A wind power material matching method and system based on multi-information fusion

Abstract

The present invention is applicable to the computer field, and provides a wind power material matching method and system based on multivariate information fusion, the method comprising: obtaining multiple dimensional data of spare parts and materials used in sub-regions; performing similarity gradient classification on the spare parts and materials according to the weights of the multiple dimensional data, and generating ladder spare parts and materials data containing at least two staggered sub-ladder spare parts and materials data; binding the staggered sub-ladder spare parts and materials data to the sub-region corresponding to each spare parts and materials demand; identifying whether there is a spare parts and materials missing in the sub-region; if so, obtaining the staggered sub-ladder spare parts and materials data bound to the sub-region, locating at least one staggered sub-ladder spare parts and materials data adjacent to it and reporting request information. The beneficial effects of the present invention are: improving the ability to quickly replace and match material spare parts in response to faults, and providing reliable guarantee for the replacement of wind power materials.

Description

Technical Field

[0001] The present invention belongs to the field of computers, and in particular relates to a wind power material matching method and system based on multi-information fusion. Background Art

[0002] At present, my country's new energy power generation technology is developing rapidly, and the scale of new energy power stations is getting larger and larger. The development of new energy such as wind power and photovoltaics is an ideal way to overcome problems such as energy consumption and greenhouse gas emissions. In order to achieve the "3060" carbon neutrality goal, the country is vigorously developing green electric energy, and the information on wind power and photovoltaic spare parts is growing rapidly.

[0003] At present, the preparation of spare parts is greatly challenged due to some reasons, such as procurement has not yet formed a unified and complete specification system, there is no accumulation of material multivariate data, and the asymmetry of supplier and customer demand information makes the supply chain collaboration between customers and suppliers or manufacturers very difficult. Manual material matching is inefficient, resulting in serious problems such as untimely supply of spare parts. Therefore, a wind power material matching method and system based on multivariate information fusion is proposed to address the above problems. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide a wind power material matching method and system based on multi-information fusion, aiming to solve the problems raised in the above-mentioned background technology.

[0005] The embodiment of the present invention is implemented as follows: on the one hand, a wind power material matching method based on multivariate information fusion, the method comprising the following steps:

[0006] Get multiple dimension data of spare parts materials used in sub-areas;

[0007] Perform similarity gradient classification on the spare parts materials according to the weights of multiple dimensional data to generate ladder spare parts material data including at least two interlaced sub-ladder spare parts material data;

[0008] Bind the staggered sub-echelon spare parts material data to the sub-area corresponding to each spare parts material requirement;

[0009] Identify whether there is a shortage of spare parts in the sub-area;

[0010] If so, obtain the staggered sub-step spare parts material data bound to the sub-area, locate at least one staggered sub-step spare parts material data adjacent to it and report request information, wherein the request information is used to indicate a request to obtain the spare parts material corresponding to the staggered sub-step spare parts material data.

[0011] As a further solution of the present invention, the acquisition of multiple dimensional data of spare parts materials used in the sub-areas specifically includes:

[0012] When the main models of spare parts are the same, obtain the models of spare parts used in each sub-area;

[0013] Identify application parameters corresponding to the model of spare parts used in each sub-area, wherein the application parameters include installation parameters, environmental parameters, and working parameters.

[0014] As a further solution of the present invention, the similarity gradient classification of spare parts materials according to the weights of multiple dimensional data to generate ladder spare parts material data containing at least two staggered sub-ladder spare parts material data specifically includes:

[0015] Get the preset level threshold of each dimension data;

[0016] The spare parts material is identified according to the dimensional data classification order, and the dimensional data classification order is working parameters, environmental parameters and installation parameters, and the preset level thresholds decrease in sequence according to the dimensional data classification order;

[0017] When it is identified that the previous dimension data at least meets the corresponding preset level threshold, the next dimension data is allowed to be identified;

[0018] If and only if it is identified that all dimensional data meet the corresponding preset hierarchical thresholds, it is determined that the two spare parts materials meet the adjacent interleaved sub-ladder spare parts material conditions, and ladder spare parts material data are generated based on the spare parts materials that meet the adjacent interleaved sub-ladder spare parts material conditions.

[0019] As a further solution of the present invention, the binding of the staggered sub-tier spare parts material data with the sub-region corresponding to each spare parts material demand specifically includes:

[0020] Obtain the type identification code of the required spare parts material corresponding to each sub-region, and each type identification code contains the corresponding sub-region feature mark;

[0021] The staggered sub-step spare parts material data are bound to the type identification code, wherein each sub-area corresponds to at least one staggered sub-step spare parts material data.

[0022] As a further solution of the present invention, the identifying whether there is a spare part material missing in the sub-area specifically includes:

[0023] Receiving information reported that spare parts and materials in the sub-area have faults during initial use or after use;

[0024] Determine whether the quantity of spare parts required for the sub-area is greater than the remaining quantity of spare parts in stock according to the information of the first use or the failure after use;

[0025] If so, it is determined that there is a shortage of spare parts in the sub-area.

[0026] As a further embodiment of the present invention, the method further comprises:

[0027] When it is identified that the sub-region where spare parts and materials are missing and the sub-region corresponding to the adjacent staggered sub-step spare parts and materials data are missing, it is determined that there are three consecutive sub-regions corresponding to the staggered sub-step spare parts and materials data that are missing spare parts and materials;

[0028] When it is determined that there are missing spare parts and materials in the sub-areas corresponding to three consecutive staggered sub-step spare parts and material data, and when it is determined that there are no missing spare parts and materials in the sub-areas corresponding to another adjacent staggered sub-step spare parts and material data corresponding to the adjacent staggered sub-step spare parts and material data, a request information is reported, and the request information is used to indicate the acquisition of the spare parts and materials corresponding to the corresponding another adjacent staggered sub-step spare parts and material data.

[0029] As a further embodiment of the present invention, the method further comprises:

[0030] When it is determined that there are three consecutive sub-regions corresponding to staggered sub-step spare parts material data that are missing spare parts and when it is determined that there are also sub-regions corresponding to another adjacent staggered sub-step spare parts material data that are missing spare parts, the spare parts material information that meets the conditions of every three staggered sub-step spare parts material in the step spare parts material data is obtained;

[0031] Report request information, where the request information is used to indicate a request to obtain spare parts materials corresponding to every three staggered sub-step spare parts materials in the step spare parts material data.

[0032] As a further embodiment of the present invention, the method further comprises:

[0033] After receiving the spare parts and materials, the digital authority for storing and retrieving the spare parts and materials is issued to the corresponding sub-area.

[0034] As a further solution of the present invention, on the other hand, a wind power material matching system based on multi-information fusion, the system comprises:

[0035] The acquisition module is used to obtain multiple dimensional data of spare parts materials used in the sub-area;

[0036] A classification and generation module, used for classifying spare parts materials according to the weights of multiple dimensional data by similarity gradient, and generating ladder spare parts material data containing at least two interlaced sub-ladder spare parts material data;

[0037] A binding module is used to bind the staggered sub-echelon spare parts material data with the sub-area corresponding to each spare parts material demand;

[0038] An identification module, used to identify whether there is a spare part material missing in the sub-area;

[0039] The request reporting module is used to obtain the staggered sub-step spare parts material data bound to the sub-area, locate at least one staggered sub-step spare parts material data adjacent to it and report the request information, wherein the request information is used to indicate the request to obtain the spare parts material corresponding to the staggered sub-step spare parts material data.

[0040] An embodiment of the present invention provides a wind power material matching method and system based on multi-dimensional information fusion. By acquiring multiple dimensional data of spare parts and materials used in a sub-region, the spare parts and materials are classified by similarity gradient according to the weights of the multiple dimensional data, and ladder spare parts and materials data containing at least two staggered sub-ladder spare parts and materials data are generated. The staggered sub-ladder spare parts and materials data are bound to the sub-region corresponding to each spare parts and materials demand, and it is identified whether there is a spare part and material missing in the sub-region. If so, the staggered sub-ladder spare parts and materials data bound to the sub-region are acquired, at least one staggered sub-ladder spare parts and materials data adjacent to it is located and request information is reported, wherein the request information is used to indicate a request to obtain the spare parts and materials corresponding to the staggered sub-ladder spare parts and materials data. Therefore, even if there is no time to equip each sub-region with material spare parts separately, the spare parts and materials corresponding to the adjacent staggered sub-ladder spare parts and materials data can be quickly matched and supplemented, thereby improving the ability to quickly replace and match material spare parts in response to faults, providing reliable guarantee for the replacement of wind power materials, and improving the utilization rate of spare parts and materials as a whole. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a main flow chart of a wind power material matching method based on multi-information fusion.

[0042] Figure 2 It is a flow chart that classifies spare parts materials into similarity gradients according to the weights of multiple dimensional data.

[0043] Figure 3 It is a flow chart for identifying whether there is any missing spare parts material in the sub-area.

[0044] Figure 4 The request information is used to instruct the acquisition of the flowchart related to the spare parts material corresponding to another adjacent staggered sub-step spare parts material data.

[0045] Figure 5 The request information is used to indicate a request to obtain a flowchart related to spare parts materials corresponding to every three staggered sub-ladder spare parts materials in the ladder spare parts material data.

[0046] Figure 6 It is the main structure diagram of a wind power material matching system based on multi-information fusion. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0048] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0049] The present invention provides a wind power material matching method and system based on multi-information fusion, which solves the technical problems in the background technology.

[0050] like Figure 1 As shown, it is a main flow chart of a wind power material matching method based on multi-information fusion provided by an embodiment of the present invention, and the wind power material matching method based on multi-information fusion includes:

[0051] Step S10: Acquire multiple dimensional data of spare parts materials used in the sub-area;

[0052] Step S11: performing similarity gradient classification on the spare parts material according to the weights of multiple dimensional data to generate ladder spare parts material data including at least two staggered sub-ladder spare parts material data;

[0053] Step S12: Binding the staggered sub-tier spare parts material data to the sub-region corresponding to each spare parts material demand;

[0054] Step S13: Identify whether there is any missing spare parts in the sub-area; and

[0055] Step S14: If yes, obtain the staggered sub-step spare parts material data bound to the sub-area, locate at least one staggered sub-step spare parts material data adjacent to it and report request information, wherein the request information is used to indicate a request to obtain the spare parts material corresponding to the staggered sub-step spare parts material data.

[0056] When this embodiment is applied, multiple dimensional data of spare parts and materials used in the sub-area are obtained, and the spare parts and materials are classified according to the similarity gradient of the weights of the multiple dimensional data to generate ladder spare parts and material data containing at least two staggered sub-step spare parts and material data, and the staggered sub-step spare parts and material data are bound to the sub-area corresponding to each spare parts and material demand, and it is identified whether there is a spare part and material missing in the sub-area. If so, the staggered sub-step spare parts and material data bound to the sub-area are obtained, and at least one staggered sub-step spare parts and material data adjacent to it is located and request information is reported, wherein the request information is used to indicate a request to obtain the spare parts and materials corresponding to the staggered sub-step spare parts and material data. Therefore, even if there is no time to equip each sub-area with material spare parts separately, the spare parts and materials corresponding to the adjacent staggered sub-step spare parts and material data can be quickly matched and supplemented, thereby improving the ability to quickly replace and match material spare parts in response to faults, providing reliable guarantee for the replacement of wind power materials, and improving the overall utilization of spare parts and materials.

[0057] As a preferred embodiment of the present invention, the acquisition of multiple dimensional data of spare parts materials used in the sub-area specifically includes:

[0058] Step S101: when the main models of spare parts are the same, obtain the models of spare parts used in each sub-area;

[0059] Step S102: Identify application parameters corresponding to the model of spare parts used in each sub-area, where the application parameters include installation parameters, environmental parameters, and working parameters.

[0060] When this embodiment is applied, the application parameters are considered only when the main models of the spare parts are the same, because only when the main models are the same will the subsequent application parameter considerations be meaningful.

[0061] like Figure 2 As shown, as a preferred embodiment of the present invention, the similarity gradient classification of spare parts materials according to the weights of multiple dimensional data to generate ladder spare parts material data containing at least two staggered sub-ladder spare parts material data specifically includes:

[0062] Step S111: obtaining a preset level threshold for each dimension data;

[0063] Step S112: identifying the spare parts material according to the dimensional data classification order, and the dimensional data classification order is working parameters, environmental parameters and installation parameters, and the preset level threshold is reduced in turn according to the dimensional data classification order, for example, the preset level threshold of the working parameter is 0.8, the preset level threshold of the environmental parameter is 0.6, and the preset level threshold of the installation parameter is 0.5, among which the working parameter plays a major or decisive role, which represents the parameter reflecting the working performance, for example, the working parameters of the two sensors are 400-1000rpm and 400-800rpm respectively, so the former can replace the latter, and in some working ranges, the latter can also replace the former, and the similarity threshold of the two is 0.8;

[0064] Step S113: when it is identified that the previous dimension data at least meets the corresponding preset level threshold, the next dimension data is allowed to be identified;

[0065] Step S114: When and only when it is identified that all dimensional data meet the corresponding preset level thresholds, it is determined that the two spare parts materials meet the adjacent staggered sub-ladder spare parts material conditions, and ladder spare parts material data are generated according to the spare parts materials that meet the adjacent staggered sub-ladder spare parts material conditions.

[0066] It can be understood that the working parameters are mainly parameters that reflect the working performance, such as the speed measurement of the main sensor for measuring the yaw motor. The environmental parameters mainly include rated voltage, current and operating temperature, while the installation parameters are second. Therefore, it is reasonable for the preset hierarchical thresholds to decrease in the order of dimensional data classification. The two spare parts meet the conditions of adjacent staggered sub-step spare parts materials, which means that the two spare parts can be interchanged to a certain extent or one can match and supplement the other. The two have a common working range, and the similarity can be comprehensively judged by the similarity of each dimensional data. The similarity occupancy ratio of the corresponding working parameters, environmental parameters and installation parameters should be reduced in turn, which will not be described here.

[0067] As a preferred embodiment of the present invention, the binding of the staggered sub-tier spare parts material data with the sub-region corresponding to each spare parts material demand specifically includes:

[0068] Step S121: obtaining the type identification code of the required spare parts material corresponding to each sub-region, and each type identification code includes the corresponding sub-region feature mark;

[0069] Step S122: Binding the staggered sub-level spare parts material data with the type identification code, wherein each sub-area corresponds to at least one staggered sub-level spare parts material data.

[0070] When this embodiment is applied, for example, the type identification code is 1-AC01, 1 indicates that the serial number mark of the sub-area is 1, AC01 indicates the type identification code, for example, the built-in distinguishing model of the yaw motor is C01, BC02 indicates that the built-in distinguishing model of the main sensor is C02, and the staggered sub-step spare parts material data can be expressed as C02-08, indicating that the similarity of the staggered sub-step spare parts material data of the main sensor is level 8 (the full level is 10).

[0071] like Figure 3 As shown, as a preferred embodiment of the present invention, the identifying whether there is a spare part material missing in the sub-area specifically includes:

[0072] Step S131: receiving information reported that spare parts in the sub-area have faults during initial use or after use;

[0073] Step S132: judging whether the quantity of spare parts required by the sub-area is greater than the remaining quantity of spare parts in stock according to the information of the first use or the failure after use, the corresponding sub-area with the failure will upload the image of the spare parts, which are with type identification code and sub-area feature mark, so they can be identified and counted;

[0074] Step S133: If yes, it is determined that there is a shortage of spare parts in the sub-area.

[0075] When this embodiment is applied, it actually comprehensively considers two usage scenarios of material spare parts in general situations. The first is the situation of using them as formal spare parts for the first time, and the second is the situation of using them as inventory spare parts.

[0076] like Figure 4 As shown, as a preferred embodiment of the present invention, the method further includes:

[0077] Step S21: when it is identified that the sub-region with missing spare parts and the sub-regions corresponding to the adjacent staggered sub-step spare parts data are missing spare parts, it is determined that there are three consecutive sub-regions corresponding to the staggered sub-step spare parts data with missing spare parts;

[0078] Step S22: When it is determined that there are missing spare parts and materials in the sub-area corresponding to three consecutive staggered sub-step spare parts and material data, and when it is determined that there are no missing spare parts and materials in the sub-area corresponding to another adjacent staggered sub-step spare parts and material data corresponding to the adjacent staggered sub-step spare parts and material data, a request information is reported, wherein the request information is used to indicate the acquisition of spare parts and materials corresponding to another adjacent staggered sub-step spare parts and material data.

[0079] When this embodiment is applied, by determining that there are missing spare parts and materials in the sub-areas corresponding to three consecutive interleaved sub-step spare parts and material data, and determining that there are no missing spare parts and materials in the sub-areas corresponding to another adjacent interleaved sub-step spare parts and material data corresponding to the adjacent interleaved sub-step spare parts and material data, the surface only allows at most three consecutive sub-areas corresponding to the interleaved sub-step spare parts and material data to have missing spare parts and materials. At this time, even if there is missing spare parts and materials in the sub-area corresponding to one adjacent interleaved sub-step spare parts and material data corresponding to the adjacent interleaved sub-step spare parts and material data, it can be quickly matched and supplemented by the spare parts and materials corresponding to another adjacent interleaved sub-step spare parts and material data.

[0080] like Figure 5 As shown, as a preferred embodiment of the present invention, the method further includes:

[0081] Step S31: when it is determined that there are spare parts missing in the sub-regions corresponding to three consecutive staggered sub-step spare parts material data, and when it is determined that there are spare parts missing in the sub-regions corresponding to another adjacent staggered sub-step spare parts material data corresponding to the adjacent staggered sub-step spare parts material data, spare parts material information that meets the conditions of every three staggered sub-step spare parts material in the step spare parts material data is obtained;

[0082] Step S32: reporting request information, wherein the request information is used to indicate a request to obtain spare parts materials corresponding to every three staggered sub-ladder spare parts materials in the ladder spare parts material data.

[0083] It should be understood that this embodiment is a further supplement to the aforementioned embodiment. Generally, for the ladder spare parts material data, only the ladder spare parts material data of every two consecutive staggered sub-step spare parts material data are considered. The condition for triggering the consideration of the spare parts materials corresponding to every three staggered sub-step spare parts materials here is that it is mainly used when there are missing spare parts materials in the sub-area corresponding to three consecutive staggered sub-step spare parts material data, and it is determined that there are also missing spare parts materials in the sub-area corresponding to another adjacent staggered sub-step spare parts material data corresponding to the adjacent staggered sub-step spare parts material data. The staggered sub-step spare parts materials can not only quickly match and replenish the adjacent staggered sub-step spare parts materials, but also can quickly match and replenish the two staggered sub-step spare parts materials separated, thereby reducing the burden of the center to replenish spare parts materials separately.

[0084] As a preferred embodiment of the present invention, the method further includes:

[0085] Step S40: After receiving the spare parts and materials, the digital authority for obtaining storage and retrieval of spare parts and materials is issued to the corresponding sub-area; that is, when there are corresponding spare parts and materials missing, the sub-area (relevant personnel) can obtain the spare parts and materials corresponding to every three staggered sub-step spare parts and materials or at least one spare parts and materials corresponding to the data of the staggered sub-step spare parts and materials adjacent to it through the digital authority. The relevant spare parts and materials are stored in the storage device and can be obtained through the digital authority. The relevant authority can also be used to obtain them within this sub-area.

[0086] like Figure 6 As shown, as another preferred embodiment of the present invention, on the other hand, a wind power material matching system based on multi-information fusion, the system includes:

[0087] An acquisition module 100 is used to acquire multiple dimensional data of spare parts materials used in a sub-region;

[0088] A classification and generation module 200, for classifying spare parts materials by similarity gradient according to the weights of multiple dimensional data, and generating ladder spare parts material data including at least two interlaced sub-ladder spare parts material data;

[0089] A binding module 300, for binding the staggered sub-tier spare parts material data with the sub-region corresponding to each spare parts material demand;

[0090] An identification module 400 is used to identify whether there is a shortage of spare parts in the sub-area;

[0091] The request reporting module 500 is used to obtain the staggered sub-step spare parts material data bound to the sub-area, locate at least one staggered sub-step spare parts material data adjacent to it and report the request information, wherein the request information is used to indicate a request to obtain the spare parts material corresponding to the staggered sub-step spare parts material data.

[0092] In the above embodiment of the present invention, a wind power material matching method based on multivariate information fusion is provided, and based on the wind power material matching method based on multivariate information fusion, a wind power material matching system based on multivariate information fusion is provided, which obtains multiple dimensional data of spare parts used in a sub-region, performs similarity gradient classification on the spare parts according to the weights of the multiple dimensional data, generates ladder spare parts data containing at least two staggered sub-ladder spare parts data, binds the staggered sub-ladder spare parts data to the sub-region corresponding to each spare parts demand, identifies whether there is a spare parts shortage in the sub-region, and if so, , then obtain the staggered sub-step spare parts material data bound to the sub-area, locate at least one staggered sub-step spare parts material data adjacent to it and report the request information, wherein the request information is used to indicate the request to obtain the spare parts and materials corresponding to the staggered sub-step spare parts material data. Then, even if there is no time to equip each sub-area with material spare parts separately, the spare parts and materials corresponding to the adjacent staggered sub-step spare parts material data can be quickly matched and supplemented, thereby improving the ability to quickly replace and match material spare parts in response to faults, providing reliable guarantee for the replacement of wind power materials, and improving the overall utilization of spare parts and materials.

[0093] In order to load the above-mentioned method and system and enable it to run smoothly, the system, in addition to the various modules mentioned above, may also include more or fewer components than described above, or a combination of certain components, or different components, for example, it may include input and output devices, network access devices, buses, processors and memories, etc.

[0094] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the system, and various interfaces and lines are used to connect various parts.

[0095] The above-mentioned memory can be used to store computer and system programs and / or modules. The above-mentioned processor realizes the above-mentioned various functions by running or executing the computer programs and / or modules stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as an information collection template display function, a product information release function, etc.). The data storage area can store data created according to the use of the berth status display system (such as product information collection templates corresponding to different product types, product information that needs to be released by different product providers, etc.). In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash card (FlashCard), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0096] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0097] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0098] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0099] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A wind power material matching method based on multivariate information fusion, characterized in that: The method comprises: Get multiple dimension data of spare parts materials used in sub-areas; Perform similarity gradient classification on the spare parts materials according to the weights of multiple dimensional data to generate ladder spare parts material data including at least two interlaced sub-ladder spare parts material data; Bind the staggered sub-echelon spare parts material data to the sub-area corresponding to each spare parts material requirement; Identify whether there is a shortage of spare parts in the sub-area; If yes, then obtain the staggered sub-step spare parts material data bound to the sub-region, locate at least one staggered sub-step spare parts material data adjacent to it and report request information, wherein the request information is used to indicate a request to obtain the spare parts material corresponding to the staggered sub-step spare parts material data; The identifying whether there is a spare part material missing in the sub-area specifically includes: Receiving information reported that spare parts and materials in the sub-area have faults during initial use or after use; Determine whether the quantity of spare parts required for the sub-area is greater than the remaining quantity of spare parts in stock according to the information of the first use or the failure after use; If yes, it is determined that there is a shortage of spare parts in the sub-area; The method further comprises: When it is identified that the sub-region where spare parts and materials are missing and the sub-region corresponding to the adjacent staggered sub-step spare parts and materials data are missing, it is determined that there are three consecutive sub-regions corresponding to the staggered sub-step spare parts and materials data that are missing spare parts and materials; When it is determined that there are missing spare parts and materials in the sub-areas corresponding to three consecutive staggered sub-step spare parts and material data, and when it is determined that there are no missing spare parts and materials in the sub-areas corresponding to another adjacent staggered sub-step spare parts and material data corresponding to the adjacent staggered sub-step spare parts and material data, a request information is reported, and the request information is used to indicate the acquisition of the spare parts and materials corresponding to the corresponding another adjacent staggered sub-step spare parts and material data.

2. The wind power material matching method based on multi-information fusion according to claim 1 is characterized in that: The acquisition of multiple dimensional data of spare parts materials used in the sub-area specifically includes: When the main models of spare parts are the same, obtain the models of spare parts used in each sub-area; Identify application parameters corresponding to the model of spare parts used in each sub-area, wherein the application parameters include installation parameters, environmental parameters, and working parameters.

3. The wind power material matching method based on multi-information fusion according to claim 2 is characterized in that: The step of performing similarity gradient classification on the spare parts materials according to the weights of the multiple dimensional data to generate ladder spare parts material data including at least two staggered sub-ladder spare parts material data specifically includes: Get the preset level threshold of each dimension data; The spare parts material is identified according to the dimensional data classification order, and the dimensional data classification order is working parameters, environmental parameters and installation parameters, and the preset level thresholds decrease in sequence according to the dimensional data classification order; When it is identified that the previous dimension data at least meets the corresponding preset level threshold, the next dimension data is allowed to be identified; If and only if it is identified that all dimensional data meet the corresponding preset hierarchical thresholds, it is determined that the two spare parts materials meet the adjacent interleaved sub-ladder spare parts material conditions, and ladder spare parts material data are generated based on the spare parts materials that meet the adjacent interleaved sub-ladder spare parts material conditions.

4. The wind power material matching method based on multivariate information fusion according to claim 1 is characterized in that: The step of binding the staggered sub-tier spare parts material data with the sub-area corresponding to each spare parts material demand specifically includes: Obtain the type identification code of the required spare parts material corresponding to each sub-region, and each type identification code contains the corresponding sub-region feature mark; The staggered sub-step spare parts material data are bound to the type identification code, wherein each sub-area corresponds to at least one staggered sub-step spare parts material data.

5. The wind power material matching method based on multivariate information fusion according to claim 1 is characterized in that: The method further comprises: When it is determined that there are three consecutive sub-regions corresponding to staggered sub-step spare parts material data that are missing spare parts and when it is determined that there are also sub-regions corresponding to another adjacent staggered sub-step spare parts material data that are missing spare parts, the spare parts material information that meets the conditions of every three staggered sub-step spare parts material in the step spare parts material data is obtained; Report request information, where the request information is used to indicate a request to obtain spare parts materials corresponding to every three staggered sub-step spare parts materials in the step spare parts material data.

6. The wind power material matching method based on multivariate information fusion according to any one of claims 1 to 4, characterized in that: The method further comprises: After receiving the spare parts and materials, the digital authority for storing and retrieving the spare parts and materials is issued to the corresponding sub-area.

7. A wind power material matching system based on multi-information fusion, used to implement the wind power material matching method based on multi-information fusion according to any one of claims 1 to 6, characterized in that: The system comprises: The acquisition module is used to obtain multiple dimensional data of spare parts materials used in the sub-area; A classification and generation module, used for classifying spare parts materials according to the weights of multiple dimensional data by similarity gradient, and generating ladder spare parts material data containing at least two interlaced sub-ladder spare parts material data; A binding module is used to bind the staggered sub-echelon spare parts material data with the sub-area corresponding to each spare parts material demand; An identification module, used to identify whether there is a spare part material missing in the sub-area; A request reporting module is used to obtain the staggered sub-step spare parts material data bound to the sub-step if it is identified that spare parts and materials are missing in the sub-step, locate at least one staggered sub-step spare parts material data adjacent to it and report request information, wherein the request information is used to indicate a request to obtain the spare parts and materials corresponding to the staggered sub-step spare parts material data.

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