Macromolecular long chain-like power equipment supply chain toughness evaluation method and system

Abstract

The invention discloses a method and a system for evaluating the toughness of a supply chain of macromolecular long-chain-like power equipment, and belongs to the technical field of power equipment and supply chains thereof. The method comprises the following steps: on the basis of data of all enterprises in a supply chain and data of upstream and downstream relationships among all the enterprises, taking all the enterprises in the supply chain as single molecules so as to initialize the supply chain into a macromolecular long chain; and evaluating the toughness of the supply chain by evaluating the main chain in the macromolecular long chain. According to the method, the power equipment supply chain is creatively simulated into the organic polymer, so that the toughness of the supply chain is further evaluated by further evaluating the main chain in the polymer long chain. As is well known, each molecule in a main chain of an organic polymer belongs to a strong chemical bonding effect, so that the solution for evaluating the toughness of the power equipment supply chain, disclosed by the invention, has better toughness in the aspect of mechanism compared with a bionic algorithm represented by a deer group.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power equipment and its supply chain, and more particularly, to a macromolecule-like long-chain power equipment supply chain resilience evaluation method and system. BACKGROUND

[0002] For the power system, any disruptive impact caused by the fluctuation of the power equipment supply chain has extremely negative impact on the stability of the power system.

[0003] In the prior art of general supply chain resilience evaluation, the invention authorized patent with the authorization announcement number CN119740760B protects a supply chain resilience evaluation method based on artificial intelligence, which mainly adopts the technical means of converting time series data into Gramian angle field image data and the bionic technical means of lek optimization algorithm to evaluate the resilience of the supply chain.

[0004] The bionic technical means of lek optimization algorithm in the above-mentioned prior art considers that the lek optimization algorithm corresponds to the real animal group evolved due to natural reasons such as natural enemies, however, the real lek group always has the situation of falling behind and being killed by natural enemies, this algorithm regards the supply chain as a lek group, and the resilience is not enough to be widely applicable to the power system, and for the power equipment supply chain for ensuring the stability of the power system, the evaluation effect cannot sufficiently ensure the protection of the power equipment supply chain. SUMMARY

[0005] In view of the above problems, there is an urgent need in the technical field to develop a new technical solution specially applicable to the resilience evaluation of the power equipment supply chain, therefore, the present application proposes a macromolecule-like long-chain power equipment supply chain resilience evaluation method, which comprises:

[0006] Based on the data of all enterprises in the supply chain and the data of the upstream and downstream relationships between all enterprises, all enterprises in the supply chain are regarded as a single molecule, and the supply chain is initialized as a macromolecule long chain;

[0007] The resilience of the supply chain is evaluated by evaluating the main chain in the macromolecule long chain.

[0008] Optionally, the resilience of the supply chain is evaluated by determining the properties of the main chain.

[0009] Optionally, the resilience of the supply chain is evaluated by the changes of each enterprise on the main chain.

[0010] Optionally, the branch chain composed of the most molecules is taken as the main chain of the supply chain; or,

[0011] The longest branch chain from the upstream enterprise to the downstream enterprise in the whole supply chain is taken as the main chain in the supply chain.

[0012] Optionally, the property of the main chain is determined by the bond length and bond angle between all molecules on the main chain.

[0013] In another aspect, the present application further provides a macromolecular long-chain-like power equipment supply chain resilience evaluation system, comprising:

[0014] An initialization unit is configured to initialize all enterprises in the supply chain as single molecules based on the data of all enterprises in the supply chain and the data of upstream and downstream relationships between all enterprises, and initialize the supply chain as a macromolecular long chain.

[0015] An evaluation unit is configured to evaluate the resilience of the supply chain by evaluating the main chain in the macromolecular long chain.

[0016] Optionally, the resilience of the supply chain is evaluated by determining the property of the main chain.

[0017] Optionally, the resilience of the supply chain is evaluated by the changes of each enterprise on the main chain.

[0018] Optionally, the branch chain composed of the most molecules is taken as the main chain of the supply chain; or,

[0019] The longest branch chain from an upstream enterprise to a downstream enterprise in the entire supply chain is taken as the main chain of the supply chain.

[0020] Optionally, the property of the main chain is determined by the bond length and bond angle between all molecules on the main chain.

[0021] In another aspect, the present application further provides a computing device, comprising: one or more processors;

[0022] The processor is configured to execute one or more programs.

[0023] When the one or more programs are executed by the one or more processors, the method as described above is implemented.

[0024] In another aspect, the present application further provides a computer readable storage medium having a computer program stored thereon, wherein the computer program is executed to implement the method as described above.

[0025] Compared with the prior art, the present application has the following beneficial effects:

[0026] This invention proposes a method for assessing the resilience of a power equipment supply chain based on a polymer-like long chain. The method includes: treating all enterprises in the supply chain as individual molecules, thus initializing the supply chain as a polymer-like long chain; and evaluating the main chain within this polymer-like long chain to assess the resilience of the supply chain. This invention simulates the power equipment supply chain as an organic polymer, thereby further assessing its resilience by evaluating the main chain within this polymer-like long chain. As is well known, the molecules in the main chain of an organic polymer exhibit strong chemical bonding; therefore, the power equipment supply chain resilience assessment solution disclosed in this invention, from a mechanistic perspective, possesses better resilience than biomimetic algorithms represented by deer herds. Attached Figure Description

[0027] Figure 1 This is a schematic diagram of the structure of an organic polymer;

[0028] Figure 2 This is a schematic flowchart of the method for assessing the resilience of the power equipment supply chain based on polymer-like long chains, as described in one embodiment of the present invention.

[0029] Figure 3 This is a schematic diagram of the structure of the power equipment supply chain resilience assessment system with polymer-like long chains, as described in another embodiment of the present invention.

[0030] Figure 4 This is a supply chain structure diagram of a certain power equipment product in another embodiment of the present invention;

[0031] Figure 5 for Figure 4 In the corresponding embodiment, a histogram showing the distribution of resilience quantification values ​​for each branch of the supply chain. Detailed Implementation

[0032] Exemplary embodiments of the invention will now be described with reference to the accompanying drawings. However, the invention may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided to fully and completely disclose the invention and to fully convey its scope to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the drawings is not intended to limit the invention. In the drawings, the same units / elements are referred to by the same reference numerals.

[0033] Unless otherwise stated, the terms used herein (including technical terms) have their common meaning as understood by one of ordinary skill in the art. Furthermore, it is understood that terms defined in commonly used dictionaries should be understood to have a meaning consistent with the context of their relevant field, and not to be interpreted as having an idealized or overly formal meaning.

[0034] To facilitate understanding of the embodiments of the present invention, further explanations and descriptions will be provided below with reference to the accompanying drawings and specific embodiments. The accompanying drawings do not constitute a limitation on the embodiments of the present invention.

[0035] See Figure 1 , Figure 2 In one embodiment, the present invention proposes a method for assessing the resilience of a power equipment supply chain resembling long polymer chains, the method comprising the following steps:

[0036] Based on data from all enterprises in the supply chain and data on the upstream and downstream relationships between all enterprises, all enterprises in the supply chain are treated as individual molecules to initialize the supply chain as a long polymer chain.

[0037] The resilience of the supply chain is assessed by evaluating the main chain in the polymer long chain.

[0038] In another embodiment,

[0039] The resilience of the supply chain is assessed by determining the nature of the main chain.

[0040] In another embodiment,

[0041] The properties of the main chain are determined by the bond lengths and bond angles between all molecules in the main chain.

[0042] In another embodiment,

[0043] The resilience of the supply chain is assessed by examining changes in various enterprises on the main chain.

[0044] In another embodiment,

[0045] The branch chain with the most constituent molecules serves as the main chain of the supply chain; or...

[0046] The longest branch in the entire supply chain, from upstream to downstream enterprises, is taken as the main chain in the supply chain.

[0047] In addition, see Figure 3 In another embodiment, the present invention also discloses a supply chain resilience assessment system for polymer-like long chains, comprising:

[0048] An initialization unit is used to: treat all enterprises in the supply chain as individual molecules based on data of all enterprises in the supply chain and data on the upstream and downstream relationships between all enterprises, so as to initialize the supply chain as a long polymer chain;

[0049] An evaluation unit is used to assess the resilience of the supply chain by evaluating the main chain in the long polymer chain.

[0050] In another embodiment,

[0051] The assessment unit is used to assess the resilience of the supply chain by determining the properties of the main chain.

[0052] In another embodiment,

[0053] The assessment unit is used to assess the resilience of the supply chain by observing changes in various enterprises on the main chain.

[0054] In another embodiment,

[0055] The branch chain with the most constituent molecules serves as the main chain of the supply chain; or...

[0056] The longest branch in the entire supply chain, from upstream to downstream enterprises, is taken as the main chain in the supply chain.

[0057] In another embodiment,

[0058] The evaluation unit is used to determine the properties of the main chain by measuring the bond lengths and bond angles between all molecules on the main chain.

[0059] In another embodiment, the resilience quantification value R of any chain in the supply chain, including the main chain and all branch chains, is expressed by the following formula:

[0060]

[0061] in,

[0062] A quantified value of resilience defined for upstream, midstream, and downstream enterprises in any chain;

[0063] a i b j c k d m These are two different companies;

[0064] These represent the material supply weights between two upstream enterprises, two midstream enterprises, and two downstream enterprises, respectively. It can be observed that a, b, c, and d represent different enterprise types, with the total number of type a enterprises being A, type b enterprises being B, type c enterprises being C, and type d enterprises being D. The values ​​of i, j, k, and m range from 1 to their corresponding values ​​A, B, C, and D, respectively. It is understandable that all... The sum of all is 1. The sum of all is 1. The sum of is 1.

[0065] For the main chain's resilience quantification value R, when a i b j ck d m When considering different companies, for example, the values ​​of i, j, k, and m vary, thus corresponding to different specific companies, resulting in a set of quantitative values ​​R for the resilience of the main chain:

[0066] In another embodiment,

[0067] The maximum value in the set of values ​​for determining the resilience quantization R of the main chain.

[0068] Referring to the stated maximum value, at least one or more other enterprises in the main chain are aligned with that maximum value. At least one or more companies in the supply chain will form supply chain partnerships to further enhance the resilience of the supply chain.

[0069] In another embodiment,

[0070] The maximum value of the parameter ensures that at least one or more enterprises in the remaining side chains besides the main chain are related to that maximum value. At least one or more companies in the supply chain will form supply chain partnerships to further enhance the resilience of the supply chain.

[0071] In another embodiment,

[0072] for Any weight in the formula shall include at least subjective weights based on experts and objective weights based on data-driven factors.

[0073] For any two firms, i and j, the material supply weight w between them is... ij According to subjective weighting and objective weighting, we have:

[0074]

[0075] in,

[0076] This represents the subjective weight of the k-th factor, where k ranges from 1 to the number of all subjective weight factors, m.

[0077] This represents the value of the k-th factor in the supply chain segment i → j;

[0078] This represents the objective weight of the k-th factor;

[0079] , represents the dynamic coefficient, which ranges from [0,1] and represents the balance ratio between subjective weight and objective weight.

[0080] It should be noted that the weights between each pair of companies are... Analogous to the bond length and bond angle between any two molecules.

[0081] In another embodiment, when the supply chain is in a stable environment, α is set to 0.7. That is, in this case, expert experience is emphasized.

[0082] In another embodiment, when the supply chain is in an abnormal environment, such as when an uncontrollable event such as an epidemic or earthquake occurs, the value of α is 0.3. That is, in this case, the focus is on objective data-driven approaches.

[0083] In another embodiment,

[0084] This represents the value of the k-th factor in the supply chain segment i -> j. The determination can be made by considering the k-th factor (such as the timeliness of supply, the quality of supplied materials or equipment, cost, etc.) and scoring it based on expert ratings between 0 and 100%. The value can be, for example, 0.5; or it can be determined based on the collected historical supply data of each enterprise after normalization. The value is, for example, 0.4.

[0085] In another embodiment,

[0086] When uncontrollable events such as plagues or earthquakes occur... The value is determined by renormalizing the historical supply data of each enterprise collected over a recent period, such as one month, one quarter, or half a year. The value is set to enable dynamic updates and to handle abnormal environments, such as 0.3 after the update.

[0087] In another embodiment, see Figure 4 , Figure 4 This is a supply chain structure diagram for a certain type of power equipment product. Vertically, from left to right, it includes a series of companies with multiple nodes, such as Node 1, which represents company 1 belonging to the first category (i.e., Node 1). Based on the weight calculation results in Tables 1 to 7 below, the main supply chain is determined as: Node 1 Company 2 -> Node 2 Company 1 -> Node 3 Company 4 -> Node 4 Company 4 -> Node 5 Company 1 -> Node 6 Company 3 -> Node 7 Company 4 -> Node 8 Company 9. The corresponding supply resilience quantification value is the highest in the entire supply chain network, at 4.20571. Therefore, further combining... Figure 5It can be observed that the number of highly resilient supply chains with a resilience index exceeding 4 is relatively small, with only 17; the number of supply chains with a resilience index exceeding 3 is also not high, at 1.55%; the vast majority of supply chains have a resilience index of less than 3, and the average resilience of the overall supply network is approximately 1.81. Considering all these factors, it is evident that the supply chain is currently relatively stable.

[0088] Table 1. Weight Distribution of Enterprises at Node 1 and Node 2

[0089]

[0090] Table 2 Weight Distribution of Enterprises at Node 2 and Node 3

[0091]

[0092] Table 3: Weight Distribution of Enterprises at Node 3 and Node 4

[0093]

[0094] Table 4: Weight Distribution of Enterprises at Node 4 and Node 5

[0095]

[0096] Table 5: Weight Distribution of Enterprises at Node 5 and Node 6

[0097]

[0098] Table 6 shows the weight distribution of enterprises at nodes 6 and 7.

[0099]

[0100] Table 7 Weight Distribution of Enterprises at Node 7 and Node 8

[0101]

[0102] Based on the same inventive concept, this invention also provides a computer device, which includes a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement corresponding method flows or corresponding functions, thereby implementing the steps of the methods in the above embodiments.

[0103] Based on the same inventive concept, this invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the method in the above embodiments.

[0104] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention can be implemented using various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0105] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0106] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0107] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0108] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0109] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for assessing the resilience of a power equipment supply chain of a polymer-like long chain, characterized by, comprises: all the enterprises in the supply chain as single molecules based on data of all the enterprises in the supply chain and data of upstream and downstream relationships between all the enterprises, to initialize the supply chain as a high-molecular long chain; by evaluating a main chain in the high-molecular long chain, to evaluate the resilience of the supply chain.

2. The macromolecular long-chain-like power equipment supply chain resilience assessment method according to claim 1, characterized in that, by determining the properties of the main chain, to evaluate the resilience of the supply chain.

3. The macromonomer-like long-chain power supply chain resilience assessment method according to claim 1, characterized in that, by changes of each enterprise on the main chain, to evaluate the resilience of the supply chain.

4. The macromonomer-like long-chain power supply chain resilience assessment method according to claim 1, characterized by, the branch chain composed of the most molecules as the main chain of the supply chain; or, the longest branch chain from an upstream enterprise to a downstream enterprise in the whole supply chain as the main chain in the supply chain.

5. The macromonomer-like long-chain power supply chain resilience assessment method according to claim 1, characterized by, by the bond length and bond angle between all the molecules on the main chain, to determine the properties of the main chain.

6. A polymer-like long chain power equipment supply chain resilience assessment system, characterized by, comprises: an initialization unit, configured to initialize all the enterprises in the supply chain as single molecules based on data of all the enterprises in the supply chain and data of upstream and downstream relationships between all the enterprises, to initialize the supply chain as a high-molecular long chain; an evaluation unit, configured to evaluate a main chain in the high-molecular long chain, to evaluate the resilience of the supply chain.

7. The macromonomer-like long-chain power equipment supply chain resilience assessment system according to claim 6, wherein, by determining the properties of the main chain, to evaluate the resilience of the supply chain.

8. The macromonomer-like long-chain power equipment supply chain resilience assessment system according to claim 6, wherein, by changes of each enterprise on the main chain, to evaluate the resilience of the supply chain.

9. The macromonomer-like long-chain power equipment supply chain resilience assessment system according to claim 6, wherein, the branch chain composed of the most molecules as the main chain of the supply chain; or, the longest branch chain from an upstream enterprise to a downstream enterprise in the whole supply chain as the main chain in the supply chain.

10. The macromonomer-like long-chain power equipment supply chain resilience assessment system of claim 6, wherein, by the bond length and bond angle between all the molecules on the main chain, to determine the properties of the main chain.

11. A computer device, comprising: comprises: one or more processors; a processor configured to execute one or more programs; when the one or more programs are executed by the one or more processors, the method as claimed in any one of claims 1-5 is implemented.

12. A computer-readable storage medium, characterized in that, a computer program is stored thereon, and when the computer program is executed, the method as claimed in any one of claims 1-5 is implemented.

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