Electronic tag reading and display method and reading device based on commodity dynamic information

Abstract

The present invention belongs to the field of large electronic tags, and in particular, relates to an electronic tag reading and display method and a reading device based on dynamic commodity information. The method captures the electronic tag information of a commodity selected by a user through a radio frequency reading device, and quickly identifies and obtains a unique identifier of the commodity; secondly, combining the commodity identifier with the user's past search records, using an entity-relationship extraction algorithm, a knowledge graph and a graph database to trace and construct an associated information chain of the selected commodity in a commodity dynamic associated information database, which not only covers directly related commodities, but also updates the latest information of these associated commodities in real time; finally, the latest commodity information of the selected commodity and its associated commodities is presented through a set display terminal; the method significantly improves the efficiency of dynamic display and recommendation of commodity information, and provides consumers with a real-time shopping experience.

Description

Technical Field

[0001] The present invention belongs to the field of electronic tags, and in particular relates to an electronic tag reading and displaying method and a reading device based on commodity dynamic information. Background Art

[0002] With the rapid development of Internet of Things technology, electronic tags (RFID tags) are increasingly used in retail, logistics, asset management and other fields. Traditional electronic tag information reading methods mainly rely on radio frequency identification (RFID) technology, which obtains tag information through wireless communication between the reader and the tag; for example, the Chinese patent application with publication number CN106203556A discloses a method and device for reading electronic tag information, which reads information by scanning the QR code on the electronic tag. Although this method simplifies the equipment requirements and only requires a camera, the QR code is easily damaged, has limited information capacity, and depends on the clarity of the tag surface, which limits its application scope and reliability. On the other hand, a Chinese patent with authorization announcement number CN104809421B discloses a method and device for reading electronic tags. It adopts multi-channel listening technology and reads electronic tag data by dynamically selecting channels with good signal-to-noise ratio. Although the communication quality is improved, it needs to be equipped with complex readers and writers and multi-channel communication systems, which increases costs and system complexity. Therefore, the existing technology has obvious defects in simplifying equipment, improving information reading reliability and reducing costs. There is an urgent need for a new electronic tag information reading method that can overcome the limitations of QR code technology and avoid complex communication systems.

[0003] The above existing technologies have the following problems: most of the existing electronic tag information is fixed tag information, and after being read by a device, only the information stored in the tag can be displayed, but the dynamic change information of the product cannot be reflected, and the existing tag information only contains the information of the corresponding product and cannot realize the associated recommendation of the product. For this reason, the present invention provides an electronic tag reading and display method and a reading device based on the dynamic information of the product. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention proposes an electronic tag reading and display method and a reading device based on dynamic information of commodities. The method captures the electronic tag information of commodities selected by users through a radio frequency reading device, and quickly identifies and obtains the unique identification of commodities; secondly, the commodity identification and the user's past search records are combined, and the entity-relationship extraction algorithm, knowledge graph and graph database are used to trace and construct the associated information chain of the selected commodities in the commodity dynamic associated information library. This chain not only covers directly related commodities, but also updates the latest information of these related commodities in real time; finally, the latest commodity information of the selected commodity and its related commodities is presented through a set display terminal; the method significantly improves the efficiency of dynamic display and recommendation of commodity information, and provides consumers with a real-time shopping experience.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] The electronic tag reading and display method based on commodity dynamic information includes:

[0007] S1. Read the electronic tag of the product selected by the user through a radio frequency reading device to obtain the corresponding product identification;

[0008] S2. Determine, based on the commodity identifier and the historical search information provided by the user, a related information chain of the selected commodity in a commodity dynamic related information database; the related information chain includes the latest commodity information of commodities related to the selected commodity;

[0009] S3. Displaying the latest product information of the selected product and related products through the setting terminal according to the related information chain;

[0010] The steps to build the associated information chain include:

[0011] S201, obtaining and preprocessing basic information of each product, single preferential policy information, joint preferential policy information, user registration member information, and historical product browsing and purchase information, to obtain a preprocessed product information text sequence and a user transaction information text sequence;

[0012] S202, obtaining a product information triple and a user transaction information triple through an entity-relationship extraction algorithm according to the preprocessed product information text sequence and the user transaction information text sequence;

[0013] S203. According to the product information triples and the user transaction information triples, obtain the product information dynamic node library and the user history preference product node library in sequence through the knowledge graph and the graph database; the user history preference product node library includes the user's commonly browsed products and preferred products.

[0014] Specifically, the steps of building the associated information chain also include:

[0015] S204, assuming that the current product information dynamic node library includes K product information nodes, using the basic product information and single discount policy information in the K product information nodes to construct a related information input sequence;

[0016] S205, according to the association information input sequence, using the association rule algorithm, obtain the corresponding association degree between each commodity and the remaining K-1 commodities;

[0017] S206, the obtained The association degree is mapped to the connection relationship chain between the corresponding two commodity information nodes in the commodity information dynamic node library to obtain the primary commodity association information chain.

[0018] Specifically, the steps of building the associated information chain also include:

[0019] S207, assuming that the current joint preferential policy information includes M kinds of commodities, according to the primary commodity association information chain and the corresponding commodity information in the current joint preferential policy information, through the association rule algorithm, obtain the secondary association degree between each of the M kinds of commodities and the remaining M-1 kinds of commodities;

[0020] S208, will obtain The secondary association degrees are mapped to the connection relationship chain between the corresponding two commodity information nodes contained in the joint preferential policy information in the primary commodity association information chain to obtain the secondary commodity association information chain.

[0021] Specifically, the steps of building the associated information chain also include:

[0022] S209: When the user is a member user, obtain the current user's historical transaction commodity types and browsing and transaction frequency data through the user's historical preference commodity node library;

[0023] S210, obtaining the degree of matching between the user's historical transaction commodity types and browsing and transaction frequency data and the commodity information in the commodity information dynamic node library through a matching algorithm;

[0024] S211. Map the obtained product matching degree and the browsing and transaction frequency data of the corresponding type of products to the primary product association information chain and the secondary product association information chain, and obtain the enhanced primary product association information chain and the enhanced secondary product association information chain in turn.

[0025] Specifically, the specific steps of S3 include:

[0026] S301, obtaining the commodity ID corresponding to the currently selected commodity, and using the configured user member interface to determine whether the current user is a member user, if so, obtaining the corresponding user's historical commodity transaction information from the user's historical preference commodity node library;

[0027] S302, by obtaining the commodity identifier corresponding to the selected commodity, determine whether the current commodity has single preferential policy information or joint preferential policy information; if the current commodity has no preferential policy information or only single preferential policy information, and the current user is a non-member user, call the primary commodity related information chain to obtain the related commodity type information and the corresponding correlation degree corresponding to the commodity selected by the current user;

[0028] S303: Set a correlation information threshold, use products with correlation greater than the correlation information threshold as related products corresponding to the product currently selected by the user, and use the product currently selected by the user and the corresponding related products to build a product information display table, and at the same time, sort the related products in descending order according to the correlation degree, and push the descending sorted product information display table to the corresponding user.

[0029] Specifically, the specific steps of S3 also include:

[0030] S304: If the currently selected product has joint discount policy information and the current user is a non-member user, call the secondary product association information chain to obtain the associated product type information and the corresponding association degree corresponding to the product selected by the current user, and repeat the S303 process to obtain the corresponding product information display table for push display;

[0031] S305. If there is no preferential policy information or only a single preferential policy information for the currently selected product, and the current user is a member user, call the enhanced primary product related information chain to obtain the related product type information and the corresponding correlation degree corresponding to the product selected by the current user, and repeat the S303 process to obtain the corresponding product information display table for push display;

[0032] S306. If the currently selected product has joint discount policy information and the current user is a member user, call the enhanced secondary product association information chain to obtain the associated product type information and the corresponding association degree corresponding to the product selected by the current user, and repeat the S303 process to obtain the corresponding product information display table for push display.

[0033] Specifically, the specific steps of S3 also include:

[0034] S307: Based on the user's historical preference product node library, obtain the user's historical product browsing frequency and purchase frequency, and use the browsing frequency and purchase frequency to obtain the corresponding user's purchase desire ratio for each product, specifically: ,in, Indicates the proportion of the current user's purchase intention for the i-th product in the user's historical preference product node library, Indicates the purchase frequency of the i-th product by the current user in the user's historical preference product node library. Indicates the browsing frequency of the i-th product by the current user in the user's historical preference product node library;

[0035] S308: Setting purchase preference threshold ,when Greater than , then the corresponding product is the user's preferred product, otherwise it is a common browsing product for the user;

[0036] S309: When the product information display table corresponding to the processes S305 and S306 only contains products that are normally browsed by the user, the product information in the product information display table remains unchanged;

[0037] S310, when there is only one user preferred product, the corresponding related product is placed at the first position in the process of descending arrangement of related products. If there is more than one user preferred product, the user preferred product is arranged in descending order first, and then the remaining products are arranged in descending order to obtain a preferred product information display table;

[0038] S311. Update the products browsed or purchased by the user in the S305-S310 process to the user's historical preference product node library. At the same time, use the update trigger mechanism built in the corresponding associated information in the S302-S310 process to monitor the product information dynamic node library in real time. When the product information corresponding to the product information dynamic node library changes, the product information display table corresponding to the current user is updated in real time through the update trigger mechanism.

[0039] An electronic tag reading and display device based on commodity dynamic information includes: a radio frequency identification device, an associated search module and a recommendation display module;

[0040] A radio frequency identification device is used to read the electronic tag of the commodity selected by the user and obtain the corresponding commodity identification;

[0041] An associated search module, used to determine an associated information chain of the selected product in a dynamic associated information database of products according to the product identifier and the historical search information provided by the user; the associated information chain includes the latest product information of the associated products with the selected product;

[0042] The recommendation display module is used to display the latest product information of the selected product and related products through the setting terminal according to the related information chain.

[0043] A computer-readable storage medium stores computer instructions, which, when executed, execute an electronic tag reading and display method based on commodity dynamic information.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] In view of the deficiencies in the prior art, the present invention obtains the product identification through a radio frequency reading device, and combines the user's historical search information to dynamically determine the associated information chain of the selected product, and display the information of the latest product and its associated products. This method overcomes the limitations of the existing electronic tag information being fixed, unable to reflect the dynamic changes of the product and lacking associated recommendations; in addition, the real-time update mechanism ensures the accuracy and timeliness of the information, avoids decision-making errors caused by information lag, and provides a more flexible and efficient solution for the retail industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is a flow chart of a method for reading and displaying an electronic tag based on commodity dynamic information according to Embodiment 1 of the present invention;

[0047] Figure 2 A scene diagram showing an electronic tag reading device according to Embodiment 2 of the present invention;

[0048] Figure 3 This is a module diagram of the electronic tag reading and display system according to Embodiment 2 of the present invention.

[0049] Description of reference numerals:

[0050] 001. Reading and displaying equipment body; 002. Radio frequency identification device; 003. Interactive display interface; 004. Electronic tag reading and displaying system. DETAILED DESCRIPTION

[0051] Example 1

[0052] See also Figure 1 The present invention provides an embodiment: an electronic tag reading and display method based on commodity dynamic information, which is applied to a scene such as a supermarket where commodity settlement can be performed automatically, and the steps include:

[0053] S1. Read the electronic tag of the product selected by the user through a radio frequency reading device to obtain the corresponding product identification;

[0054] S2. Determine the associated information chain of the selected product in the dynamic associated information library of the product according to the product identifier and the historical search information provided by the user; further, in this embodiment, the associated information chain includes the latest product information of the associated products with the selected product;

[0055] Furthermore, the steps of constructing the association information chain in this embodiment include:

[0056] S201, obtaining and preprocessing basic information of each product, single preferential policy information, joint preferential policy information, user registration member information, and historical product browsing and purchase information, to obtain a preprocessed product information text sequence and a user transaction information text sequence;

[0057] Furthermore, the single preferential policy information in this embodiment is a preferential price reduction policy for a single type of commodity; the joint preferential policy information is a price preferential policy for joint packaging or full-price reduction for multiple commodities;

[0058] S202, obtaining a product information triple and a user transaction information triple through an entity-relationship extraction algorithm according to the preprocessed product information text sequence and the user transaction information text sequence;

[0059] Furthermore, in order to better illustrate the product information triple and the user transaction information triple in this embodiment, for example, corresponding to the product information triple, assuming that there is a smart watch, its product information triple may be (smart watch, with heart rate monitoring function, 50 yuan off for purchases over 300 yuan). In this triple, "smart watch" is the product name, representing the basic category of the product; "with heart rate monitoring function" describes the key attributes of the product, belongs to the basic information of the product, and allows users to quickly understand the characteristics of the product; "50 yuan off for purchases over 300 yuan" belongs to the single discount policy information, indicating the current price discount method of the product;

[0060] For user transaction information triples: Take user Xiao Li as an example. He browsed and purchased a smart watch on the e-commerce platform. The corresponding user transaction information triple can be (Xiao Li, purchase, smart watch). Among them, "Xiao Li" represents the user identity; "purchase" reflects the transaction behavior between the user and the product; "smart watch" is the product involved in the transaction, reflecting the user's transaction object. This triple clearly records the purchase transaction behavior between user Xiao Li and the smart watch. Combining a large number of similar triples, the user's transaction history and preference information can be constructed.

[0061] S203, according to the product information triples and the user transaction information triples, through the knowledge graph and the graph database, sequentially obtain a product information dynamic node library and a user historical preference product node library;

[0062] Furthermore, in this embodiment, the user's historical preferred commodity node library includes the user's commonly browsed commodities and preferred commodities.

[0063] S204, assuming that the current product information dynamic node library includes K product information nodes, using the basic product information and single discount policy information in the K product information nodes to construct a related information input sequence;

[0064] S205, according to the association information input sequence, using the association rule algorithm, obtain the corresponding association degree between each commodity and the remaining K-1 commodities;

[0065] S206, the obtained The association degree is mapped to the connection relationship chain between the corresponding two commodity information nodes in the commodity information dynamic node library to obtain the primary commodity association information chain.

[0066] S207, assuming that the current joint preferential policy information includes M kinds of commodities, according to the primary commodity association information chain and the corresponding commodity information in the current joint preferential policy information, through the association rule algorithm, obtain the secondary association degree between each of the M kinds of commodities and the remaining M-1 kinds of commodities;

[0067] S208, will obtain The secondary association degrees are mapped to the connection relationship chain between the corresponding two commodity information nodes contained in the joint preferential policy information in the primary commodity association information chain to obtain the secondary commodity association information chain.

[0068] S209: When the user is a member user, obtain the current user's historical transaction commodity types and browsing and transaction frequency data through the user's historical preference commodity node library;

[0069] S210, obtaining the degree of matching between the user's historical transaction commodity types and browsing and transaction frequency data and the commodity information in the commodity information dynamic node library through a matching algorithm;

[0070] S211. Map the obtained product matching degree and the browsing and transaction frequency data of the corresponding type of products to the primary product association information chain and the secondary product association information chain, and obtain the enhanced primary product association information chain and the enhanced secondary product association information chain in turn.

[0071] The associated information chain constructed through the above steps achieves comprehensive optimization from user selection of products to providing personalized recommendations. First, after the radio frequency reader obtains the product identification, it can accurately locate the position of the product in the dynamic association information library in combination with the user's historical search information; the pre-processed product information text sequence and user transaction information text sequence are processed by the entity-relationship extraction algorithm to generate accurate product information triples and user transaction information triples, providing a solid data foundation for the subsequent knowledge graph construction; the product information dynamic node library and the user historical preference product node library established using the knowledge graph and graph database not only cover the basic attributes and preferential policies of the products, but also reflect the actual interests of the users; the primary and secondary associations between products calculated by the association rule algorithm enable the system to identify the potential connections between products and form primary and secondary product association information chains; this multi-level association analysis helps to capture more complex market trends and consumer behavior patterns; for member users, the system further considers their historical transaction records and browsing habits, and the product matching degree obtained by the matching algorithm can enhance the relevance and pertinence of the association information chain; the enhanced primary and enhanced secondary product association information chains finally formed not only contain the latest product dynamic information, but also integrate the personalized needs of users, greatly improving the accuracy of the recommendation system and user experience.

[0072] S3. According to the associated information chain, the latest product information of the selected product and associated products is displayed through the setting terminal.

[0073] Furthermore, the specific steps of S3 in this embodiment include:

[0074] S301. Obtain the product identifier corresponding to the currently selected product, and use the configured user membership interface to determine whether the current user is a member user. If so, obtain the historical product transaction information of the corresponding user from the user historical preference product node library;

[0075] In this embodiment, the reason for obtaining the user membership information through the user membership interface is that the acquisition of product information is through a radio frequency device, which cannot obtain user information, while the membership information and user historical information can be directly called through the membership interface. This enables the acquisition of user preferences without image recognition, reducing the equipment cost.

[0076] S302. Based on the product identifier corresponding to the selected product obtained, determine whether there is single discount strategy information or combined discount strategy information for the current product. If there is no discount strategy information for the current product or only single discount strategy information exists, and the current user is a non-member user, then call the primary product association information chain to obtain the associated product type information and corresponding association degree for the product selected by the current user;

[0077] S303. Set an association information threshold, regard the products with an association degree greater than the association information threshold as the associated products corresponding to the product selected by the current user, and use the currently selected product of the user and the corresponding associated products to construct a product information display table. At the same time, sort the associated products in descending order of the association degree, and push the sorted product information display table to the corresponding user.

[0078] S304. If there is combined discount strategy information for the currently selected product and the current user is a non-member user, then call the secondary product association information chain to obtain the associated product type information and corresponding association degree for the product selected by the current user, and repeat the process of S303 to obtain the corresponding product information display table for push display;

[0079] S305. If there is no discount strategy information for the currently selected product or only single discount strategy information exists, and the current user is a member user, then call the enhanced primary product association information chain to obtain the associated product type information and corresponding association degree for the product selected by the current user, and repeat the process of S303 to obtain the corresponding product information display table for push display;

[0080] S306. If there is combined discount strategy information for the currently selected product and the current user is a member user, then call the enhanced secondary product association information chain to obtain the associated product type information and corresponding association degree for the product selected by the current user, and repeat the process of S303 to obtain the corresponding product information display table for push display.

[0081] S307: Based on the user's historical preference product node library, obtain the user's historical product browsing frequency and purchase frequency, and use the browsing frequency and purchase frequency to obtain the corresponding user's purchase desire ratio for each product, specifically: ,in, Indicates the proportion of the current user's purchase intention for the i-th product in the user's historical preference product node library, Indicates the purchase frequency of the i-th product by the current user in the user's historical preference product node library. Indicates the browsing frequency of the i-th product by the current user in the user's historical preference product node library;

[0082] S308: Setting purchase preference threshold ,when Greater than , then the corresponding product is the user's preferred product, otherwise it is a common browsing product for the user;

[0083] S309: When the product information display table corresponding to the processes S305 and S306 only contains products that are normally browsed by the user, the product information in the product information display table remains unchanged;

[0084] S310, when there is only one user preferred product, the corresponding related product is placed at the first position in the process of descending arrangement of related products. If there is more than one user preferred product, the user preferred product is arranged in descending order first, and then the remaining products are arranged in descending order to obtain a preferred product information display table;

[0085] S311. Update the products browsed or purchased by the user in the S305-S310 process to the user's historical preference product node library. At the same time, use the update trigger mechanism built in the corresponding associated information in the S302-S310 process to monitor the product information dynamic node library in real time. When the product information corresponding to the product information dynamic node library changes, the product information display table corresponding to the current user is updated in real time through the update trigger mechanism.

[0086] Furthermore, the update trigger mechanism in this embodiment is only a judgment condition for an update time point. When the corresponding product information in the user's historical preference product node library changes, the product information display table pushed to the user will be synchronously updated. The update here is that the S204-S211 process re-evaluates the association information of the updated product and related products, and updates the product information display table pushed by the S303-S311 process according to the evaluation results.

[0087] Through the implementation of the above S3 steps, the system realizes personalized and accurate display of product information, significantly improving the user experience and the operating efficiency of the platform; first, the product identification is obtained through the radio frequency reader and combined with the user's membership status judgment, ensuring that the recommended content is in line with the current choice and respects the user's special identity (such as membership); for products with preferential policies, the system distinguishes between single and joint discounts, and calls different related information chains according to whether the user is a member, ensuring the effective communication of promotional information and the accuracy of personalized recommendations; setting the related information threshold and sorting it according to the degree of correlation, so that the recommended products are not only highly relevant, but also meet the user's immediate needs; For member users, the enhanced associated information chain is used to further improve the relevance and targeting of recommendations. At the same time, the user's preferred products and commonly browsed products are accurately identified through the calculation of the purchase intention ratio, thereby optimizing the order of product display. In addition, the process also introduces a purchase preference threshold to screen preferred products and prioritizes these products in the display table, greatly improving the probability of users finding their favorite products. The real-time update mechanism ensures that the product information display table can quickly respond to market changes and inventory updates, maintaining the freshness and accuracy of the recommended content. This series of measures not only promotes user participation and satisfaction, but also helps merchants manage inventory and formulate marketing strategies more effectively.

[0088] Example 2

[0089] See also Figure 2 and Figure 3 Another embodiment provided by the present invention: an electronic tag reading and displaying device based on dynamic information of commodities, comprising: a reading and displaying device body 001, wherein the reading and displaying device body 001 comprises a radio frequency identification device 002, an interactive display interface 003 and a configured electronic tag reading and displaying system 004; A is a commodity selected by a user displayed in real time through the interactive display interface 003, and B1, B2 and B3 are all related commodities of commodity A obtained through the electronic tag reading and displaying system 004;

[0090] The RFID device 002 is used to read the electronic tag of the commodity selected by the user and obtain the corresponding commodity identification;

[0091] The interactive display interface 003 is used for interaction of inputting information and displaying product information;

[0092] The electronic tag reading and display system 004 includes an associated search module and a recommendation display module;

[0093] The associated search module is used to determine the associated information chain of the selected product in the dynamic associated information database of the product according to the product identifier and the historical search information provided by the user; the associated information chain includes the latest product information of the associated products with the selected product;

[0094] The recommendation display module is used to display the latest product information of the selected product and related products through the setting terminal according to the related information chain.

[0095] Furthermore, in this embodiment, the product identification of the product selected by the user in the supermarket is identified by the radio frequency identification device 002 in the reading display device body 001, and the product identification information is obtained, and the obtained product identification information is input into the configured electronic tag reading and display system 004, and the user's historical search information obtained by inputting the member information is obtained through the associated search module, the recommendation display module and the interactive display interface 003 in the electronic tag reading and display system 004, and the associated products and product information display table corresponding to the selected product are obtained, and the product information display table is displayed in real time through the interactive display interface 003, for example, the product A selected by the user and the corresponding associated products B1, B2 and B3.

[0096] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation modes, which are merely illustrative rather than restrictive. Under the guidance of the present invention, ordinary technicians in the field may also change, modify, replace and modify the above-mentioned embodiments without departing from the scope of protection of the purpose of the present invention and the claims, and all of these are within the protection of the present invention.

[0097] If the disclosed technical solution involves personal information, the product using the disclosed technical solution has clearly informed the personal information processing rules and obtained the individual's voluntary consent before processing the personal information. If the disclosed technical solution involves sensitive personal information, the product using the disclosed technical solution has obtained the individual's separate consent before processing the sensitive personal information, and at the same time meets the "explicit consent" requirement. For example, on personal information collection devices such as cameras, clear and prominent signs are set to inform that the personal information collection scope has been entered and personal information will be collected. If the individual voluntarily enters the collection scope, it is deemed that he or she agrees to the collection of his or her personal information; or on the device that processes personal information, when the personal information processing rules are notified by obvious signs / information, the individual's authorization is obtained through pop-up information or by asking the individual to upload his or her personal information; among them, the personal information processing rules may include information such as the personal information processor, the purpose of personal information processing, the processing method, and the type of personal information processed.

Claims

1. A method for reading and displaying electronic tags based on commodity dynamic information, characterized in that: include: S1. Read the electronic tag of the product selected by the user through a radio frequency reading device to obtain the corresponding product identification; S2. Determine, based on the commodity identifier and the historical search information provided by the user, a related information chain of the selected commodity in a commodity dynamic related information database; the related information chain includes the latest commodity information of commodities related to the selected commodity; S3. Displaying the latest product information of the selected product and related products through the setting terminal according to the related information chain; The steps of constructing the associated information chain include: S201, obtaining and preprocessing basic information of each product, single preferential policy information, joint preferential policy information, user registration member information, and historical product browsing and purchase information, to obtain a preprocessed product information text sequence and a user transaction information text sequence; S202, obtaining a product information triple and a user transaction information triple through an entity-relationship extraction algorithm according to the preprocessed product information text sequence and the user transaction information text sequence; S203, according to the triples of product information and the triples of user transaction information, sequentially obtain a product information dynamic node library and a user history preference product node library through the knowledge graph and the graph database; the user history preference product node library includes the user's commonly browsed products and preferred products; S204, assuming that the current product information dynamic node library includes K product information nodes, using the basic product information and single discount policy information in the K product information nodes to construct a related information input sequence; S205, according to the association information input sequence, using the association rule algorithm, obtain the corresponding association degree between each commodity and the remaining K-1 commodities; S206, the obtained The correlation degree is mapped to the connection relationship chain between the corresponding two commodity information nodes in the commodity information dynamic node library to obtain the primary commodity correlation information chain; S207, assuming that the current joint preferential policy information includes M kinds of commodities, according to the primary commodity association information chain and the corresponding commodity information in the current joint preferential policy information, through the association rule algorithm, obtain the secondary association degree between each of the M kinds of commodities and the remaining M-1 kinds of commodities; S208, will obtain The secondary association degrees are mapped to the connection relationship chain between the corresponding two commodity information nodes contained in the joint preferential policy information in the primary commodity association information chain to obtain the secondary commodity association information chain.

2. The method for reading and displaying electronic tags based on commodity dynamic information according to claim 1, characterized in that: The step of constructing the associated information chain also includes: S209: When the user is a member user, obtain the current user's historical transaction commodity types and browsing and transaction frequency data through the user's historical preference commodity node library; S210, obtaining the degree of matching between the user's historical transaction commodity types and browsing and transaction frequency data and the commodity information in the commodity information dynamic node library through a matching algorithm; S211. Map the obtained product matching degree and the browsing and transaction frequency data of the corresponding type of products to the primary product association information chain and the secondary product association information chain, and obtain the enhanced primary product association information chain and the enhanced secondary product association information chain in turn.

3. The method for reading and displaying electronic tags based on commodity dynamic information according to claim 2, characterized in that: The specific steps of S3 include: S301, obtaining the commodity ID corresponding to the currently selected commodity, and using the configured user member interface to determine whether the current user is a member user, if so, obtaining the corresponding user's historical commodity transaction information from the user's historical preference commodity node library; S302, by obtaining the commodity identifier corresponding to the selected commodity, determine whether the current commodity has single preferential policy information or joint preferential policy information; if the current commodity has no preferential policy information or only single preferential policy information, and the current user is a non-member user, call the primary commodity related information chain to obtain the related commodity type information and the corresponding correlation degree corresponding to the commodity selected by the current user; S303: Set a correlation information threshold, use products with correlation greater than the correlation information threshold as related products corresponding to the product currently selected by the user, and use the product currently selected by the user and the corresponding related products to build a product information display table, and at the same time, sort the related products in descending order according to the correlation degree, and push the descending sorted product information display table to the corresponding user.

4. The method for reading and displaying electronic tags based on commodity dynamic information according to claim 3, characterized in that: The specific steps of S3 also include: S304: If the currently selected product has joint discount policy information and the current user is a non-member user, call the secondary product association information chain to obtain the associated product type information and the corresponding association degree corresponding to the product selected by the current user, and repeat the S303 process to obtain the corresponding product information display table for push display; S305. If there is no preferential policy information or only a single preferential policy information for the currently selected product, and the current user is a member user, call the enhanced primary product related information chain to obtain the related product type information and the corresponding correlation degree corresponding to the product selected by the current user, and repeat the S303 process to obtain the corresponding product information display table for push display; S306. If the currently selected product has joint discount policy information and the current user is a member user, call the enhanced secondary product association information chain to obtain the associated product type information and the corresponding association degree corresponding to the product selected by the current user, and repeat the S303 process to obtain the corresponding product information display table for push display.

5. The method for reading and displaying electronic tags based on commodity dynamic information according to claim 4, characterized in that: The specific steps of S3 also include: S307: Based on the user's historical preference product node library, obtain the user's historical product browsing frequency and purchase frequency, and use the browsing frequency and purchase frequency to obtain the corresponding user's purchase desire ratio for each product, specifically: ,in, Indicates the proportion of the current user's purchase intention for the i-th product in the user's historical preference product node library, Indicates the purchase frequency of the i-th product by the current user in the user's historical preference product node library. Indicates the browsing frequency of the i-th product by the current user in the user's historical preference product node library; S308: Setting purchase preference threshold ,when Greater than , then the corresponding product is the user's preferred product, otherwise it is a common browsing product for the user; S309: When the product information display table corresponding to the processes S305 and S306 only contains products that are normally browsed by the user, the product information in the product information display table remains unchanged; S310, when there is only one user preferred product, the corresponding related product is placed at the first position in the process of descending arrangement of related products. If there is more than one user preferred product, the user preferred product is arranged in descending order first, and then the remaining products are arranged in descending order to obtain a preferred product information display table; S311. Update the products browsed or purchased by the user in the S305-S310 process to the user's historical preference product node library. At the same time, use the update trigger mechanism built in the corresponding associated information in the S302-S310 process to monitor the product information dynamic node library in real time. When the product information corresponding to the product information dynamic node library changes, the product information display table corresponding to the current user is updated in real time through the update trigger mechanism.

6. An electronic tag reading device based on commodity dynamic information, which is used to implement the electronic tag reading and display method based on commodity dynamic information according to any one of claims 1 to 5, characterized in that: include: Radio frequency identification device, associated search module and recommendation display module; The RFID device is used to read the electronic tag of the commodity selected by the user to obtain the corresponding commodity identification; The associated search module is used to determine the associated information chain of the selected product in the dynamic associated information library of the product according to the product identifier and the historical search information provided by the user; the associated information chain includes the latest product information of the associated products with the selected product; The recommendation display module is used to display the latest product information of the selected product and related products through the setting terminal according to the related information chain.

7. A computer-readable storage medium, characterized in that: Computer instructions are stored thereon, and when the computer instructions are executed, the electronic tag reading and display method based on commodity dynamic information as described in any one of claims 1 to 5 is executed.

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