Search

CN-121981822-A - Intelligent supply chain financial credit assessment method and system based on digital factory

CN121981822ACN 121981822 ACN121981822 ACN 121981822ACN-121981822-A

Abstract

The invention relates to an intelligent supply chain financial credit assessment method based on a digital factory, which belongs to the field of natural language data processing, and more particularly relates to the field of big data processing, and the method comprises the steps of analyzing a product sales offer contract between a preset product producer and a short video seller to obtain a plurality of contract related data; and using an intelligent supply chain financial credit assessment model to intelligently assess the credit identification of the product sales offer contract according to the related data of the multiple contracts, the multi-source heterogeneous data of the multiple digital factories showing the supply chain ends and the related content of the various vermicelli. According to the invention, the technical problem that the product sales offer contract in the prior art is difficult to evaluate effectively because the product production credit and the product sales credit are fused is solved by executing the financial credit evaluation of the product sales offer contract by using the intelligent supply chain financial credit evaluation model designed for setting the product customization structure on the basis of big data analysis.

Inventors

  • JIANG MENGXUAN
  • WANG MING
  • CHENG JUN

Assignees

  • 深圳市海铭德科技有限公司

Dates

Publication Date
20260505
Application Date
20251219

Claims (10)

  1. 1. A digital factory-based intelligent supply chain financial credit assessment method, the method comprising: Analyzing a preset product sales offer contract between a product producer and a short video seller, obtaining the total number of product sales required to be sold and the product sales price in the product sales offer contract, and equally dividing the total number of product sales by a set number to obtain a plurality of product quantity units with the same value; The method comprises the steps of obtaining multi-source heterogeneous data of a plurality of digital factories, wherein the multi-source heterogeneous data of the digital factories are respectively collected by a preset product producer when the preset product producer produces a plurality of product quantity units before signing completion time, and the multi-source heterogeneous data of the digital factories are collected when the preset product producer produces each product quantity unit and are the state information of a plurality of production devices, the supply quantity of a plurality of raw materials, a plurality of storage related parameters and a plurality of financial index information, which are collected when the preset product producer produces the preset product of the product quantity units; capturing various vermicelli associated contents of short video sellers; performing a plurality of times of learning on the feedforward neural network to obtain the feedforward neural network with the performed plurality of times of learning and using the feedforward neural network as an intelligent supply chain financial credit assessment model; And using an intelligent supply chain financial credit assessment model to intelligently assess whether a short video seller completes credit identification of a product sales offer contract in a sold-out time section according to the product type number of a preset product, the duration of the sold-out time section, the total number of product sales, the product sales price and the number of units of a plurality of products respectively acquired by a preset product producer before signing completion time.
  2. 2. The digital factory-based intelligent supply chain financial credit assessment method as recited in claim 1, wherein: The method comprises the steps of acquiring multi-source heterogeneous data of a plurality of digital factories, wherein the multi-source heterogeneous data are acquired by a preset product producer respectively when a plurality of product quantity units are produced before signing completion time, the signing completion time is the signing completion time of a product sales offer contract, the sold out time is segmented by taking the signing completion time as the starting time, and the preset product producer starts the production of a set product for stock of a short video seller at the signing completion time; capturing various vermicelli related contents of short video sellers, wherein the various vermicelli related contents of the short video sellers are the total number of the vermicelli of the short video sellers, the number of the vermicelli in each region, the set historical sales total amount of products in each region and the set historical sales average price of the products; The system comprises a preset product producer, a product quantity unit and a product quantity unit, wherein the state information of a plurality of production devices acquired when the preset product producer produces the preset product of the product quantity unit is the average vibration amplitude, the average device temperature value and the average working current value of all production devices involved in the whole production period of the product acquired when the preset product producer produces the preset product of the product quantity unit, and the supply quantity of various raw materials acquired when the preset product producer produces the preset product of the product quantity unit is the average stock quantity of all the various product raw materials acquired when the preset product producer produces the preset product of the product quantity unit; The storage related parameters collected when the preset product producer produces the preset product of the product quantity unit are average warehouse-in time and average warehouse-out time of each corresponding part respectively of various product raw materials collected when the preset product producer produces the preset product of the product quantity unit, and the financial index information collected when the preset product producer produces the preset product of the product quantity unit is cash stock, debt total amount, business income and product gross interest rate of the preset product producer collected when the preset product producer produces the preset product of the product quantity unit.
  3. 3. The digital factory-based intelligent supply chain financial credit assessment method as recited in claim 1, wherein: performing a plurality of times of learning on the feedforward neural network to obtain the feedforward neural network which has performed the plurality of times of learning and is used as an intelligent supply chain financial credit assessment model, wherein the number of times of learning passed by the feedforward neural network is matched with the numerical variation trend of the number of production devices involved in the whole production cycle of a preset product producer; The feedforward neural network is subjected to multiple learning to obtain a feedforward neural network subjected to multiple learning and serve as an intelligent supply chain financial credit evaluation model, wherein multiple short video sellers respectively correspond to multiple learning with multiple past product sales offer contracts respectively signed by preset product manufacturers, in each learning performed on the feedforward neural network, whether a known short video seller completes credit marks of the past product sales offer contracts in a sales out time section set in the corresponding past product sales offer contract is taken as single output data of the feedforward neural network, product type numbers of preset products, duration of the sales out time section, total product sales numbers and product sales prices set by the past product sales offer contracts, multiple word factory multiple source heterogeneous data respectively acquired by the preset product manufacturers before the preset product sales out time section, and vermicelli association content of the certain short video seller are taken as input data of the feedforward neural network; The feedforward neural network is subjected to multiple learning to obtain the feedforward neural network subjected to multiple learning and serve as an intelligent supply chain financial credit assessment model, the feedforward neural network further comprises the steps of equally dividing the set number of the product sales total number set by the past product sales offer contract to obtain a plurality of product quantity units with the same value, the time division of sold out takes the signing completion time of the past product sales offer contract as the starting time, and a preset product producer starts the production of a set product for a certain short video seller at the signing completion time of the past product sales offer contract.
  4. 4. The digital factory-based intelligent supply chain financial credit assessment method according to claim 1, wherein when using the intelligent supply chain financial credit assessment model, according to the product type number of the preset product, the duration of the sold-out time segment, the total number of product sales, the product sales price, the number of parts of digital factory multisource heterogeneous data respectively collected by the preset product producer before signing the completion time and the vermicelli-related content of the short video seller, the method further comprises, after intelligently assessing whether the short video seller completes the credit identification of the product sales offer contract within the sold-out time segment: and issuing a contract correction request for correcting the product sales offer contract when the credit identity indicates that the short video seller cannot complete the product sales offer contract within the sold-out time segment, and issuing a contract trusted instruction related to the product sales offer contract when the credit identity indicates that the short video seller can complete the product sales offer contract within the sold-out time segment.
  5. 5. The digital factory-based intelligent supply chain financial credit assessment method according to claim 4, wherein after using the intelligent supply chain financial credit assessment model to produce a plurality of product quantity units before signing the completion time according to the product type number of the preset product, the duration of the sold-out time segment, the total number of product sales, the product sales price, the preset product producer, the multi-part digital factory multi-source heterogeneous data collected by the preset product producer before signing the completion time and the vermicelli associated content of the short video seller, the method further comprises, after intelligently assessing whether the short video seller completes the credit identification of the product sales offer contract within the sold-out time segment: receiving a credit identification of whether the short video seller completes the product sales offer contract within a sold-out time segment and completing a confidence display of the product sales offer contract based on the credit identification; Wherein receiving a credit indication of whether the short video seller completes the product sale offer contract within a sold-out time segment and displaying a confidence that the product sale offer contract is completed based on the credit indication comprises performing a red highlighting of the product sale offer contract when the credit indication indicates that the short video seller cannot complete the product sale offer contract within the sold-out time segment; The method further comprises receiving a credit indication of whether the short video seller completes the product sale offer contract within a sold-out time segment, and displaying a confidence of the completion of the product sale offer contract based on the credit indication.
  6. 6. The digital factory-based intelligent supply chain financial credit assessment method as recited in claim 1, wherein after performing a plurality of learning on the feedforward neural network to obtain the feedforward neural network having performed the plurality of learning as an intelligent supply chain financial credit assessment model, the method further comprises: receiving an intelligent supply chain financial credit assessment model and completing model storage of the intelligent supply chain financial credit assessment model; The method comprises the steps of receiving an intelligent supply chain financial credit assessment model and completing model storage of the intelligent supply chain financial credit assessment model.
  7. 7. The digital factory-based intelligent supply chain financial credit assessment method according to any one of claims 3-6, wherein: The number of times of learning passed by the feedforward neural network is matched with the numerical variation trend of the number of each production device involved in the whole production period of the product of the preset product producer, wherein the numerical variation trend of the number of each production device involved in the whole production period of the product of the preset product producer is represented by a first numerical variation curve, and the numerical variation trend of the number of times of learning passed by the feedforward neural network is represented by a second numerical variation curve; the number of times of learning passed by the feedforward neural network is matched with the numerical variation trend of the number of production equipment related to the whole production period of the product of a preset product producer, and the method further comprises the steps that the curvature values of the parts uniformly spaced by the first numerical variation curve are respectively equal to the curvature values of the parts uniformly spaced by the second numerical variation curve; Wherein, each vermicelli related content of the short video seller is the total number of the short video seller, the number of the vermicelli in each region, the set product historical sales total amount and the set product historical sales average price in each region comprise adopting different region numbers for respectively representing different regions.
  8. 8. The digital factory-based intelligent supply chain financial credit assessment method according to any one of claims 3-6, wherein: The intelligent supply chain financial credit assessment model is used for intelligently assessing whether the short video seller completes the credit identification of the product sales offer contract in the sold-out time section according to the product type number of the preset product, the duration of the sold-out time section, the total number of product sales, the product sales price and the number of units of the number of products respectively acquired by the preset product producer before signing the completion time, and various vermicelli associated contents of the short video seller; The intelligent evaluation of whether the short video seller completes the credit mark of the product sale offer contract in the sold-out time section further comprises the steps of synchronously inputting the product type number of the preset product, the time length of the sold-out time section, the total product sale number, the product sale price and the product sale price of the preset product into the intelligent supply chain financial credit evaluation model according to the product type number of the preset product, the time length of the sold-out time section, the product sale price of the preset product and the vermicelli related content of the short video seller, wherein the multiple parts of the digital factory multiple source heterogeneous data and the vermicelli related content of the short video seller are respectively acquired before the signing completion time of the preset product producer and the production of the multiple product quantity units; The intelligent supply chain financial credit assessment model is used for intelligently assessing whether the short video seller completes the credit identification of the product sale offer contract in the sold-out time section according to the product type number of the preset product, the time length of the sold-out time section, the total number of product sales, the product sale price, the multiple copies of digital factory multiple source heterogeneous data respectively collected by the preset product producer before signing the completion time and various vermicelli associated contents of the short video seller, and further comprises the steps of operating the intelligent supply chain financial credit assessment model to obtain the credit identification of the product sale offer contract which is output by the intelligent supply chain financial credit assessment model and is completed by the short video seller in the sold-out time section.
  9. 9. An intelligent supply chain financial credit assessment system based on a digital plant, the system comprising a memory and a plurality of processors, the memory storing a computer program, wherein the computer program is configured to be executed by the plurality of processors to perform the steps of: Analyzing a preset product sales offer contract between a product producer and a short video seller, obtaining the total number of product sales required to be sold and the product sales price in the product sales offer contract, and equally dividing the total number of product sales by a set number to obtain a plurality of product quantity units with the same value; The method comprises the steps of obtaining multi-source heterogeneous data of a plurality of digital factories, wherein the multi-source heterogeneous data of the digital factories are respectively collected by a preset product producer when the preset product producer produces a plurality of product quantity units before signing completion time, and the multi-source heterogeneous data of the digital factories are collected when the preset product producer produces each product quantity unit and are the state information of a plurality of production devices, the supply quantity of a plurality of raw materials, a plurality of storage related parameters and a plurality of financial index information, which are collected when the preset product producer produces the preset product of the product quantity units; capturing various vermicelli associated contents of short video sellers; performing a plurality of times of learning on the feedforward neural network to obtain the feedforward neural network with the performed plurality of times of learning and using the feedforward neural network as an intelligent supply chain financial credit assessment model; And using an intelligent supply chain financial credit assessment model to intelligently assess whether a short video seller completes credit identification of a product sales offer contract in a sold-out time section according to the product type number of a preset product, the duration of the sold-out time section, the total number of product sales, the product sales price and the number of units of a plurality of products respectively acquired by a preset product producer before signing completion time.
  10. 10. An intelligent supply chain financial credit assessment system based on a digital plant, the system comprising: the financial analysis device is used for analyzing a product sales offer contract between a preset product producer and a short video seller, obtaining the total number of product sales and the product sales price required to be sold in the product sales offer contract, and equally dividing the total number of product sales by a set number to obtain a plurality of product quantity units with the same value; The multi-source acquisition device is connected with the financial analysis device and is used for acquiring multi-part digital factory multi-source heterogeneous data acquired by a preset product producer respectively when the preset product producer produces a plurality of product quantity units before signing completion time, wherein the digital factory multi-source heterogeneous data acquired by the preset product producer when the preset product producer produces each product quantity unit is the multi-part production equipment state information, the multi-raw material supply quantity, the multi-part storage related parameters and the multi-part financial index information acquired by the preset product producer when the preset product producer produces the preset product of the product quantity unit; The content capturing device is used for capturing various vermicelli-related contents of short video sellers; the step-by-step construction device is used for performing multiple times of learning on the feedforward neural network to obtain the feedforward neural network which is subjected to the multiple times of learning and is used as an intelligent supply chain financial credit assessment model; the credit evaluation device is respectively connected with the financial analysis device, the multi-source acquisition device, the content capture device and the step-by-step construction device and is used for intelligently evaluating whether the short video seller completes the credit identification of the product sales offer contract in the sold-out time section according to the product type number of the preset product, the time length of the sold-out time section, the total product sales number, the product sales price and the related content of each piece of vermicelli of the multi-number digital factory multi-source heterogeneous data and the short video seller respectively acquired by the preset product producer before signing the completion time.

Description

Intelligent supply chain financial credit assessment method and system based on digital factory Technical Field The invention relates to natural language data processing, in particular to the field of big data processing, and particularly relates to an intelligent supply chain financial credit assessment method and system based on a digital factory. Background The product sales offer contract signed by the product producer and the product seller of various sales channels belongs to a text formed by natural language data organization, data processing of the product sales offer contract also belongs to natural language data processing, more specifically, the collection and processing of a large amount of data of the product sales offer contract are included to complete credit evaluation of the product sales offer contract, and the data processing of the product sales offer contract also belongs to large data processing. For example, both the product producer and the short video seller may wish to make a financial credit assessment of whether the product sales offer contract signed by both parties can be finalized, thereby providing valuable reference data for whether the contract requires modification of financial transaction data therebetween, and for whether the contract needs to be relinquished. The Chinese patent publication CN117151871A discloses a performance risk assessment method and system based on multidimensional data analysis, wherein the method comprises the following specific steps of S1, collecting relevant borrower personal information data including employment situation, income data and credit data, S2, collecting relevant contract data including repayment mode, repayment deadline, repayment principal, monthly contract interest rate and collateral value, S3, substituting the personal information data and the relevant contract data into a borrower repayment capability value calculation strategy to calculate a repayment capability value, S4, substituting the credit data and the relevant contract data into a liability influence value calculation strategy to calculate a liability influence value, S5, substituting the repayment capability value and the liability influence value into a performance risk assessment model to calculate a performance risk value, and S6, assessing the risk of the borrower to fulfill a contract according to the performance risk value. The application can more objectively evaluate the performance risk of borrowers and avoid the influence of subjective factors on evaluation. The Chinese patent publication CN118966793A discloses a large data-based contract management method and system, wherein the method comprises the steps of dividing a contract in a contract database into a plurality of fields, taking the ratio of the number of contracts in abnormal states in the fields to the total number of the contracts as field risk degrees, inputting text vectors of the contracts to be evaluated into a preset calculation model to obtain the confidence degree of each field related to the contracts to be evaluated, taking the confidence degree as the possibility degree, updating the possibility degree of the fields related to the contracts to be evaluated, calculating the contract risk degrees of the contracts to be evaluated according to the field risk degrees and the updated field possibility degrees, positively correlating the sum of the accumulated products of the contract risk degrees and the field risk degrees, and sending a prompt signal in response to the contract risk degrees being larger than a threshold value. According to the method and the system, the multiple fields related to the contract are considered, so that the contract risk can be accurately estimated, and the accurate management of the contract is facilitated. However, the financial credit evaluation of each contract in the prior art described above relates to either the borrower performing the contract or the contract in each field, and not particularly relates to the financial credit evaluation of the product sales offer contract signed between the product producer and the short video seller, which in fact relates to the product production credit of the product sales offer contract in the sold-out time segment and the product sales credit of the short video seller in the sold-out time segment of the product sales offer contract, and whether the two kinds of credit eventually achieve the product sales of the contract quantity under the contract agreement price in the sold-out time segment of the product sales offer contract, that is, the financial credit evaluation of the product sales offer contract signed between the product producer and the short video seller, is achieved. Disclosure of Invention In order to solve the technical problems in the prior art, the invention provides an intelligent supply chain financial credit assessment method and system based on a digital factory, which can collect big data based o