A multi-tenant subscription service bill management system based on the Internet of Things

Abstract

The present invention discloses a multi-tenant subscription service bill management system based on the Internet of Things, which specifically relates to the technical field of bill management, including a bill acquisition module, a bill preprocessing module, a bill churn assessment module, a bill renewal assessment module, a bill comprehensive weight module, and a bill supervision module. The bill acquisition module is used to acquire bill data from a subscription service payment column in a target application, acquire bill records of several tenants in this cycle, and form a bill record chart; the present invention backtracks a bill churn assessment coefficient and a bill renewal assessment coefficient based on a bill comprehensive weight index result, can easily manage multi-tenant bills of subscription services in an application, is conducive to application managers to process and improve the subscription service payment column in a targeted manner, provide tenants with better quality subscription service payment column services, and improve the core competitiveness of the application.

Description

Technical Field

[0001] The present invention relates to the technical field of bill management, and more specifically, to a multi-tenant subscription service bill management system based on the Internet of Things. Background Art

[0002] Subscription service is an email or content subscription service, which mainly means that tenants can subscribe to specific information released by service providers without having to visit the website every time to check the information service. With the rapid development of Internet of Things technology, more and more applications are beginning to adopt subscription services. Subscription services have great advantages such as extending the development cycle, providing effective feedback, controllability and tenant analysis. At the same time, subscription service providers can also hand over the use of services by counting the behavior of tenants and recommend more targeted content to tenants, so as to achieve the purpose of following the tenant experience and understanding the tenant's behavior.

[0003] The subscription service includes a paid section. After the tenant and the application subscription service provider complete the subscription transaction and form the subscription service bill, the subscription service provider provides the tenant with higher value service content. In order to improve the stickiness between the tenant and the subscription service provider and reduce the tenant churn rate of the subscription service provider, it is necessary to regularly check the subscription service bill to determine whether the tenant is likely to churn. In the existing technology, since there are many factors to judge tenant churn, judging and analyzing from a single factor makes the judgment result single and cannot represent the overall characteristics of multiple tenants. If the subscription service manager analyzes and judges one by one, the work efficiency is reduced. For this reason, a multi-tenant subscription service bill management system based on the Internet of Things is provided. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a multi-tenant subscription service bill management system based on the Internet of Things to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a multi-tenant subscription service bill management system based on the Internet of Things, characterized by comprising a bill acquisition module, a bill preprocessing module, a bill loss assessment module, a bill renewal assessment module, a bill comprehensive weight module, and a bill supervision module.

[0006] The bill acquisition module is used to acquire bill data from the subscription service payment column in the target application, acquire bill records of several tenants in this cycle, and form a bill record chart;

[0007] The bill preprocessing module is used to preprocess the cancellation of the subscription service payment column of the target application in this cycle, count and confirm the cancellation reasons, and mark them as abnormal;

[0008] The bill loss assessment module is used to perform bill loss assessment on the tenant bills of the target application, form a bill loss assessment coefficient, and compare it with a preset bill loss assessment coefficient threshold to determine whether it exceeds the preset bill loss assessment coefficient threshold;

[0009] The bill renewal evaluation module is used to evaluate the bill renewal of the tenant of the target application, form a bill renewal evaluation coefficient, and compare it with the preset bill renewal evaluation coefficient threshold to determine whether it exceeds the preset bill renewal evaluation coefficient threshold;

[0010] The bill comprehensive weight module is used to associate the bill churn assessment coefficient with the bill renewal assessment coefficient to form a bill comprehensive weight index;

[0011] The bill supervision module is used to obtain the bill comprehensive weight index result, determine the influencing factors affecting the subscription bill, and then upload the influencing factors to the cloud.

[0012] In a preferred embodiment, the step of recording the bill chart in the bill acquisition module includes the following steps:

[0013] 101. Obtain all registered tenant information in the target application and its corresponding billing data records, wherein the billing data records include tenant account information, subscription service payment column usage information, tenant bills, etc.;

[0014] 102. Record all bills of the tenant for the paid section of the subscription service in the target application to form a bill log;

[0015] 103. Obtain the bill log and generate a bill record chart, and upload the bill record chart to the cloud.

[0016] In a preferred embodiment, the specific contents of bill preprocessing in the bill preprocessing module include the following:

[0017] 201. Record the target application tenants’ cancellation of subscription service payment column with a subscription period of 30 days, 3 months or a more appropriate period;

[0018] 202. According to the time when the tenant cancels the paid subscription service column, the billing log, the corresponding tenant's account number, and the paid subscription service column for cancellation are matched;

[0019] 203. Determine whether the paid subscription service column canceled by the tenant of the target application during this period is a new tenant. If it is a new tenant, mark the paid subscription service column canceled by the new tenant, generate an abnormal bill and store it in the cloud service end.

[0020] In a preferred embodiment, the specific contents of forming the bill loss assessment coefficient in the bill loss assessment module include the following:

[0021] 301. When a tenant uses a subscription service payment column in a target application, determining a usage frequency Sp of the tenant's account;

[0022] The lower the usage frequency is, the more likely it is to have abnormal bills after it falls below the corresponding threshold. In this cycle, the fewer times the tenant's account is logged in, the more likely it is to have abnormalities. The expression of the usage frequency Sp is as follows:

[0023] Where Zq = 30 days;

[0024] Where Sp represents the usage frequency of the tenant in the most recent billing cycle, Dc represents the total number of times the tenant uses the subscription service payment column in this cycle, and Zq represents a billing cycle;

[0025] 302. When the tenant uses the paid column for the subscription service in the target application, determine the churn frequency Ls of the tenant unsubscribing from the paid column for the subscription service;

[0026] 303. In this cycle, calculate the tenant value loss percentage Js of the target application;

[0027] 304. The usage frequency Sp, the churn frequency Ls, and the tenant value loss ratio Js are normalized and integrated to obtain the bill churn assessment coefficient Lp. The expression of the bill churn assessment coefficient Lp is as follows:

[0028] μ1 and μ2 are changeable constant parameters and are adjusted by the target application administrator according to actual conditions.

[0029] 305. Compare the bill churn assessment coefficient with the preset bill churn assessment coefficient threshold. If the bill churn assessment coefficient is lower than the threshold, after considering various factors, it is determined that the subscription bill churn of the target application is within the normal range. If it is higher than the preset bill churn assessment coefficient threshold, analyze whether the three data of usage frequency Sp, churn frequency Ls and tenant value loss ratio Js are normal, and process the judgment result.

[0030] In a preferred embodiment, the bill renewal evaluation coefficient formed in the bill renewal evaluation module specifically includes the following:

[0031] 401. In the most recent billing cycle, from the first creation of a renewal bill to the end of the last billing time, count the tenant subscription service payment column information interaction volume Xl;

[0032] 402. Periodically monitor the subscription service payment column of the target application, record the number of subscription service renewals, and obtain the score value Pz of the tenant in the subscription service payment column in the target application;

[0033] 403. At the beginning and end of creating a renewal bill in this cycle, count the tenant's activity Hy on the paid column of the subscription service in the target application;

[0034] 404. The information interaction amount Xl, the score value Pz and the activity degree Hy are normalized to form a bill renewal evaluation coefficient Xp for the subscription service. The expression of the bill renewal evaluation coefficient Xp conforms to the following logic:

[0035] Where λ1 and λ2 are both changeable constant parameters, and P is the correction factor of the bill renewal evaluation coefficient, which is adjusted by the target application administrator according to the actual situation;

[0036] 405. Compare the bill renewal evaluation coefficient with the preset bill renewal evaluation coefficient threshold. If the bill renewal evaluation coefficient is higher than the preset bill renewal evaluation coefficient threshold, after considering various factors, determine that there is no abnormality in the renewal bill of the target application subscription service. If it is lower than the threshold, analyze whether there is any abnormality in the three data of information interaction volume, score value and activity, that is, determine whether any of them is lower than the normal value.

[0037] In a preferred embodiment, the bill weight index formed in the bill comprehensive weight module specifically includes the following:

[0038] 501. Divide the current period evenly and mark them as t=1, 2, 3...n-1, n, and obtain a bill cancellation evaluation coefficient and a bill renewal evaluation coefficient respectively;

[0039] 502. Obtain the bill cancellation evaluation coefficient and the bill renewal evaluation coefficient, perform standardization processing, and associate them to form a bill comprehensive weight index Qz. The judgment formula of the bill comprehensive weight index Qz is as follows:

[0040] Among them, 0≤k1≤1,0≤k2≤1 and k1+k2=1; Among them, k1 and k2 are weights, which can be adjusted by the target application manager to obtain Qz(L t， X t ) Evaluate the bill comprehensive weight index of the target application subscription service.

[0041] In a preferred embodiment, the specific operation steps of the bill supervision module include the following:

[0042] 601. Obtain the bill comprehensive weight index result, compare the bill comprehensive weight index with the preset bill comprehensive weight index threshold, and determine whether the bill comprehensive weight index is higher than the threshold. If it is higher than the preset bill comprehensive weight index threshold, it means that the tenant's subscription service bill is correct and no further processing is required. The bill comprehensive weight index result can be directly uploaded.

[0043] 602. Obtain the bill comprehensive weight index result, compare the bill comprehensive weight index with the preset bill comprehensive weight index threshold, and determine whether the bill comprehensive weight index is lower than the threshold. If it is lower than the preset bill comprehensive weight index threshold, determine whether there is an abnormality in the bill cancellation evaluation coefficient and the bill renewal evaluation coefficient;

[0044] 603. Determine the difference between the bill cancellation evaluation coefficient or the bill renewal evaluation coefficient and the threshold value. If the bill cancellation evaluation coefficient is higher than the threshold value or the bill renewal evaluation coefficient is lower than the threshold value, determine the cause of the bill cancellation evaluation coefficient or the bill renewal evaluation coefficient, and upload the abnormal cause and the bill comprehensive weight index result.

[0045] Technical effects and advantages of the present invention:

[0046] The present invention back-traces the bill churn assessment coefficient and the bill renewal assessment coefficient based on the bill comprehensive weight index result. Since the abnormal bills are marked, it is easy to manage the multi-tenant bills of the subscription service within the application, which is beneficial for the application management personnel to process and improve the subscription service payment column in a targeted manner, provide tenants with better quality subscription service payment column services, and improve the core competitiveness of the application. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a system module diagram of the present invention.

[0048] Figure 2 A flow chart is formed for the bill weight index of the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] Example

[0051] See also Figure 1-2As shown, this embodiment provides a multi-tenant subscription service bill management system based on the Internet of Things, including a bill acquisition module, a bill preprocessing module, a bill churn assessment module, a bill renewal assessment module, a bill comprehensive weight module, and a bill supervision module.

[0052] The bill acquisition module is used to acquire bill data from the subscription service payment column in the target application, acquire bill records of several tenants in this cycle, and form a bill record chart;

[0053] In this embodiment, it should be specifically explained that the step of forming a bill record chart in the bill acquisition module includes the following steps:

[0054] 101. Obtain all registered tenant information in the target application and its corresponding billing data records, wherein the billing data records include tenant account information, subscription service payment column usage information, tenant bills, etc.;

[0055] 102. Record all bills of the tenant for the paid section of the subscription service in the target application to form a bill log;

[0056] 103. Obtain the bill log and generate a bill record chart, and upload the bill record chart to the cloud.

[0057] In this embodiment, by recording and storing the billing log, if the tenant cancels the paid column of the subscription service, the billing log can be traced back, which is conducive to targeted optimization of the paid column information of the subscription service in the target application, thereby improving the satisfaction and loyalty of the tenant.

[0058] The bill preprocessing module is used to preprocess the cancellation of the subscription service payment column of the target application in this cycle, count and confirm the cancellation reasons, and mark them as abnormal;

[0059] In this embodiment, it should be specifically explained that the specific contents of the bill preprocessing in the bill preprocessing module include the following:

[0060] 201. Record the target application tenants’ cancellation of subscription service payment column with a subscription period of 30 days, 3 months or a more appropriate period;

[0061] 202. According to the time when the tenant cancels the paid subscription service column, the billing log, the corresponding tenant's account number, and the paid subscription service column for cancellation are matched;

[0062] 203. Determine whether the paid subscription service column canceled by the tenant of the target application during this period is a new tenant. If it is a new tenant, mark the paid subscription service column canceled by the new tenant, generate an abnormal bill and store it in the cloud service end.

[0063] In this embodiment, by associating and locking the tenant's account, cancellation bill, and bill log, it is convenient to quickly trace the source. After the subscription service paid column is cancelled, it can be checked based on the tenant's cancellation bill, and finally it is convenient to determine the reason why the tenant canceled the subscription service paid column. If the cancelled subscription service paid column is for a new tenant, the new tenant's cancellation of the subscription service paid column will be marked to form an abnormal bill, and the factors affecting the stickiness between the target application and the tenant can be judged.

[0064] The bill loss assessment module is used to perform bill loss assessment on the tenant bills of the target application, form a bill loss assessment coefficient, and compare it with a preset bill loss assessment coefficient threshold to determine whether it exceeds the preset bill loss assessment coefficient threshold;

[0065] In this embodiment, it should be specifically explained that the specific contents of forming the bill loss assessment coefficient in the bill loss assessment module include the following:

[0066] 301. When a tenant uses a subscription service payment column in a target application, determining a usage frequency Sp of the tenant's account;

[0067] The lower the usage frequency is, the more likely it is that an abnormal bill will appear after it falls below the corresponding threshold. During this period, the fewer times the tenant's account is logged in, the more likely it is that an abnormality will appear.

[0068] Sp represents the usage frequency of the tenant in the most recent billing cycle, Dc represents the total number of times the tenant uses the subscription service payment column in this cycle, and Zq represents a billing cycle. The expression of the usage frequency Sp is as follows:

[0069] Where Zq = 30 days.

[0070] 302. When the tenant uses the paid column for the subscription service in the target application, determine the churn frequency Ls of the tenant unsubscribing from the paid column for the subscription service;

[0071] The churn frequency refers to the total number of times all tenants cancel the subscription service of the target application within a set period;

[0072] 303. In this cycle, calculate the tenant value loss percentage Js of the target application;

[0073] 304. The usage frequency Sp, the churn frequency Ls, and the tenant value loss ratio Js are normalized and integrated to obtain the bill churn assessment coefficient Lp. The expression of the bill churn assessment coefficient Lp is as follows:

[0074] μ1 and μ2 are changeable constant parameters and are adjusted by the target application administrator according to actual conditions.

[0075] 305. Compare the bill churn assessment coefficient with the preset bill churn assessment coefficient threshold. If the bill churn assessment coefficient is lower than the threshold, after considering various factors, it is determined that the subscription bill churn of the target application is within the normal range. If it is higher than the preset bill churn assessment coefficient threshold, analyze whether the three data of usage frequency Sp, churn frequency Ls and tenant value loss ratio Js are normal, and process the judgment result.

[0076] In this embodiment, a bill loss assessment coefficient is formed by associating the usage frequency, failure frequency and operation cycle of the target application, and appropriate influencing factors are selected according to actual conditions to comprehensively judge the bill loss assessment coefficient of the subscription service payment column in the target application. The target application manager can judge the bill loss abnormality based on the bill loss assessment coefficient and determine the cause of the bill loss abnormality, which is conducive to further improvement and processing of the target application manager.

[0077] The bill renewal evaluation module is used to evaluate the bill renewal of the tenant of the target application, form a bill renewal evaluation coefficient, and compare it with the preset bill renewal evaluation coefficient threshold to determine whether it exceeds the preset bill renewal evaluation coefficient threshold;

[0078] In this embodiment, it should be specifically explained that the specific contents of forming the bill renewal evaluation coefficient in the bill renewal evaluation module include the following:

[0079] 401. In the most recent billing cycle, from the first creation of a renewal bill to the end of the last billing time, count the tenant subscription service payment column information interaction volume Xl;

[0080] 402. Periodically monitor the paid column of the subscription service of the target application. For example, in each set period, monitor the renewal operation of the tenant in the paid column of the subscription service in the target application in real time, record the number of renewals of the subscription service, and obtain the score value Pz of the tenant in the paid column of the subscription service in the target application;

[0081] 403. At the beginning and end of creating a renewal bill in this cycle, count the tenant's activity Hy on the paid column of the subscription service in the target application;

[0082] 404. The information interaction amount Xl, the score value Pz and the activity degree Hy are normalized to form a bill renewal evaluation coefficient Xp for the subscription service. The expression of the bill renewal evaluation coefficient Xp conforms to the following logic:

[0083] Where λ1 and λ2 are both changeable constant parameters, and P is the correction factor of the bill renewal evaluation coefficient, which is adjusted by the target application administrator according to the actual situation;

[0084] 405. Compare the bill renewal evaluation coefficient with the preset bill renewal evaluation coefficient threshold. If the bill renewal evaluation coefficient is higher than the preset bill renewal evaluation coefficient threshold, after considering various factors, determine that there is no abnormality in the renewal bill of the target application subscription service. If it is lower than the threshold, analyze whether there is any abnormality in the three data of information interaction volume, score value and activity, that is, determine whether any of them is lower than the normal value.

[0085] In this embodiment, by collecting the original data of the subscription service tenants in the target application and forming a bill renewal evaluation coefficient model through software fitting processing, the bill renewal evaluation coefficient model is used to determine whether there is an abnormality in the next cycle renewal of the target application subscription service. If an abnormality is predicted, the reasons why the tenant may cancel the renewal can be traced back, which is convenient for the target application manager to carry out targeted processing and improve tenant satisfaction.

[0086] The bill comprehensive weight module is used to associate the bill churn assessment coefficient with the bill renewal assessment coefficient to form a bill comprehensive weight index;

[0087] In this embodiment, it should be specifically explained that the specific contents of the bill weight index formed in the bill comprehensive weight module include the following:

[0088] 501. Divide the current period evenly and mark them as t=1, 2, 3...n-1, n, and obtain a bill cancellation evaluation coefficient and a bill renewal evaluation coefficient respectively;

[0089] 502. Obtain the bill cancellation evaluation coefficient and the bill renewal evaluation coefficient, perform standardization processing, and associate them to form a bill comprehensive weight index Qz. The judgment formula of the bill comprehensive weight index Qz is as follows:

[0090] Among them, 0≤k1≤1,0≤k2≤1 and k1+k2=1; Among them, k1 and k2 are weights, which can be adjusted by the target application manager to obtain Qz(L t， X t ) Evaluate the bill comprehensive weight index of the target application subscription service.

[0091] The bill supervision module is used to obtain the bill comprehensive weight index result, determine the influencing factors affecting the subscription bill, and then upload the influencing factors to the cloud.

[0092] In this embodiment, it should be specifically explained that the specific operation steps of the bill supervision module include the following:

[0093] 601. Obtain the bill comprehensive weight index result, compare the bill comprehensive weight index with the preset bill comprehensive weight index threshold, and determine whether the bill comprehensive weight index is higher than the threshold. If it is higher than the preset bill comprehensive weight index threshold, it means that the tenant's subscription service bill is correct and no further processing is required. The bill comprehensive weight index result can be directly uploaded.

[0094] 602. Obtain the bill comprehensive weight index result, compare the bill comprehensive weight index with the preset bill comprehensive weight index threshold, and determine whether the bill comprehensive weight index is lower than the threshold. If it is lower than the preset bill comprehensive weight index threshold, determine whether there is an abnormality in the bill cancellation evaluation coefficient and the bill renewal evaluation coefficient;

[0095] 603. Determine the difference between the bill cancellation evaluation coefficient or the bill renewal evaluation coefficient and the threshold value. If the bill cancellation evaluation coefficient is higher than the threshold value or the bill renewal evaluation coefficient is lower than the threshold value, determine the cause of the bill cancellation evaluation coefficient or the bill renewal evaluation coefficient, and upload the abnormal cause and the bill comprehensive weight index result.

[0096] In this embodiment, the bill churn assessment coefficient and the bill renewal assessment coefficient are associated through the bill comprehensive weight module and the bill supervision module to form a new bill comprehensive weight index and compare it with the corresponding threshold value, so as to facilitate evaluation and analysis from multiple aspects of the multi-tenant bills of the target application, and trace back the bill churn assessment coefficient and the bill renewal assessment coefficient based on the evaluation and analysis results. Since abnormal bills are marked, it is easy to manage the multi-tenant bills of the target application, which is beneficial for application managers to process and improve the subscription service payment column in a targeted manner, provide tenants with better subscription service payment column services, and improve the core competitiveness of the target application.

[0097] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

[0098] Other embodiments or specific implementations of the multi-tenant subscription service bill management system based on the Internet of Things of the present application can refer to the above method embodiments, which will not be repeated here.

[0099] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A multi-tenant subscription service bill management system based on the Internet of Things, characterized by: It includes bill acquisition module, bill preprocessing module, bill loss assessment module, bill renewal assessment module, bill comprehensive weight module and bill supervision module. The bill acquisition module is used to acquire bill data from the subscription service payment column in the target application, acquire bill records of several tenants in this cycle, and form a bill record chart; The bill preprocessing module is used to preprocess the cancellation of the subscription service payment column of the target application in this cycle, count and confirm the cancellation reasons, and mark them as abnormal; The bill loss assessment module is used to perform bill loss assessment on the tenant bills of the target application, form a bill loss assessment coefficient, and compare it with a preset bill loss assessment coefficient threshold to determine whether it exceeds the preset bill loss assessment coefficient threshold; The specific contents of forming the bill loss assessment coefficient in the bill loss assessment module include the following:

301. When a tenant uses a subscription service payment column in a target application, determining a usage frequency Sp of the tenant's account; The lower the usage frequency is, the more likely it is to have abnormal bills after it falls below the corresponding threshold. In this cycle, the fewer times the tenant's account is logged in, the more likely it is to have abnormalities. The expression of the usage frequency Sp is as follows: Where Zq = 30 days; Where Sp represents the usage frequency of the tenant in the most recent billing cycle, Dc represents the total number of times the tenant uses the subscription service payment column in this cycle, and Zq represents a billing cycle; 302. When the tenant uses the paid column for the subscription service in the target application, determine the churn frequency Ls of the tenant unsubscribing from the paid column for the subscription service; 303. In this cycle, calculate the tenant value loss percentage Js of the target application; 304. The usage frequency Sp, the churn frequency Ls, and the tenant value loss ratio Js are normalized and integrated to obtain the bill churn assessment coefficient Lp. The expression of the bill churn assessment coefficient Lp is as follows: μ1 and μ2 are changeable constant parameters, which can be adjusted by the target application administrator according to the actual situation; 305. Compare the bill churn assessment coefficient with the preset bill churn assessment coefficient threshold. If the bill churn assessment coefficient is lower than the threshold, after considering multiple factors, it is determined that the subscription bill churn of the target application is within a normal range. If it is higher than the preset bill churn assessment coefficient threshold, analyze whether the three data of usage frequency Sp, churn frequency Ls, and tenant value loss ratio Js are normal, and process the judgment result. The bill renewal evaluation module is used to evaluate the bill renewal of the tenant of the target application, form a bill renewal evaluation coefficient, and compare it with the preset bill renewal evaluation coefficient threshold to determine whether it exceeds the preset bill renewal evaluation coefficient threshold; The bill renewal evaluation coefficient formed in the bill renewal evaluation module specifically includes the following:

401. In the most recent billing cycle, from the first creation of a renewal bill to the end of the last billing time, count the tenant subscription service payment column information interaction volume Xl; 402. Periodically monitor the subscription service payment column of the target application, record the number of subscription service renewals, and obtain the score value Pz of the tenant in the subscription service payment column in the target application; 403. At the beginning and end of creating a renewal bill in this cycle, count the tenant's activity Hy on the paid column of the subscription service in the target application; 404. The information interaction amount Xl, the score value Pz and the activity degree Hy are normalized to form a bill renewal evaluation coefficient Xp for the subscription service. The expression of the bill renewal evaluation coefficient Xp conforms to the following logic: Where λ1 and λ2 are both changeable constant parameters, and P is the correction factor of the bill renewal evaluation coefficient, which is adjusted by the target application administrator according to the actual situation; 405. Compare the bill renewal evaluation coefficient with the preset bill renewal evaluation coefficient threshold. If the bill renewal evaluation coefficient is higher than the preset bill renewal evaluation coefficient threshold, it is determined that the renewal bill of the target application subscription service is normal after considering various factors. If it is lower than the threshold, analyze whether the three data of information interaction volume, score value and activity are abnormal, that is, determine whether any of them is lower than the normal value. The bill comprehensive weight module is used to associate the bill churn assessment coefficient with the bill renewal assessment coefficient to form a bill comprehensive weight index; The specific contents of the bill weight index formed in the bill comprehensive weight module include the following:

501. Divide the current period evenly and mark them as t=1, 2, 3...n-1, n, and obtain a bill cancellation evaluation coefficient and a bill renewal evaluation coefficient respectively; 502. Obtain the bill cancellation evaluation coefficient and the bill renewal evaluation coefficient, perform standardization processing, and associate them to form a bill comprehensive weight index Qz. The judgment formula of the bill comprehensive weight index Qz is as follows: Among them, 0≤k1≤1,0≤k2≤1 and k1+k2=1; Among them, k1 and k2 are weights, which can be adjusted by the target application manager to obtain Qz(L t， X t ) Evaluate the comprehensive weight index of the bills of the target application subscription service; The bill supervision module is used to obtain the bill comprehensive weight index result, determine the influencing factors affecting the subscription bill, and then upload the influencing factors to the cloud.

2. According to claim 1, a multi-tenant subscription service bill management system based on the Internet of Things is characterized by: The step of recording the bill chart in the bill acquisition module includes the following steps:

101. Obtain all registered tenant information in the target application and its corresponding billing data records, wherein the billing data records include tenant account information, subscription service payment column usage information, tenant bills, etc.; 102. Record all bills of the tenant for the paid section of the subscription service in the target application to form a bill log; 103. Obtain the bill log and generate a bill record chart, and upload the bill record chart to the cloud.

3. According to claim 1, a multi-tenant subscription service bill management system based on the Internet of Things is characterized by: The specific contents of bill preprocessing in the bill preprocessing module include the following:

201. Record the target application tenant's cancellation of subscription service payment column with a subscription period of 30 days, 3 months or a more appropriate period; 202. According to the time when the tenant cancels the paid subscription service column, the billing log, the corresponding tenant's account number, and the paid subscription service column for cancellation are matched; 203. Determine whether the paid subscription service column canceled by the tenant of the target application during this period is a new tenant. If it is a new tenant, mark the paid subscription service column canceled by the new tenant, generate an abnormal bill and store it in the cloud service end.

4. According to claim 1, a multi-tenant subscription service bill management system based on the Internet of Things is characterized by: The specific operation steps of the bill supervision module include the following:

601. Obtain the bill comprehensive weight index result, compare the bill comprehensive weight index with the preset bill comprehensive weight index threshold, and determine whether the bill comprehensive weight index is higher than the threshold. If it is higher than the preset bill comprehensive weight index threshold, it means that the tenant's subscription service bill is correct and no further processing is required. The bill comprehensive weight index result can be directly uploaded.

602. Obtain the bill comprehensive weight index result, compare the bill comprehensive weight index with the preset bill comprehensive weight index threshold, and determine whether the bill comprehensive weight index is lower than the threshold. If it is lower than the preset bill comprehensive weight index threshold, determine whether there is an abnormality in the bill cancellation evaluation coefficient and the bill renewal evaluation coefficient; 603. Determine the difference between the bill cancellation evaluation coefficient or the bill renewal evaluation coefficient and the threshold value. If the bill cancellation evaluation coefficient is higher than the threshold value or the bill renewal evaluation coefficient is lower than the threshold value, determine the cause of the bill cancellation evaluation coefficient or the bill renewal evaluation coefficient, and upload the abnormal cause and the bill comprehensive weight index result.

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