A method and device for charging network optimization work

Abstract

The present invention discloses a method for charging network optimization work, the method comprising: obtaining the value coefficient of a mid-end optimization project, the value coefficient comprising a scenario value coefficient, a problem value coefficient, and a network impact value coefficient; determining the effective working hours of each mid-end optimization project based on the evaluation working hours of the mid-end optimization project, combined with the timeliness and processing effect of the mid-end optimization project; obtaining the billing amount of the corresponding mid-end optimization project based on the value coefficient, the evaluation working hours, the effective working hours, and the unit price of each mid-end optimization project. The present invention also discloses a device for charging network optimization work. The present invention can realize differentiated billing of network optimization work.

Description

Technical Field

[0001] The present invention relates to the communication industry, and more specifically, to a technology for charging network optimization work. Background Art

[0002] The current pay-per-use method for network optimization tasks is to establish a phased assessment payment and annual assessment payment management system for mid-range services according to the contract agreement to achieve payment management, as follows:

[0003] For stage payment, the fee is determined based on the settlement cycle, stage service fee, and stage assessment score. Stage service fee settlement method: After completing a settlement cycle and settlement assessment, the buyer pays the seller in the following manner and proportion:

[0004] 1) When the stage assessment score is greater than or equal to 90 points, the full amount of the service fee for that stage shall be paid;

[0005] 2) If the assessment score for the quarter is less than 60 points, all service fees for that period will be deducted;

[0006] 3) When 90 points > quarterly assessment score > = 60 points, the period payment = period service fee * (period assessment score - 60) * 100 / (90-60)

[0007] For the annual acceptance payment, the fee is determined based on the annual / service cycle combined with the annual assessment score. The annual assessment score is obtained based on the service assessment method. The total annual acceptance service fee is capped at 20% of the cumulative amount of all the actual workload incurred during this acceptance cycle (if the workload amount reaches the annual capped price, 20% of the capped price will be used as the cap).

[0008] 1) When the annual acceptance assessment score is greater than or equal to 90 points, the full amount of the annual acceptance service fee shall be paid;

[0009] 2) If the annual acceptance assessment score is less than 60 points, the annual acceptance service fee will be deducted in full;

[0010] When 90 points > annual acceptance assessment score >= 60 points, annual acceptance fee = annual acceptance service fee * (annual assessment score - 60) * 100 / (90-60)

[0011] Due to this billing method based on overall assessment, simple work orders are given priority among the work orders sent at the same time, while complex work orders are always ignored because the price of each work order and each network optimization project is the same; there is no driving force for work orders in different scenarios and environments. If everyone handles work orders randomly, then urgent and important work orders cannot be guaranteed to be given priority, which will lead to serious problems such as repeated complaints. Therefore, using a more optimized workload accounting solution to carry out price differentiation reform of network optimization work is an urgent problem to be solved. Summary of the invention

[0012] The present invention provides the following technical solution: a method for charging network optimization work, comprising:

[0013] Obtaining the value coefficient of the mid-range optimization project, wherein the value coefficient includes a scenario value coefficient, a problem value coefficient, and a network impact value coefficient;

[0014] Determine the effective working hours of each mid-end optimization project based on the estimated working hours of the mid-end optimization project and the timeliness and effect of the processing of the mid-end optimization project;

[0015] The billing amount of the corresponding mid-range optimization project is obtained according to the value coefficient, the evaluation working hours, the effective working hours and the unit price of each mid-range optimization project.

[0016] Preferably, the value coefficient of the mid-range optimization project is obtained as follows:

[0017] According to the operator's scenario division rules, configure scenario value coefficients for each level of scenarios;

[0018] The mid-range optimization projects are scored in pairs according to their impact on network health, and the problem value coefficient is obtained according to the score of each mid-range optimization project and the total score of all mid-range optimization projects;

[0019] The deviation calculation is performed based on the average index of the cells in the current network, and the network impact value coefficient is obtained in combination with the degradation of the corresponding cells.

[0020] In detail, the method for determining the effective working hours of each mid-end optimization project based on the evaluation working hours of the mid-end optimization project and the processing timeliness and processing effect of the mid-end optimization project is as follows:

[0021] Obtain the estimated working hours for the mid-range optimization project according to the weighted average of the estimated normal completion time, the estimated longest completion time, and the estimated shortest completion time of the mid-range optimization project;

[0022] Determine the timeliness of the mid-end optimization project according to the evaluation working hours and the actual processing timeout of the mid-end optimization project;

[0023] Determine the processing effect of the mid-end optimization project according to the current network indicator value after the mid-end optimization project is processed;

[0024] The effective working hours of the mid-end optimization project are determined based on the actual processing hours of the mid-end optimization project combined with its timeliness and processing effect.

[0025] In detail, the method for obtaining the billing amount of the corresponding mid-range optimization project according to the value coefficient, the evaluation working hours, the effective working hours and the unit price of each mid-range optimization project is as follows:

[0026] Calculate the effectiveness ratio of the effective working hours of the mid-range optimization project and the evaluation working hours of the corresponding mid-range optimization project;

[0027] The billing amount of the mid-range optimization project is obtained according to the product of the value coefficient of the mid-range optimization project, the effectiveness ratio and the unit price of the mid-range optimization project.

[0028] Preferably: if the validity ratio is greater than 1, the calculation is performed according to 1; if the validity ratio is less than 1, the calculation is performed according to the actual value.

[0029] Preferred:

[0030] use Calculate the problem value coefficient, VP is the problem value coefficient, Ci is the score of each mid-range optimization project;

[0031] use Calculate the network impact value coefficient of the positive indicator of the mid-range optimization project, using Calculate the network impact value coefficient of the reverse indicator of the mid-range optimization project, where Ve is the network impact value coefficient, Nx is the number of cell degradations, N is the number of network degradations, Ix is the cell indicator situation, I is the average level of the network indicator, and Im is the artificial correction coefficient;

[0032] use Calculate the estimated working hours of the mid-range optimization project, where Te is the estimated working hours, Tm is the normal completion time of the assessment, To is the shortest completion time of the assessment, and Tp is the longest completion time of the assessment;

[0033] The timeliness coefficient and effect coefficient are used to reflect the timeliness and processing effect of the mid-end optimization project. The timeliness coefficient = 1-(order acceptance timeout + processing timeout time) / project Te, and the effect coefficient = 1+|project actual effect-project target effect| / project target effect.

[0034] The present invention also discloses a network optimization work billing device, the device comprising:

[0035] A value coefficient acquisition unit, used to acquire the value coefficient of the mid-end optimization project, wherein the value coefficient includes a scenario value coefficient, a problem value coefficient, and a network impact value coefficient;

[0036] An effective working time determination unit, used to determine the effective working time of each mid-end optimization project according to the estimated working time of the mid-end optimization project and in combination with the timeliness and effect of processing the mid-end optimization project;

[0037] The billing unit is used to obtain the billing amount of the corresponding mid-range optimization project based on the value coefficient obtained by the value coefficient acquisition unit, the assessed working hours obtained by the effective working hours acquisition unit, and the effective working hours combined with the unit price of each mid-range optimization project.

[0038] Specifically, the value coefficient acquisition unit further comprises:

[0039] The scenario value coefficient acquisition module is used to configure scenario value coefficients for scenarios at all levels according to the operator's scenario classification rules;

[0040] A problem value coefficient acquisition module is used to compare and score the mid-end optimization projects in pairs according to their impact on network health, and obtain the problem value coefficient according to the score of each mid-end optimization project and the total score of all mid-end optimization projects;

[0041] The network impact value coefficient acquisition module is used to perform deviation calculation based on the average index of the current network cells as a benchmark, and obtain the network impact value coefficient in combination with the degradation of the corresponding cell.

[0042] Specifically, the effective working hours determination unit further comprises:

[0043] An evaluation man-hour determination module, used to obtain the evaluation man-hour of the mid-end optimization project according to a weighted average of the normal evaluation completion time, the longest evaluation completion time, and the shortest evaluation completion time of the mid-end optimization project;

[0044] A project timeliness determination module, used to determine the timeliness of the mid-end optimization project according to the evaluation time determined by the evaluation time determination module and the actual processing timeout of the mid-end optimization project;

[0045] A project effect determination module, used to determine the processing effect of the mid-end optimization project according to the current network indicator value after the mid-end optimization project is processed;

[0046] The effective working time determination module is used to determine the effective working time of the mid-end optimization project based on the actual processing working time of the mid-end optimization project combined with the timeliness determined by the project timeliness determination module and the processing effect determined by the project effect determination module.

[0047] In detail, the billing unit further comprises:

[0048] An effectiveness ratio calculation module, used to calculate the effectiveness ratio of the effective working hours of the mid-end optimization project determined by the effective working hours determination module and the evaluation working hours of the corresponding mid-end optimization project determined by the evaluation working hours determination module;

[0049] The cost calculation module is used to obtain the billing amount of the mid-range optimization project based on the product of the scenario value coefficient, problem value coefficient, network impact value coefficient of the mid-range optimization project obtained by the value coefficient acquisition unit, the effectiveness ratio calculated by the effectiveness ratio calculation module and the unit price of the mid-range optimization project.

[0050] Preferred:

[0051] If the effectiveness ratio is greater than 1, it is calculated as 1;

[0052] If the validity ratio is less than 1, the calculation is performed according to the actual value.

[0053] Preferred:

[0054] The problem value coefficient acquisition module uses Calculate the problem value coefficient, VP is the problem value coefficient, Ci is the score of each mid-range optimization project;

[0055] The network influence value coefficient acquisition module uses Calculate the network impact value coefficient of the positive indicator of the mid-range optimization project, using Calculate the network impact value coefficient of the reverse indicator of the mid-range optimization project, where Ve is the network impact value coefficient, Nx is the number of cell degradations, N is the number of network degradations, Ix is the cell indicator situation, I is the average level of the network indicator, and Im is the artificial correction coefficient;

[0056] The evaluation time determination module uses Calculate the estimated working hours of the mid-range optimization project, where Te is the estimated working hours, Tm is the normal completion time of the assessment, To is the shortest completion time of the assessment, and Tp is the longest completion time of the assessment;

[0057] The timeliness coefficient and effect coefficient are used to reflect the timeliness and processing effect of the mid-end optimization project. The timeliness coefficient = 1-(order receiving timeout + processing timeout) / project Te, and the processing effect = 1+|project actual effect-project target effect| / project target effect.

[0058] Through the above technical solutions, it can be known that a network optimization work billing method and device disclosed in the embodiment of the present invention reflects the importance of different mid-end optimization projects and their impact on the network according to the setting of different value coefficients, further obtains the evaluation hours and effective hours of each mid-end optimization project, and provides a quantifiable evaluation standard for completing each optimization work. Such a refined workload assessment can relatively increase the costs of complex work orders, key work orders, and emergency work orders, thereby increasing the enthusiasm of network optimization staff to handle related key tasks, while obtaining rewards corresponding to the value; it avoids the normalized, indiscriminate and extensive cost calculation method, improves work efficiency, saves work costs, optimizes the billing method, and thus improves customer satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] 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 these drawings without paying creative work.

[0060] Figure 1 A flowchart of a network optimization work billing method provided in Example 1 of the present application;

[0061] Figure 2 A flow chart for determining the value coefficient provided in Example 2 of the present application;

[0062] Figure 3 A flowchart for determining the evaluation working hours and effective working hours provided in Example 3 of the present application;

[0063] Figure 4 This is a billing flow chart provided for Embodiment 4 of the present application;

[0064] Figure 5 A schematic diagram of the structure of a network optimization work billing device provided in Example 5 of the present application;

[0065] Figure 6 This is a schematic diagram of the device structure provided in Example 6 of the present application. DETAILED DESCRIPTION

[0066] 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.

[0067] See also Figure 1 , a method for charging network optimization work is given as an embodiment 1 of the present invention.

[0068] The source of work orders for mid-range optimization projects is mainly non-core work such as the implementation and effect evaluation of the centralized support platform degradation problem points such as the company's network management performance, centralized complaints, network signaling, network structure, centralized testing, etc., as well as the local market service support and optimization task supervision problem points of the municipal company. The essence of its work content is that after its own personnel conduct a preliminary cause analysis of the problem points, the mid-range optimization manufacturer will conduct root cause mining and complete the implementation of the plan and effect evaluation based on the actual network situation and on-site wireless environment. Its workload evaluation is statistically evaluated based on the actual problem points handled. See Table 1 for examples of mid-range optimization projects.

[0069] Table 1 List of mid-range optimization projects

[0070]

[0071]

[0072] Therefore, it can be seen that the work orders of mid-end optimization projects can be roughly divided into: network management performance analysis and optimization, centralized complaint handling, end-to-end signaling analysis, centralized test analysis, network structure analysis, and the unit price is set according to the different types of mid-end optimization projects of different manufacturers. It should be noted that the list of mid-end optimization projects can be added or deleted according to the specific optimization projects, and the categories can also be expanded according to the actual work situation. As long as the mid-end optimization projects are related to network optimization work, they can be included in the billing items.

[0073] Step S01: Obtain the value coefficient of the mid-range optimization project, where the value coefficient includes a scenario value coefficient, a problem value coefficient, and a network impact value coefficient.

[0074] The scenario value coefficient is set according to user activity and different scenarios. Operators divide different scenarios into different levels through analysis and summary of a large amount of user data. Different levels of scenarios have different scenario value coefficients. For example, the first-level scenario can usually be high-speed rail, subway, residential area, hospital, highway, university, food, beautiful scenery, high-rise, elevated, airport, etc. The second-level scenario can usually be urban roads, bus stations, railway stations, ordinary railways, urban villages, industrial parks, etc. The third-level scenario can usually be towns and rural areas.

[0075] It should be noted that the levels of the scenes can be flexibly named according to actual conditions, and the division of each scene level can also be flexibly divided according to actual conditions, without being limited to the contents listed above.

[0076] The problem value coefficient reflects the degree of impact of this type of problem on network health, and is obtained by comparing the degree of impact of various types of mid-range optimization projects on network health across the entire network.

[0077] The network impact value coefficient reflects the impact of the degradation of cell performance on the overall network indicators.

[0078] Step S02: Determine the effective working hours of each mid-end optimization project based on the estimated working hours of the mid-end optimization project and the processing timeliness and processing effect of the mid-end optimization project.

[0079] The purpose of evaluating working hours is to effectively control the process and evaluate the completion time of each type of optimization project. On the one hand, it can help grasp the time required to handle such problems and avoid passive work by the handling personnel. On the other hand, it can help follow up on the project processing progress and improve management efficiency.

[0080] The effective working hours are evaluated through the timeliness and completion effect of the mid-end optimization project, which is conducive to monitoring the order acceptance time, problem handling timeout time and the actual effect of problem handling.

[0081] Step S03: Obtain the billing amount of the corresponding mid-range optimization project according to the value coefficient, the evaluation working hours, the effective working hours and the unit price of each mid-range optimization project.

[0082] According to the unit price of different mid-range optimization projects of different manufacturers, combined with the value coefficient, evaluation working hours and effective working hours of each mid-range optimization project, the final billing amount of the mid-range optimization project is obtained.

[0083] It can be seen that different value coefficients can reflect the importance of the scenario, the difficulty of the problem, and the degree of network impact of each optimization project, that is, each network optimization project is evaluated from three aspects; the processing time of each network optimization project is measured by the given evaluation hours and effective hours, and the situation of procrastination and increased billing is eliminated; at the same time, a unit price is set for each mid-end optimization project, and the mid-end network optimization project with high difficulty and wide impact can be priced higher to improve the priority of processing. Therefore, the use of the present invention can achieve the controllability of network optimization project processing, improve the processing efficiency of complex work orders, key work orders, and emergency work orders, and scientifically bill to improve customer satisfaction.

[0084] In order to better illustrate the method for determining the value coefficient of the present invention, Example 2 is given. Figure 2 As shown, the method for determining the value coefficient of the present invention is described in detail.

[0085] Step S201: According to the operator's scene division rules, configure scene value coefficients for each level of scenes.

[0086] The scenario value coefficient divides all users into multiple levels according to user activity and the number of VIP users. Among them, high-speed rail, subway, residential area, hospital, highway, university, food, beautiful scenery, high-rise, elevated road, airport and other scenes with high user activity and many VIP users are level 1 scenes, and the default value coefficient of this type of scene is 1.2. Scenes with relatively active users and many mid-end users such as urban roads, bus stations, railway stations, ordinary railways, urban villages, industrial parks, etc. are level 2 scenes, and the default scenario value coefficient is 1. Scenes with low user activity and many low-end users such as towns and rural areas are divided into level 3 scenes, and the default scenario value coefficient is 0.8.

[0087] VIP users can be four-star and five-star users, silver card users, gold card users, and some specially marked key customers of the operator. Preferably, the value of the scenario value coefficient here can be an approximate value verified by real data based on the number of work orders in a month and the monthly optimization fee. Other methods can also be used to define and obtain the scenario value coefficient, as long as the scenario value coefficient can reflect the difference in user activity in different scenarios. Examples of scenario value coefficients are shown in Table 2.

[0088] Table 2 Scenario value coefficients

[0089]

[0090] Step S202: The mid-end optimization projects are scored in pairs according to their impact on network health, and the problem value coefficient is obtained according to the score of each mid-end optimization project and the total score of all mid-end optimization projects.

[0091] The evaluation of the problem value coefficient adopts the forced scoring method (FD scoring method), that is, the value of two problems is compared and scored. The scoring takes into account the current impact of such problems on the health of the network. This evaluation and scoring is a dynamic process. The (-1,1) scoring principle is adopted. If the importance of type A problem is greater than that of type B problem, then A is scored 1 relative to B problem, B is scored -1 relative to A problem, and A is not scored for A problem. By scoring each type of problem in pairs, the final score of this type of problem is obtained, and the value index is calculated by comparing the ratio of the problem type scores. The calculation formula is as follows:

[0092] Problem value coefficient Note: Ci is the score for each question.

[0093] The scoring process can be obtained through centralized evaluation by multiple senior optimization experts, or by combining historical data of network optimization processing and scoring two by two according to set rules.

[0094] The calculation of the value coefficients of various types of issues is shown in Table 3:

[0095] Table 3: Value coefficients of various issues

[0096]

[0097] Step S203: Calculate the deviation based on the average index of all cells in the current network, and obtain the network impact value coefficient in combination with the degradation of the corresponding cell.

[0098] It is necessary to consider the impact of the degradation of cell performance on the indicators of the entire network. The network impact value index is based on the current average indicator level of the entire network (daily real-time update) for deviation calculation (problem cells within the effective rules), and the "contribution" of cell degradation to the large network is added. Preferably, of course, in the actual operation process, it is recommended that there be a (0-0.5] coefficient for manual correction. The staff can judge the value and urgency of the problem according to the actual situation at the time and superimpose the coefficient.

[0099] Impact index on network problems (positive indicator, the larger the better, such as connection rate)

[0100]

[0101] Impact index on network problems (reverse indicator, the smaller the better, such as disconnection rate)

[0102]

[0103] Note: Nx is the number of cell degradation times, N is the number of network degradation times, Ix is the cell index situation, I is the average level of the network index, and Im is the artificial correction coefficient.

[0104] Each mid-range optimization project work order will have a problem cell and a degradation indicator that needs to be processed, which is Ix in the formula. The cell indicators include call drop rate, wireless connection rate, wireless packet loss rate, wireless coverage rate, resource utilization rate, etc. The average level of the whole network indicator is the average value of Ix for all cells in the whole network.

[0105] The positive index is generally obtained by dividing the number of successes by the total number of times, and the general value range is close to more than 70%. The negative index is generally obtained by dividing the number of failures by the total number of times, and the general value range is close to less than 20%.

[0106] Positive indicators include: wireless connection rate, switching success rate, wireless coverage, etc.

[0107] Reverse indicators include: call drop rate, packet loss rate, weak coverage ratio, complaint ratio per 10,000 people, etc.

[0108] According to the value coefficient given in this embodiment, a comprehensive evaluation can be given to each mid-range network optimization project in a clear and detailed manner, laying the foundation for subsequent differentiated billing.

[0109] In order to explain in detail how the present invention determines the estimated working hours and effective working hours of the mid-end optimization project, the third embodiment of the present invention is given. Figure 3 shown.

[0110] Step S301: Obtain the estimated working hours for the mid-end optimization project according to the weighted average of the estimated normal completion time, the estimated longest completion time, and the estimated shortest completion time of the mid-end optimization project.

[0111] The three-point estimation method is used to preliminarily calculate the relatively standard expected completion time for each type of work order. On the one hand, it can help us understand the time required to solve such problems and avoid passive resistance from the three parties; on the other hand, it can facilitate the follow-up of the work order processing progress and improve management and control efficiency.

[0112] An expert group consisting of in-house experts and experts from mid-range optimization manufacturers was introduced to evaluate the working hours consumed by various problem points. Because the optimization personnel who evaluate this time consumption are experts with about 10 years of work experience, the experience value can tend to be a more accurate standard value of time consumption.

[0113] The total time spent in each stage is taken as the time taken to normally complete the mid-end optimization project (normal completion time Tm). At the same time, considering the uncertainty and risk of each stage, such as data loss, system failure, low-end cooperation and other factors, the best time taken to carry out each stage of the project (shortest completion time To) and the worst time taken to carry out each stage of the project (longest completion time Tp) are obtained. The weighted average of the above "three-point estimates" is used to obtain the expected work order time Te.

[0114] (Three-point estimate)

[0115] Note: The three-point estimation concept originated from the Program Evaluation and Review Technique (PERT). By considering the uncertainty and risk in the estimate, the accuracy of the activity duration estimate can be improved. The possible duration calculated using the above formula is more accurate.

[0116] Preferably, each time estimate of each stage of the three-point estimation can be composed of 10 sample points, with 5 sample points output by the in-house personnel and the mid-end manufacturer respectively, and the Te of each stage is calculated by the three-point estimation formula, and the sum of Te of each stage is the project completion Te. See Table 4.

[0117] Table 4 Three-point estimation scheme for the time consumed in work order processing

[0118]

[0119]

[0120] An example of three-point estimation of processing time is shown in Table 5:

[0121] According to the three-point estimation evaluation principle, the evaluation results of various types of problems are as follows: the recommended analysis time for coverage problems is 195 minutes, the recommended analysis time for interference problems is 180 minutes, the recommended analysis time for resource problems is 220 minutes, the recommended analysis time for fault problems is 80 minutes, and the recommended analysis time for parameter problems is 153 minutes. The detailed evaluation results are as follows:

[0122] Table 5 Example of estimated working hours

[0123]

[0124]

[0125] Step S302: Determine the timeliness of the mid-end optimization project according to the evaluation working hours and the actual processing timeout time of the mid-end optimization project.

[0126] In order to better measure the processing of each mid-end network optimization project, consider whether the problem is handled in a timely manner, that is, how long it takes to start working after receiving the mid-end network optimization processing project, and introduce timeliness.

[0127] Preferably, the timeliness of the mid-end optimization project can be reflected by a timeliness coefficient.

[0128] The timeliness coefficient i=1-(order receiving timeout+processing timeout) / item Te

[0129] The order acceptance timeout and problem handling time can be directly obtained from the work order of the mid-range network optimization project. Problem handling timeout = time handling time - project Te.

[0130] Using timeliness assessment can limit the increase in working hours due to inefficiency and delay.

[0131] Step S303: determining the processing effect of the mid-end optimization project according to the indicator value of the existing network after being processed by the mid-end optimization project.

[0132] In order to better measure the processing effect of each mid-range network optimization project, the processing effect of the mid-range optimization project is introduced, and the processing effect is reflected according to the effect coefficient.

[0133] The effect coefficient j=1+|actual effect of the project-project target effect| / project target effect

[0134] The project target effect is issued when the work order of the mid-range network optimization project is distributed and can be directly obtained in the process. The actual effect of the project is the current network indicator value obtained through the background OMC after the work order is processed. If the actual value of the positive indicator is lower than the target value, the target is not achieved; if the actual value of the reverse indicator is higher than the target value, the target is not achieved.

[0135] Evaluate the treatment effect. The actual effect of the project did not reach the target value, j=0.

[0136] The use of treatment effects can motivate project completion more effectively.

[0137] Step S304: Determine the effective working hours of the mid-end optimization project according to the actual processing working hours of the mid-end optimization project combined with its timeliness and processing effect.

[0138] The effective working hours of a work order are calculated as follows:

[0139] Ti=Ts*i*j

[0140] Note: Ti is the effective working hours for work order processing, and Ts is the actual working hours for work order processing.

[0141] In order to describe the charging process of the present invention in a more systematic and detailed manner, the following provides a fourth embodiment in combination with an example. Figure 4 shown.

[0142] Step S401: Calculate the effectiveness ratio of the effective working hours of the mid-range optimization project and the evaluation working hours of the corresponding mid-range optimization project.

[0143] If the effectiveness ratio is greater than 1, it is calculated as 1;

[0144] If the validity ratio is less than 1, the calculation is performed according to the actual value.

[0145] Step S402: Obtain the billing amount of the mid-range optimization project according to the product of the value coefficient of the mid-range optimization project, the effectiveness ratio and the unit price of the mid-range optimization project.

[0146] Project payment should not only consider the value index of mid-range network optimization projects, but also whether the projects are completed effectively and in a timely manner. The specific formula is as follows:

[0147] Work order payment amount

[0148] Note: Rm is the standard unit price of all mid-range work orders (yuan / work order), Vs is the scenario value coefficient, Vp is the problem value coefficient, and Ve is the network impact value coefficient. According to 1, if Calculate according to actual value

[0149] The formula is refined as follows:

[0150]

[0151] or:

[0152]

[0153] The present invention realizes a comprehensive evaluation of mid-range network optimization projects combined with the timeliness of project completion, processing effects, etc., and bills each mid-range network optimization project, which is more flexible and accurate, and realizes flexible and monitorable billing. By increasing the value coefficient of work orders for key scenarios, the cost of work orders for key scenarios is increased; by increasing the value coefficient of work orders for major problems, the cost of work orders for major problems is increased; by increasing the value coefficient of work orders that have a significant impact on network quality, the cost of work orders that have a significant impact on network quality is increased, which can directly affect the timeliness of processing work orders that have a significant impact on network quality.

[0154] The present invention also discloses a network optimization work billing device. First, a fifth embodiment of the present invention is given. Figure 5 As shown, it is used to illustrate the structural features of the device.

[0155] The device includes:

[0156] The value coefficient acquisition unit 1 is used to acquire the value coefficient of the mid-range optimization project, and the value coefficient includes a scenario value coefficient, a problem value coefficient, and a network impact value coefficient.

[0157] The effective working time determination unit 2 is used to determine the effective working time of each mid-end optimization project based on the evaluated working time of the mid-end optimization project and the timeliness and effect of the processing of the mid-end optimization project.

[0158] The billing unit 3 is used to obtain the billing amount of the corresponding mid-range optimization project based on the value coefficient obtained by the value coefficient acquisition unit, the assessed working hours obtained by the effective working hours acquisition unit, the effective working hours and the unit price of each mid-range optimization project.

[0159] In order to better illustrate the structure and working mode of each unit, the sixth embodiment of the present invention is given. Figure 6 shown.

[0160] The value coefficient acquisition unit 1 further comprises:

[0161] The scenario value coefficient acquisition module 11 is used to configure scenario value coefficients for scenarios at all levels according to the operator's scenario division rules.

[0162] The problem value coefficient acquisition module 12 is used to compare and score the mid-end optimization projects in pairs according to their impact on network health, and obtain the problem value coefficient according to the score of each mid-end optimization project and the total score of all mid-end optimization projects.

[0163] The network impact value coefficient acquisition module 13 is used to perform deviation calculation based on the average index of the current network cells as a benchmark, and obtain the network impact value coefficient in combination with the degradation of the corresponding cell.

[0164] The effective working time determination unit 2 further comprises:

[0165] The evaluation time determination module 21 is used to obtain the evaluation time of the mid-end optimization project according to the weighted average of the normal evaluation time, the longest evaluation time, and the shortest evaluation time.

[0166] The project timeliness determination module 22 is used to determine the timeliness of the mid-end optimization project based on the evaluation time determined by the evaluation time determination module and the actual processing timeout of the mid-end optimization project.

[0167] The project effect determination module 23 is used to determine the processing effect of the mid-end optimization project according to the current network indicator value after the mid-end optimization project is processed.

[0168] The effective working time determination module 24 is used to determine the effective working time of the mid-end optimization project according to the actual processing working time of the mid-end optimization project combined with the timeliness determined by the project timeliness determination module and the processing effect determined by the project effect determination module.

[0169] The charging unit 3 further comprises:

[0170] The effectiveness ratio calculation module 31 is used to calculate the effectiveness ratio of the effective working hours of the mid-end optimization project determined by the effective working hours determination module and the evaluation working hours of the corresponding mid-end optimization project determined by the evaluation working hours determination module.

[0171] The cost calculation module 32 is used to obtain the billing amount of the mid-range optimization project based on the product of the scenario value coefficient, problem value coefficient, network impact value coefficient of the mid-range optimization project obtained by the value coefficient acquisition unit, the effectiveness ratio calculated by the effectiveness ratio calculation module and the unit price of the mid-range optimization project.

[0172] If the effectiveness ratio is greater than 1, it is calculated as 1.

[0173] If the validity ratio is less than 1, the calculation is performed according to the actual value.

[0174] The problem value coefficient acquisition module in the above device uses Calculate the problem value coefficient, VP is the problem value coefficient, and Ci is the score of each mid-range optimization project.

[0175] The network influence value coefficient acquisition module uses Calculate the network impact value coefficient of the positive indicator of the mid-range optimization project, using Calculate the network impact value coefficient of the reverse indicator of the mid-range optimization project, Ve is the network impact value coefficient, Nx is the number of cell degradations, N is the number of network degradations, Ix is the cell indicator situation, I is the average level of the network indicator, and Im is the artificial correction coefficient.

[0176] The evaluation time determination module uses Calculate the estimated working hours for the mid-range optimization project, where Te is the estimated working hours, Tm is the normal estimated completion time, To is the shortest estimated completion time, and Tp is the longest estimated completion time.

[0177] The timeliness coefficient and effect coefficient are used to reflect the timeliness and processing effect of the mid-end optimization project. The timeliness coefficient = 1-(order receiving timeout + processing timeout) / project Te, and the processing effect = 1+|project actual effect-project target effect| / project target effect.

[0178] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the corresponding processes in the above-described device embodiments can refer to the specific working processes of the aforementioned methods, which will not be repeated here.

[0179] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0180] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0181] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims and the above drawings are used to distinguish similar parts, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated herein.

[0182] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for charging network optimization work, characterized in that: The method comprises: The value coefficient of the mid-end optimization project is obtained, and the value coefficient includes a scenario value coefficient, a problem value coefficient, and a network impact value coefficient. The value coefficient of the mid-end optimization project is specifically: According to the operator's scenario division rules, configure scenario value coefficients for each level of scenarios; The mid-range optimization projects are scored in pairs according to their impact on network health, and the problem value coefficient is obtained according to the score of each mid-range optimization project and the total score of all mid-range optimization projects; The deviation calculation is performed based on the average index of the current network cells, and the network impact value coefficient is obtained by combining the degradation of the corresponding cells. Among them, it is necessary to consider the impact of the degradation of cell performance on the indicators of the entire network. The network impact value index is calculated based on the current average index level of the entire network, and the "contribution" of cell degradation to the large network is added; According to the actual working hours of the work order processing of the mid-end optimization project, combined with the timeliness and processing effect of the mid-end optimization project processing, the effective working hours of each mid-end optimization project are determined, and the effective working hours of the work order are calculated as follows: Tk = Ts*k*j, where Tk is the effective working hours of the work order processing, Ts is the actual working hours of the work order processing, k is the timeliness coefficient, and j is the effect coefficient; According to the value coefficient, the evaluation working hours, the effective working hours for processing the work order and the unit price of each mid-range optimization project, the billing amount of the corresponding mid-range optimization project is obtained. Among them, use Calculate the value coefficient of the problem, where VP is the value coefficient of the problem and Ci is the score of each problem; use Calculate the network impact value coefficient of the positive indicator of the mid-range optimization project, using Calculate the network impact value coefficient of the reverse indicator of the mid-range optimization project, where Ve is the network impact value coefficient, Nx is the number of cell degradations, N is the number of network degradations, Ix is the cell indicator situation, I is the average level of the network indicator, and Im is the artificial correction coefficient; use Calculate the estimated working hours of the mid-range optimization project, where Te is the estimated working hours, Tm is the normal completion time of the assessment, To is the shortest completion time of the assessment, and Tp is the longest completion time of the assessment; The timeliness coefficient and effect coefficient are used to reflect the timeliness and processing effect of the mid-end optimization project. The timeliness coefficient k=1-(order acceptance timeout+processing timeout) / project Te, and the effect coefficient j=1+|project actual effect-project target effect| / project target effect.

2. The method according to claim 1, characterized in that The method for obtaining the billing amount of the corresponding mid-end optimization project according to the value coefficient, the evaluation working hours, the effective working hours for work order processing and the unit price of each mid-end optimization project is specifically as follows: Calculate the effectiveness ratio of the effective working hours for work order processing of the mid-range optimization project and the evaluation working hours of the corresponding mid-range optimization project; The billing amount of the mid-range optimization project is obtained according to the product of the value coefficient of the mid-range optimization project, the effectiveness ratio and the unit price of the mid-range optimization project.

3. The method according to claim 2, characterized in that: If the effectiveness ratio is greater than 1, it is calculated as 1; If the validity ratio is less than 1, the calculation is performed according to the actual value.

4. A device for charging network optimization work, characterized in that: The device comprises: A value coefficient acquisition unit is used to acquire the value coefficient of the mid-range optimization project, wherein the value coefficient includes a scenario value coefficient, a problem value coefficient, and a network impact value coefficient. The value coefficient acquisition unit further includes: The scenario value coefficient acquisition module is used to configure scenario value coefficients for scenarios at all levels according to the operator's scenario classification rules; A problem value coefficient acquisition module is used to compare and score the mid-end optimization projects in pairs according to their impact on network health, and obtain the problem value coefficient according to the score of each mid-end optimization project and the total score of all mid-end optimization projects; The network impact value coefficient acquisition module is used to calculate the deviation based on the average index of the current network cell, and obtain the network impact value coefficient in combination with the degradation of the corresponding cell. Among them, it is necessary to consider the impact of the degradation of the cell performance on the indicators of the whole network. The network impact value index is calculated based on the current average index level of the whole network, and the "contribution" of the cell degradation to the large network is added; The effective working time determination unit is used to determine the effective working time for processing the work orders of each mid-end optimization project according to the actual working time for processing the work orders of the mid-end optimization project, combined with the timeliness and processing effect of the mid-end optimization project. The effective working time for the work order is calculated as follows: Tk = Ts*k*j, where Tk is the effective working time for processing the work order, Ts is the actual working time for processing the work order, k is the timeliness coefficient, and j is the effect coefficient; The billing unit is used to obtain the billing amount of the corresponding mid-end optimization project according to the value coefficient obtained by the value coefficient obtaining unit, the evaluation working hours obtained by the effective working hours determining unit, the effective working hours for processing the work order and the unit price of each mid-end optimization project, Among them, the problem value coefficient acquisition module uses Calculate the problem value coefficient, VP is the problem value coefficient, Ci is the score of each mid-range optimization project; The network influence value coefficient acquisition module uses Calculate the network impact value coefficient of the positive indicator of the mid-range optimization project, using Calculate the network impact value coefficient of the reverse indicator of the mid-range optimization project, where Ve is the network impact value coefficient, Nx is the number of cell degradations, N is the number of network degradations, Ix is the cell indicator situation, I is the average level of the network indicator, and Im is the artificial correction coefficient; Evaluate time determination module usage Calculate the estimated working hours of the mid-range optimization project, where Te is the estimated working hours, Tm is the normal completion time of the assessment, To is the shortest completion time of the assessment, and Tp is the longest completion time of the assessment; The timeliness coefficient and effect coefficient are used to reflect the timeliness and processing effect of the mid-end optimization project. The timeliness coefficient k=1-(order acceptance timeout+processing timeout) / project Te, and the effect coefficient j=1+|project actual effect-project target effect| / project target effect.

5. The device according to claim 4, characterized in that The charging unit further comprises: An effectiveness ratio calculation module, used to calculate the effectiveness ratio of the evaluation working hours of the mid-end optimization project determined by the work order processing effective working hours determination module and the evaluation working hours of the corresponding mid-end optimization project determined by the work order processing actual working hours determination module; The cost calculation module is used to obtain the billing amount of the mid-range optimization project based on the product of the scenario value coefficient, problem value coefficient, network impact value coefficient of the mid-range optimization project obtained by the value coefficient acquisition unit, the effectiveness ratio calculated by the effectiveness ratio calculation module and the unit price of the mid-range optimization project.

6. The device according to claim 5, characterized in that: If the effectiveness ratio is greater than 1, it is calculated as 1; If the validity ratio is less than 1, the calculation is performed according to the actual value.

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