Steel pipe material purchasing method and system

Abstract

The invention discloses a steel pipe material purchasing method and system, and the method comprises the steps: obtaining a first manufacturer distribution data set and first material purchasing enterprise information of a first region based on big data; constructing a first screening virtual system, and screening based on an encrypted text alignment technology to obtain a first screening result; obtaining first intersection user information; obtaining a first operation result; obtaining a second operation result; performing encryption interaction on the first operation result and the second operation result to generate a first update feature parameter; and according to the first update feature parameter, performing data optimization update on the first manufacturer distribution data set to obtain first manufacturer information, and sending the first manufacturer information to a first material purchasing enterprise. In the prior art, the technical problems that appropriate material manufacturers cannot be intelligently recommended based on the requirements of steel pipe material purchasing enterprises, so that the workload of manual comparison and evaluation of the manufacturers is large, and the consumed time is long exist.

Description

Technical Field

[0001] This application relates to the field of data analysis, and in particular to a method and system for procuring steel pipe materials. Background Technology

[0002] Procurement is the entire process by which a company purchases products or services from suppliers as corporate resources under certain conditions. The procurement process includes formulating and implementing procurement policies, strategies, national standards, and improvement plans, as well as measuring procurement and supplier performance. As a business activity that ensures the normal operation of a company's production and business activities, it is the leading force in the company's supply chain management process. Procurement management seeks the optimal combination among factors such as price, quality, time, and service. Due to the different uses of different materials, the emphasis on these factors in procurement will inevitably differ.

[0003] A purchasing company's profit is directly proportional to the speed of logistics and information flow in the manufacturing and supply process. From the perspective of the overall supply chain, in order to obtain as much profit as possible, companies will try to accelerate the flow of materials and information. This requires relying on the power of procurement and giving full play to the role of suppliers. More than 60% of the cost of materials and related information are generated or come from suppliers. Therefore, it is of great significance to establish a system that intelligently recommends material suppliers based on the company's procurement needs.

[0004] In the process of implementing the technical solutions in the embodiments of this application, the inventors of this application discovered that the above-mentioned technology has at least the following technical problems: Existing technologies cannot intelligently recommend suitable material suppliers based on the needs of steel pipe material procurement companies. The manual comparison and evaluation of various suppliers is labor-intensive and time-consuming, which further affects the production of steel pipes, reduces customer satisfaction of steel pipe companies, and even hinders the smooth development of steel pipe companies. Summary of the Invention

[0005] In view of this, this application provides a steel pipe material procurement method and system. The method includes: obtaining a first manufacturer distribution data set and first material procurement enterprise information in a first region based on big data; constructing a first screening virtual system, performing screening based on encrypted text alignment technology, and obtaining a first screening result; obtaining first intersection user information; obtaining a first calculation result; obtaining a second calculation result; performing encrypted interaction on the first calculation result and the second calculation result to generate a first update feature parameter; optimizing and updating the first manufacturer distribution data set according to the first update feature parameter to obtain first manufacturer information, and sending the first manufacturer information to the first material procurement enterprise. This solves the technical problem in the prior art that it is impossible to intelligently recommend suitable material manufacturers based on the needs of steel pipe material procurement enterprises. The manual comparison and evaluation of various manufacturers is labor-intensive and time-consuming, further affecting steel pipe production, reducing customer satisfaction, and even hindering the smooth development of steel pipe enterprises. It achieves the technical effect of intelligently recommending suitable material manufacturers by analyzing the needs of steel pipe material procurement enterprises and manufacturer distribution, reducing procurement costs, ensuring smooth steel pipe production, further improving customer satisfaction, and enabling enterprises to develop smoothly.

[0006] In view of the above problems, this application provides a method and system for procuring steel pipe materials.

[0007] In a first aspect, this application provides a method for procuring steel pipe materials. The method is implemented through a steel pipe material procurement system, comprising: obtaining a first set of manufacturer distribution data and first material procurement enterprise information in a first region based on big data; constructing a first screening virtual system, performing screening based on encrypted text alignment technology, and obtaining a first screening result; obtaining first intersection user information; obtaining a first calculation result; obtaining a second calculation result; performing encrypted interaction between the first calculation result and the second calculation result to generate a first update feature parameter; and optimizing and updating the first manufacturer distribution data set according to the first update feature parameter to obtain first manufacturer information, and sending the first manufacturer information to the first material procurement enterprise.

[0008] On the other hand, this application also provides a steel pipe material procurement system for executing a steel pipe material procurement method as described in the first aspect, wherein the system includes: a first obtaining unit: the first obtaining unit is used to obtain a first manufacturer distribution data set and first material procurement enterprise information in a first region based on big data, wherein the first manufacturer is a manufacturer that produces steel pipe materials; a first construction unit: the first construction unit is used to construct a first screening virtual system, and input the first manufacturer distribution data set and the first material procurement enterprise information into the first screening virtual system, and perform screening based on encrypted text alignment technology to obtain a first screening result; and a second obtaining unit: the second obtaining unit is used to obtain first intersection user information based on the first screening result. The third obtaining unit is used to perform intersection feature operations on the first manufacturer distribution data set and the first intersection user information to obtain a first operation result; the fourth obtaining unit is used to perform intersection feature operations on the first material procurement enterprise information and the first intersection user information to obtain a second operation result; the first generating unit is used to perform encrypted interaction on the first operation result and the second operation result to generate a first update feature parameter; the fifth obtaining unit is used to perform data optimization and update on the first manufacturer distribution data set according to the first update feature parameter to obtain the first manufacturer information, and send the first manufacturer information to the first material procurement enterprise.

[0009] Thirdly, embodiments of this application also provide a steel pipe material procurement system, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method described in the first aspect above.

[0010] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages: 1. By using big data analysis, a first set of manufacturer distribution data and first material procurement enterprise information in a first region are obtained, wherein the first manufacturer is a manufacturer that produces steel pipe materials. A first screening virtual system is constructed, and the first set of manufacturer distribution data and the first material procurement enterprise information are input into the first screening virtual system. Screening is performed based on encrypted text alignment technology to obtain a first screening result. Based on the first screening result, first intersection user information is obtained. The first manufacturer distribution data set and the first intersection user information are subjected to traversal intersection feature operations to obtain a first operation result. The first material procurement enterprise information and the first intersection user information are subjected to traversal intersection feature operations to obtain a second operation result. The first operation result and the second operation result are encrypted and interacted to generate a first update feature parameter. Based on the first update feature parameter, the first manufacturer distribution data set is optimized and updated to obtain the first manufacturer information, and the first manufacturer information is sent to the first material procurement enterprise. This achieves the technical effect of intelligently recommending suitable material manufacturers based on the needs of steel pipe material procurement enterprises, reducing procurement costs, ensuring the smooth production of steel pipes, further improving customer satisfaction, and enabling steel pipe material procurement enterprises to develop smoothly.

[0011] 2. By introducing a third-party virtual party to encrypt the exchange of relevant information between steel pipe material suppliers and steel pipe manufacturing enterprises, the system ensures that the data information of both parties is not leaked, and completes the real-time optimization and updating of data in the manufacturer distribution data set, thus ensuring the accuracy and efficiency of the steel pipe material procurement system in recommending manufacturers.

[0012] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0014] Figure 1 This is a flowchart illustrating a method for procuring steel pipe materials according to an embodiment of this application; Figure 2 This is a schematic diagram illustrating the process of optimizing and updating the first manufacturer distribution data set in a steel pipe material procurement method according to an embodiment of this application; Figure 3 This is a schematic diagram of the process for generating a first judgment result and a second judgment result in a steel pipe material procurement method according to an embodiment of this application; Figure 4 This is a flowchart illustrating the factory release authority in a steel pipe material procurement method according to an embodiment of this application; Figure 5 This is a schematic diagram of the structure of a steel pipe material procurement system according to an embodiment of this application; Figure 6 This is a schematic diagram of the structure of an exemplary electronic device according to an embodiment of this application.

[0015] Explanation of reference numerals in the attached figures: First obtaining unit 11, first building unit 12, second obtaining unit 13, third obtaining unit 14, fourth obtaining unit 15, first generating unit 16, fifth obtaining unit 17, bus 300, receiver 301, processor 302, transmitter 303, memory 304, bus interface 305. Detailed Implementation

[0016] This application provides a steel pipe material procurement method and system, solving the technical problems in the prior art where it is impossible to intelligently recommend suitable material suppliers based on the needs of steel pipe material procurement companies. The manual comparison and evaluation of various suppliers is labor-intensive and time-consuming, further impacting steel pipe production, reducing customer satisfaction, and even hindering the smooth development of steel pipe companies. The method achieves the technical effect of intelligently recommending suitable material suppliers through data analysis of the needs of steel pipe material procurement companies and the distribution of suppliers, reducing procurement costs, ensuring smooth steel pipe production, further improving customer satisfaction, and enabling the smooth development of enterprises.

[0017] The technical solutions in the embodiments of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0018] Application Overview Procurement is the entire process by which a company purchases products or services from suppliers as corporate resources under certain conditions. The procurement process includes formulating and implementing procurement policies, strategies, national standards, and improvement plans, as well as measuring procurement and supplier performance. As a business activity that ensures the normal operation of a company's production and business activities, it is the leading force in the company's supply chain management process. Procurement management seeks the optimal combination among factors such as price, quality, time, and service. Due to the different uses of different materials, the emphasis on these factors in procurement will inevitably differ.

[0019] A purchasing company's profit is directly proportional to the speed of logistics and information flow in the manufacturing and supply process. From the perspective of the overall supply chain, in order to obtain as much profit as possible, companies will try to accelerate the flow of materials and information. This requires relying on the power of procurement and giving full play to the role of suppliers. More than 60% of the cost of materials and related information are generated or come from suppliers. Therefore, it is of great significance to establish a system that intelligently recommends material suppliers based on the company's procurement needs.

[0020] Existing technologies cannot intelligently recommend suitable material suppliers based on the needs of steel pipe material procurement companies. The manual comparison and evaluation of various suppliers is labor-intensive and time-consuming, which further affects the production of steel pipes, reduces customer satisfaction of steel pipe companies, and even hinders the smooth development of steel pipe companies.

[0021] To address the aforementioned technical problems, the overall approach of the technical solution provided in this application is as follows: This application provides a method for procuring steel pipe materials. The method is applied to a steel pipe material procurement system, wherein the method includes: obtaining a first set of manufacturer distribution data and first material procurement enterprise information in a first region based on big data; constructing a first screening virtual system, performing screening based on encrypted text alignment technology, and obtaining a first screening result; obtaining first intersection user information; obtaining a first calculation result; obtaining a second calculation result; performing encrypted interaction between the first calculation result and the second calculation result to generate a first update feature parameter; and optimizing and updating the first set of manufacturer distribution data according to the first update feature parameter to obtain first manufacturer information, and sending the first manufacturer information to the first material procurement enterprise.

[0022] After introducing the basic principles of this application, various non-limiting embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0023] Example 1 Please see the appendix Figure 1 This application provides a method for procuring steel pipe materials, wherein the method is applied to a steel pipe material procurement system, and the method specifically includes the following steps: Step S100: Based on big data, obtain the distribution data set of the first manufacturers and the information of the first material procurement enterprises in the first region, wherein the first manufacturer is the manufacturer that prepares steel pipe materials; Specifically, the steel pipe material procurement method is applied to the steel pipe material procurement system. Based on the needs of steel pipe material procurement enterprises, the system intelligently recommends suitable material suppliers, helping them reduce procurement costs, ensuring smooth steel pipe production, and further improving customer satisfaction, thus enabling the smooth development of the enterprises. The first region refers to any area with steel pipe material suppliers or enterprises with steel pipe material needs. The first supplier distribution data set refers to the collection of relevant data such as product categories, geographical locations, sizes, and customer information of all steel pipe material suppliers within the first region. The first material procurement enterprise information refers to the collection of relevant data such as production raw materials, product categories, geographical locations, sizes, and customer information of all enterprises with steel pipe material needs within the first region, primarily including information related to steel pipe manufacturing enterprises.

[0024] Through big data, the technical effect of clearly identifying relevant information of all steel pipe manufacturers and steel pipe material suppliers within a specific region has been achieved, providing a data foundation for the subsequent intelligent matching of corresponding steel pipe material suppliers by the steel pipe material procurement system.

[0025] Step S200: Construct a first screening virtual system, and input the first manufacturer distribution data set and the first material procurement enterprise information into the first screening virtual system, perform screening based on encrypted text alignment technology, and obtain the first screening result; Step S300: Based on the first filtering result, obtain the first intersection user information; Specifically, the first screening virtual system stores all relevant information about all steel pipe manufacturers and steel pipe material suppliers within the first region. This information is used to intelligently filter specific information about relevant steel pipe manufacturers and steel pipe material suppliers based on specific needs. The first set of manufacturer distribution data and the first set of material purchasing company information within the first region are input into the first screening virtual system, and filtering is performed based on encrypted text alignment technology to obtain the corresponding filtering results, i.e., the first screening results. Further, based on the first screening results, common customer information for both steel pipe manufacturers and steel pipe material suppliers can be obtained, i.e., the intersection customer information between the first set of manufacturer distribution data and the first set of material purchasing company information, which is the first intersection user information. The first intersection user information includes relevant data such as the main business direction, production raw materials, product categories, geographical location, and scale of all intersection users.

[0026] By storing information on all steel pipe manufacturers and steel pipe material suppliers in a virtual screening system, it is possible to quickly retrieve and screen data on all steel pipe manufacturers and steel pipe material suppliers.

[0027] Step S400: Perform intersection feature operations on the first manufacturer distribution data set and the first intersection user information to obtain the first operation result; Step S500: Perform intersection feature calculations on the first material procurement enterprise information and the first intersection user information to obtain the second calculation result; Specifically, by performing a traversal intersection feature operation on all steel pipe material suppliers and their common customers within the first region, customers who have used materials supplied by steel pipe material suppliers can be identified. Similarly, by performing a traversal intersection feature operation on all steel pipe manufacturers and their common customers within the first region, customers who have used finished steel pipes produced by steel pipe manufacturers can be identified. The traversal intersection feature operation refers to visiting each node sequentially along a search path to obtain all intersecting customer information of the first manufacturer distribution data set and the first intersection user information. All customers who have used materials supplied by steel pipe material suppliers are the first calculation result; all customers who have used finished steel pipes produced by steel pipe manufacturers are the second calculation result.

[0028] By traversing the intersection feature operation, the data of all customers who have used materials supplied by steel pipe material suppliers and customers who have used finished steel pipe products prepared by steel pipe manufacturers were identified.

[0029] Step S600: Encrypt the first calculation result and the second calculation result to generate the first updated feature parameter; Specifically, the system encrypts all customers who have used materials supplied by steel pipe material suppliers and all customers who have used finished steel pipe products manufactured by steel pipe manufacturers, obtained through the intersection feature calculation. The processed customer information is then exchanged to identify customers who have used both materials supplied by steel pipe material suppliers and finished steel pipe products manufactured by steel pipe manufacturers. Based on this customer information, the first updated feature parameter is generated. This encrypted interaction completes the exchange between the first and second calculation results, improves the security of the steel pipe material procurement system, and achieves the technical effect of preventing the leakage of customer information related to steel pipe material suppliers and steel pipe manufacturers.

[0030] Step S700: Based on the first updated feature parameters, perform data optimization and update on the first manufacturer distribution data set to obtain the first manufacturer information, and send the first manufacturer information to the first material procurement enterprise.

[0031] Specifically, based on the encrypted interaction between the first and second calculation results to generate the first updated feature parameters, the first manufacturer distribution data set is optimized and updated to obtain steel pipe material suppliers that meet the needs of steel pipe manufacturers' customers. This first manufacturer information is then sent to the first material purchasing company. This achieves intelligent screening of steel pipe material suppliers that meet the customer requirements of the first material purchasing company, reducing the labor and time costs for the material purchasing company (i.e., the steel pipe manufacturer) in procuring materials, further improving customer satisfaction, and ultimately promoting the smooth development of the enterprise.

[0032] Further details are attached. Figure 2 As shown, step S700 in this embodiment further includes: Step S710: Based on the first manufacturer distribution data set, obtain the first evaluation distribution set, wherein the first evaluation is an evaluation of the quality of steel pipe materials prepared by each manufacturer; Step S720: Based on the information of the first material procurement enterprise, obtain the second evaluation distribution set, wherein the second evaluation is an evaluation of the finished steel pipe products prepared by the first material procurement enterprise; Step S730: Based on the first evaluation distribution set and the second evaluation distribution set, obtain the second intersection user information, wherein the second intersection users include the set of users who use the steel pipe finished products prepared by the first material procurement enterprise and give positive reviews on the quality of the steel pipe materials; Step S740: Based on the first intersection user information, perform vertical matching on the first manufacturer distribution data set to generate a first manufacturer set, and send it to the first material procurement enterprise.

[0033] Specifically, based on the set of relevant data such as product categories, geographical locations, scale, and customer information of all steel pipe material suppliers in the first manufacturer distribution data set, the overall quality of steel pipe materials provided by all steel pipe material suppliers in the first manufacturer distribution data set can be evaluated, which is the first evaluation distribution set; similarly, based on the set of relevant data such as production raw materials, product categories, geographical locations, scale, and customer information of all enterprises with steel pipe material needs in the first material procurement enterprise information, the overall quality of finished steel pipe products provided by all steel pipe manufacturing enterprises in the first material procurement enterprise information can be evaluated, which is the second evaluation distribution set.

[0034] Furthermore, based on the obtained first evaluation distribution set and second evaluation distribution set, a set of customers who used the finished steel pipes prepared by the first material procurement company and expressed positive feedback on the quality of the steel pipe materials can be obtained, which is the second intersection user information. Based on the intersection customer information in the first intersection user information and the first manufacturer distribution data set, vertical matching is performed on the first manufacturer distribution data set to obtain a set of all steel pipe material suppliers that satisfy the customers of the steel pipe manufacturing company, which is the first manufacturer set. The steel pipe material procurement system automatically sends the first manufacturer set to the first material procurement company for the first material procurement company, i.e., the steel pipe manufacturing company, to select and purchase from.

[0035] The intelligent screening system for steel pipe materials identifies suppliers that meet the needs of steel pipe manufacturers. This information is then sent to the primary material procurement company (i.e., the steel pipe manufacturer) for selection. This intelligent screening process reduces the procurement company's labor and time costs, improves customer satisfaction, and ultimately promotes the company's smooth development.

[0036] Furthermore, step S740 in this embodiment of the application also includes: Step S741: Obtain the first demand information of the first material purchasing company for the steel pipe material; Step S742: Obtain the price distribution set of the first set of manufacturers for the steel pipe material, as the first evaluation parameter; Step S743: Obtain the delivery time distribution set of the first set of manufacturers for the steel pipe material, as the second evaluation parameter; Step S744: Input the first evaluation parameter and the second evaluation parameter into the manufacturer evaluation model for evaluation training to obtain the first evaluation result; Step S745: Based on the first demand information and the first evaluation result, obtain the first manufacturer information and send the first manufacturer information to the first material procurement company.

[0037] Specifically, the demand for steel pipes from the first material purchasing company is input into the steel pipe material purchasing system; that is, the first demand information is input into the steel pipe material purchasing system. This first demand information includes material performance requirements, quantity, required delivery time, and delivery method.

[0038] Based on the first demand information, the pricing and delivery times of steel pipe material suppliers that meet the needs of steel pipe manufacturers are statistically analyzed, resulting in the price distribution set and the delivery time distribution set. These sets are then used as the first and second evaluation parameters, respectively, and input into the supplier evaluation model for training. This automatically yields information on steel pipe material suppliers that meet the first demand information. Simultaneously, a comprehensive evaluation result based on both price and delivery time is obtained for all suppliers meeting the first demand information. Finally, the first supplier information is automatically sent to the first material purchasing company, intelligently selecting steel pipe material suppliers that meet its customer requirements. Furthermore, considering the purchasing company's own procurement requirements, the pricing and delivery times of various steel pipe material suppliers are comprehensively considered to select suitable suppliers for procurement cooperation. This ensures customer satisfaction while reducing the purchasing company's labor and time costs during material procurement.

[0039] Further details are attached. Figure 3 As shown, step S800 in this embodiment further includes: Step S810: Based on the first manufacturer information, obtain the first batch of steel pipe material information required by the first material purchasing company; Step S820: Based on the information of the first batch of steel pipe materials, obtain the first theoretical weight information and the actual weighing information; Step S830: Obtain the first weight deviation value based on the first theoretical weight information and the actual weighing information; Step S840: Determine whether the first weight deviation value reaches the preset weight deviation value, generate the first judgment result, use it as the first factory quality inspection parameter, and upload it to the steel pipe material factory exit authority evaluation system for evaluation.

[0040] Specifically, based on the first manufacturer information obtained by the steel pipe material procurement system, the product information of the steel pipe materials provided by the corresponding steel pipe material supplier can be obtained. The steel pipe material information to be procured by the first material procurement enterprise is the first batch of steel pipe material information. The first batch of steel pipe material information required by the first material procurement enterprise includes information such as material product performance requirements, product quantity, product production date, supplier's delivery method, and delivery time.

[0041] Based on the information of the first batch of steel pipe materials, the designed weight and actual weight after production can be obtained, i.e., the first theoretical weight information and the actual weighing information. According to the obtained first theoretical weight information and the actual weighing information, the weight deviation value between the actual and theoretical weight of the steel pipe materials provided by each steel pipe material supplier can be obtained, which is the first weight deviation value. It is then determined whether the first weight deviation value reaches a preset weight deviation value, and a corresponding judgment result is generated, i.e., the first judgment result. The preset weight deviation value is the maximum weight deviation degree of the steel pipe material obtained in combination with actual needs, for example, the actual weight not exceeding 5% of the ideal weight.

[0042] The deviation weight value between the actual and ideal values ​​of the steel pipe material in the first judgment result is used as the first factory quality inspection parameter and uploaded to the steel pipe material factory exit authorization assessment system for evaluating the quality of the steel pipe material. This achieves the technical effect of intelligently completing the quality supervision of steel pipe materials.

[0043] Furthermore, step S810 in this embodiment of the application also includes: Step S811: Based on the camera, perform traversal image acquisition on the information of the first batch of steel pipe materials to obtain a first image set; Step S812: Based on the first image set, determine whether the appearance of the first batch of steel pipe materials meets the preset factory standards; Step S813: If the appearance of the first batch of steel pipe materials does not meet the preset factory standard, mark the appearance defect and generate the first mark image information; Step S814: Based on the first marked image information, determine whether there is steel pipe material residue at the appearance defect, generate a second judgment result, use it as a second factory quality inspection parameter, and upload it to the steel pipe material factory exit authority evaluation system for evaluation.

[0044] Specifically, the camera is communicatively connected to the steel pipe material procurement system and is used to acquire images of the first batch of steel pipe materials from multiple angles and distances. The resulting images of the first batch of steel pipe materials constitute the first image set. Further, based on the first image set, it is determined whether the appearance of the first batch of steel pipe materials meets the preset factory standards. The preset factory standards refer to the standards required by the steel pipe manufacturing enterprise for the appearance of the steel pipe materials. When the appearance of the first batch of steel pipe materials does not meet the preset factory standards, the steel pipe material procurement system automatically marks the defects in the appearance of the steel pipe materials that do not meet the preset factory standards, thereby generating first marked image information.

[0045] Based on the first marked image information, it is determined whether there is steel pipe material residue at the appearance defect location described in the first marked image information. The determination result is used to generate a second determination result, which is then uploaded to the steel pipe material outgoing authority evaluation system for evaluating the appearance shape of the steel pipe material. This achieves the technical effect of intelligently evaluating the appearance of steel pipe materials, ensuring that the materials purchased by steel pipe manufacturers meet the corresponding appearance requirements.

[0046] Further details are attached. Figure 3 As shown, step S800 in this embodiment further includes: Step S850: Determine whether the first factory inspection parameters and the second factory inspection parameters meet the preset steel pipe material factory parameters; Step S860: If both the first and second factory inspection parameters meet the preset steel pipe material factory parameters, generate the first factory release permission and release the first batch of steel pipe material information. Step S870: If the first or second factory inspection parameters meet the preset steel pipe material factory parameters, revoke the first factory authorization, re-inspect the first batch of steel pipe material information, and stop the preparation of the second batch of steel pipe material information.

[0047] Specifically, the steel pipe material procurement system automatically determines whether the first and second factory inspection parameters meet the preset steel pipe material factory parameters. If both the first and second factory inspection parameters meet the preset steel pipe material factory parameters, a first factory release authorization is automatically generated, and the first batch of steel pipe material information is released based on the first factory release authorization, and sent to the corresponding steel pipe manufacturing enterprise. The preset steel pipe material factory parameters refer to the weight and appearance standard parameters of the steel pipe material that meet the requirements of the steel pipe manufacturing enterprise.

[0048] If only one of the first or second factory inspection parameters meets the preset steel pipe material factory parameters, and the other inspection parameter does not meet the preset steel pipe material factory parameters, the steel pipe material procurement system will automatically revoke the first factory exit permission, re-inspect the first batch of steel pipe material information, and suspend the preparation of the second batch of steel pipe material information with the same parameters.

[0049] The steel pipe material procurement system automatically and in real-time inspects the weight and appearance parameters of steel pipe materials, achieving dynamic management of steel pipe material quality inspection. When the quality meets the factory parameters, the system automatically grants the right to leave the factory. For steel pipe materials that do not meet the factory parameters, the system re-inspects the quality and suspends the preparation of the second batch of steel pipe materials. This timely halts the production of non-compliant materials, reduces the defect rate of the company's materials, and mitigates the company's losses.

[0050] Further details are attached. Figure 4 As shown, step S600 in this embodiment further includes: Step S610: Obtain the first public key information of the third virtual collaborator; Step S620: Based on the first public key information, encrypt the first operation result and the second operation result respectively to generate the first encryption result and the second encryption result in sequence; Step S630: Interact and share the first encryption result and the second encryption result to obtain the first update parameter of the first manufacturer distribution data set and the second update parameter of the first material purchasing enterprise; Step S640: Mask the first update parameter and the second update parameter respectively, and send them to the third virtual collaborator for parameter fusion to generate the first update feature parameter.

[0051] Specifically, the first public key information of a third virtual collaborator is obtained. This third virtual collaborator refers to a third party used to compare information related to steel pipe suppliers and steel pipe manufacturers. The first public key information is a public key provided by the third virtual collaborator, obtained through an algorithm, and is used to encrypt the first and second computation results. Based on the first public key information, a first encrypted result and a second encrypted result can be obtained after encrypting the first and second computation results.

[0052] Furthermore, the first encryption result and the second encryption result are interactively shared to obtain the first update parameters of the first vendor distribution data set and the second update parameters of the first material purchasing enterprise. Masks are added to the first update parameters and the second update parameters respectively, and they are sent to the third virtual collaborator for fusion. The fused parameters generate the first update feature parameters. Specifically, the first encryption result and the second encryption result are interactively shared through a secure communication channel, and based on a secure multi-party computation protocol, such as a private set intersection protocol based on unintentional transmission or collaborative computation under homomorphic encryption, the correlation or matching degree between the two sets of data is calculated without decryption. The calculation result is the first update parameters of the first vendor distribution data set and the second update parameters of the first material purchasing enterprise. Differential privacy technology is used to add random noise masks with a certain distribution, such as Laplace noise or Gaussian noise, to the first update parameter and the second update parameter respectively. This prevents the third virtual collaborator from retrieving the original value after receiving the masked data. The third virtual collaborator performs a predetermined aggregation operation on the two masked update parameters, such as weighted average. The weights can be set according to the actual situation to generate the final first update feature parameter.

[0053] By introducing a third-party virtual party to encrypt the exchange of relevant information between steel pipe material suppliers and steel pipe manufacturing enterprises, the system ensures that the data information of both parties is not leaked, and completes the real-time optimization and updating of data in the manufacturer distribution data set, thus ensuring the accuracy and efficiency of the steel pipe material procurement system in recommending manufacturers.

[0054] In summary, the steel pipe material procurement method provided in this application has the following technical effects: 1. By leveraging big data, a first set of manufacturer distribution data and first material procurement enterprise information for a first region are obtained, where the first manufacturer is a manufacturer producing steel pipe materials. A first screening virtual system is constructed, and the first set of manufacturer distribution data and the first material procurement enterprise information are input into the first screening virtual system. Screening is performed based on encrypted text alignment technology to obtain a first screening result. Based on the first screening result, first intersection user information is obtained. Intersection feature operations are performed on the first set of manufacturer distribution data and the first intersection user information to obtain a first operation result. Intersection feature operations are performed on the first material procurement enterprise information and the first intersection user information to obtain a second operation result. The first operation result and the second operation result are encrypted and interacted to generate a first update feature parameter. Based on the first update feature parameter, the first set of manufacturer distribution data is optimized and updated to obtain the first manufacturer information, which is then sent to the first material procurement enterprise. This achieves the technical effect of intelligently recommending suitable material manufacturers based on the needs of steel pipe material procurement enterprises, reducing procurement costs, ensuring the smooth production of steel pipes, further improving customer satisfaction, and enabling the smooth development of steel pipe material procurement enterprises.

[0055] 2. By introducing a third-party virtual party to encrypt the exchange of relevant information between steel pipe material suppliers and steel pipe manufacturing enterprises, the system ensures that the data information of both parties is not leaked, and completes the real-time optimization and updating of data in the manufacturer distribution data set, thus ensuring the accuracy and efficiency of the steel pipe material procurement system in recommending manufacturers.

[0056] Example 2

[0057] Based on the steel pipe material procurement method described in the foregoing embodiments, and using the same inventive concept, this invention also provides a steel pipe material procurement system. Please refer to the appendix. Figure 5 The system includes: First obtaining unit 11: The first obtaining unit 11 is used to obtain a first manufacturer distribution data set and first material procurement enterprise information in a first region based on big data, wherein the first manufacturer is a manufacturer that prepares steel pipe materials; First construction unit 12: The first construction unit 12 is used to construct a first screening virtual system, and input the first manufacturer distribution data set and the first material procurement enterprise information into the first screening virtual system, and perform screening based on encrypted text alignment technology to obtain the first screening result; Second obtaining unit 13: The second obtaining unit 13 is used to obtain the first intersection user information based on the first filtering result; Third obtaining unit 14: The third obtaining unit 14 is used to perform traversal intersection feature operation on the first manufacturer distribution data set and the first intersection user information to obtain the first operation result; Fourth obtaining unit 15: The fourth obtaining unit 15 is used to perform traversal intersection feature operation on the first material procurement enterprise information and the first intersection user information to obtain a second operation result; First generation unit 16: The first generation unit 16 is used to perform encrypted interaction between the first operation result and the second operation result to generate a first updated feature parameter; Fifth obtaining unit 17: The fifth obtaining unit 17 is used to optimize and update the first manufacturer distribution data set according to the first update feature parameter, obtain the first manufacturer information, and send the first manufacturer information to the first material procurement enterprise.

[0058] Furthermore, the system also includes: The sixth obtaining unit is used to obtain a first evaluation distribution set based on the first manufacturer distribution data set, wherein the first evaluation is an evaluation of the quality of steel pipe materials prepared by each manufacturer; The seventh obtaining unit is used to obtain a second evaluation distribution set based on the first material procurement enterprise information, wherein the second evaluation is an evaluation of the finished steel pipe products prepared by the first material procurement enterprise. The eighth obtaining unit is used to obtain second intersection user information based on the first evaluation distribution set and the second evaluation distribution set, wherein the second intersection users include a set of users who use the finished steel pipes prepared by the first material procurement enterprise and give positive reviews on the quality of the steel pipe materials; The second generation unit is used to perform vertical matching on the first manufacturer distribution data set based on the first intersection user information, generate a first manufacturer set, and send it to the first material procurement enterprise.

[0059] Furthermore, the system also includes: The ninth obtaining unit is used to obtain the first demand information of the first material purchasing enterprise for the steel pipe material; The tenth obtaining unit is used to obtain the price distribution set of the steel pipe material from the first set of manufacturers, as the first evaluation parameter; The eleventh obtaining unit is used to obtain the delivery time distribution set of the steel pipe material from the first set of manufacturers, as the second evaluation parameter; The twelfth obtaining unit is used to input the first evaluation parameter and the second evaluation parameter into the manufacturer evaluation model for evaluation training to obtain the first evaluation result; The thirteenth obtaining unit is used to obtain the first manufacturer information based on the first demand information and the first evaluation result, and send the first manufacturer information to the first material procurement enterprise.

[0060] Furthermore, the system also includes: The fourteenth obtaining unit is used to obtain the first batch of steel pipe material information required by the first material purchasing enterprise based on the first manufacturer information. The fifteenth obtaining unit is used to obtain the first theoretical weight information and the actual weighing information based on the first batch of steel pipe material information; The sixteenth obtaining unit is used to obtain a first weight deviation value based on the first theoretical weight information and the actual weighing information. The third generation unit is used to determine whether the first weight deviation value reaches the preset weight deviation value, generate a first judgment result, and use it as the first factory quality inspection parameter, and upload it to the steel pipe material factory exit authority evaluation system for evaluation.

[0061] Furthermore, the system also includes: The seventeenth obtaining unit is used to collect images of the first batch of steel pipe material information based on the camera, and obtain a first image set. The first judgment unit is used to determine whether the appearance of the first batch of steel pipe materials meets the preset factory standards based on the first image set. The fourth generation unit is used to mark the appearance defects and generate first mark image information if the appearance of the first batch of steel pipe materials does not meet the preset factory standard. The fifth generation unit is used to determine whether there is steel pipe material residue at the appearance defect based on the first marked image information, generate a second judgment result, use it as a second factory quality inspection parameter, and upload it to the steel pipe material factory exit authority evaluation system for evaluation.

[0062] Furthermore, the system also includes: The second judgment unit is used to determine whether the first factory quality inspection parameters and the second factory quality inspection parameters meet the preset steel pipe material factory parameters. The sixth generation unit is used to generate a first delivery permission and to deliver the first batch of steel pipe material information if both the first and second factory quality inspection parameters meet the preset steel pipe material delivery parameters. The first cancellation unit is used to cancel the first factory release authority, re-inspect the first batch of steel pipe material information, and stop the preparation of the second batch of steel pipe material information if the first factory quality inspection parameters or the second factory quality inspection parameters meet the preset steel pipe material factory parameters.

[0063] Furthermore, the system also includes: The eighteenth obtaining unit is used to obtain the first public key information of the third virtual collaborator; The seventh generation unit is used to encrypt the first operation result and the second operation result respectively according to the first public key information, and generate the first encryption result and the second encryption result in sequence. The nineteenth obtaining unit is used to interactively share the first encryption result and the second encryption result to obtain the first update parameter of the first manufacturer distribution data set and the second update parameter of the first material purchasing enterprise. The eighth generation unit is used to add masks to the first update parameter and the second update parameter respectively, and send them to the third virtual collaborator for parameter fusion to generate the first update feature parameter.

[0064] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Figure 1 The steel pipe material procurement method and specific examples in Embodiment 1 are also applicable to the steel pipe material procurement system of this embodiment. Through the foregoing detailed description of the steel pipe material procurement method, those skilled in the art can clearly understand the steel pipe material procurement system of this embodiment; therefore, for the sake of brevity, it will not be described in detail here. As for the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant details can be found in the method section.

[0065] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0066] Exemplary electronic devices The following is for reference. Figure 6 The electronic device described in the embodiments of this application is used to illustrate this application.

[0067] Figure 6 The figure shows a schematic diagram of the structure of an electronic device according to an embodiment of the present application.

[0068] Based on the inventive concept of the steel pipe material procurement method in the foregoing embodiments, the present invention also provides a steel pipe material procurement system, which stores a computer program that, when executed by a processor, implements the steps of any of the steel pipe material procurement methods described above.

[0069] Among them, Figure 6 In this document, a bus architecture (represented by bus 300) is used. Bus 300 may include any number of interconnected buses and bridges, linking various circuits including one or more processors represented by processor 302 and memory represented by memory 304. Bus 300 may also link various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, i.e., a transceiver, providing a unit for communicating with various other devices over a transmission medium.

[0070] The processor 302 is responsible for managing the bus 300 and general processing, while the memory 304 can be used to store the data used by the processor 302 when performing operations.

[0071] This application provides a method for procuring steel pipe materials. The method is applied to a steel pipe material procurement system, comprising: obtaining a first set of manufacturer distribution data and first material procurement enterprise information in a first region based on big data; constructing a first screening virtual system, performing screening based on encrypted text alignment technology, and obtaining a first screening result; obtaining first intersection user information; obtaining a first calculation result; obtaining a second calculation result; performing encrypted interaction on the first and second calculation results to generate a first update feature parameter; and optimizing and updating the first manufacturer distribution data set according to the first update feature parameter to obtain first manufacturer information, and sending the first manufacturer information to the first material procurement enterprise. This solves the technical problem in the prior art where it is impossible to intelligently recommend suitable material manufacturers based on the needs of steel pipe material procurement enterprises. The manual comparison and evaluation of various manufacturers is labor-intensive and time-consuming, further affecting steel pipe production, reducing customer satisfaction, and even hindering the smooth development of steel pipe enterprises. This method achieves the technical effect of intelligently recommending suitable material manufacturers based on the needs of steel pipe material procurement enterprises, reducing procurement costs, ensuring smooth steel pipe production, further improving customer satisfaction, and enabling smooth enterprise development.

[0072] Those skilled in the art will understand that embodiments of this application can be provided as methods, apparatus, or computer program products. Therefore, this application can take the form of a completely software embodiment, a completely hardware embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application is in the form of a computer program product that can be implemented on one or more computer-usable storage media containing computer-usable program code. Such computer-usable storage media include, but are not limited to, various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), disk storage, compact disc read-only memory (CD-ROM), and optical storage.

[0073] 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 system that specifies functions in one or more boxes.

[0074] 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 an instruction set implemented in a process. Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0075] 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 functions specified in one or more boxes. 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, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0076] 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 this invention and its equivalents, this invention also intends to include these modifications and variations.

Claims

1. A steel pipe material procurement method, the method being applied to a steel pipe material procurement system, wherein, The method comprises: obtaining a first manufacturer distribution data set and first material purchasing enterprise information of a first region based on big data, wherein the first manufacturer is a manufacturer of steel pipe materials; constructing a first screening virtual system, inputting the first manufacturer distribution data set and the first material purchasing enterprise information into the first screening virtual system, screening based on encrypted text alignment technology, and obtaining a first screening result; obtaining first intersection user information according to the first screening result; performing traversal intersection feature operation on the first manufacturer distribution data set and the first intersection user information to obtain a first operation result; performing traversal intersection feature operation on the first material purchasing enterprise information and the first intersection user information to obtain a second operation result; performing encrypted interaction on the first operation result and the second operation result to generate a first updated feature parameter, including: obtaining first public key information of a third virtual collaboration party; encrypting the first operation result and the second operation result respectively based on the first public key information to sequentially generate a first encrypted result and a second encrypted result; sharing the first encrypted result and the second encrypted result through a secure communication channel, calculating the correlation or matching degree between the data of the two parties without decryption based on a secure multi-party computation protocol, obtaining a first updated parameter of the first manufacturer distribution data set and a second updated parameter of the first material purchasing enterprise; adding random noise masks to the first updated parameter and the second updated parameter respectively by using differential privacy technology, so that the third virtual collaboration party cannot reverse the original value after receiving the masked data, and the third virtual collaboration party performs a predetermined aggregation operation on the two updated parameters after masking to generate the first updated feature parameter; performing data optimization update on the first manufacturer distribution data set based on the first updated feature parameter to obtain first manufacturer information, and sending the first manufacturer information to a first material purchasing enterprise.

2. The method of claim 1, wherein, The data optimization update on the first manufacturer distribution data set further comprises: obtaining a first evaluation distribution set based on the first manufacturer distribution data set, wherein the first evaluation is an evaluation of the quality of steel pipe materials prepared by each manufacturer; obtaining a second evaluation distribution set based on the first material purchasing enterprise information, wherein the second evaluation is an evaluation of the finished steel pipe products prepared by the first material purchasing enterprise; obtaining second intersection user information based on the first evaluation distribution set and the second evaluation distribution set, wherein the second intersection user includes a user set that uses the finished steel pipe products prepared by the first material purchasing enterprise and gives good evaluations on the quality of steel pipe materials; performing longitudinal matching on the first manufacturer distribution data set based on the first intersection user information to generate a first manufacturer set and send it to the first material purchasing enterprise.

3. The method of claim 2, wherein, Before sending to the first material purchasing enterprise, it further comprises: obtaining first demand information of the first material purchasing enterprise for the steel pipe materials; obtaining a price distribution set of the first manufacturer set for the steel pipe materials as a first evaluation parameter; obtain a delivery time distribution set of the steel pipe material of the first manufacturer set as a second evaluation parameter; input the first evaluation parameter and the second evaluation parameter into a manufacturer evaluation model for evaluation training to obtain a first evaluation result; obtain the first manufacturer information according to the first demand information and the first evaluation result, and send the first manufacturer information to the first material purchasing enterprise.

4. The method of claim 1, wherein, The method further comprises: obtain first batch steel pipe material information required by the first material purchasing enterprise according to the first manufacturer information; obtain first theoretical weight information and actual weighing information based on the first batch steel pipe material information; obtain a first weight deviation value according to the first theoretical weight information and the actual weighing information; determine whether the first weight deviation value reaches a preset weight deviation value, generate a first judgment result, and take it as a first factory quality inspection parameter and upload it to a steel pipe material factory permission evaluation system for evaluation.

5. The method of claim 4, wherein, The method further comprises: based on the camera, perform traversal image acquisition on the first batch steel pipe material information to obtain a first image set; determine whether the appearance of the first batch steel pipe material meets a preset factory standard according to the first image set; if the appearance of the first batch steel pipe material does not meet the preset factory standard, mark the appearance defect to generate first marked image information; determine whether there is steel pipe material dregs at the appearance defect according to the first marked image information, generate a second judgment result, and take it as a second factory quality inspection parameter and upload it to a steel pipe material factory permission evaluation system for evaluation.

6. The method of claim 5, wherein, The method further comprises: determine whether the first factory quality inspection parameter and the second factory quality inspection parameter meet a preset steel pipe material factory parameter; if the first factory quality inspection parameter and the second factory quality inspection parameter both meet the preset steel pipe material factory parameter, generate a first factory permission, and the first batch steel pipe material information is factory; if the first factory quality inspection parameter or the second factory quality inspection parameter meets the preset steel pipe material factory parameter, the first factory permission is revoked, the first batch steel pipe material information is rechecked, and the preparation of the second batch steel pipe material information is stopped.

7. A steel pipe material procurement system wherein, The system comprises: a first obtaining unit: the first obtaining unit is used for obtaining a first manufacturer distribution data set and first material purchasing enterprise information of a first region based on big data, wherein the first manufacturer is a manufacturer of steel pipe material; a first construction unit: the first construction unit is used for constructing a first screening virtual system, inputting the first manufacturer distribution data set and the first material purchasing enterprise information into the first screening virtual system, and screening based on encrypted text alignment technology to obtain a first screening result; a second obtaining unit: the second obtaining unit is used for obtaining first intersection user information according to the first screening result; a third obtaining unit: the third obtaining unit is used for performing traversal intersection feature operation on the first manufacturer distribution data set and the first intersection user information to obtain a first operation result; The fourth obtaining unit is configured to perform intersection feature operation on the first material purchasing enterprise information and the first intersection user information to obtain a second operation result; The first generating unit is configured to perform encrypted interaction on the first operation result and the second operation result to generate a first updated feature parameter, including: obtaining first public key information of a third virtual collaboration party; encrypting the first operation result and the second operation result respectively according to the first public key information to sequentially generate a first encrypted result and a second encrypted result; and sharing the first encrypted result and the second encrypted result through a secure communication channel, calculating the correlation or matching degree between the data of the two parties without decryption based on a secure multi-party computing protocol to obtain a first updated parameter of the first manufacturer distribution data set and a second updated parameter of the first material purchasing enterprise; and adding random noise masks to the first updated parameter and the second updated parameter respectively by using differential privacy technology, so that the third virtual collaboration party cannot reverse the original value after receiving the masked data, and the third virtual collaboration party performs predetermined aggregation operation on the two updated parameters after the masking to generate the first updated feature parameter; The fifth obtaining unit is configured to perform data optimization update on the first manufacturer distribution data set according to the first updated feature parameter to obtain first manufacturer information, and send the first manufacturer information to the first material purchasing enterprise.

8. A steel pipe material procurement system comprising a storage, a processor, and a computer program stored on the storage and executable on the processor, wherein, The processor implements the steps of the method in any one of claims 1-6 when executing the program.

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