Electronic price tag remote management system and method based on smart retail platform

Abstract

The invention discloses an electronic price tag remote management system and method based on a smart retail platform, relates to the technical field of electronic price tag management, and discloses an electronic price tag management sorting module, an electronic price tag management analysis module and an electronic price tag management regulation and control module. The method comprises the following steps of: further analyzing electronic price tags with management requirements, deeply analyzing associated influence of commodities corresponding to the electronic price tags, analyzing comprehensive marketing influence of the current electronic price tags on the commodities, and comprehensively judging whether the period duration of an electronic price tag management period needs to be adjusted according to the management requirements and the marketing requirements of the electronic price tags; the remote management strategy of the electronic price tag is reasonably customized, and the timeliness and effectiveness of remote management of the electronic price tag are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic price tag management, and more specifically, to an electronic price tag remote management system and method based on a smart retail platform. Background Art

[0002] With the rapid development of smart retail, electronic price tags, as an indispensable part of the modern retail industry, play an increasingly important role in commodity pricing, promotional information display, inventory management, etc. In large-scale retail environments, there are a large number of electronic price tags. How to remotely manage a large number of electronic price tags is an urgent problem to be solved.

[0003] In order to solve the above problems, some electronic price tag management systems have appeared on the market, but these systems often only have basic electronic price tag information management functions, lacking in-depth analysis and intelligent management of the operating status of electronic price tags. For example, some systems can only simply record basic information such as the display content and update time of electronic price tags, but cannot conduct multi-dimensional and in-depth analysis of the operating status of electronic price tags, and thus cannot accurately evaluate the management needs of electronic price tags.

[0004] In addition, existing ESL management systems also have certain limitations in the formulation of management strategies. They often only update and manage ESLs at fixed time intervals without considering the differences between different ESLs and the correlation between commodities. This one-size-fits-all management approach not only fails to fully utilize the marketing potential of ESLs, but may also lead to a waste of management resources.

[0005] Therefore, there is an urgent need for an electronic price tag remote management system and method based on a smart retail platform. Summary of the invention

[0006] In view of the deficiencies in the prior art, the object of the present invention is to provide an electronic price tag remote management system and method based on a smart retail platform.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] The electronic price tag remote management system based on the smart retail platform includes an electronic price tag management sorting module, an electronic price tag management analysis module, and an electronic price tag management control module;

[0009] The electronic price tag management sorting module sets the cycle length of the electronic price tag management cycle as Ti, obtains the potential management demand value of each electronic price tag after each electronic price tag management cycle, sorts all the electronic price tags in descending order according to the value of the potential management demand value, and analyzes each electronic price tag in order according to the sorting;

[0010] The electronic price tag management analysis module obtains the price tag operation value of the electronic price tag when completing the analysis of each electronic price tag, and determines whether to mark the electronic price tag as a management demand price tag based on the comparison result between the price tag operation value and the price tag operation limit value;

[0011] When the electronic price tag management and control module completes the analysis of all electronic price tags, it obtains the remote management and control value, and determines whether to adjust the electronic price tag management cycle to Ti based on the comparison result between the remote management and control value and the remote management and control threshold. RA .

[0012] Furthermore, the potential management demand value of the electronic price tag is obtained as follows: obtain the price tag operation value of an electronic price tag corresponding to m consecutive electronic price tag management cycles before the current time of the system, obtain the cycle operation value of each electronic price tag management cycle, match all electronic price tag management cycles into a cycle combination group, obtain the combined demand value of each cycle combination group, sum and average the combined demand values ​​of all cycle combination groups, and obtain the potential management demand value of the electronic price tag.

[0013] Furthermore, the method for obtaining the price tag operation value of the electronic price tag is as follows: collect various operation parameters generated by the electronic price tag during the electronic price tag management cycle, obtain the operation analysis models corresponding to the various operation parameters, input the various operation parameters into the corresponding operation analysis models, and then obtain the operation analysis values ​​of the various operation parameters, obtain the analysis parameter comparison mean Trast, set the operation analysis upper value and the operation analysis lower value, when the operation analysis value of the operation parameter is greater than or equal to the operation analysis upper value, mark the operation parameter as a negative operation parameter, when the operation analysis value of the operation parameter is less than or equal to the operation analysis lower value, mark the operation parameter as an active operation parameter, when the operation analysis value of the operation parameter is between the operation analysis upper value and the operation analysis lower value, mark the operation parameter as a normal operation parameter, mark the total number of negative operation parameters as Nega, mark the total number of positive operation parameters as Actp, sum and average the operation analysis values ​​of all normal operation parameters, obtain the normal mean Ventm of the analysis parameter, and use the formula The price tag operation value Fsty of the electronic price tag is obtained, wherein b1 is the analytical parameter comparison coefficient, and b2 is the analytical parameter conventional coefficient.

[0014] Furthermore, the method for obtaining the analytical parameter comparison mean Trast is as follows: various operating parameters are matched in pairs into a parameter comparison group, the operating analytical values ​​of two operating parameters in the parameter comparison group are difference-calculated and the absolute value is taken to obtain the analytical parameter comparison value, all the analytical parameter comparison values ​​are summed and the average is taken to obtain the analytical parameter comparison mean Trast.

[0015] Furthermore, the cycle operation value of the electronic price label management cycle is obtained as follows: the cycle duration and the cycle operation value of the electronic price label management cycle are obtained, and the ratio of the cycle operation value to the cycle duration is calculated to obtain the cycle operation value of the electronic price label management cycle.

[0016] Furthermore, the combined demand value of the periodic combination group is obtained as follows: the two combined demand values ​​in the periodic combination group are summed to obtain the combined operation value Sydb, the two combined demand values ​​in the periodic combination group are differenced and the absolute value is taken to obtain the combined gap value Kxge, and the formula is used The combination demand value Bsaq of the period combination group is obtained, where h1 is the combination operation coefficient and h2 is the combination gap coefficient.

[0017] Furthermore, based on the comparison result between the price tag operating value and the price tag operating limit, determine whether to mark the electronic price tag as a management demand price tag, specifically: set the price tag operating limit, when the price tag operating value of the electronic price tag is greater than or equal to the price tag operating limit, mark the electronic price tag as a management demand price tag, when the price tag operating value of the electronic price tag is less than the price tag operating limit, no processing is performed.

[0018] Furthermore, the remote management control value is obtained as follows: obtain the total number of management demand price tags, obtain the goods corresponding to the management demand price tags, obtain the goods association graph of each goods, match all management demand price tags into an association analysis group, obtain the number of association lines of the goods corresponding to the two management demand price tags in the association analysis group in the goods association graph, set the standard number of association lines, when the number of association lines is greater than or equal to the standard number of association lines, mark the association analysis group as an association demand group, when the number of association lines is less than the standard number of association lines, do not process it, mark the total number of association demand groups as YD, mark the total number of management demand price tags as Hszb, sum and average the price tag operation values ​​of all management demand price tags, obtain the demand operation mean Piyg, and use the formula ZBt=(Hszb+YD) Piyg+1.09 Get the remote management control value ZBt.

[0019] Further, based on the comparison result between the remote management control value and the remote management control threshold, it is determined whether to adjust the electronic price tag management cycle to Ti RA Specifically, the remote management control threshold is set. When the remote management control value is greater than the remote management control threshold, the remote management control threshold is calculated by the ratio of the remote management control value to obtain the management control ratio RA, and the cycle length of the electronic price tag management cycle is adjusted to Ti. RA When the remote management control value is less than or equal to the remote management control threshold, no processing is performed.

[0020] Furthermore, the remote management method of electronic price tags based on the smart retail platform includes the following steps:

[0021] Step 1: Set the duration of the electronic price tag management cycle to Ti. After each electronic price tag management cycle, obtain the potential management demand value of each electronic price tag, sort all electronic price tags in descending order according to the value of the potential management demand value, and analyze each electronic price tag in order according to the sorting;

[0022] Step 2: When each pair of electronic price tags is analyzed, the price tag operation value of the electronic price tag is obtained, and based on the comparison result between the price tag operation value and the price tag operation limit value, it is determined whether to mark the electronic price tag as a management demand price tag;

[0023] Step 3: After all electronic price tags are analyzed, the remote management control value is obtained. Based on the comparison result between the remote management control value and the remote management control threshold, it is determined whether to adjust the electronic price tag management cycle to Ti. RA .

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] 1. The method of the present invention comprehensively determines whether it is necessary to adjust the cycle duration of the electronic price tag management cycle according to the management needs and marketing needs of the electronic price tag, rationalizes and customizes the remote management strategy of the electronic price tag, and ensures the timeliness and effectiveness of the remote management of the electronic price tag;

[0026] 2. Set up an electronic price tag management sorting module and an electronic price tag management analysis module to remotely manage all electronic price tags in the system, conduct in-depth and multi-dimensional analysis of the operation of electronic price tags on a regular basis, and then accurately evaluate the management needs of electronic price tags, and give priority to the management needs analysis of electronic price tags with large potential management needs. Perform management needs analysis on all electronic price tags in the system in a reasonable and orderly manner to effectively ensure the accuracy and efficiency of remote management of electronic price tags. Set up an electronic price tag management and control module to further analyze electronic price tags with management needs, deeply analyze the associated impact of electronic price tags on corresponding products, and analyze the current marketing impact of electronic price tags on the comprehensive products. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 A method flow chart of a remote management method for electronic price tags based on a smart retail platform;

[0028] Figure 2 This is a module diagram of the electronic price tag remote management system based on the smart retail platform;

[0029] Figure 3 Flowchart for obtaining the potential management demand value of electronic price tags. DETAILED DESCRIPTION

[0030] Example 1: Reference Figure 1 , the remote management method of electronic price tags based on the smart retail platform includes the following steps:

[0031] Step 1: Set the duration of the electronic price tag management cycle to Ti. After each electronic price tag management cycle, obtain the potential management demand value of each electronic price tag, sort all electronic price tags in descending order according to the value of the potential management demand value, and analyze each electronic price tag in order.

[0032] Step 2: When each pair of electronic price tags is analyzed, the price tag operation value of the electronic price tag is obtained, and based on the comparison result between the price tag operation value and the price tag operation limit value, it is determined whether to mark the electronic price tag as a management demand price tag.

[0033] Step 3: After all electronic price tags are analyzed, the remote management control value is obtained. Based on the comparison result between the remote management control value and the remote management control threshold, it is determined whether to adjust the electronic price tag management cycle to Ti. RA .

[0034] Example 2: Reference Figure 2-Figure 3 The electronic price tag remote management system based on the smart retail platform includes an electronic price tag management sorting module, an electronic price tag management analysis module, and an electronic price tag management control module.

[0035] Electronic price tag management sorting module: Set the cycle length of the electronic price tag management cycle to Ti (the electronic price tag management cycle is a system preset time period, the length of the time period is set according to system requirements, and the electronic price tag management cycle is infinitely looped during system operation). After each electronic price tag management cycle, obtain the potential management demand value of each electronic price tag, sort all electronic price tags in descending order according to the value of the potential management demand value, and analyze each electronic price tag in order.

[0036] The method for obtaining the potential management demand value of an electronic price tag is as follows: obtain the price tag operation value of an electronic price tag corresponding to m consecutive electronic price tag management cycles before the current time of the system, obtain the cycle operation value of each electronic price tag management cycle, match all electronic price tag management cycles into a cycle combination group, obtain the combined demand value of each cycle combination group, sum and average the combined demand values ​​of all cycle combination groups, and obtain the potential management demand value of the electronic price tag.

[0037] The combined demand value of the periodic combination group is obtained as follows: the two combined demand values ​​in the periodic combination group are summed to obtain the combined operation value Sydb, the two combined demand values ​​in the periodic combination group are differenced and the absolute value is taken to obtain the combined gap value Kxge, and the formula is used to obtain the combined demand value Sydb. The combined demand value Bsaq of the periodic combined group is obtained, where h1 is the combined operation coefficient, h2 is the combined gap coefficient, the value of h1 is 1.58, and the value of h2 is 2.12.

[0038] The method for obtaining the cycle operation value of the electronic price label management cycle is as follows: obtain the cycle duration and cycle operation value of the electronic price label management cycle, calculate the ratio of the cycle operation value to the cycle duration, and obtain the cycle operation value of the electronic price label management cycle.

[0039] The method for obtaining the price tag operation value of the electronic price tag is as follows: collect various operating parameters generated by the electronic price tag during the electronic price tag management cycle (the types of operating parameters include but are not limited to display parameters, power parameters, communication parameters, and environmental parameters), obtain the operating analysis models corresponding to the various operating parameters, input the various operating parameters into the corresponding operating analysis models respectively, and then obtain the operating analysis values ​​of the various operating parameters, match the various operating parameters into a parameter comparison group, calculate the difference between the operating analysis values ​​of the two operating parameters in the parameter comparison group and take the absolute value to obtain the analysis parameter comparison value, sum up all the analysis parameter comparison values ​​and take the average to obtain the analysis parameter comparison mean Trast, set the operation analysis upper value and the operation analysis lower value (the upper value of the operation analysis is greater than the lower value of the operation analysis, and both the upper value and the lower value of the operation analysis are system preset values). When the operation analysis value of the operation parameter is greater than or equal to the upper value of the operation analysis, the operation parameter is marked as a negative operation parameter. When the operation analysis value of the operation parameter is less than or equal to the lower value of the operation analysis, the operation parameter is marked as an active operation parameter. When the operation analysis value of the operation parameter is between the upper value of the operation analysis and the lower value of the operation analysis, the operation parameter is marked as a normal operation parameter. The total number of negative operation parameters is marked as Nega, and the total number of positive operation parameters is marked as Actp. The operation analysis values ​​of all normal operation parameters are summed and averaged to obtain the normal mean value Ventm of the analysis parameter. The formula is used to calculate the normal mean value Ventm of the analysis parameter. The price tag operation value Fsty of the electronic price tag is obtained, wherein b1 is the analytical parameter comparison coefficient, b2 is the analytical parameter conventional coefficient, the value of b1 is 1.19, and the value of b2 is 1.28.

[0040] Each operation parameter corresponds to an operation analysis model, and the difference between different operation analysis models lies only in the difference in training data. In the specific implementation of the present invention, the construction method of the operation analysis model corresponding to the public display parameter is as follows: multiple display parameters are collected to construct a neural network model, and the display parameters are used as training data for the neural network model. An operation analysis value is assigned to each training data. The value range of the operation analysis value is (0.1-2.0). The larger the value of the operation analysis value, the less the display parameter of the electronic price tag meets the preset standard. The smaller the value of the operation analysis value, the more the display parameter of the electronic price tag meets the preset standard. The training data is divided into a training set, a validation set, and a test set according to a set ratio of 2:1:1. The neural network is iteratively trained on the training set, the validation set, and the test set. After the training is completed, an operation analysis model of the display parameter is constructed.

[0041] If the operation analysis model of the power supply parameters is constructed, multiple power supply parameters are collected. The larger the value of the operation analysis value, the less the power supply parameters of the electronic price tag meet the preset standards. The smaller the value of the operation analysis value, the more the power supply parameters of the electronic price tag meet the preset standards.

[0042] Electronic price tag management and analysis module: When each analysis of an electronic price tag is completed, the price tag operation value of the electronic price tag is obtained, and the price tag operation limit is set (the price tag operation limit is the system preset value). When the price tag operation value of the electronic price tag is greater than or equal to the price tag operation limit, the electronic price tag is marked as a management demand price tag (remote management personnel can remotely manage the management demand price tag to solve the problems existing in the management demand price tag). When the price tag operation value of the electronic price tag is less than the price tag operation limit, no processing is performed.

[0043] Set up an electronic price tag management sorting module and an electronic price tag management analysis module to remotely manage all electronic price tags in the system, conduct in-depth and multi-dimensional analysis of the operation of electronic price tags on a regular basis, and then accurately evaluate the management needs of electronic price tags, and give priority to the management needs analysis of electronic price tags with high potential management needs. Perform management needs analysis on all electronic price tags in the system in a reasonable and orderly manner, effectively ensuring the accuracy and efficiency of remote management of electronic price tags.

[0044] Electronic price tag management and control module: After completing the analysis of all electronic price tags, obtain the remote management and control value, set the remote management and control threshold (the remote management and control threshold is the system preset value), and when the remote management and control value is greater than the remote management and control threshold, calculate the ratio of the remote management and control threshold to the remote management and control value to obtain the management and control ratio RA, and adjust the cycle length of the electronic price tag management cycle to Ti RA When the remote management control value is less than or equal to the remote management control threshold, no processing is performed.

[0045] The remote management control value is obtained as follows: obtain the total number of management demand price tags, obtain the goods corresponding to the management demand price tags, obtain the product association graph of each product, match all management demand price tags into an association analysis group, obtain the number of association lines of the goods corresponding to the two management demand price tags in the association analysis group in the product association graph, set the standard number of association lines (the standard number of association lines is the system preset number), when the number of association lines is greater than or equal to the standard number of association lines, mark the association analysis group as an association demand group, when the number of association lines is less than the standard number of association lines, do not process it, mark the total number of association demand groups as YD, mark the total number of management demand price tags as Hszb, sum and average the price tag operation values ​​of all management demand price tags, and obtain the demand operation mean Piyg, using the formula ZBt = (Hszb + YD) Piyg+1.09 Get the remote management control value ZBt.

[0046] The product association diagram is used to include all the products in the system, and to show the association between each product in the form of a relationship diagram, and to show the number of associations between products in the form of association lines. The associations between products include but are not limited to complementary associations (complementary associations refer to two or more products that complement each other in function and jointly meet certain needs of consumers, such as toothbrushes and toothpaste), substitute associations (substitute associations refer to two or more products that are similar or identical in function and can replace each other to meet the same needs of consumers, such as two brands of shampoo), and promotional associations (promotional associations refer to merchants deliberately combining certain products together for promotion purposes to attract consumers' attention and promote sales, such as tops and pants sold together). If there are complementary associations and promotional associations between product A and product B, then there will be two association lines between product A and product B in the product association diagram.

[0047] Set up an electronic price tag management and control module to further analyze the electronic price tags that have management needs, deeply analyze the associated impact of the electronic price tags on the corresponding products, analyze the current electronic price tags on the comprehensive marketing impact of the products, and comprehensively determine whether the cycle duration of the electronic price tag management cycle needs to be adjusted based on the management needs and marketing needs of the electronic price tags, rationally customize the remote management strategy of the electronic price tags, and ensure the timeliness and effectiveness of the remote management of the electronic price tags.

[0048] The above formulas are all dimensionless and numerical calculations are performed, and the preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0049] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0050] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0051] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0052] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0053] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0054] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program codes.

[0055] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. The electronic price tag remote management system based on the smart retail platform is characterized by: Including electronic price tag management sorting module, electronic price tag management analysis module, and electronic price tag management control module; The electronic price tag management sorting module sets the cycle length of the electronic price tag management cycle as Ti, obtains the potential management demand value of each electronic price tag after each electronic price tag management cycle, sorts all the electronic price tags in descending order according to the value of the potential management demand value, and analyzes each electronic price tag in order according to the sorting; The electronic price tag management analysis module obtains the price tag operation value of the electronic price tag when completing the analysis of each electronic price tag, and determines whether to mark the electronic price tag as a management demand price tag based on the comparison result between the price tag operation value and the price tag operation limit value; When the electronic price tag management and control module completes the analysis of all electronic price tags, it obtains the remote management and control value, and determines whether to adjust the electronic price tag management cycle to Ti based on the comparison result between the remote management and control value and the remote management and control threshold. RA .

2. The electronic price tag remote management system based on the smart retail platform according to claim 1 is characterized in that: The method for obtaining the potential management demand value of an electronic price tag is as follows: obtain the price tag operation value of an electronic price tag corresponding to m consecutive electronic price tag management cycles before the current time of the system, obtain the cycle operation value of each electronic price tag management cycle, match all electronic price tag management cycles into a cycle combination group, obtain the combined demand value of each cycle combination group, sum and average the combined demand values ​​of all cycle combination groups, and obtain the potential management demand value of the electronic price tag.

3. The electronic price tag remote management system based on the smart retail platform according to claim 2 is characterized in that: The method for obtaining the price tag operation value of the electronic price tag is as follows: collect various operation parameters generated by the electronic price tag during the electronic price tag management cycle, obtain the operation analysis model corresponding to various operation parameters, input various operation parameters into the corresponding operation analysis model, and then obtain the operation analysis value of various operation parameters, obtain the analysis parameter comparison mean Trast, set the operation analysis upper value and the operation analysis lower value, when the operation analysis value of the operation parameter is greater than or equal to the operation analysis upper value, mark the operation parameter as a negative operation parameter, when the operation analysis value of the operation parameter is less than or equal to the operation analysis lower value, mark the operation parameter as an active operation parameter, when the operation analysis value of the operation parameter is between the operation analysis upper value and the operation analysis lower value, mark the operation parameter as a normal operation parameter, mark the total number of negative operation parameters as Nega, mark the total number of positive operation parameters as Actp, sum and average the operation analysis values ​​of all normal operation parameters, and obtain the normal mean value Ventm of the analysis parameter, and use the formula The price tag operation value Fsty of the electronic price tag is obtained, wherein b1 is the analytical parameter comparison coefficient, and b2 is the analytical parameter conventional coefficient.

4. The electronic price tag remote management system based on the smart retail platform according to claim 3 is characterized in that: The method for obtaining the analytical parameter comparison mean Trast is as follows: various operating parameters are matched in pairs into a parameter comparison group, the operating analytical values ​​of two operating parameters in the parameter comparison group are difference calculated and the absolute value is taken to obtain the analytical parameter comparison value, all analytical parameter comparison values ​​are summed and the average is taken to obtain the analytical parameter comparison mean Trast.

5. The electronic price tag remote management system based on the smart retail platform according to claim 2 is characterized in that: The method for obtaining the cycle operation value of the electronic price label management cycle is as follows: obtain the cycle duration and cycle operation value of the electronic price label management cycle, calculate the ratio of the cycle operation value to the cycle duration, and obtain the cycle operation value of the electronic price label management cycle.

6. The electronic price tag remote management system based on the smart retail platform according to claim 2 is characterized in that: The combined demand value of the periodic combination group is obtained as follows: the two combined demand values ​​in the periodic combination group are summed to obtain the combined operation value Sydb, the two combined demand values ​​in the periodic combination group are differenced and the absolute value is taken to obtain the combined gap value Kxge, and the formula is used to obtain the combined demand value Sydb. The combination demand value Bsaq of the period combination group is obtained, where h1 is the combination operation coefficient and h2 is the combination gap coefficient.

7. The electronic price tag remote management system based on the smart retail platform according to claim 1 is characterized in that: Based on the comparison result of the price tag operating value and the price tag operating limit, determine whether to mark the electronic price tag as a management demand price tag. Specifically: set the price tag operating limit. When the price tag operating value of the electronic price tag is greater than or equal to the price tag operating limit, mark the electronic price tag as a management demand price tag. When the price tag operating value of the electronic price tag is less than the price tag operating limit, no processing is performed.

8. The electronic price tag remote management system based on the smart retail platform according to claim 1 is characterized in that: The remote management control value is obtained as follows: obtain the total number of management demand price tags, obtain the goods corresponding to the management demand price tags, obtain the goods association graph of each goods, match all management demand price tags into an association analysis group, obtain the number of association lines in the goods association graph corresponding to the two management demand price tags in the association analysis group, set the standard number of association lines, when the number of association lines is greater than or equal to the standard number of association lines, mark the association analysis group as an association demand group, when the number of association lines is less than the standard number of association lines, do not process it, mark the total number of association demand groups as YD, mark the total number of management demand price tags as Hszb, sum and average the price tag operation values ​​of all management demand price tags, obtain the demand operation mean Piyg, and use the formula ZBt=(Hszb+YD) Piyg+1.09 Get the remote management control value ZBt.

9. The electronic price tag remote management system based on the smart retail platform according to claim 1, characterized in that: Based on the comparison result between the remote management control value and the remote management control threshold, determine whether to adjust the electronic price tag management cycle to Ti RA Specifically, the remote management control threshold is set. When the remote management control value is greater than the remote management control threshold, the remote management control threshold is calculated by the ratio of the remote management control value to obtain the management control ratio RA, and the cycle length of the electronic price tag management cycle is adjusted to Ti. RA When the remote management control value is less than or equal to the remote management control threshold, no processing is performed.

10. A remote management method for electronic price tags based on a smart retail platform, applied to a remote management system for electronic price tags based on a smart retail platform as claimed in any one of claims 1 to 9, characterized in that: The steps include: Step 1: Set the duration of the electronic price tag management cycle to Ti. After each electronic price tag management cycle, obtain the potential management demand value of each electronic price tag, sort all electronic price tags in descending order according to the value of the potential management demand value, and analyze each electronic price tag in order according to the sorting; Step 2: When each pair of electronic price tags is analyzed, the price tag operation value of the electronic price tag is obtained, and based on the comparison result between the price tag operation value and the price tag operation limit value, it is determined whether to mark the electronic price tag as a management demand price tag; Step 3: After all electronic price tags are analyzed, the remote management control value is obtained. Based on the comparison result between the remote management control value and the remote management control threshold, it is determined whether to adjust the electronic price tag management cycle to Ti. RA .

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