chassis group, V e_i represents the volume of the ith chassis component in the chassis group, Pl C_j represents the loss of the jth chassis group, Pl e_i represents the loss of the ith chassis component in the chassis group.

[0092] Step 520: Determine the connection cable model between the cabinet components according to the connection information between the cabinet components.

[0093] Among them, the connection information between the cabinet components is used to describe the connection form between any two cabinet components. For example, whether any two cabinet components are connected, and information such as the current, input voltage, and output voltage between the two connected cabinet components. Therefore, based on this connection information, the server can determine the cable model between the cabinet components with a connection relationship. Specifically, the cabinet components with a connection relationship can be determined from the connection information, and based on the voltage information and current information between the cabinet components with a connection relationship, the performance information required for the cable connecting the cabinet components can be obtained, such as the voltage value and current value it bears, and then the cable model of the cable used can be determined; the connection information is matrix information as shown in Formula (1) and Formula (2). The server selects the cable model between the cabinet components with a connection relationship based on this connection information and the aviation current-carrying capacity standard SAE AS22759.

[0094] Step 530: Obtain the cable performance parameters according to the position information of each cabinet component, the connection information between the cabinet components, and the connection cable model.

[0095] Specifically, after obtaining the connection cable model, based on the connection information between each cabinet component, the cabinet components with a connection relationship are determined, and based on the position information of the cabinet components with a connection relationship and the connection cable model connecting the cabinet components with a connection relationship, the cable performance parameters in this primary power distribution system are obtained. Among them, the position information of the cabinet component is a design parameter of the primary power distribution system, which can be determined according to the position information of the distribution devices in the primary power distribution system. Specifically, the position information of the cabinet component includes coordinate information.

[0096] In one embodiment, Step 530 includes: obtaining the cable position information between the cabinet components with a connection relationship based on the position information of each cabinet component and the connection information between each cabinet component; obtaining the cable performance parameters according to the cable position information between the cabinet components with a connection relationship and the unit performance information of the cable corresponding to the connection cable model.

[0097] Since the cabin coordinates where the disk box components are installed in the aircraft often affect the cable layout, based on the connection information between each disk box component, the disk box components with a connection relationship are determined. After determining the disk box grouping, the position information of the disk box sub - disks is defined, and the position information of the disk box components is obtained. Furthermore, based on the position information of the disk box components with a connection relationship, combined with the wiring rules, the cable layout positions between the disk box components with a connection relationship, that is, the cable position information, are obtained. Finally, based on the connection cable models between the disk box components with a connection relationship, the unit performance information of the cable and the cable position information are determined, and the cable performance parameters of the cables between the disk box components with a connection relationship are obtained.

[0098] Taking the example that there is a connection relationship between disk box component m and disk box component n, according to the connection information, it can be determined that disk box component m and disk box component n have a connection relationship. Based on the current or voltage information between disk box component m and disk box component n described by the connection information, the connection cable model of the cable connecting disk box component m and disk box component n is determined, and then the unit performance information of the connection cable model is determined. In addition, based on the position information between disk box component m and disk box component n, the cable length L connecting disk box component m and disk box component n is confirmed. m,n , for example, the coordinate information of disk box component m is (x m , y m , z m ), and the coordinate information of disk box component n is (x n , y n , z n ). Assuming that the cable can only be laid along the coordinate axis direction, the length L m,n satisfies the following formula (4):

[0099] L m,n =|x m - x n | + |y m - yc| + |z m - z n | (4)

[0100] Further, in one embodiment, the connection information between the disk box components includes the current information between the disk box components. The unit performance information corresponding to the connection cable model for the cable includes the weight per unit length, the resistance per unit length, and the cross-sectional area. The cable performance parameters include the cable weight, the cable volume, and the cable loss. According to the cable position information between the disk box components with a connection relationship and the unit performance information corresponding to the connection cable model for the cable, the cable performance parameters are obtained, including: according to the cable position information between the disk box components with a connection relationship, the cable length between the disk box components with a connection relationship is obtained; according to the weight per unit length of the cable and the cable length, the cable weight is obtained; according to the cross-sectional area of the cable and the cable length, the cable volume is obtained; according to the resistance per unit length of the cable, the cable length, and the current information between the disk box components, the cable loss is obtained.

[0101] Specifically, the server obtains the cable length between the disk box components with a connection relationship according to the cable position information between the disk box components with a connection relationship, and then obtains the cable performance parameters based on the actual cable length. Still taking the example that there is a connection relationship between disk box component m and disk box component n, the unit performance information of the connection cable model connecting disk box component m and disk box component n are respectively the weight per unit length w m,n , the resistance per unit length r m,n , and the cross-sectional area s m,n , the cable length L m,n connecting disk box component m and disk box component n, and calculate the cable weight W m,n , the cable volume V m,n , and the cable loss Pl m,n of the cable connecting disk box component m and disk box component n, as shown in the following formula (5):

[0102]

[0103] Step 540: According to the performance attribute parameters of each disk box group and the cable performance parameters, obtain the performance attribute parameters of the primary power distribution system under the clustering result.

[0104] Among them, since the distribution electrical devices in the primary distribution system are divided into multiple panel box components, and the panel box components are divided into multiple panel box groups based on the clustering algorithm, the performance attribute parameters of the primary distribution system are related to the performance attribute parameters corresponding to each panel box group and the connection relationships between the panel box components. The server can calculate the performance attribute parameters of the primary distribution system based on the performance attribute parameters of each panel box group and the cable performance parameters. Specifically, the performance attribute parameters of the primary distribution system can be obtained according to the performance attribute parameters of each panel box group (i.e., the panel box component grouping result corresponding to the clustering result). In addition, since there are certain connection relationships among the panel box components, the cable performance parameters of the cables connecting the panel box components have an impact on the panel box groups and the primary distribution system. Therefore, it is necessary to consider the cable performance parameters of the cables connecting the panel box groups to improve the accuracy of the performance attribute parameters of the primary distribution system. Further, the performance attribute parameters of the primary distribution system include total failure rate, total weight, total volume, total loss, heat dissipation performance, and structural strength. Among them, the total failure rate is measured by the panel box group with the worst safety in each panel box group, the heat dissipation performance is measured by the average heat dissipation per unit volume of each panel box group. For the same box structure and material, the smaller the volume (surface area), the stronger its impact resistance. Therefore, the structural strength is measured by the maximum value of the panel box volume of each panel box group.

[0105] Specifically, in one embodiment, the cable performance parameters include cable weight, cable volume, and cable loss; the performance attribute parameters of the panel box group include panel box failure rate, panel box weight, panel box volume, and panel box loss; the performance attribute parameters of the primary distribution system include total failure rate, total weight, total volume, total loss, heat dissipation performance, and structural strength; according to the performance attribute parameters of each panel box group and the cable performance parameters, the performance attribute parameters of the primary distribution system under the clustering result are obtained, including: determining the panel box failure rate of the panel box group with the largest panel box failure rate as the total failure rate of the primary distribution system under the clustering result; determining the sum of the panel box weights of each panel box group and the cable weight as the total weight of the primary distribution system under the clustering result; determining the sum of the panel box volumes of each panel box group and the cable volume as the total volume of the primary distribution system under the clustering result; determining the sum of the panel box losses and the cable losses of each panel box group as the total loss of the primary distribution system under the clustering result; respectively obtaining the heat dissipation per unit volume of each panel box group according to the panel box volume and panel box loss of each panel box group, and determining the average value of the heat dissipation per unit volume of each panel box group as the heat dissipation performance of the primary distribution system under the clustering result; determining the panel box volume of the panel box group with the largest panel box volume as the structural strength of the primary distribution system under the clustering result.

[0106] Taking the clustering result to divide the tray components into N groups, that is, taking the case where there are N tray groupings under the clustering result as an example, the performance attribute parameters of the primary power distribution system can be obtained through the following formulas (6) to (11), and the specific formulas are as follows:

[0107] S = max{S C_j}, j = 1, …, N (6)

[0108]

[0109]

[0110]

[0111]

[0112] Ss ≈ max{V C_j}, j = 1, …, N (11)

[0113] Among them, S represents the total failure rate of the primary power distribution system, S C_j represents the safety performance of the j-th tray grouping, W represents the total weight of the primary power distribution system, W C_j represents the tray weight of the j-th tray grouping, W m,n represents the cable weight between tray components, V represents the total volume of the primary power distribution system, V C_j represents the tray volume of the j-th tray grouping, V m,n represents the cable volume between tray components, Pl represents the total loss of the primary power distribution system, Pl C_j the tray loss of the j-th tray grouping, Pl m,n represents the cable loss between tray components, Pp represents the heat dissipation performance of the primary power distribution system, and Ss represents the structural strength of the primary power distribution system.

[0114] In the above method for obtaining the performance attribute parameters of the primary power distribution system, the tray component grouping result corresponding to the clustering result is obtained, that is, the performance attribute parameters of the tray grouping, and the cable performance parameters of the cable connecting the tray groupings are taken into account. Based on the connection information between tray components, the cable performance attribute parameters of the connecting cables between tray components are obtained. Finally, the performance attribute parameters of the primary power distribution system under the clustering result are determined by the performance attribute parameters of the tray grouping and the cable performance parameters, effectively improving the accuracy of the performance attribute parameters of the power distribution system. When optimizing the clustering result based on the performance attribute parameters of the primary power distribution system subsequently, the performance attributes of the primary power distribution system corresponding to the clustering result are effectively improved, realizing the tray allocation of the distribution devices of the primary power distribution system in the most optimal way of performance, and improving the system performance of the primary power distribution system of the aircraft.

[0115] In one embodiment, the performance attribute parameters of the primary power distribution system include total failure rate, total weight, total volume, total loss, heat dissipation performance, and structural strength. Taking the performance attribute parameters of the primary power distribution system under the clustering result as the optimization objective, the clustering result is optimized to obtain the target clustering result, including: taking the total failure rate, total weight, total volume, total loss, heat dissipation performance, or structural strength as the target, and optimizing the clustering result based on the multi-objective evolutionary algorithm to obtain the target clustering result.

[0116] Among them, the server can compare the performance attribute parameters of the primary power distribution system under different clustering results, select several relatively good clustering results and update the clustering result through optimization operations. Among them, the optimization operations can include numerical operations similar to genetic inheritance such as replication, crossover, and mutation. After obtaining the updated clustering result, the server can compare the performance attribute parameters of the primary power distribution system under the updated clustering result, select relatively good clustering results again and perform optimization operations again. Repeat the above steps until the performance attribute parameters of the primary power distribution system under the clustering result reach the preset conditions. The preset conditions can include one or more of the following: the minimum total failure rate, the minimum total weight, the minimum total volume, the minimum total loss, the minimum heat dissipation performance, and the maximum structural strength. The finally obtained clustering result corresponds to the panel box grouping scheme of the primary power distribution system.

[0117] Specifically, as Figure 6 shown, after the primary power distribution system to be processed, the power distribution components of the primary power distribution system are divided into panel box components by the panel box component modeling module 610, and the attribute performance information and connection information of the panel box components are obtained based on the attribute performance information of the power distribution components, and the data model of the panel box components is constructed. Then, the panel box components are clustered based on the clustering algorithm to obtain the clustering result, and the performance attributes of the performance attribute parameters of the primary power distribution system are calculated based on the panel box clustering module 620. Specifically, the panel box clustering module 620 calculates and obtains the performance attribute parameters of the primary power distribution system based on the above formulas (1) to (11). Then, the clustering result is optimized by the multi-objective optimization module 630 to update the clustering result. Specifically, since there is a connection relationship between the distribution panel boxes of the primary power distribution system, the multi-objective optimization module 630 uses the above formula (5) and takes the following formula (12) as the objective function to optimize the clustering result:

[0118]

[0119] Then, the optimized clustering result is input into the panel box clustering module 620 again to obtain the performance attribute parameters of the primary power distribution system under the updated clustering result. Repeat the above steps until the performance attribute parameters of the primary power distribution system under a certain clustering result reach the preset conditions.

[0120] In one embodiment, a method for obtaining a distribution panel box of a primary power distribution system includes:

[0121] Step 1: Divide the power distribution devices of the primary power distribution system into multiple panel box components;

[0122] Step 2: Cluster the panel box components to obtain a clustering result, where the clustering result includes multiple panel box groups;

[0123] Step 2-1: Obtain the performance attribute parameters of each panel box group according to the performance attribute parameters of each panel box component;

[0124] Step 2-2: Determine the connection cable type between the panel box components according to the connection information between the panel box components;

[0125] Step 2-3: Obtain the cable performance parameters according to the position information of each panel box component, the connection information between each panel box component, and the connection cable type;

[0126] Step 2-4: Obtain the performance attribute parameters of the primary power distribution system under the clustering result according to the performance attribute parameters of each panel box group and the cable performance parameters.

[0127] Step 3: Obtain the performance attribute parameters of the primary power distribution system under the clustering result according to the performance attribute parameters of each panel box component and the connection information between each panel box component;

[0128] Step 4: Optimize the clustering result with the performance attribute parameters of the primary power distribution system under the clustering result as the optimization goal to obtain the target clustering result;

[0129] Step 5: Determine the distribution panel box of the primary power distribution system based on the panel box groups corresponding to the target clustering result.

[0130] Specifically, in combination with Figure 3 the primary power distribution system shown, the method for obtaining the distribution panel box of the above primary power distribution system is described as follows: As Figure 3 shown, the primary power distribution system has 3 270V high-voltage DC busbars and 2 28V low-voltage DC busbars, and performs redundant and fault-tolerant power supply through a network composed of switches, cables, and converters. Specifically, Figure 3 the information of the power distribution devices included in the primary power distribution system shown is as shown in Table 1 below:

[0131] Table 1

[0132]

[0133]

[0134] The server takes the bus bar and the power conversion device as the main body, and divides the distribution devices of the primary power distribution system into multiple panel box components according to the position information of the switching devices. The specific division of the panel box components is as shown in Figure 4 shown, and the performance attribute parameters of each panel box component are as shown in Table 2 below:

[0135] Table 2

[0136]

[0137] In addition, for the connection information between each panel box component, the connection information between each panel box component can be described by the following matrix (13):

[0138] C = [C m,n N×N (13)

[0139] where C m,n can be expressed as the following formula (14):

[0140]

[0141] where N represents the number of panel box components in the primary power distribution system, and I m-1→n-1 represents the current from the panel box part (m - 1) to the panel box component (n - 1).

[0142] Correspondingly, for the connection relationship between the panel box components shown in Figure 4 or Table 2, it can be expressed as the following matrix (15):

[0143]

[0144] After dividing the distribution devices of the primary power distribution system into multiple panel box components, the panel box components can be clustered to obtain the grouping situation of the panel box components, and the panel box grouping is obtained. By transforming the panel box allocation problem of the aircraft primary power distribution system into a clustering problem of the panel box components, each panel box is a clustering collective, and by obtaining the optimal solution of this clustering problem, the best panel box allocation scheme can be obtained. For example, for the 7 panel box components shown in Figure 4 and Table 2, the server clusters these 7 panel box components to obtain the panel box grouping. It can be understood that the performance attribute parameters of any panel box grouping can be obtained by the following formula (16):

[0145]

[0146] where

[0147] In the formula, N j represents the number of member individuals included in the jth panel box grouping, and S C_j ​Represents the safety performance of the j-th disk box group, S e_i Represents the failure rate of the i-th disk box component in the disk box group, W C_j Represents the weight of the j-th disk box group Represents the weight of the box corresponding to the j-th disk box group, k j Is the ratio of the box weight of the j-th disk box group to the volume of this disk box group, W e_i Represents the weight of the i-th disk box component in the disk box group, V C_j Represents the volume of the j-th disk box group, V e_i Represents the volume of the i-th disk box component in the disk box group, Pl C_j Represents the loss of the j-th disk box group, Pl e_i Represents the loss of the i-th disk box component in the disk box group

[0148] Since there is a certain connection relationship between each disk box component and there are certain cables between each disk box component, and the cable model and cable layout of the cables will affect the performance attribute parameters of the primary power distribution system. Therefore, it is necessary to determine the cable model between two disk box components with a connection relationship according to the connection information of the above matrix (15) and the aviation current-carrying capacity standard SAE AS22759. After determining the cable model between the disk box components, further obtain the unit performance attribute parameters of the cable corresponding to this cable model, such as the weight per unit length w m,n , the resistance per unit length r m,n and the cross-sectional area s m,n . Further, the disk box group (i.e., the division of disk box components) corresponds to the final distribution switchboard design of the primary power distribution system. The position of the disk box group often affects the position of the disk box components. Therefore, after determining the disk box group corresponding to the clustering result, it is necessary to define and obtain the position information of the disk box group, and determine the position information of the disk box components based on the position information of the disk box group. Furthermore, determine the cable layout based on the position information of the disk box components, that is, combine the coordinate information of the disk box group and the wiring rules to determine the cable length L between two disk box components with a connection relationship m,n , taking the example that the cable is only laid along the coordinate axis direction, then the length L m,n and the coordinates (x m , y m , z m ) and (x n , y n , z n ) of the clustering member individuals m and n satisfy the following formula (17)

[0149] L m,n =|x m -x n |+|y m -yn |+|z m -z n | (17)

[0150] After determining the cable length L between the disk box components m,n and the unit performance attribute parameters of the cable corresponding to the cable model, the cable performance parameters can be determined based on the following formula (18), specifically including the cable weight W of the cable m,n , the cable volume V m,n and the cable loss Pl m,n . It can be understood that this formula (18) serves as the objective function of the subsequent multi-objective optimization algorithm.

[0151]

[0152] After obtaining the performance attribute parameters of each disk box group and the cable performance parameters between the disk box components, the performance attribute parameters of the primary power distribution system are determined based on the two. Specifically, the performance attribute parameters of the primary power distribution system include the failure rate S, the total weight W, the total volume V, the total loss Pl, the heat dissipation performance Pp, and the structural strength Ss. Assuming that a certain clustering result includes N disk box groups, the performance attribute parameters of the primary power distribution system are shown in the following formula (19):

[0153]

[0154] In the process of optimizing the clustering result with the performance attribute parameters of the primary power distribution system under the clustering result as the optimization objective, the optimization is carried out with the optimal performance attribute parameters of the primary power distribution system as the goal. Specifically, the weight, volume, heat dissipation ability, structural strength, safety, etc. of the primary power distribution system are optimized based on the multi-objective optimization algorithm. Based on the optimization of different performance attribute parameters, different clustering results can be obtained. For example Figure 3 taking the primary power distribution system shown as an example, using the multi-objective optimization algorithm to optimize the clustering result, 8 groups of clustering results can be obtained, as shown in Figure 7 shown, Figure 7It is a schematic diagram of the performance attribute parameters of the primary distribution system under 8 groups of clustering results respectively. As shown in Table 3, Table 3 gives 3 groups out of the above 8 groups of clustering results as examples. Among them, in the first group of clustering results, there are 2 groups of panel box groupings. Panel box component 1, panel box component 2, panel box component 3, panel box component 6, and panel box component 7 form a group of panel box groupings, and panel box component 4 and panel box component 5 form a group of panel box groupings; in the second group of clustering results, there are 4 groups of panel box groupings. Panel box component 1, panel box component 2, and panel box component 3 form a group of panel box groupings, panel box component 4 and panel box component 5 form a group of panel box groupings, panel box component 6 is alone as a group of panel box groupings, and panel box component 7 is alone as a group of panel box groupings; in the third group of clustering results, there are 3 groups of panel box groupings. Panel box component 1, panel box component 4, and panel box component 6 form a group of panel box groupings, panel box component 2, panel box component 5, and panel box component 4 form a group of panel box groupings, and panel box component 3 is alone as a group of panel box groupings. It can be seen that the first group of clustering results has the smallest weight, volume, and loss, but its structural strength is low and its shock resistance ability is poor; in contrast, the third group of clustering results has the best structural strength, and its other performances are slightly worse, and it can be used as the final solution.

[0155] Table 3

[0156]

[0157]

[0158] Therefore, for the primary distribution system as shown in Figure 3 , the corresponding panel box groupings of the third group of clustering results can be used as the target panel box groupings, that is, Figure 3 The distribution electric box allocation result of the described primary distribution system is specifically as shown in Figure 8 , including distribution panel box 810, distribution panel box 820, and distribution panel box 830.

[0159] It should be understood that although each step in the flowchart of Figure 2 or Figure 3 is shown in sequence according to the indication of the arrow, these steps are not necessarily executed in the order indicated by the arrow. Unless there is a clear description in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, Figure 2 or Figure 3 at least a part of the steps in can include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same moment, but can be executed at different moments. The execution order of these steps or stages is not necessarily sequential either, but can be executed alternately or in turn with at least a part of the steps or stages in other steps or other steps.

[0160] In one embodiment, as shown inFigure 9 As shown, a power distribution device 900 for a primary power distribution system is provided, including: a switchboard component acquisition module 910, a switchboard component acquisition module 920, and a switchboard component acquisition module 930, where:

[0161] The switchboard component acquisition module 910 is used to divide the power distribution devices of the primary power distribution system into multiple switchboard components;

[0162] The switchboard component clustering module 920 is used to cluster the switchboard components to obtain a clustering result, and the clustering result includes multiple switchboard groups;

[0163] The performance attribute parameter acquisition module 930 obtains the performance attribute parameters of the primary power distribution system under the clustering result according to the performance attribute parameters of each switchboard component and the connection information between the switchboard components;

[0164] The clustering result optimization module 940 is used to optimize the clustering result with the performance attribute parameters of the primary power distribution system under the clustering result as the optimization target to obtain a target clustering result;

[0165] The switchboard acquisition module 950 is used to determine the switchboard of the primary power distribution system based on the switchboard groups corresponding to the target clustering result.

[0166] In one embodiment, the performance attribute parameter acquisition module 930 is specifically used to: obtain the performance attribute parameters of each switchboard group according to the performance attribute parameters of each switchboard component; determine the connection cable model between the switchboard components according to the connection information between the switchboard components; obtain the cable performance parameters according to the position information of each switchboard component, the connection information between the switchboard components, and the connection cable model; obtain the performance attribute parameters of the primary power distribution system under the clustering result according to the performance attribute parameters of each switchboard group and the cable performance parameters.

[0167] In one embodiment, the performance attribute parameter acquisition module 930 is specifically used to: obtain the cable position information between the switchboard components with a connection relationship based on the position information of each switchboard component and the connection information between the switchboard components; obtain the cable performance parameters according to the cable position information between the switchboard components with a connection relationship and the unit performance information of the cable corresponding to the connection cable model.

[0168] In one embodiment, the connection information between the disk box components includes the current information between the disk box components. The unit performance information of the connection cable model corresponding to the cable includes the weight per unit length, the resistance per unit length, and the cross-sectional area. The cable performance parameters include the cable weight, the cable volume, and the cable loss. The performance attribute parameter acquisition module 930 is specifically configured to: obtain the cable length between the disk box components with a connection relationship according to the cable position information between the disk box components with a connection relationship; obtain the cable weight according to the weight per unit length of the cable and the cable length; obtain the cable volume according to the cross-sectional area of the cable and the cable length; and obtain the cable loss according to the resistance per unit length of the cable, the cable length, and the current information between the disk box components.

[0169] In one embodiment, the cable performance parameters include the cable weight, the cable volume, and the cable loss. The performance attribute parameters of the disk box grouping include the disk box failure rate, the disk box weight, the disk box volume, and the disk box loss. The performance attribute parameters of the primary power distribution system include the total failure rate, the total weight, the total volume, the total loss, the heat dissipation performance, and the structural strength. The performance attribute parameter acquisition module 930 is specifically configured to: determine the total failure rate of the primary power distribution system under the clustering result as the disk box failure rate of the disk box grouping with the maximum disk box failure rate; determine the total weight of the primary power distribution system under the clustering result as the sum of the disk box weights of each disk box grouping and the cable weight; determine the total volume of the primary power distribution system under the clustering result as the sum of the disk box volumes and the cable volumes of each disk box grouping; determine the total loss of the primary power distribution system under the clustering result as the sum of the disk box losses and the cable losses of each disk box grouping; obtain the heat dissipation amount per unit volume of each disk box grouping according to the disk box volume and the disk box loss of each disk box grouping, and determine the heat dissipation performance of the primary power distribution system under the clustering result as the average value of the heat dissipation amounts per unit volume of each disk box grouping; and determine the structural strength of the primary power distribution system under the clustering result as the disk box volume of the disk box grouping with the largest disk box volume.

[0170] In one embodiment, the distribution devices of the primary power distribution system include switching devices, busbars, and power conversion devices. The disk box component acquisition module 910 is specifically configured to: take the busbars and power conversion devices as the main bodies, and divide the distribution devices of the primary power distribution system into multiple disk box components according to the position information of the switching devices.

[0171] In one embodiment, the performance attribute parameters of the primary power distribution system include the total failure rate, the total weight, the total volume, the total loss, the heat dissipation performance, and the structural strength. The clustering result optimization module 940 is specifically configured to: use the total failure rate, the total weight, the total volume, the total loss, the heat dissipation performance, or the structural strength as the optimization target, and optimize the clustering result based on a multi-objective evolutionary algorithm to obtain the target clustering result.

[0172] For the specific limitations on the distribution board box acquisition device of the primary power distribution system, reference can be made to the limitations on the distribution board box acquisition method of the primary power distribution system in the above text, which will not be elaborated here. Each module in the above-mentioned distribution board box acquisition device of the primary power distribution system can be implemented in whole or in part by software, hardware, and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above-mentioned modules.

[0173] In one embodiment, a computer device is provided. The computer device can be a server, and its internal structure diagram can be as Figure 10 shown. The computer device includes a processor, a memory, and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data such as distribution electrical devices of the primary power distribution system. The network interface of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor, it implements a method for acquiring a distribution board box of a primary power distribution system. Those skilled in the art can understand that Figure 10 the structure shown in

[0174] In some embodiments of the present application, a computer device is provided, including one or more processors; a memory; and one or more application programs, where one or more application programs are stored in the memory and configured to be executed by the processor to perform the steps of the above-mentioned offline service invocation method. The steps of the offline service invocation method here can be the steps in the offline service invocation methods of the above-mentioned various embodiments.

[0175] In some embodiments of the present application, a computer-readable storage medium is provided, storing a computer program, and the computer program is loaded by the processor, so that the processor performs the steps of the above-mentioned offline service invocation method. The steps of the offline service invocation method here can be the steps in the offline service invocation methods of the above-mentioned various embodiments.

[0176] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0177] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, 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, it should be considered as the scope recorded in this specification.

[0178] The above-described embodiments merely represent several implementation manners of the present application. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the appended claims.

Claims

1. A method for obtaining a distribution board box of a primary distribution system, characterized in that, The method includes: Dividing the distribution devices of the primary power distribution system into multiple panel box components; Clustering the panel box components to obtain a clustering result, where the clustering result includes multiple panel box groups; According to the performance attribute parameters of each panel box component and the connection information between the panel box components, obtaining the performance attribute parameters of the primary power distribution system under the clustering result; Taking the performance attribute parameters of the primary power distribution system under the clustering result as an optimization target, optimizing the clustering result to obtain a target clustering result; Based on the panel box groups corresponding to the target clustering result, determining the distribution panel boxes of the primary power distribution system; Wherein, the distribution devices of the primary power distribution system include switching devices, busbars, and power conversion devices, and the step of dividing the distribution devices of the primary power distribution system into multiple panel box components includes: taking the busbars and the power conversion devices as the main bodies, and dividing the distribution devices of the primary power distribution system into multiple panel box components according to the position information of the switching devices.

2. The method according to claim 1, wherein The obtaining the performance attribute parameters of the primary power distribution system under the clustering result according to the performance attribute parameters of each panel box component and the connection information between the panel box components includes: According to the performance attribute parameters of each panel box component, obtaining the performance attribute parameters of each panel box group; Determining the connection cable types between the panel box components according to the connection information between the panel box components; According to the position information of each panel box component, the connection information between the panel box components, and the connection cable types, obtaining cable performance parameters; According to the performance attribute parameters of each panel box group and the cable performance parameters, obtaining the performance attribute parameters of the primary power distribution system under the clustering result.

3. The method according to claim 2, wherein The obtaining the cable performance parameters according to the position information of each panel box component, the connection information between the panel box components, and the connection cable types includes: Based on the position information of each panel box component and the connection information between the panel box components, obtaining the cable position information between the panel box components with a connection relationship; According to the cable position information between the panel box components with a connection relationship and the unit performance information of the cable corresponding to the connection cable type, obtaining the cable performance parameters.

4. The method according to claim 3, wherein The connection information between the panel box components includes the current information between the panel box components, the unit performance information of the cable corresponding to the connection cable type includes the weight per unit length, the resistance per unit length, and the cross-sectional area; the cable performance parameters include the cable weight, the cable volume, and the cable loss. The obtaining the cable performance parameters according to the cable position information between the panel box components with a connection relationship and the unit performance information of the cable corresponding to the connection cable type includes: According to the cable position information between the panel box components with a connection relationship, obtaining the cable length between the panel box components with a connection relationship; According to the weight per unit length of the cable and the cable length, obtaining the cable weight; According to the cross-sectional area of the cable and the cable length, obtaining the cable volume; According to the resistance per unit length of the cable, the cable length, and the current information between the panel box components, obtaining the cable loss.

5. The method according to claim 2, wherein The cable performance parameters include cable weight, cable volume, and cable loss; the performance attribute parameters of the panel box groups include panel box failure rate, panel box weight, panel box volume, and panel box loss; the performance attribute parameters of the primary power distribution system include, but are not limited to, total failure rate, total weight, total volume, total loss, heat dissipation performance, and structural strength; Obtaining the performance attribute parameters of the primary power distribution system under the clustering result according to the performance attribute parameters of each panel box group and the cable performance parameters includes: Determining the panel box failure rate of the panel box group with the highest panel box failure rate as the total failure rate of the primary power distribution system under the clustering result; Determining the sum of the panel box weights of each panel box group and the cable weight as the total weight of the primary power distribution system under the clustering result; Determining the sum of the panel box volumes of each panel box group and the cable volume as the total volume of the primary power distribution system under the clustering result; Determining the sum of the panel box losses of each panel box group and the cable loss as the total loss of the primary power distribution system under the clustering result; Respectively obtaining the heat dissipation amount per unit volume of each panel box group according to the panel box volume and panel box loss of each panel box group, and determining the average value of the heat dissipation amount per unit volume of each panel box group as the heat dissipation performance of the primary power distribution system under the clustering result; Determining the panel box volume of the panel box group with the largest panel box volume as the structural strength of the primary power distribution system under the clustering result.

6. The method according to claim 1, characterized in that The performance attribute parameters of the primary power distribution system include total failure rate, total weight, total volume, total loss, heat dissipation performance, and structural strength; Optimizing the clustering result with the performance attribute parameters of the primary power distribution system under the clustering result as the optimization objective to obtain the target clustering result, including: Taking at least one of the total failure rate, total weight, total volume, total loss, heat dissipation performance, and structural strength as the optimization objective, and optimizing the clustering result based on the multi-objective evolutionary algorithm to obtain the target clustering result.

7. A distribution panel box acquisition device for a primary power distribution system, characterized in that, The device includes: A panel box component acquisition module, configured to divide the power distribution devices of the primary power distribution system into multiple panel box components, where the power distribution devices of the primary power distribution system include switching devices, busbars, and power conversion devices, and specifically dividing the power distribution devices of the primary power distribution system into multiple panel box components with the busbars and the power conversion devices as the main bodies according to the position information of the switching devices; A panel box component clustering module, configured to cluster the panel box components to obtain a clustering result, where the clustering result includes multiple panel box groups; A performance attribute parameter acquisition module, configured to obtain the performance attribute parameters of the primary power distribution system under the clustering result according to the performance attribute parameters of each panel box component and the connection information between the panel box components; A clustering result optimization module, configured to optimize the clustering result with the performance attribute parameters of the primary power distribution system under the clustering result as the optimization objective to obtain the target clustering result; A distribution board box acquisition module, configured to determine the distribution board boxes of the primary power distribution system based on the box grouping corresponding to the target clustering result.

8. A computer device, characterized in that, The computer device includes: One or more processors; A memory; and One or more applications, where one or more applications are stored in the memory and configured to be executed by the processor to implement the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, A computer program is stored thereon, and the computer program is loaded by the processor to execute the steps of the method according to any one of claims 1 to 6.

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