Online management system for electronic product leasing

Abstract

The invention belongs to the technical field of lease management, and provides an online management system for electronic product lease, which analyzes and processes a plurality of historical high-frequency reports and a target analysis report to obtain a comparison change value and a comparison degree value, analyzes and processes the comparison change value and a comparison mean value, and outputs a comparison analysis value. Therefore, ranking changes and lease degree changes of the reference analysis products in the historical high-frequency report and the target analysis report are reflected by comparing the analysis values, whether lease of the target analysis product in the management period is stable or not is further determined, and lease work of the target analysis product in the future management period is predicted.

Description

Technical Field

[0001] The present invention belongs to the technical field of leasing management, and in particular is an online management system for leasing electronic products. Background Art

[0002] The online management system for electronic product rental is a comprehensive service platform that integrates multiple functions. With the increasing diversification and personalization of consumers' demand for electronic products and the rapid development of the rental industry, the online management system for electronic product rental is gradually becoming the mainstream trend of the market.

[0003] In the prior art, the inventory of leased electronic products can be managed through an online management system for electronic product leasing to ensure that the quantity and quality of the equipment meet business needs. However, the leasing prediction of electronic products needs to be improved. Therefore, by analyzing the quantity and frequency of electronic products leased during the management cycle, the electronic products with high frequency of leases during the management cycle are determined. At the same time, multiple historical management cycles are analyzed to obtain historical high-frequency reports, which provide a reference for the leasing management early warning of the target analysis products during the management cycle. Multiple historical high-frequency reports are analyzed with the target analysis report to reflect the ranking changes and leasing degree changes of multiple reference analysis products in the historical high-frequency reports and the target analysis report, thereby determining whether the leasing of the target analysis products during the management cycle is stable, and providing a prediction for the leasing of the target analysis products in the future management cycle.

[0004] To this end, the present invention provides an online management system for electronic product rental. Summary of the invention

[0005] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0006] The technical solution adopted by the present invention to solve the technical problem is: an online management system for electronic product rental, comprising:

[0007] Data analysis module: during the management cycle, based on the rental information in multiple groups of electronic product rental contracts, the high-frequency rental quantity and high-frequency gap value are obtained, and the high-frequency rental quantity and high-frequency gap value are analyzed and processed to output the high-frequency rental value;

[0008] Analysis and evaluation module: Based on the high-frequency rental value, the high-frequency rental value is compared with the high-frequency rental threshold, and then a hot rental signal is generated to obtain the target analysis product, and based on the target analysis product, a target analysis report is generated;

[0009] Reference analysis module: obtains the leasing information of multiple groups of electronic product leasing contracts within multiple historical management cycles, obtains the historical leasing quantity and the historical leasing gap value, analyzes and processes the historical leasing quantity and the historical leasing gap value, outputs the historical high-frequency leasing value, and compares the historical high-frequency leasing value with the historical high-frequency leasing threshold to obtain a historical high-frequency report;

[0010] Reference comparison module: Analyze and process multiple historical high-frequency reports and target analysis reports to obtain comparison change values ​​and comparison degree values, and analyze and process the comparison change values ​​and comparison mean values ​​to output comparison analysis values, compare the comparison analysis values ​​with the comparison analysis threshold, and generate a rental stability signal if the comparison analysis value is less than or equal to the comparison analysis threshold.

[0011] As a further solution of the present invention, the high-frequency rental value is obtained by:

[0012] Extract the leasing information of multiple groups of leasing electronic product contracts within the management period, obtain the number of leased electronic products of the same model, calculate the ratio of the number of leased electronic products of the same model to the total number of leased electronic products within the management period, and obtain the number of high-frequency leases;

[0013] Get the rental time of the same model of electronic products, subtract the rental time of the same model of electronic products, take the absolute value, and get the rental time difference;

[0014] All the rental time differences are added together and averaged, and then the ratio is calculated with the total duration of the management cycle to obtain the high-frequency gap value;

[0015] The high-frequency lease quantity is calculated by ratioing the high-frequency gap value to obtain the high-frequency lease value.

[0016] As a further solution of the present invention, the target analysis report is obtained by:

[0017] If the high-frequency rental value is greater than or equal to the high-frequency rental threshold, a hot rental signal is generated, and the rental electronic product corresponding to the hot rental signal is marked as a target analysis product;

[0018] Summarize and count the target analysis products to obtain a target analysis report.

[0019] As a further solution of the present invention, the historical analysis period is obtained in the following manner:

[0020] The leasing information of multiple groups of electronic product leasing contracts within multiple historical management periods is extracted, and the historical management period of the target analysis product is marked as a historical analysis period.

[0021] As a further solution of the present invention, the method for obtaining the historical rental quantity is:

[0022] During the historical analysis period, the target analysis product quantity is obtained, and the ratio of the target analysis product quantity to the total number of leased electronic products during the historical management period is calculated to obtain the historical target quantity;

[0023] Add the historical target quantities corresponding to multiple historical analysis periods and take the average to obtain the historical rental quantity, which is marked as S l ;

[0024] The historical lease gap value is obtained as follows:

[0025] In the historical analysis cycle, obtain the rental time of the target analysis product, subtract the rental time of the target analysis product, take the absolute value, and obtain the historical gap time;

[0026] The historical gap time corresponding to multiple historical analysis cycles is added and averaged, and the ratio is calculated with the total length of the management cycle to obtain the historical lease gap value, which is marked as T l .

[0027] As a further solution of the present invention, the method of obtaining the historical high-frequency report is:

[0028] The historical rental quantity S l and the historical rental gap value T l Substituting into the formula: The historical high-frequency rental value SL is calculated.

[0029] As a further solution of the present invention, the method of obtaining the historical high-frequency report is:

[0030] Compare the historical high-frequency rental value with the historical high-frequency rental threshold. If the historical high-frequency rental value is greater than or equal to the historical high-frequency rental threshold, generate a historical high-frequency signal and mark it as a historical high-frequency product.

[0031] Based on historical high-frequency products, all historical high-frequency products are summarized and integrated to obtain a historical high-frequency report.

[0032] As a further solution of the present invention, the historical reference report is obtained by:

[0033] In the historical high-frequency report, the historical high-frequency leasing values ​​corresponding to the historical high-frequency products are compared, and the historical high-frequency products in the historical reference report are ranked from large to small;

[0034] In the target analysis report, the high-frequency rental values ​​corresponding to the target analysis products are compared, and the target analysis products in the target analysis report are ranked from large to small. One target analysis product is randomly extracted from the target analysis report as a reference analysis product;

[0035] Based on the reference analysis product, multiple historical high-frequency reports are screened, and the historical high-frequency reports that have reference analysis products are marked as historical reference reports.

[0036] As a further solution of the present invention, the comparison analysis value is obtained by:

[0037] Obtain the rankings of reference analysis products in multiple historical reference reports and mark them as historical rankings;

[0038] Get the ranking of the reference analysis product in the target analysis report and mark it as the target ranking;

[0039] Subtract the target ranking from the historical ranking, take the absolute value, and get the ranking difference;

[0040] Add all ranking differences and take the average to get the comparison change value, which is marked as D b ;

[0041] Obtain the historical high-frequency lease values ​​of the reference analysis product in multiple historical reference reports and the high-frequency lease values ​​in the target analysis report, subtract the historical high-frequency lease values ​​from the high-frequency lease values, take the absolute value, and obtain the lease degree difference;

[0042] Add up all the rental degree differences and take the average to get the comparison degree value, which is marked as D c ;

[0043] Compare the change value D b Compared with the degree value D c Substituting into the formula: The comparison reference value BD is calculated, wherein θ and μ represent preset proportional coefficients, and θ is 4.525 and μ is 3.964.

[0044] As a further solution of the present invention, the comparison analysis value is compared with the comparison analysis threshold value, and the process is as follows:

[0045] If the comparison analysis value is greater than the comparison analysis threshold, a rental fluctuation signal is generated;

[0046] If the comparison analysis value is less than or equal to the comparison analysis threshold, a rental stability signal is generated.

[0047] The beneficial effects of the present invention are as follows:

[0048] (1) The present invention obtains the high-frequency lease quantity and the high-frequency gap value according to the lease information in the multiple sets of leased electronic product contracts during the management period, analyzes and processes the high-frequency lease quantity and the high-frequency gap value, and outputs the high-frequency lease value, which reflects the frequency and quantity of a certain type of electronic product being leased relative to other types of electronic products during the management period, thereby determining the high-frequency leased electronic products during the management period according to the frequency and quantity of the electronic products being leased;

[0049] (2) The present invention obtains the leasing information of multiple groups of electronic product leasing contracts within multiple historical management cycles, obtains the historical leasing quantity and the historical leasing gap value, analyzes and processes the historical leasing quantity and the historical leasing gap value, and outputs the historical high-frequency leasing value, thereby analyzing whether the demand for leasing historical leasing products is stable within multiple historical management cycles, screening out the historical high-frequency products within multiple historical management cycles, and summarizing the historical high-frequency reports based on the multiple historical high-frequency products, thereby providing a reference basis for the leasing management early warning of the target analysis products within the management cycle;

[0050] (3) The present invention analyzes and processes multiple historical high-frequency reports and target analysis reports to obtain comparison change values ​​and comparison degree values, and analyzes and processes the comparison change values ​​and comparison mean values ​​to output comparison analysis values, thereby reflecting the ranking changes and leasing degree changes of multiple reference analysis products in historical high-frequency reports and target analysis reports through comparison analysis values, thereby determining whether the leasing of target analysis products within the management cycle is stable, and providing a prediction for the leasing of target analysis products within the future management cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The present invention will be further described below in conjunction with the accompanying drawings.

[0052] Figure 1 It is a system flow chart of an online management system for electronic product leasing of the present invention;

[0053] Figure 2 The invention discloses a method and step flow chart of an online management system for electronic product leasing. DETAILED DESCRIPTION

[0054] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0055] Example 1

[0056] like Figure 1 - Figure 2 As shown, an online management system for electronic product rental according to an embodiment of the present invention includes:

[0057] Data analysis module: during the management cycle, based on the rental information in multiple groups of electronic product rental contracts, the high-frequency rental quantity and high-frequency gap value are obtained, and the high-frequency rental quantity and high-frequency gap value are analyzed and processed to output the high-frequency rental value;

[0058] It should be noted that the management cycle can be half a month, a month, a quarter or a year, etc.;

[0059] In some embodiments, the leasing information of multiple groups of electronic product leasing contracts within a management period is extracted, and the process is as follows:

[0060] It should be noted that the rental information of the electronic product rental contract includes but is not limited to the model of the leased electronic product, the brand of the leased electronic product, the rental period, etc.;

[0061] Obtain the number of electronic products leased with the same model, calculate the ratio of the number of electronic products leased with the same model to the total number of electronic products leased within the management period, and obtain the number of high-frequency leases;

[0062] Get the rental time of the same model of electronic products, subtract the rental time of the same model of electronic products, take the absolute value, and get the rental time difference;

[0063] All the rental time differences are added together and averaged, and then the ratio is calculated with the total duration of the management cycle to obtain the high-frequency gap value;

[0064] Calculate the ratio of the high-frequency lease quantity to the high-frequency gap value to obtain the high-frequency lease value;

[0065] It can be understood that the meaning of the high-frequency leasing value is: a comprehensive measure of the frequency and quantity of a certain type of electronic product being leased relative to other types of electronic products during the management cycle. Specifically, the larger the value, the more and more frequently a certain type of electronic product is leased during the management cycle. On the contrary, the smaller the value, the less and less frequently a certain type of electronic product is leased during the management cycle.

[0066] Analysis and evaluation module: Based on the high-frequency rental value, the high-frequency rental value is compared with the high-frequency rental threshold. If the high-frequency rental value is greater than or equal to the high-frequency rental threshold, a hot rental signal is generated, a target analysis product is obtained, and a target analysis report is generated based on the target analysis product;

[0067] The high frequency lease value is compared to the high frequency lease threshold as follows:

[0068] If the high-frequency rental value is greater than or equal to the high-frequency rental threshold, it means that a certain type of electronic product has been rented in large quantities during the management period, and a hot rental signal is generated, and the rental electronic product corresponding to the hot rental signal is marked as the target analysis product;

[0069] If the high-frequency rental value is less than the high-frequency rental threshold, it means that a certain type of electronic product has been rented in small quantities during the management period, generating a cold rental signal;

[0070] Summarize and count the target analysis products to obtain a target analysis report;

[0071] Specific implementation method of the embodiment of the present invention: During a management period, high-frequency lease quantities and high-frequency gap values ​​are obtained based on the lease information in multiple groups of leased electronic product contracts, and the high-frequency lease quantities and high-frequency gap values ​​are analyzed and processed to output high-frequency lease values, which reflect the frequency and quantity of a certain type of electronic product being leased relative to other types of electronic products during the management period, thereby determining the electronic products that are leased at a high frequency during the management period through the frequency and quantity of the electronic products being leased.

[0072] Example 2

[0073] like Figure 1 - Figure 2 As shown, based on Example 1, an online management system for electronic product rental according to an embodiment of the present invention includes:

[0074] Reference analysis module: obtain the leasing information of multiple groups of electronic product leasing contracts within multiple historical management cycles, obtain the historical leasing quantity and the historical leasing gap value, analyze and process the historical leasing quantity and the historical leasing gap value, output the historical high-frequency leasing value, and compare the historical high-frequency leasing value with the historical high-frequency leasing threshold. If the historical high-frequency leasing value is greater than or equal to the historical high-frequency leasing threshold, generate a historical high-frequency signal and mark it as a historical high-frequency product. Summarize and integrate the historical high-frequency products to obtain a historical high-frequency report.

[0075] In some embodiments, the rental information of multiple groups of electronic product rental contracts within multiple historical management periods is extracted, and the historical management period of the target analysis product is marked as a historical analysis period;

[0076] During the historical analysis period, the target analysis product quantity is obtained, and the ratio of the target analysis product quantity to the total number of leased electronic products during the historical management period is calculated to obtain the historical target quantity;

[0077] Add the historical target quantities corresponding to multiple historical analysis periods and take the average to obtain the historical rental quantity, which is marked as S l ;

[0078] In the historical analysis cycle, obtain the rental time of the target analysis product, subtract the rental time of the target analysis product, take the absolute value, and obtain the historical gap time;

[0079] The historical gap time corresponding to multiple historical analysis cycles is added and averaged, and the ratio is calculated with the total length of the management cycle to obtain the historical rental gap value, which is marked as T l ;

[0080] The historical rental quantity S l and the historical rental gap value T l Substituting into the formula: The historical high-frequency rental value SL is calculated, where α and β represent preset proportional coefficients, and α is 2.647 and β is 4.386;

[0081] It can be understood that the meaning of the historical high-frequency rental value is: a comprehensive measure of the frequency and quantity of the target analysis product being rented relative to other electronic products in multiple historical management cycles. Specifically, the larger the value, the more stable and frequent the rental demand of the historical rental product in history. On the contrary, the smaller the value, the more volatile the rental demand of the historical rental product in history.

[0082] Compare the historical high-frequency lease value with the historical high-frequency lease threshold as follows:

[0083] If the historical high-frequency leasing value is greater than or equal to the historical high-frequency leasing threshold, it means that the target analysis product has stable and frequent leasing demand in history, and a historical high-frequency signal is generated and marked as a historical high-frequency product;

[0084] If the historical high-frequency leasing value is less than the historical high-frequency leasing threshold, it means that the leasing demand of the target analysis product has fluctuated greatly in history, and a leasing fluctuation signal is generated;

[0085] Based on historical high-frequency products, all historical high-frequency products are summarized and integrated to obtain a historical high-frequency report;

[0086] The specific implementation scheme of the embodiment of the present invention is: obtaining rental information of multiple groups of electronic product rental contracts within multiple historical management cycles, obtaining historical rental quantities and historical rental gap values, analyzing and processing the historical rental quantities and historical rental gap values, and outputting historical high-frequency rental values, thereby analyzing whether the demand for leasing historical rental products is stable within multiple historical management cycles, screening out historical high-frequency products within multiple historical cycle management cycles, and summarizing the multiple historical high-frequency products to obtain a historical high-frequency report, which provides a reference basis for the rental management early warning of the target analysis products within the management cycle.

[0087] Example 3

[0088] like Figure 1 - Figure 2 As shown, based on Example 1 and Example 2, an online management system for electronic product rental according to an embodiment of the present invention includes:

[0089] Reference comparison module: Analyze and process multiple historical high-frequency reports and target analysis reports to obtain comparison change values ​​and comparison degree values, and analyze and process the comparison change values ​​and comparison mean values ​​to output comparison analysis values, and compare the comparison analysis values ​​with the comparison analysis threshold. If the comparison analysis value is less than or equal to the comparison analysis threshold, a rental stability signal is generated;

[0090] In some embodiments, in the historical high frequency report, a comparison is performed based on the historical high frequency rental values ​​corresponding to the historical high frequency products, and the historical high frequency products in the historical reference report are ranked in descending order;

[0091] In the target analysis report, the high-frequency rental values ​​corresponding to the target analysis products are compared, and the target analysis products in the target analysis report are ranked from large to small. One target analysis product is randomly extracted from the target analysis report as a reference analysis product;

[0092] Based on the reference analysis product, multiple historical high-frequency reports are screened, and the historical high-frequency reports with reference analysis products are marked as historical reference reports;

[0093] Obtain the rankings of reference analysis products in multiple historical reference reports and mark them as historical rankings;

[0094] Get the ranking of the reference analysis product in the target analysis report and mark it as the target ranking;

[0095] Subtract the target ranking from the historical ranking, take the absolute value, and get the ranking difference;

[0096] Add all ranking differences and take the average to get the comparison change value, which is marked as D b ;

[0097] Obtain the historical high-frequency lease values ​​of the reference analysis product in multiple historical reference reports and the high-frequency lease values ​​in the target analysis report, subtract the historical high-frequency lease values ​​from the high-frequency lease values, take the absolute value, and obtain the lease degree difference;

[0098] Add up all the rental degree differences and take the average to get the comparison degree value, which is marked as D c ;

[0099] Compare the change value D bCompared with the degree value D c Substituting into the formula: The comparison reference value BD is calculated, wherein θ and μ represent preset proportional coefficients, and θ is 4.525 and μ is 3.964;

[0100] All comparison reference values ​​are subjected to variance to obtain comparison analysis values;

[0101] It can be explained that the meaning of the comparison analysis value is: reflecting the ranking changes and leasing degree changes of multiple reference analysis products in the historical high-frequency report and the target analysis report. Specifically, the larger the value, the greater the ranking changes of multiple reference analysis products in the historical high-frequency report and the target analysis report, and the greater the leasing degree changes. On the contrary, the smaller the value, the smaller the ranking changes of the reference analysis products in the historical high-frequency report and the target analysis report, and the smaller the leasing degree changes.

[0102] Compare the alignment value to the alignment threshold as follows:

[0103] If the comparison analysis value is greater than the comparison analysis threshold, it means that the ranking of the reference analysis product in the historical high-frequency report and the target analysis report has changed significantly, and the leasing degree has changed significantly, generating a leasing fluctuation signal;

[0104] If the comparison analysis value is less than or equal to the comparison analysis threshold, it means that the ranking of the reference analysis product in the historical high-frequency report and the target analysis report has changed little, and the leasing degree has changed little, generating a stable leasing signal;

[0105] The specific implementation scheme of the embodiment of the present invention is: multiple historical high-frequency reports and target analysis reports are analyzed and processed to obtain comparison change values ​​and comparison degree values, and the comparison change values ​​and comparison mean values ​​are analyzed and processed to output comparison analysis values, thereby reflecting the ranking changes and leasing degree changes of multiple reference analysis products in historical high-frequency reports and target analysis reports through comparison analysis values, and then determining whether the leasing of target analysis products within the management cycle is stable, and providing a prediction for the leasing of target analysis products within future management cycles.

[0106] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An online management system for electronic product rental, characterized in that: include: Data analysis module: during the management cycle, based on the rental information in multiple groups of electronic product rental contracts, the high-frequency rental quantity and high-frequency gap value are obtained, and the high-frequency rental quantity and high-frequency gap value are analyzed and processed to output the high-frequency rental value; Analysis and evaluation module: Based on the high-frequency rental value, the high-frequency rental value is compared with the high-frequency rental threshold, and then a hot rental signal is generated to obtain the target analysis product, and based on the target analysis product, a target analysis report is generated; Reference analysis module: obtains the leasing information of multiple groups of electronic product leasing contracts within multiple historical management cycles, obtains the historical leasing quantity and the historical leasing gap value, analyzes and processes the historical leasing quantity and the historical leasing gap value, outputs the historical high-frequency leasing value, and compares the historical high-frequency leasing value with the historical high-frequency leasing threshold to obtain a historical high-frequency report; Reference comparison module: Analyze and process multiple historical high-frequency reports and target analysis reports to obtain comparison change values ​​and comparison degree values, and analyze and process the comparison change values ​​and comparison mean values ​​to output comparison analysis values, compare the comparison analysis values ​​with the comparison analysis threshold, and generate a rental stability signal if the comparison analysis value is less than or equal to the comparison analysis threshold.

2. The online management system for electronic product rental according to claim 1, characterized in that: The high-frequency rental value is obtained as follows: Extract the leasing information of multiple groups of leasing electronic product contracts within the management period, obtain the number of leased electronic products of the same model, calculate the ratio of the number of leased electronic products of the same model to the total number of leased electronic products within the management period, and obtain the number of high-frequency leases; Get the rental time of the same model of electronic products, subtract the rental time of the same model of electronic products, take the absolute value, and get the rental time difference; All the rental time differences are added together and averaged, and then the ratio is calculated with the total duration of the management cycle to obtain the high-frequency gap value; The high-frequency lease quantity is calculated by ratioing the high-frequency gap value to obtain the high-frequency lease value.

3. The online management system for electronic product rental according to claim 2, characterized in that: The target analysis report can be obtained by: If the high-frequency rental value is greater than or equal to the high-frequency rental threshold, a hot rental signal is generated, and the rental electronic product corresponding to the hot rental signal is marked as a target analysis product; Summarize and count the target analysis products to obtain a target analysis report.

4. The online management system for electronic product rental according to claim 1, characterized in that: The historical analysis period is obtained as follows: The leasing information of multiple groups of electronic product leasing contracts within multiple historical management periods is extracted, and the historical management period of the target analysis product is marked as a historical analysis period.

5. The online management system for electronic product rental according to claim 4, characterized in that: The method for obtaining the historical lease quantity is as follows: During the historical analysis period, the target analysis product quantity is obtained, and the ratio of the target analysis product quantity to the total number of leased electronic products during the historical management period is calculated to obtain the historical target quantity; Add the historical target quantities corresponding to multiple historical analysis periods and take the average to obtain the historical rental quantity, which is marked as S l ; The historical lease gap value is obtained as follows: In the historical analysis cycle, obtain the rental time of the target analysis product, subtract the rental time of the target analysis product, take the absolute value, and obtain the historical gap time; The historical gap time corresponding to multiple historical analysis cycles is added and averaged, and the ratio is calculated with the total length of the management cycle to obtain the historical lease gap value, which is marked as T l .

6. The online management system for electronic product rental according to claim 5, characterized in that: The method for obtaining historical high-frequency reports is: The historical rental quantity S l and the historical rental gap value T l Substituting into the formula: The historical high-frequency rental value SL is calculated.

7. The online management system for electronic product rental according to claim 6, characterized in that: The method for obtaining historical high-frequency reports is: Compare the historical high-frequency rental value with the historical high-frequency rental threshold. If the historical high-frequency rental value is greater than or equal to the historical high-frequency rental threshold, generate a historical high-frequency signal and mark it as a historical high-frequency product. Based on historical high-frequency products, all historical high-frequency products are summarized and integrated to obtain a historical high-frequency report.

8. The online management system for electronic product rental according to claim 1, characterized in that: The historical reference report can be obtained by: In the historical high-frequency report, the historical high-frequency leasing values ​​corresponding to the historical high-frequency products are compared, and the historical high-frequency products in the historical reference report are ranked from large to small; In the target analysis report, the high-frequency rental values ​​corresponding to the target analysis products are compared, and the target analysis products in the target analysis report are ranked from large to small. One target analysis product is randomly extracted from the target analysis report as a reference analysis product; Based on the reference analysis product, multiple historical high-frequency reports are screened, and the historical high-frequency reports that have reference analysis products are marked as historical reference reports.

9. The online management system for electronic product rental according to claim 8, characterized in that: The comparison analysis value is obtained as follows: Obtain the rankings of reference analysis products in multiple historical reference reports and mark them as historical rankings; Get the ranking of the reference analysis product in the target analysis report and mark it as the target ranking; Subtract the target ranking from the historical ranking, take the absolute value, and get the ranking difference; Add all ranking differences and take the average to get the comparison change value, which is marked as D b ; Obtain the historical high-frequency lease values ​​of the reference analysis product in multiple historical reference reports and the high-frequency lease values ​​in the target analysis report, subtract the historical high-frequency lease values ​​from the high-frequency lease values, take the absolute value, and obtain the lease degree difference; Add up all the rental degree differences and take the average to get the comparison degree value, which is marked as D c ; Compare the change value D b Compared with the degree value D c Substituting into the formula: The comparison reference value BD is calculated, wherein θ and μ represent preset proportional coefficients, and θ is 4.525 and μ is 3.

964.

10. The online management system for electronic product rental according to claim 9, characterized in that: Compare the alignment value to the alignment threshold as follows: If the comparison analysis value is greater than the comparison analysis threshold, a rental fluctuation signal is generated; If the comparison analysis value is less than or equal to the comparison analysis threshold, a rental stability signal is generated.

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