Charge calculation method based on access times and flow

Abstract

The invention discloses a tariff calculation method based on access times and traffic. The tariff calculation method comprises the following steps: S1, monitoring and counting user access times and traffic consumption conditions; s2, establishing a user calling habit portrait; s3, designing a tariff scheme and performing tariff calculation; and S4, sending the tariff scheme to the user, and adjusting the tariff scheme according to user requirements. According to the invention, the actual use condition of the user is reflected more fairly and reasonably, and network resources are distributed reasonably; users are encouraged to save resource use, and the overall resource utilization efficiency is improved; more flexible tariff selection is provided for the user, and different requirements are met; and the service provider can improve the service quality and the profitability.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet service fee calculation, and in particular to a fee calculation method based on access times and flow. Background Art

[0002] The traditional method of calculating mobile Internet service charges is mainly based on the tariff packages subscribed by users and the total traffic consumption, which has the following problems: 1. It cannot fully reflect the actual usage and needs of users.

[0003] 2. It is difficult to reasonably allocate network resources, affecting the quality of network services.

[0004] 3. Lack of flexibility and unable to meet the differentiated needs of different user groups.

[0005] Therefore, it is urgent to design a new method of tariff calculation to better meet user needs and promote the rational use of network resources. Summary of the invention

[0006] In order to solve the above problems, the present invention provides a method for calculating charges based on the number of visits and traffic, comprising the following steps: S1. monitoring and counting the number of user visits and traffic consumption; S2. establishing a user calling habit profile; S3. designing a charge plan and performing charge calculation; S4. sending the charge plan to the user and adjusting it according to user needs.

[0007] Furthermore, the step S3 specifically includes the following sub-steps: S31. Classifying users according to their daily visit times; S32. Setting different unit traffic rates according to the users' daily traffic consumption; S33. Calculating the final tariff and generating a tariff plan.

[0008] Furthermore, the level classification in step S31 specifically includes: level 1: number of visits ≤ 100 times; level 2: 100<number of visits ≤ 300 times; level 3: 300<number of visits ≤ 500 times; level 4: 500<number of visits ≤ 800 times; level 5: number of visits>800 times.

[0009] Furthermore, the different unit traffic rates in the step S32 specifically include: traffic consumption ≤ 2GB: 0.5 yuan / GB; 2GB<traffic consumption ≤ 5GB: 1 yuan / GB; 5GB<traffic consumption ≤ 10GB: 2 yuan / GB; traffic consumption> 10GB: 3 yuan / GB.

[0010] Furthermore, the calculation formula of the final tariff in step S33 is: final tariff = visit number level discount coefficient × unit traffic rate × total traffic consumption.

[0011] Furthermore, the visit count level preferential coefficients are specifically: level 1: 1.0; level 2: 0.9; level 3: 0.8; level 4: 0.7; level 5: 0.6.

[0012] Furthermore, it also includes update optimization steps: regularly analyzing user traffic usage and access times, and dynamically adjusting tariff plans.

[0013] The present invention provides a method for calculating charges based on the number of visits and traffic, which has the following beneficial effects: The present invention reflects the actual usage of users more fairly and reasonably, and reasonably allocates network resources; encourages users to save resources and improves the overall resource utilization efficiency; provides users with more flexible tariff options to meet different needs; and helps service providers improve service quality and profitability. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0015] Figure 1 A flow chart of the method provided by the present invention. DETAILED DESCRIPTION

[0016] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0017] The following is a detailed description of the implementation method of the present invention in conjunction with the accompanying drawings. Only some embodiments are described, not all embodiments. For the purpose of clarity, representations and descriptions that are not related to the present invention are omitted in the drawings and descriptions.

[0018] In order to have a clearer understanding of the technical features, purposes and beneficial effects of the present invention, the technical solution of the present invention is now described in detail below. Obviously, the implementation cases described are part of the embodiments of the present invention, not all of the embodiments, and cannot be understood as limiting the scope of the implementation of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the protection scope of the present invention.

[0019] like Figure 1As shown, the present invention provides a method for calculating charges based on the number of visits and traffic, including the following steps: S1. monitoring and counting the number of user visits and traffic consumption; S2. establishing a user calling habit profile; S3. designing a charge plan and performing charge calculation; S4. sending the charge plan to the user and adjusting it according to user needs.

[0020] Among them, step S3 specifically includes the following sub-steps: S31. Classify users according to the number of visits per day; S32. Set different unit traffic rates according to the daily traffic consumption of users; S33. Calculate the final tariff and generate a tariff plan.

[0021] The level classification in step S31 specifically includes: level 1: number of visits ≤ 100 times; level 2: 100<number of visits ≤ 300 times; level 3: 300<number of visits ≤ 500 times; level 4: 500<number of visits ≤ 800 times; level 5: number of visits>800 times.

[0022] The different unit traffic rates in step S32 specifically include: traffic consumption ≤ 2GB: 0.5 yuan / GB; 2GB<traffic consumption ≤ 5GB: 1 yuan / GB; 5GB<traffic consumption ≤ 10GB: 2 yuan / GB; traffic consumption> 10GB: 3 yuan / GB.

[0023] The calculation formula of the final tariff in step S33 is: final tariff = visit number level discount coefficient × unit traffic rate × total traffic consumption.

[0024] The specific visit number level discount coefficients are: Level 1: 1.0; Level 2: 0.9; Level 3: 0.8; Level 4: 0.7; Level 5: 0.6.

[0025] It also includes update optimization steps: regularly analyzing user traffic usage and access times, and dynamically adjusting tariff plans.

[0026] Embodiment: A method for calculating charges based on user access times and traffic consumption, the technical solution comprises the following steps: It is necessary to establish a real-time monitoring and statistics system for user access behavior to accurately record the number of visits of each user.

[0027] It is necessary to monitor and count the traffic consumption of each user in real time. ElasticSearch and Kafka log persistence and statistical aggregation technology can be used to measure network traffic in detail.

[0028] According to the number of visits per day by users, it is divided into 5 levels: Level 1: visits ≤ 100 times; Level 2: 100< visits ≤ 300 times; Level 3: 300< visits ≤ 500 times; Level 4: 500< visits ≤ 800 times; Level 5: visits > 800 times.

[0029] Different unit traffic rates are set according to the user's daily traffic consumption: traffic consumption ≤ 2GB: 0.5 yuan / GB; 2GB<traffic consumption ≤ 5GB: 1 yuan / GB; 5GB<traffic consumption ≤ 10GB: 2 yuan / GB; traffic consumption> 10GB: 3 yuan / GB.

[0030] Final tariff = number of visits, level discount coefficient × unit traffic rate × total traffic consumption Among them, the visit number level preferential coefficient is: Level 1: 1.0; Level 2: 0.9; Level 3: 0.8; Level 4: 0.7; Level 5: 0.6.

[0031] According to the user's access level and traffic consumption, the final tariff is automatically calculated and a calculation engine is established: the engine needs to support flexible billing rule configuration to adapt to possible future tariff plan adjustments. A complete user metering and billing management system needs to be built to provide users with detailed tariff details and billing information.

[0032] The system needs to support multiple payment methods to improve user experience.

[0033] In the specific implementation, the following steps can be taken: 1. Collect user visit times and traffic data to create a user calling habit profile.

[0034] 2. Design differentiated tariff plans based on users’ different calling habits, including basic calling charges, calling traffic charges, etc.

[0035] 3. Promote the tariff plans to users and provide online self-service adjustment functions.

[0036] 4. Regularly analyze user usage and dynamically adjust tariff plans.

[0037] 5. Establish a reward and punishment mechanism to encourage users to save resources.

[0038] 6. Continuously optimize algorithms to improve the accuracy of tariff plans and metering and billing.

[0039] The present invention reflects the actual usage of users more fairly and reasonably, and reasonably allocates network resources; encourages users to save resources and improves the overall resource utilization efficiency; provides users with more flexible tariff options to meet different needs; and helps service providers improve service quality and profitability.

[0040] The above is only a preferred embodiment of the present invention. It should be understood that the present invention is not limited to the form disclosed herein, and should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications and environments, and can be modified within the scope of the concept described herein through the above teachings or the technology or knowledge of the relevant field. The changes and modifications made by those skilled in the art shall not deviate from the spirit and scope of the present invention, and shall be within the scope of protection of the claims attached to the present invention.

Claims

1. A method for calculating charges based on the number of visits and traffic, characterized in that: The following steps are involved: S1. Monitor and count user visits and traffic consumption; S2. Establish user calling habit profile; S3. Design tariff plans and perform tariff calculations; S4. Send the tariff plan to the user and adjust it according to the user's needs.

2. The method for calculating charges based on the number of visits and traffic according to claim 1, characterized in that: The S3 step specifically includes the following sub-steps: S31. Classify users according to their number of visits per day; S32. Set different unit traffic rates according to the user's daily traffic consumption; S33. Calculate the final tariff and generate a tariff plan.

3. The method for calculating charges based on the number of visits and traffic according to claim 2, characterized in that: The level classification in step S31 specifically includes: Level 1: Number of visits ≤ 100; Level 2: 100<number of visits ≤ 300 times; Level 3: 300<Visits ≤ 500 times; Level 4: 500<Visits ≤ 800 times; Level 5: Number of visits > 800.

4. The method for calculating charges based on the number of visits and traffic according to claim 2, characterized in that: The different unit traffic rates in step S32 specifically include: Traffic consumption ≤ 2GB: 0.5 yuan / GB; 2GB<Data usage≤5GB: 1 yuan / GB; 5GB<Data usage≤10GB: 2 yuan / GB; Traffic consumption > 10GB: 3 yuan / GB.

5. The method for calculating charges based on the number of visits and traffic according to claim 2, characterized in that: The calculation formula of the final tariff in step S33 is: final tariff = visit number level discount coefficient × unit traffic rate × total traffic consumption.

6. The method for calculating charges based on the number of visits and traffic according to claim 5, characterized in that: The visit number level preferential coefficient is specifically: Level 1: 1.0; Level 2: 0.9; Level 3: 0.8; Level 4: 0.7; Level 5: 0.

6.

7. The method for calculating charges based on the number of visits and traffic according to claim 1, characterized in that: It also includes update optimization steps: regularly analyzing user traffic usage and access times, and dynamically adjusting tariff plans.

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