E-commerce entity economy and digital economy fusion evaluation method based on large language model

Abstract

The invention discloses an e-commerce entity economy and digital economy fusion evaluation method based on a large language model, and relates to the technical field of e-commerce economy fusion management. The e-commerce entity economy and digital economy fusion evaluation method based on the large language model comprises the following steps: evaluating data reliability; evaluating the data transmission capability; evaluating the fusion processing capability; and data fusion. According to the invention, the data reliability evaluation is carried out through the obtained data reliability index, then whether the data transmission capability adjustment is carried out is judged based on the obtained data transmission capability evaluation index, and then whether the data processing capability adjustment is carried out is judged based on the obtained fusion processing capability evaluation index. And finally, data fusion is performed based on the reliability-qualified e-commerce digital related data after data processing capability adjustment, so that the effect of improving the accuracy of e-commerce entity economy and digital economy fusion evaluation data is achieved, and the problem of inaccurate e-commerce entity economy and digital economy fusion evaluation data in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of e-commerce economic integration management, and in particular to an e-commerce real economy and digital economy integration evaluation method based on a large language model. Background Art

[0002] Big language models are a type of natural language processing models based on deep learning. They learn rich semantic knowledge and grammatical rules by training on massive text data, and can generate high-quality natural language text. Famous big language models include the GPT (Generative Pre-trained Transformer, natural language processing pre-training model) series, BERT (Bidirectional Encoder Representations from Transformers, pre-trained language model), etc. The core idea of ​​these models is to use self-supervised learning to allow the model to learn the potential laws of language on massive unlabeled text data, thereby gaining powerful natural language understanding and generation capabilities. Big language models can analyze users' shopping history, browsing history, search keywords, etc., generate personalized product recommendations, and improve users' purchase conversion rate and satisfaction. Use big language models to quantitatively evaluate the degree of integration between the e-commerce real economy and the digital economy. For example, the depth and breadth of integration can be evaluated by analyzing indicators such as the sales proportion of digital products on e-commerce platforms and users' digital consumption habits.

[0003] The existing assessment of the integration of e-commerce's real economy and digital economy mainly quantifies the degree of integration between the e-commerce real economy and the digital economy by collecting and analyzing relevant statistical data, such as the scale of the digital economy, growth rate, number of employees, etc.

[0004] For example, the invention patent application with publication number: CN114529220A discloses a multi-station integrated economic dispatch method that considers the dynamic dispatch capacity of energy storage, including: by exploring the flexibility of the loads of 5G communication base stations, data centers, and electric vehicle charging stations, a dynamic dispatchable capacity model of energy storage is created. Time-of-use electricity price demand-side response is introduced on the load side of the system, and the power supply reliability of 5G base stations and data centers is considered to ensure that the adjustments made meet the normal operation of 5G base stations and data centers; finally, the established optimization model is simulated based on matlab, and the results show that the model can reduce operating costs.

[0005] For example, the invention patent application with publication number: CN118229156A discloses a method and system for evaluating the sustainable development of the marine economy, including: collecting marine economic data, determining evaluation indicators, unifying various indicators and converting data according to various indicators; integrating various converted indicators for comprehensive evaluation and analyzing the sustainable development of the marine economy; and constructing an ecological sustainable development prediction model.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the existing technology, compared with developed regions, underdeveloped regions have imperfect network infrastructure, which leads to inaccurate processing of digital economy-related data, resulting in inaccurate evaluation data for the integration of e-commerce, the real economy and the digital economy. Summary of the invention

[0008] The embodiments of the present application solve the problem of inaccurate evaluation data of the integration of e-commerce real economy and digital economy in the prior art by providing an evaluation method of the integration of e-commerce real economy and digital economy based on a large language model, thereby improving the accuracy of evaluation data of the integration of e-commerce real economy and digital economy.

[0009] The embodiment of the present application provides an e-commerce real economy and digital economy integration assessment method based on a large language model, comprising the following steps: S1, obtaining a data reliability index based on the acquired e-commerce digital-related data, performing data reliability assessment based on the data reliability index and obtaining reliable e-commerce digital-related data, wherein the data reliability index is used to reflect the reliability of data transmission in the process of integration of the e-commerce real economy and the digital economy; S2, obtaining a data transmission capacity assessment index based on the reliable e-commerce digital-related data, determining whether to adjust the data transmission capacity based on the data transmission capacity assessment index, wherein the data transmission capacity assessment index is used to assess the data transmission capacity in the process of integration of the e-commerce real economy and the digital economy; S3, obtaining a fusion processing capacity assessment index based on the reliable e-commerce digital-related data after the data transmission capacity adjustment, determining whether to adjust the data processing capacity based on the fusion processing capacity assessment index, wherein the fusion processing capacity assessment index is used to assess the data processing capacity in the process of integration of the e-commerce real economy and the digital economy; S4, performing data fusion based on the reliable e-commerce digital-related data after the data processing capacity adjustment.

[0010] Furthermore, the e-commerce digital related data includes the number of page bytes, page loading time, and page response speed; the reliability qualified e-commerce digital related data includes the stable data transmission volume, stable data transmission time, average sending rate, page browsing time and order processing time.

[0011] Furthermore, the specific process of obtaining the data reliability index based on the obtained e-commerce digital related data is as follows: obtaining the page byte compliance value by performing a ratio operation on the sum of the number of page bytes and the maximum value of the reference page bytes obtained from the database and twice the maximum value of the reference page bytes; obtaining the loading time compliance value by performing a ratio operation on the sum of the page loading time and the maximum value of the reference loading time obtained from the database and twice the maximum value of the reference loading time; obtaining the response speed compliance value by performing a ratio operation on the sum of the page response speed and the maximum value of the reference response speed obtained from the database and twice the maximum value of the reference response speed; and obtaining the data reliability index by combining the page byte compliance value, the loading time compliance value and the response speed compliance value.

[0012] Furthermore, the specific process of performing data reliability assessment based on the data reliability index and obtaining e-commerce digital related data with qualified reliability is as follows: AA1, when the data reliability index is lower than the preset reliability threshold in the database, execute AA2, otherwise continue to perform data transmission capacity assessment; AA2, perform load balancing processing, when the monitored data reliability index is not lower than the preset reliability threshold, the e-commerce digital related data corresponding to the data reliability index not lower than the preset reliability threshold is marked as reliable e-commerce digital related data, and the data transmission capacity assessment is continued, otherwise execute AA3; AA3, send a prompt to the preset personnel to set up a dedicated data transmission channel, when the monitored data reliability index is not lower than the preset reliability threshold, the e-commerce digital related data corresponding to the data reliability index not lower than the preset reliability threshold is marked as reliable e-commerce digital related data, and the data transmission capacity assessment is continued, otherwise send an alarm prompt.

[0013] Furthermore, the restriction expression of the data reliability index is as follows:

[0014]

[0015] Where WDX h represents the data reliability index in the hth preset time period, h=1,2,...s, h represents the number of the preset time period, s represents the total number of preset time periods, Indicates the page byte value corresponding to the e-commerce digital related data in the hth preset time period, Indicates that the loading time corresponding to the e-commerce digital related data in the hth preset time period meets the value, It represents the response speed compliance value corresponding to the e-commerce digital related data in the hth preset time period, and e represents a natural constant.

[0016] Furthermore, the specific process of obtaining the data transmission capacity evaluation index based on the reliability-qualified e-commerce digital related data is as follows: obtaining the sending bandwidth compliance value and the sending rate compliance value; the sending rate compliance value is represented by the result of a ratio operation between the sum of the sending average rate and the reference sending rate maximum value obtained from the database and twice the reference sending rate maximum value; combining the sending bandwidth compliance value, the sending rate compliance value, the data reliability index not less than the preset reliability threshold, and the preset first transmission impact weight coefficient, the preset second transmission impact weight coefficient, and the preset third transmission impact weight coefficient obtained from the database to obtain the data transmission capacity evaluation index; the sending bandwidth compliance value is used to reflect the compliance degree of the sending bandwidth within a preset time period.

[0017] Furthermore, the specific process of judging whether to adjust the data transmission capacity according to the data transmission capacity evaluation index is as follows: when the data transmission capacity evaluation index is not lower than the preset fusion transmission threshold, the data transmission capacity adjustment is not performed, otherwise the following steps are performed: Step 1, content distribution is performed, when the monitored data transmission capacity evaluation index is not lower than the preset fusion transmission threshold, the data transmission capacity adjustment is stopped, otherwise step 2 is performed; Step 2, bandwidth utilization optimization is performed, when the monitored data transmission capacity evaluation index is not lower than the preset fusion transmission threshold, the data transmission capacity adjustment is stopped, otherwise an alarm prompt is sent.

[0018] Furthermore, the specific process of obtaining the fusion processing capacity evaluation index based on the reliability qualified e-commerce digital related data after the data transmission capacity adjustment is as follows: the order processing time compliance value is obtained by performing a ratio operation on twice the maximum reference processing time obtained from the database and the sum of the maximum reference processing time and the order processing time; the page browsing time compliance value is obtained by performing a ratio operation on twice the maximum reference page browsing time obtained from the database and the sum of the page browsing time and the reference page browsing maximum value; the fusion processing capacity evaluation index is obtained by combining the order processing time compliance value, the page browsing time compliance value and the fusion processing capacity evaluation index that is not lower than the preset fusion transmission threshold.

[0019] Furthermore, the specific process of judging whether to adjust the data processing capacity according to the fusion processing capacity evaluation index is as follows: the first step is to judge whether the fusion processing capacity evaluation index is not lower than the preset processing capacity threshold. When the fusion processing capacity evaluation index is not lower than the preset processing capacity threshold, the data processing capacity adjustment is not performed, otherwise the second step is executed; the second step is to perform data sharing optimization processing. When the monitored fusion processing capacity evaluation index is not lower than the preset processing capacity threshold, the data processing capacity adjustment is stopped, otherwise the third step is executed; the third step is to perform data integration optimization. When the monitored fusion processing capacity evaluation index is not lower than the preset processing capacity threshold, the data processing capacity adjustment is stopped, otherwise an alarm prompt is sent.

[0020] Furthermore, the specific process of data fusion based on the reliability qualified e-commerce digital related data after the data processing capability is adjusted is as follows: obtaining the reliability qualified e-commerce digital related data after the data processing capability is adjusted; inputting the reliability qualified e-commerce digital related data and the expected fusion evaluation results into the large language model to obtain the fusion evaluation results; the fusion evaluation results are used to reflect the integration of the e-commerce real economy and the digital economy.

[0021] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0022] 1. Perform data reliability assessment through the acquired data reliability index and obtain reliable e-commerce digital related data. Then, determine whether to adjust the data transmission capacity based on the acquired data transmission capacity assessment index. Then, determine whether to adjust the data processing capacity based on the acquired fusion processing capacity assessment index. Finally, perform data fusion based on the reliable e-commerce digital related data after the data processing capacity adjustment. This improves the adequacy of the evaluation effect of the integration of the real economy and the digital economy of e-commerce, and further improves the accuracy of the evaluation data of the integration of the real economy and the digital economy of e-commerce. This effectively solves the problem of inaccurate evaluation data of the integration of the real economy and the digital economy of e-commerce in the prior art.

[0023] 2. The data reliability index is obtained through the page byte compliance value, the loading time compliance value and the response speed compliance value, and then the data transmission capacity evaluation index is obtained by combining the sending bandwidth compliance value, the sending rate compliance value, the data reliability index not less than the preset reliability threshold, the preset first transmission impact weight coefficient, the preset second transmission impact weight coefficient and the preset third transmission impact weight coefficient. Finally, the fusion processing capacity evaluation index is obtained by combining the order processing time compliance value, the page browsing time compliance value and the fusion processing capacity evaluation index not less than the preset fusion transmission threshold, thereby achieving the improvement of the accuracy of obtaining fusion evaluation related data, and then achieving the improvement of the reliability of the fusion evaluation of the e-commerce real economy and the digital economy.

[0024] 3. By judging whether the data reliability index is not lower than the preset reliability threshold, when the data reliability index is lower than the preset reliability threshold, load balancing processing is performed and a prompt is sent to the preset personnel to set up a dedicated data transmission channel, thereby realizing dynamic adjustment of the reliability of data transmission in the process of integration of e-commerce, the real economy and the digital economy, and then realizing accurate quantification of the reliability of data transmission in the process of integration of e-commerce, the real economy and the digital economy. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A flowchart of a method for evaluating the integration of the e-commerce real economy and the digital economy based on a large language model provided in an embodiment of the present application;

[0026] Figure 2 An overall flow chart provided for the embodiments of the present application;

[0027] Figure 3 A statistical chart of changes in the average sending rate-sending rate compliance value provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The embodiment of the present application solves the problem of inaccurate evaluation data of the integration of e-commerce real economy and digital economy in the prior art by providing an evaluation method for the integration of e-commerce real economy and digital economy based on a large language model. A data reliability index is obtained by obtaining e-commerce digital related data, and data reliability evaluation is performed based on the data reliability index to obtain e-commerce digital related data with qualified reliability. Then, a data transmission capacity evaluation index is obtained based on the e-commerce digital related data with qualified reliability. According to the data transmission capacity evaluation index, it is determined whether to adjust the data transmission capacity. Then, a fusion processing capacity evaluation index is obtained based on the e-commerce digital related data with qualified reliability after the data transmission capacity adjustment. According to the fusion processing capacity evaluation index, it is determined whether to adjust the data processing capacity. Finally, data fusion is performed based on the e-commerce digital related data with qualified reliability after the data processing capacity adjustment, thereby improving the accuracy of the evaluation data of the integration of e-commerce real economy and digital economy.

[0029] The technical solution in the embodiment of the present application is to solve the problem of inaccurate evaluation data of the integration of the e-commerce real economy and the digital economy. The overall idea is as follows:

[0030] Data reliability is evaluated through the data reliability index obtained and reliable e-commerce digital related data is obtained. Then, based on the obtained data transmission capacity evaluation index, it is determined whether to adjust the data transmission capacity. Next, based on the obtained fusion processing capacity evaluation index, it is determined whether to adjust the data processing capacity. Finally, data fusion is performed based on the reliable e-commerce digital related data after the data processing capacity adjustment, thereby achieving the effect of improving the accuracy of the evaluation data of the integration of the e-commerce real economy and the digital economy.

[0031] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0032] like Figure 1 As shown, it is a flow chart of the method for evaluating the integration of the e-commerce real economy and the digital economy based on a large language model provided in an embodiment of the present application, and the method includes the following steps: S1, data reliability assessment: obtaining a data reliability index based on the acquired e-commerce digital related data, performing data reliability assessment based on the data reliability index and obtaining e-commerce digital related data with qualified reliability, wherein the e-commerce digital related data with qualified reliability indicates that the data reliability index is not lower than the corresponding e-commerce digital related data when the preset reliability threshold is obtained from the database, and the data reliability index is used to reflect the reliability of data transmission in the process of the integration of the e-commerce real economy and the digital economy; S2, data transmission capacity assessment: obtaining a data transmission capacity assessment index based on the e-commerce digital related data with qualified reliability, and judging whether to adjust the data transmission capacity according to the data transmission capacity assessment index, and the data transmission capacity adjustment indicates that the data transmission The capacity assessment index is adjusted to no less than the preset fusion transmission threshold obtained from the database. The data transmission capacity assessment index is used to assess the data transmission capacity in the process of integration of the e-commerce real economy and the digital economy; S3, fusion processing capacity assessment: based on the reliability qualified e-commerce digital related data after the data transmission capacity adjustment, the fusion processing capacity assessment index is obtained, and whether to adjust the data processing capacity is determined according to the fusion processing capacity assessment index. The data processing capacity adjustment means adjusting the fusion processing capacity assessment index to no less than the preset processing capacity threshold obtained from the database. The fusion processing capacity assessment index is used to assess the data processing capacity in the process of integration of the e-commerce real economy and the digital economy; S4, data fusion: data fusion is performed based on the reliability qualified e-commerce digital related data after the data processing capacity adjustment. Data fusion means obtaining the fusion assessment results through a large language model.

[0033] It should be added that the digital data related to e-commerce include the number of page bytes, page loading time, and page response speed; the digital data related to e-commerce with qualified reliability include the amount of stable data transmitted, the time of stable data transmitted, the average rate of transmission, the page browsing time, and the order processing time. It should be explained that the number of page bytes, page loading time, page response speed, page browsing time, and order processing time are measured through a network traffic monitor and a preset e-commerce platform, and network data packets are captured and analyzed through network monitoring tools such as Wireshark (network protocol analyzer), so as to obtain the amount of stable data transmitted, the time of stable data transmitted, and the average rate of transmission.

[0034] The number of page bytes indicates the number of bytes used to access the preset e-commerce browsing page; the page loading time indicates the average loading time of the user on the preset e-commerce browsing page; and the page response speed indicates the average response speed of the preset e-commerce browsing page.

[0035] The stable data transmission volume indicates the data volume of e-commerce digital-related data corresponding to the preset sender when the data transmission reliability index of the preset sender is not lower than the preset reliability threshold; the stable data transmission time indicates the transmission time of the e-commerce digital-related data corresponding to the preset sender when the data transmission reliability index of the preset sender is not lower than the preset reliability threshold; the average sending rate indicates the average rate of the e-commerce digital-related data sent by the preset sender when the data reliability index is not lower than the preset reliability threshold; the page browsing time indicates the time for users to browse the preset e-commerce browsing page; the order processing time indicates the time for the preset e-commerce platform to process the order.

[0036] In this embodiment, if Figure 2 As shown, it is the overall flow chart provided by the embodiment of the present application. The data reliability index, data transmission capacity evaluation index and fusion processing capacity evaluation index are interdependent and mutually reinforcing. The data reliability evaluation index is the basis of data transmission capacity evaluation and fusion processing capacity evaluation. The improvement of the data transmission capacity evaluation index helps to improve the fusion processing capacity evaluation index; the lower the data reliability, even if the transmission speed is faster, the accuracy and integrity of the data cannot be guaranteed, thereby reducing the data transmission capacity. Unreliable data will also lead to inaccurate processing results. Improving the data reliability evaluation index helps to improve the fusion processing capacity evaluation index and ensure the accuracy and reliability of the data processing results. In the process of data fusion, the large language model can analyze the reliability qualified e-commerce digital related data after the data processing capacity is adjusted, and the reliability qualified e-commerce digital related data and the expected fusion evaluation results are input into the large language model for training. The trained large language model can integrate the real-time input reliability qualified e-commerce digital related data at the semantic level and generate fusion evaluation results through natural language processing and generation capabilities, which helps to ensure the consistency of the fused data; the accuracy of the fusion evaluation data of the e-commerce real economy and the digital economy is improved.

[0037] Furthermore, the specific process of obtaining the data reliability index based on the obtained e-commerce digital related data is as follows: the page byte compliance value (i.e., the value in the restriction expression of the data reliability index) is obtained by performing a ratio operation between the sum of the page byte number and the reference page byte maximum value obtained from the database and twice the reference page byte maximum value) ); obtain the loading time compliance value (i.e., the value in the restriction expression of the data reliability index) by performing a ratio operation on the sum of the page loading time and the maximum reference loading time obtained from the database and twice the maximum reference loading time. ); obtain the response speed compliance value (i.e., the value in the restriction expression of the data reliability index) by performing a ratio operation between the sum of the page response speed and the maximum reference response speed obtained from the database and twice the maximum reference response speed. ); combining the page byte compliance value, the loading time compliance value and the response speed compliance value to obtain the data reliability index; the page byte compliance value is used to reflect the compliance degree of the page bytes within the preset time period; the loading time compliance value is used to reflect the compliance degree of the page loading time within the preset time period; the response speed compliance value is used to reflect the compliance degree of the stay time within the preset time period.

[0038] Among them, the restriction expression of data reliability index is as follows:

[0039]

[0040]

[0041] Where WDX h represents the data reliability index in the hth preset time period, h=1,2,...s, h represents the number of the preset time period, s represents the total number of preset time periods, Indicates the page byte value corresponding to the e-commerce digital related data in the hth preset time period, Indicates that the loading time corresponding to the e-commerce digital related data in the hth preset time period meets the value, Indicates the response speed compliance value corresponding to the e-commerce digital related data in the hth preset time period, ZJ h Indicates the number of bytes of the page corresponding to the e-commerce digital related data in the hth preset time period, JZ h Indicates the page loading time corresponding to the e-commerce digital data in the hth preset time period, XY h Indicates the page response speed corresponding to the e-commerce digital related data in the hth preset time period. The page response speed is not less than the preset minimum response speed obtained from the database. ZJ 0 Indicates the maximum value of the reference page byte. Indicates the maximum reference loading time, XY 0 represents the maximum value of reference response speed, and e represents a natural constant.

[0042] In this embodiment, the aforementioned database is a database for storing various types of setting data established before the design of the e-commerce real economy and digital economy integration evaluation method based on a large language model provided in the embodiment of the present application. The database includes but is not limited to order processing time, response speed, page views, etc., and the various numerical values ​​therein are directly set by technical personnel. For example, the reference page byte maximum value is represented by the maximum value of the page bytes in the historical time period in the database, the reference loading time maximum value is represented by the maximum value of the loading time in the historical time period in the database, and the reference response speed maximum value is represented by the maximum value of the response speed in the historical time period in the database.

[0043] It should be understood that the algorithm of this embodiment combines the digital data of e-commerce with the comprehensive analysis to obtain the data reliability index. The digital data of e-commerce in the algorithm of this embodiment does not exist independently, but is interrelated. The shorter the loading time, the faster the response speed, and the larger the number of page bytes, the longer the loading time is usually, which leads to a slower response speed. The shorter the loading time usually means the better the server performance. The server can quickly process the user's request and quickly return the result, reducing the possibility of data loss and delay, thereby improving the reliability of the data, which in turn leads to an increase in the data reliability index. The increase in the data reliability index means that the e-commerce platform is more stable during operation. The parameters of the algorithm of this embodiment need to consider the impact on the results together.

[0044] Specifically, the page bytes match the value The range is 1-1.5, and the loading time meets the value The range is 1-1.5, and the response speed conforms to the value The range is 1-1.5, as shown in Table 1, which is a statistical table of changes in the data reliability index provided in the embodiment of the present application:

[0045] Table 1 Statistics of changes in data reliability index

[0046]

[0047] It can be seen from the above table that as the page byte compliance value and the loading time compliance value gradually decrease, the response speed compliance value gradually increases, and the data reliability index gradually increases, which means that the reliability of data transmission in the process of integration of e-commerce, the real economy and the digital economy is gradually improved, and the accurate quantification of the stability of access to the preset e-commerce platform in the process of integration of e-commerce, the real economy and the digital economy is achieved; thereby achieving the improvement of the accuracy of the evaluation data of the integration of e-commerce, the real economy and the digital economy.

[0048] Furthermore, the specific process of conducting data reliability assessment based on the data reliability index and obtaining reliable e-commerce digital related data is as follows: AA1, when the data reliability index is lower than the preset reliability threshold in the database, it indicates that the stability of the data in the process of integrating the e-commerce physical economy and the digital economy is unqualified, then execute AA2, otherwise it indicates that the stability of the data in the process of integrating the e-commerce physical economy and the digital economy is qualified, and the data transmission capacity assessment continues; AA2, load balancing processing is performed, when the monitored data reliability index is not lower than the preset reliability threshold, the e-commerce digital related data corresponding to the data reliability index not lower than the preset reliability threshold is marked as reliable e-commerce digital related data, and the data transmission capacity assessment continues, otherwise AA3 is executed, load balancing processing means improving the reliability of the data through the load balancing algorithm (polling algorithm); AA3, sending a prompt to the preset personnel to set up a dedicated data transmission channel, when the monitored data reliability index is not lower than the preset reliability threshold, the e-commerce digital related data corresponding to the data reliability index not lower than the preset reliability threshold is marked as reliable e-commerce digital related data, and the data transmission capacity assessment continues, otherwise an alarm prompt is sent, and the dedicated data transmission channel is set to avoid traffic interference and conflict to improve data reliability.

[0049] In this embodiment, the preset reliability threshold is represented by the average value of the data reliability index of the historical time period in the database. The polling algorithm is a basic load balancing algorithm that assigns requests to each server or processing node in turn in a fixed order. The polling algorithm can be used to assign data packets to different transmission channels or network devices to ensure that the load of each channel or device is relatively balanced, avoiding data loss or delay caused by overloading of certain channels or devices. By setting up a dedicated data transmission channel to allocate an independent transmission channel for data, interference and conflict with other traffic or data packets can be avoided, thereby improving the transmission reliability and stability of data, optimizing the efficiency of data transmission and processing, reducing the risk of data loss and delay, and thus achieving the improvement of the accuracy of the evaluation data of the integration of the e-commerce real economy and the digital economy.

[0050] Further, the specific process of obtaining the data transmission capability evaluation index based on the reliability qualified e-commerce digital related data is as follows: Obtain the transmission bandwidth compliance value (that is, the value in the restriction expression of the data transmission capability evaluation index) ) and the transmission rate compliance value (i.e., the limit expression of the data transmission capability evaluation index ); the transmission bandwidth compliance value is obtained by the following steps: obtaining the initial transmission bandwidth by performing a ratio operation on the amount of stable data transmitted and the time of stable data transmitted; obtaining the transmission bandwidth compliance value by performing a ratio operation on the sum of the initial transmission bandwidth and the maximum value of the reference transmission bandwidth obtained from the database and twice the maximum value of the reference transmission bandwidth; the transmission rate compliance value is represented by the result of performing a ratio operation on the sum of the average transmission rate and the maximum value of the reference transmission rate obtained from the database and twice the maximum value of the reference transmission rate; the data transmission capacity evaluation index is obtained by combining the transmission bandwidth compliance value, the transmission rate compliance value, the data reliability index not less than the preset reliability threshold, and the preset first transmission impact weight coefficient, the preset second transmission impact weight coefficient, and the preset third transmission impact weight coefficient obtained from the database; the transmission bandwidth compliance value is used to reflect the compliance degree of the transmission bandwidth within the preset time period; the transmission rate compliance value is used to reflect the compliance degree of the transmission rate within the preset time period; the preset first transmission impact weight coefficient is used to evaluate the influence of the transmission bandwidth on the data transmission capacity evaluation index; the preset second transmission impact weight coefficient is used to evaluate the influence of the transmission rate on the data transmission capacity evaluation index; the preset third transmission impact weight coefficient is used to evaluate the influence of the data reliability index not less than the preset reliability threshold on the data transmission capacity evaluation index;

[0051] The data transmission capability evaluation index is obtained by the following method:

[0052]

[0053] In the formula, CSNL h represents the data transmission capability evaluation index in the hth preset time period, h=1,2,...s, h represents the number of the preset time period, s represents the total number of preset time periods, Indicates that the transmission bandwidth corresponding to the reliability qualified e-commerce digital related data in the hth preset time period meets the value, Indicates the transmission rate compliance value of the reliability qualified e-commerce digital related data in the hth preset time period, WDX h′ It indicates the data reliability index corresponding to the reliable e-commerce digital data in the h-th preset time period, which is not less than the preset reliability threshold. h Indicates the stable data volume corresponding to the reliable e-commerce digital data in the hth preset time period, WDT h Indicates the transmission stable data time corresponding to the reliability qualified e-commerce digital related data in the hth preset time period, fs h It represents the average transmission rate of the reliable e-commerce digital data in the hth preset time period, dk 0 Indicates the maximum reference transmission bandwidth, fs 0represents the maximum reference transmission rate, e represents the natural constant, σ 1 represents the preset first transmission influence weight coefficient, σ 2 represents the preset second transmission influence weight coefficient, σ 3 Indicates the preset third transmission influence weight coefficient.

[0054] In this embodiment, the reference maximum transmission bandwidth is represented by the maximum transmission bandwidth of the historical time period in the database, and the reference maximum transmission rate is represented by the maximum transmission rate of the historical time period in the database.

[0055] It should be explained that the database provided by the present application sets in advance the mapping set of the transmission bandwidth compliance value, the transmission rate compliance value, the data reliability index and the corresponding weights, and the corresponding weights include a preset first transmission impact weight coefficient, a preset second transmission impact weight coefficient and a preset third transmission impact weight coefficient, which respectively reflect the degree of influence of the transmission bandwidth compliance value, the transmission rate compliance value and the data reliability index on the data transmission capacity evaluation index, and input the real-time transmission bandwidth compliance value, the transmission rate compliance value and the data reliability index into the mapping set to obtain the preset first transmission impact weight coefficient, the preset second transmission impact weight coefficient and the preset third transmission impact weight coefficient corresponding to the transmission bandwidth compliance value, the transmission rate compliance value and the data reliability index. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship, and the value range in this embodiment is 0-1.

[0056] It should be understood that the algorithm of this embodiment combines the digital data related to the reliability qualified e-commerce and the data reliability index for comprehensive analysis to obtain the data transmission capacity evaluation index. The digital data related to the reliability qualified e-commerce and the data reliability index in the algorithm of this embodiment do not exist independently, but are interrelated. The higher the data reliability index, the fewer retransmissions caused by data errors or losses. The reduction in the number of retransmissions means that more data can be transmitted in the same amount of time, thereby increasing the average transmission rate. The amount of stable data transmitted is affected by the average transmission rate and the stable data transmission time. The higher the average transmission rate and the longer the stable data transmission time, the larger the amount of data transmission can be supported, which means that the data transmission capacity is gradually enhanced, resulting in an increase in the data transmission capacity evaluation index. The parameters of the algorithm of this embodiment need to be considered together to affect the results.

[0057] Specifically, assuming the average sending rate is fs h The range is 100-500 (kbps), refer to the maximum transmission rate fs 0 Fixed to 500 (kbps), such as Figure 3 As shown, it is a statistical diagram of the change of the average sending rate-sending rate compliance value provided by the embodiment of the present application, which is composed of Figure 3It can be seen that as the average sending rate gradually increases, the sending rate compliance value also gradually increases, which means that the compliance degree of the sending rate gradually improves, resulting in the gradual improvement of data fusion processing capabilities, and realizing the accurate quantification of data transmission capabilities in the process of evaluating the integration of e-commerce's real economy and digital economy; thereby achieving the improvement of the accuracy of the evaluation data of the integration of e-commerce's real economy and digital economy.

[0058] Furthermore, the specific process of judging whether to adjust the data transmission capacity according to the data transmission capacity evaluation index is as follows: judging whether the data transmission capacity evaluation index is not lower than the preset fusion transmission threshold, when the data transmission capacity evaluation index is not lower than the preset fusion transmission threshold, no data transmission capacity adjustment is performed, otherwise the following steps are performed: step one, content distribution is performed, when the monitored data transmission capacity evaluation index is not lower than the preset fusion transmission threshold, data transmission capacity adjustment is stopped, otherwise step two is performed, content distribution means reducing cross-regional delays through the content distribution network (CDN); step two, bandwidth utilization optimization is performed, when the monitored data transmission capacity evaluation index is not lower than the preset fusion transmission threshold, data transmission capacity adjustment is stopped, otherwise an alarm is sent, and bandwidth utilization optimization means avoiding network congestion and delays through the support vector machine (SVM) algorithm.

[0059] In this embodiment, the preset fusion transmission threshold is represented by the average value of the data transmission capacity evaluation index of the historical time period in the database. CDN (Content Delivery Network) is a distributed network architecture that aims to accelerate the distribution and transmission of content by deploying multiple nodes (usually servers or cache devices). CDN nodes can cache a large amount of content and reduce the number and frequency of requests to the source server. This helps to reduce the load on the source server, enabling it to handle other tasks more efficiently, such as processing database queries. On e-commerce platforms, CDN can significantly reduce cross-regional delays when users visit e-commerce websites or applications. SVM (Support Vector Machine) algorithms can be used to predict and analyze the changing trends of network traffic, thereby avoiding network congestion and delays in advance, thereby achieving the improvement of the accuracy of the evaluation data of the integration of the e-commerce real economy and the digital economy.

[0060] Furthermore, the specific process of obtaining the fusion processing capability evaluation index based on the reliability qualified e-commerce digital related data after the data transmission capacity adjustment is as follows: the order processing time compliance value (i.e., the value in the restriction expression of the fusion processing capability evaluation index) is obtained by performing a ratio operation between twice the maximum reference processing time obtained from the database and the sum of the maximum reference processing time and the order processing time. ); obtain the page browsing time compliance value (i.e., the value in the restriction expression of the fusion processing capability evaluation index) by performing a ratio operation between twice the maximum value of the reference page browsing time obtained from the database and the sum of the page browsing time and the maximum value of the reference page browsing time. ); the order processing time compliance value is used to evaluate the compliance degree of the order processing time within the preset time period; the page browsing time compliance value is used to evaluate the compliance degree of the page browsing time within the preset time period; the fusion processing capacity evaluation index is obtained by combining the order processing time compliance value, the page browsing time compliance value and the fusion processing capacity evaluation index that is not less than the preset fusion transmission threshold.

[0061] Among them, the fusion processing capability evaluation index is obtained by the following method:

[0062]

[0063] In the formula, represents the fusion processing capability evaluation index in the hth preset time period, h=1,2,...s, h represents the number of the preset time period, s represents the total number of preset time periods, Indicates that the order processing time corresponding to the reliability qualified e-commerce digital related data in the h-th preset time period meets the value, Indicates the page browsing time compliance value corresponding to the reliability qualified e-commerce digital related data in the hth preset time period, LL h Indicates the page browsing time corresponding to the reliable e-commerce digital data in the hth preset time period, CSNL h′ Indicates the fusion processing capability evaluation index corresponding to the reliability qualified e-commerce digital related data in the hth preset time period, which is not less than the preset fusion transmission threshold, ddt h Indicates the order processing time corresponding to the reliability qualified e-commerce digital related data in the hth preset time period, ddt 0 Indicates the maximum reference processing time, LL 0 represents the maximum browsing time of the reference page, and e represents a natural constant.

[0064] In this embodiment, the maximum value of the reference processing time is represented by the maximum value of the order processing time in the historical time period in the database, and the maximum value of the reference page browsing time is represented by the maximum value of the page browsing time in the historical time period in the database.

[0065] It should be understood that the algorithm of this embodiment combines the reliability qualified e-commerce digital related data and the data transmission capacity evaluation index for comprehensive analysis to obtain the fusion processing capacity evaluation index. The reliability qualified e-commerce digital related data and the data transmission capacity evaluation index in the algorithm of this embodiment do not exist independently, but are interrelated. The higher the data transmission capacity evaluation index, the more stable and accurate the order data can be during the transmission process, thereby shortening the order processing time. The shortened order processing time means that the possibility of attracting user visits is increased, which may cause the page browsing time to increase. The data transmission capacity evaluation index directly affects the ability of the e-commerce platform to receive and process data. The higher the data transmission capacity, the faster and more accurately the e-commerce platform can receive data. The parameters of the algorithm of this embodiment need to jointly consider the impact on the results; the accurate quantification of the data processing capacity in the process of evaluating the integration of the e-commerce real economy and the digital economy is achieved; and the accuracy of the evaluation data of the integration of the e-commerce real economy and the digital economy is improved.

[0066] Furthermore, the specific process of judging whether to adjust the data processing capacity according to the fusion processing capacity evaluation index is as follows: the first step is to judge whether the fusion processing capacity evaluation index is not lower than the preset processing capacity threshold. When the fusion processing capacity evaluation index is not lower than the preset processing capacity threshold, the data processing capacity adjustment is not performed, otherwise the second step is executed; the second step is to perform data sharing optimization processing. When the monitored fusion processing capacity evaluation index is not lower than the preset processing capacity threshold, the data processing capacity adjustment is stopped, otherwise the third step is executed. The data sharing optimization processing means realizing data intercommunication and data exchange through API (application programming interface); the third step is to perform data integration optimization. When the monitored fusion processing capacity evaluation index is not lower than the preset processing capacity threshold, the data processing capacity adjustment is stopped, otherwise an alarm prompt is sent. The data integration optimization means realizing seamless data flow through the middleware method.

[0067] In this embodiment, the preset processing capacity threshold is represented by the average value of the fusion processing capacity evaluation index of the historical time period in the database. The API (Application Programming Interface) allows different components to communicate and exchange data. When data sharing is required, the components can send or receive data by calling the API. Different systems or components can communicate data according to predetermined rules. In the e-commerce platform, data sharing optimization processing can help different components in the platform to achieve seamless data flow, such as user information, product information, order information, etc. Middleware is a software layer located between different systems or components. It provides functions such as data conversion, message transmission, and process control, so that different systems or components can interact in a standardized way. In this way, the e-commerce platform can achieve seamless data flow and unified management between different components, improve the accuracy and consistency of data, and realize the improvement of the accuracy of the integration evaluation data of the e-commerce real economy and the digital economy.

[0068] Furthermore, the specific process of data fusion based on the reliability qualified e-commerce digital related data after the data processing capability is adjusted is as follows: obtaining the reliability qualified e-commerce digital related data after the data processing capability is adjusted; inputting the reliability qualified e-commerce digital related data and the expected fusion evaluation results into the large language model to obtain the fusion evaluation results; the fusion evaluation results are used to reflect the integration of the e-commerce real economy and the digital economy.

[0069] In this embodiment, the reliability-qualified e-commerce digital related data and the expected fusion evaluation results are input into a large language model. For example, the reliability-qualified e-commerce digital related data and the expected fusion evaluation results are input into BERT (Bidirectional Encoder Representations from Transformers, a pre-trained language model) for training to obtain a trained large language model, and the real-time obtained reliability-qualified e-commerce digital related data are input into the trained large language model. The trained large language model outputs the fusion evaluation results (fusion evaluation report, data visualization display, etc.). The large language model also has language generation capabilities, and can output the results of data fusion in the form of natural language, which indirectly improves the accuracy of data reliability evaluation, thereby achieving the improvement of the accuracy of e-commerce real economy and digital economy fusion evaluation data.

[0070] To summarize, the embodiment of the present application performs data reliability assessment through the acquired data reliability index and obtains reliability-qualified e-commerce digital-related data, and then determines whether to adjust the data transmission capacity based on the acquired data transmission capacity assessment index, and then determines whether to adjust the data processing capacity based on the acquired fusion processing capacity assessment index, and finally performs data fusion based on the reliability-qualified e-commerce digital-related data after the data processing capacity adjustment, thereby achieving an improvement in the adequacy of the evaluation effect of the integration of the e-commerce real economy and the digital economy, and then achieving an improvement in the accuracy of the evaluation data of the integration of the e-commerce real economy and the digital economy, and effectively solves the problem of inaccurate evaluation data of the integration of the e-commerce real economy and the digital economy in the prior art.

[0071] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0072] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0073] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0074] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0075] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0076] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An evaluation method for the integration of e-commerce real economy and digital economy based on a large language model, characterized by: The following steps are involved: S1, obtaining a data reliability index based on the acquired e-commerce digital related data, performing data reliability assessment based on the data reliability index and obtaining reliable e-commerce digital related data, wherein the data reliability index is used to reflect the reliability of data transmission in the process of integration of the e-commerce real economy and the digital economy; S2, obtaining a data transmission capacity evaluation index based on the digital data related to the qualified e-commerce with reliability, and judging whether to adjust the data transmission capacity according to the data transmission capacity evaluation index, wherein the data transmission capacity evaluation index is used to evaluate the data transmission capacity in the process of integrating the e-commerce real economy with the digital economy; S3, obtaining a fusion processing capability evaluation index based on the reliability qualified e-commerce digital related data after the data transmission capability adjustment, and judging whether to adjust the data processing capability according to the fusion processing capability evaluation index, wherein the fusion processing capability evaluation index is used to evaluate the data processing capability in the process of the integration of the e-commerce real economy and the digital economy; S4, data fusion is performed based on the reliability qualified e-commerce digital related data after the data processing capability is adjusted.

2. The method for evaluating the integration of e-commerce real economy and digital economy based on a large language model as claimed in claim 1, characterized in that: The e-commerce digital related data includes page byte count, page loading time, and page response speed; The reliability qualified e-commerce digital related data includes the stable data transmission volume, stable data transmission time, average sending rate, page browsing time and order processing time.

3. The method for evaluating the integration of e-commerce real economy and digital economy based on a large language model as claimed in claim 2 is characterized in that: The specific process of obtaining the data reliability index based on the obtained e-commerce digital related data is as follows: The page byte compliance value is obtained by performing a ratio operation between the sum of the page byte number and the reference page byte maximum value obtained from the database and twice the reference page byte maximum value; The loading time compliance value is obtained by performing a ratio operation on the sum of the page loading time and the maximum value of the reference loading time obtained from the database and twice the maximum value of the reference loading time; The response speed compliance value is obtained by performing a ratio operation between the sum of the page response speed and the maximum reference response speed value obtained from the database and twice the maximum reference response speed value; The data reliability index is obtained by combining the page byte compliance value, the loading time compliance value and the response speed compliance value.

4. The method for evaluating the integration of e-commerce real economy and digital economy based on a large language model as claimed in claim 3 is characterized in that: The specific process of evaluating data reliability based on the data reliability index and obtaining reliable e-commerce digital related data is as follows: AA1: When the data reliability index is lower than the preset reliability threshold in the database, AA2 is executed, otherwise, the data transmission capability evaluation is continued; AA2, perform load balancing processing. When the monitored data reliability index is not lower than the preset reliability threshold, the e-commerce digital related data corresponding to the data reliability index not lower than the preset reliability threshold is marked as reliable e-commerce digital related data, and continue to perform data transmission capacity assessment. Otherwise, execute AA3; AA3, send a prompt to the preset personnel to set up a dedicated data transmission channel. When the monitored data reliability index is not lower than the preset reliability threshold, the e-commerce digital related data corresponding to the data reliability index not lower than the preset reliability threshold will be marked as qualified e-commerce digital related data, and continue to evaluate the data transmission capacity. Otherwise, send an alarm prompt.

5. The method for evaluating the integration of e-commerce real economy and digital economy based on a large language model as claimed in claim 3 is characterized in that: The limiting expression of the data reliability index is as follows: Where WDX h represents the data reliability index in the hth preset time period, h=1,2,...s, h represents the number of the preset time period, s represents the total number of preset time periods, Indicates the page byte value corresponding to the e-commerce digital related data in the hth preset time period, Indicates the loading time corresponding to the e-commerce digital data in the hth preset time period, XY 0 h It represents the response speed compliance value corresponding to the e-commerce digital related data in the hth preset time period, and e represents a natural constant.

6. The method for evaluating the integration of e-commerce real economy and digital economy based on a large language model as claimed in claim 1, characterized in that: The specific process of obtaining the data transmission capability evaluation index based on the digital data related to the reliability qualified e-commerce is as follows: Get the transmission bandwidth compliance value and transmission rate compliance value; The transmission rate compliance value is represented by the result of a ratio operation between the sum of the average transmission rate and the maximum reference transmission rate value obtained from the database and twice the maximum reference transmission rate value; The data transmission capability evaluation index is obtained by combining the transmission bandwidth compliance value, the transmission rate compliance value, the data reliability index not less than the preset reliability threshold, and the preset first transmission impact weight coefficient, the preset second transmission impact weight coefficient, and the preset third transmission impact weight coefficient obtained from the database; The transmission bandwidth compliance value is used to reflect the compliance degree of the transmission bandwidth within a preset time period.

7. The method for evaluating the integration of e-commerce real economy and digital economy based on a large language model as claimed in claim 1, characterized in that: The specific process of determining whether to adjust the data transmission capacity according to the data transmission capacity evaluation index is as follows: When the data transmission capability evaluation index is not lower than the preset converged transmission threshold, the data transmission capability is not adjusted. Otherwise, the following steps are performed: Step 1: perform content distribution. When the monitored data transmission capacity evaluation index is not lower than the preset converged transmission threshold, stop adjusting the data transmission capacity. Otherwise, perform step 2. Step 2: Optimize bandwidth utilization. When the monitored data transmission capacity evaluation index is not lower than the preset fusion transmission threshold, stop adjusting the data transmission capacity. Otherwise, send an alarm prompt.

8. The method for evaluating the integration of e-commerce real economy and digital economy based on a large language model as claimed in claim 1, characterized in that: The specific process of obtaining the fusion processing capability evaluation index based on the reliability qualified e-commerce digital related data after the data transmission capability adjustment is as follows: The order processing time compliance value is obtained by performing a ratio operation between twice the maximum reference processing time obtained from the database and the sum of the maximum reference processing time and the order processing time; The page browsing time compliance value is obtained by performing a ratio operation between twice the maximum value of the reference page browsing time obtained from the database and the sum of the page browsing time and the maximum value of the reference page browsing time; The fusion processing capability evaluation index is obtained by combining the order processing time compliance value, the page browsing time compliance value and the fusion processing capability evaluation index that is not less than the preset fusion transmission threshold.

9. The method for evaluating the integration of e-commerce real economy and digital economy based on a large language model as claimed in claim 8, characterized in that: The specific process of judging whether to adjust the data processing capability according to the fusion processing capability evaluation index is as follows: The first step is to determine whether the fusion processing capability evaluation index is not lower than the preset processing capability threshold. When the fusion processing capability evaluation index is not lower than the preset processing capability threshold, the data processing capability is not adjusted, otherwise the second step is executed; The second step is to optimize data sharing. When the monitored fusion processing capability evaluation index is not lower than the preset processing capability threshold, the data processing capability adjustment is stopped. Otherwise, the third step is executed. The third step is to optimize data integration. When the monitored fusion processing capability evaluation index is not lower than the preset processing capability threshold, stop adjusting the data processing capability. Otherwise, send an alarm prompt.

10. The method for evaluating the integration of e-commerce real economy and digital economy based on a large language model as claimed in claim 1, characterized in that: The specific process of data fusion based on the reliable qualified e-commerce digital related data after the data processing capacity adjustment is as follows: Obtaining reliable and qualified e-commerce digital data after adjusting the data processing capacity; Inputting the reliability qualified e-commerce digital related data and the expected fusion evaluation results into the large language model to obtain the fusion evaluation results; The integration assessment results are used to reflect the integration of the e-commerce real economy and the digital economy.

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