CN108269031B - Charging channel ordering and scheduling method and system based on operation data - Google Patents
Charging channel ordering and scheduling method and system based on operation data Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06316—Sequencing of tasks or work
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/14—Charging, metering or billing arrangements for data wireline or wireless communications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/14—Charging, metering or billing arrangements for data wireline or wireless communications
- H04L12/1485—Tariff-related aspects
Abstract
The invention discloses a charging channel ordering and scheduling method based on operation data, which comprises the following steps: classifying at least two charging channels into a first resource group and a second resource group; acquiring operation data, and acquiring sequencing weights according to the operation data; and sequencing the first resource group and the second resource group according to the sequencing weight to obtain a priority resource area and a secondary resource area, so that channel resources are reasonably managed and fully utilized, and the phenomenon of channel resource waste is reduced.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a billing channel ordering and scheduling method and system based on operation data.
Background
The SP charging means that the software application content provider accesses the interface provided by the SP provider through cooperation with the Service provider (SP provider), so that the SP charging capability is used, and generally the SP has various charging capabilities for users, such as a manner of mobile phone short message charging, WAP click charging or third party charging. The SP charging mode has the advantages of small payment according to the period and the use of the application, finer granularity of charging, higher user acceptance rate and the like, so that the SP charging mode becomes a mobile application software payment method with wide coverage range and high efficiency.
The conventional flow of the SP charging approach is that the SP provider provides a plurality of available SP charging channels, which refers to a charging approach provided by the SP provider to the user, including but not limited to: the method comprises the steps of sending a charging request by a user when the user uses software, wherein an SP provider selects a charging channel adapting to the charging request from a plurality of charging channels according to different charging requests, deducting fees from an operator side to a software application content provider according to the proper charging channels, and further completing charging of the mobile application software.
However, the SP charging mode adopts single channel management, each charge corresponds to one channel, so that the charge is easily caused in the SP charging process by using the charging channel, and the restrictions such as province, user day and month limit and the like are repeated, so that the data redundancy of the charging channel is caused, and the workload of operation, maintenance difficulty and working difficulty are increased; meanwhile, in the SP charging process, an SP provider needs to query a charging channel in real time and match the charging channel, so that accurate positioning of high-quality resources cannot be realized, the charging efficiency is poor, and the user experience is poor.
In other words, in the SP charging process in the prior art, there is no specific separation between the priority resource and the secondary resource, and no special priority division is performed, so that the acquisition rate and the charging efficiency of the SP charging channel are low, meanwhile, the operation load of the server is increased, the priority charging channel resource cannot be fully utilized, the charging experience is poor, and the secondary resource cannot be flexibly mobilized when the priority resource is full.
In summary, the prior art SP billing channels suffer from the following drawbacks:
1. the priority and the secondary resources are not prioritized, so that the priority resources cannot be fully and reasonably utilized, and the phenomenon that the priority resources or the secondary resources are unreasonably occupied, so that resource waste is caused often occurs.
2. Under the condition of resource shortage in the code pool, the accurate price inquiry does not have corresponding tariffs, and the user cannot charge, so that most of user resources are lost, and the user experience is reduced. In other words, it sometimes happens that a specific standard resource is busy, and the server cannot flexibly schedule the resource to meet the user demand.
3. The circulating filtering matching of the general system increases the resource consumption of the server and increases the link response time of the server and the client.
4. The operator can only observe the data to adjust the code pool resources at any time, so that the operation difficulty and the operation cost are increased, and the adjustment method is a task with huge workload for the operator, and meanwhile, the efficient adjustment efficiency cannot be guaranteed.
Disclosure of Invention
The invention aims to provide a charging channel ordering and scheduling method and a charging channel ordering and scheduling system based on operation data.
The invention aims to provide a charging channel ordering and scheduling method and a charging channel ordering and scheduling system based on operation data, wherein charging channels of packets are ordered by priority, and a server can accurately and rapidly position the charging channels.
The invention aims to provide a charging channel ordering and scheduling method and a charging channel ordering and scheduling system based on operation data, which are used for matching priority resources when scheduling charging channels, and then carrying out charging channel matching under a finer condition, so that the charging channels are screened accurately, the service operation of a server is greatly reduced, and the response time of a server is reduced.
The invention aims to provide a charging channel ordering and scheduling method and a charging channel ordering and scheduling system based on operation data, which improve the utilization rate of a charging channel, the acquisition rate of user tasks and the charging efficiency of users by adjusting the priority ordering of the charging channel.
The invention aims to provide a billing channel ordering and scheduling method and a billing channel ordering and scheduling system based on operation data, wherein billing resources are flexibly adjusted and managed, so that the operation pressure and operation cost of operators are reduced, and the billing efficiency is improved.
The invention aims to provide a charging channel ordering and scheduling method and a charging channel ordering and scheduling system based on operation data, which reasonably and fully utilize high-quality charging channel resources through grouping and priority weights, and reduce waste of the high-quality channel resources; by the tariff reducing process, the low tariff charging channel resources can be fully utilized.
To achieve any of the above objects, the present invention provides a billing channel ordering and scheduling method based on operation data, which is characterized by comprising the following steps:
s1: classifying at least two charging channels into a first resource group and a second resource group;
s2: acquiring operation data, and acquiring sequencing weights according to the operation data; and
and S3, sorting the first resource group and the second resource group according to the sorting weight to obtain a priority resource region and a secondary resource region.
In some embodiments, the step S3 is followed by the steps of:
s4: acquiring a charging request and acquiring a multidimensional condition in the charging request; and
s5: and matching the priority resource area or the secondary resource area according to the multidimensional condition.
In some embodiments, the step S5 includes the steps of:
s51: selecting at least one of the priority resource area or the secondary resource area as a selected resource area and the other as a non-selected resource area according to the multidimensional condition;
s52: acquiring the resource state of the selected resource area, and executing step S53 when the resource of the selected resource area is unavailable; and
s53: and matching the non-selected resource area, and modifying the charging request according to the non-selected resource.
In some embodiments, the step S2 includes the steps of:
s21, acquiring the fractional province charging conversion rate aiming at the first resource group and/or the second resource group; and
s22, according to the charging conversion rate, the sorting weight is obtained by combining a manual preset mode.
In some embodiments, the operation data includes, but is not limited to, a fractional billing conversion rate, a scarcity degree of the fractional billing of the resource in the code pool, and a code settlement rate, and the manual preset mode includes, but is not limited to, an amount limiting condition.
In some embodiments, in the step S3, when the first ranking weight of the first resource group is not lower than the second ranking weight of the second resource group, the first resource zone is the priority resource zone, and when the second ranking weight of the second resource group is not lower than the second ranking weight of the first resource group, the second resource zone is the priority resource zone.
In some embodiments, the multi-dimensional condition is selected from one or a combination of channel amount, code level, channel weight.
According to another aspect of the present invention, there is provided a billing channel ordering and scheduling system based on operation data, including:
a data unit, wherein the data unit stores charging channel data of a charging channel, wherein the charging channel data comprises operational data;
the classifying unit is communicatively connected with the data unit and classifies the charging channel into a first resource group or a second resource group according to the charging channel data; and
and the sorting unit is used for communicatively connecting the data unit and the classified source, acquiring the operation data, obtaining sorting weights, and sorting the first resource group and the second resource group into a priority resource area or a secondary resource area according to the sorting weights.
In some embodiments, the billing channel ordering and scheduling system based on operation data includes:
a condition unit, wherein the condition unit interactively obtains a charging request, wherein the charging request comprises a multidimensional condition; and
and a matching unit, wherein the matching unit is communicatively connected to the condition unit and the sorting unit, and matches and adjusts the priority resource region or the secondary resource region according to the multidimensional condition.
Drawings
Fig. 1 is a schematic diagram of a billing channel ordering and scheduling system based on operational data according to the present invention.
Fig. 2 is a schematic diagram of the ordering principle of the billing channel ordering and scheduling system based on operation data according to the present invention.
Fig. 3 is a schematic diagram of the ordering principle of the billing channel ordering and scheduling system based on operation data according to the present invention.
Fig. 4 to 6 are schematic flow diagrams of the charging channel ordering and scheduling method based on operation data according to the present invention.
Fig. 7 and 8 are schematic block diagrams of the billing channel sorting scheduling system based on operation data according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which are derived by a person skilled in the art based on the embodiments of the invention, fall within the scope of protection of the invention.
It will be appreciated by those skilled in the art that in the present disclosure, the terms "longitudinal," "transverse," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," etc. refer to an orientation or positional relationship based on that shown in the drawings, which is merely for convenience of description and to simplify the description, and do not indicate or imply that the apparatus or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore the above terms should not be construed as limiting the present invention.
It will be understood that the terms "a" and "an" should be interpreted as referring to "at least one" or "one or more," i.e., in one embodiment, the number of elements may be one, while in another embodiment, the number of elements may be plural, and the term "a" should not be interpreted as limiting the number.
The SP charging method is a charging method for realizing charging between an operator and an application Service provider by using the SP provider as an intermediary by sending a charging request to a Service provider (hereinafter referred to as SP provider) through a user terminal when using a Service provided by the application Service provider. The basic flow of the SP charging mode is that the application service provider first obtains one or more available charging channels from the SP provider, where the charging channels refer to a charging route allocated by the SP provider, including but not limited to: the system comprises a primary short message, a secondary short message, a primary verification code, a secondary verification code, networking, a pure instruction form and other various combination forms, wherein each charging channel corresponds to a specific charging standard. And then, when the user side selects a specific service item, sending a charging request to the SP provider, matching a proper charging channel through the charging request by the SP provider, and deducting corresponding fees from an operator to an application server according to the charging channel, thereby realizing a method of consuming deductions.
In the prior art, the superior resources and the secondary resources in the charging channel are not clearly distinguished in the SP charging process, so that the acquisition rate and the charging efficiency of the SP charging channel are low, meanwhile, the operation load of a server is increased, the superior charging channel resources cannot be fully utilized, the charging experience is poor, the secondary resources cannot be flexibly mobilized when the superior resources are full, and the like.
In order to solve the problems in the prior art, the invention provides a charging channel ordering and scheduling method based on operation data, which comprises the following steps:
s1: classifying at least two charging channels into a first resource group and a second resource group;
s2: acquiring operation data, and acquiring sequencing weights according to the operation data; and
and S3, sorting the first resource group and the second resource group according to the sorting weight to obtain a priority resource region and a secondary resource region.
As shown in fig. 1, the plurality of charging channels are classified into the first resource group or the second resource group in a grouping manner, specifically, a single charging channel is classified into the first resource group or the second resource group according to a certain classification criterion, and it should be noted that the first resource group and the second resource group herein do not refer to two resource groups, but may include more than two or even more resource groups, and the first and second are merely for separating different resource groups.
Specifically, in the embodiment of the invention, at least one charging channel is classified according to the classification standard, the classified charging channels form a resource group, wherein the charging channels comprise charging channel data, the charging channel data further comprise charging limiting condition information, and the charging limiting condition information further comprises global limiting condition information and detail limiting condition information. In the grouping process, global constraint condition information of each charging channel is matched with a first classification standard, when the global constraint condition information of the charging channel accords with the first classification standard, the charging channel forms a first resource group, when the global constraint condition information of the charging channel accords with a second classification standard, the charging channel forms a second resource group, and charging channels classified under the same resource group accord with the same classification standard requirement.
Notably, the global constraint information of the charging channel includes settlement proportion, weight, shielding/allowing application, region; the method comprises the steps of dividing a time period mask, an IP dividing the time period mask, applying a type mask, a time period, a date period mask, a number period mask, a day-month measurement test quantity, a code day-month total quantity, a single user day-month upper limit, an application day upper limit, an on-line and off-line mark, creation update time and the like, wherein global conditions, basic information, instruction number or interception verification code number in the data determine whether a charging implementation mode is networking or not, that is, the global limiting conditions comprise a charging implementation method of a charging channel, and in one embodiment of the invention, the charging channel can be classified according to the charging implementation mode.
In the step S2, the server obtains the operation data for each resource group, where the operation data includes, but is not limited to, provincial opening, code division, provincial charging conversion rate, charging user group provincial division rate and code settlement rate, and the server obtains the sorting weight by combining the operation data through manual pre-intervention of operators, and in general, when the operation data of a resource group is better, the higher the code level of the resource group is indicated, the higher the weight is, and vice versa, the lower the weight is.
That is to say, the sorting weight includes the weight value of the resource group, and under the condition that the manual pre-drying pre-condition is the same, the better the operation data of the resource group is, the higher the weight representing the resource group is. Of course, in some cases, there is a case of manual pre-intervention in the evaluation of the weight value, which requires that the ranking weights be adjusted according to the actual situation.
In addition, in the embodiment of the invention, the server mainly acquires the charging conversion rate of the province, secondarily acquires the scarcity degree of the province of the resource in the code pool and the code settlement rate, and evaluates the operation data condition of the resource group according to the data. That is, the distinction between the priority resource area and the secondary resource area is mainly based on the charging conversion rate of the province, and is further based on the scarcity degree of the province of the resource in the code pool and the code settlement ratio as auxiliary reference data.
For example, when the charging conversion rate of a specific resource group is high, the operation data of the resource group is considered to be good, and when the scarcity degree of the specific resource group is high, the operation data of the resource group is considered to be good, and similarly, when the code settlement rate of the specific resource group is high, the operation data of the resource group is considered to be good, and when other condition control is the same, the weight value of the specific resource group is high.
The manual pre-drying pre-condition may also be divided into a plurality of cases when the sorting weight is acquired, and in the embodiment of the present invention, the manual pre-drying pre-condition may include a defined amount of the resource group, and in general, it is considered that a defined amount of a certain resource group is high and then the weight value of the resource group is high.
At this time, the step S2 further includes the steps of:
s21, acquiring the fractional province charging conversion rate aiming at the resource group; and
s22, according to the charging conversion rate, the sorting weight is obtained by combining a manual preset mode.
In addition, in the step S21, one or a combination of the provincial opening condition, the code division, the charging user group division, and the code settlement ratio may be acquired, and then in the step S22, the ranking weight may be acquired for a plurality of operation data and manual pre-setting.
In the step S3, the server ranks the first resource group and the second resource group according to the ranking weight. It is noted that when the weight of the first resource group is not higher than the weight of the second resource group, the first resource group is the secondary resource with respect to the second resource group, and the first resource group is divided into the secondary resource areas, however this is only relatively compared. In some cases, the server sets a weight threshold, the first resource group is the secondary resource region when the weight of the first resource group is not higher than the weight threshold, the first resource group is the priority resource region when the weight of the first resource group is not lower than the weight threshold, and so on.
In this way, the charging channels are classified into resource groups according to a certain standard, the resource groups are further ranked into the priority resource area or the secondary resource area according to a ranking weight, therefore, the SP provider provides a code pool, the code pool comprises the priority resource area and the secondary resource area, the charging channels with higher weight values are stored in the priority resource area, the charging channels with lower weight values are stored in the secondary resource area, and in addition, the weight values are mainly determined according to operation data of the charging channels.
The charging channel ordering and scheduling method based on the operation data comprises the following steps:
s4: acquiring a charging request and acquiring a multidimensional condition in the charging request; and
s5: and matching the priority resource area or the secondary resource area according to the multidimensional condition.
In the step S4, the server receives a charging request from the user terminal, where the charging request includes a multidimensional condition and other request data, and specifically, the multidimensional condition includes one or a combination of a channel amount, a code level, a channel weight, and the server may select the priority resource area or the secondary resource area according to the multidimensional condition.
In addition, the request data includes, but is not limited to, request limitation data, wherein the request limitation data includes request data, user information data, application side information data and the like, the request data includes data such as charging amount, charging realization method and the like, the user information data includes data such as user province, user identity and the like, and the application side data includes data such as application side information and the like. In other words, the charging request data includes data corresponding to the global constraint condition information, for example, when the global constraint condition information is a charging implementation method, the request data in the request data corresponds to the global constraint condition information, and a specific charging channel may be selected according to the request data.
In an embodiment of the present invention, in order to better utilize the charging resources, that is, to better apply the priority resource region or the secondary resource region, the step S5 further includes:
s51: selecting at least one of the priority resource area or the secondary resource area as a selected resource area and the other as a non-selected resource area according to the multidimensional condition;
s52: acquiring the resource state of the selected resource area, and executing step S53 when the resource of the selected resource area is unavailable; and
s53: and matching the non-selected resource area, and modifying the charging request according to the non-selected resource.
It should be noted that, in the embodiment of the present invention, the selected resource area is selected according to the multidimensional condition, and the selected resource area may be the priority resource area or the secondary resource area, and then the unselected resource area is the unselected resource area, where the multidimensional condition includes information such as a charging amount, an operator, an province, a code level, and a weight.
In the step S52, the resource status of the selected resource area indicates whether the selected resource area is in an available state, and when the selected resource area is available, an adapted charging channel is selected from within the selected resource area according to the charging request. And when the selected resource region is not available, the non-selected resource region that is available is called, in this way the resources of the resource region can be fully utilized.
For example, when the multidimensional condition in the charging request indicates that the charging request requires a high tariff channel, assuming that a high tariff corresponds to a priority resource region, the priority resource region is selected according to the multidimensional condition, but when the server monitors that the priority resource region is not available, the server matches the relatively secondary resource region and appropriately reduces the tariff requirement of the charging request. That is, the utilization rate of each tariff of the charging code can be improved by a tariff-reducing method, the situation that the charging balance of part of users is insufficient is solved, the task acquisition rate and the charging efficiency of the users are further improved, the user experience of the user charging is improved, and meanwhile, the charging income is also increased.
Of course, when the multidimensional condition shows that the charging request requires a low-tariff channel, the secondary resource area is selected according to the multidimensional condition assuming that the low-tariff corresponds to the secondary resource area, but when the service ticket monitors that the secondary resource area is full, the service ticket matches the relatively superior resource area, and at the moment, the charging tariff of the charging request can be not regulated, so that the problem that the user resource is unavailable is solved, the utilization rate of the charging resource is fully improved, and the charging income is increased.
That is, by the charging channel sorting and scheduling method based on the operation data, the charging channel resources are reasonably managed through the grouping charging channels, so that operators can conveniently adjust a code pool, the operation time cost is greatly reduced, the response speed of a server side and a client side is improved, and the server pressure is further relieved.
According to another aspect of the present invention, there is provided an operation data based charging channel ordering and scheduling system, hereinafter, the operation data based charging channel ordering and scheduling system will be referred to as a charging channel ordering and scheduling system, and there is no difference in meaning between them. The charging channel ordering and scheduling system performs packet ordering on the charging channels based on operation data, and the charging channel ordering and scheduling system comprises: the system comprises a data unit 10, a classification unit 20 and a sorting unit 30, wherein the data unit 10 comprises a database K, at least one charging channel data is stored in the database, the classification unit 20 acquires the charging channel data, the charging channels are grouped to form a resource area, the sorting unit 30 acquires the operation data and obtains a sorting weight, and the resource area is sorted into a priority resource area or a secondary resource area according to the sorting weight.
Specifically, the data unit 10 includes the database K, and the database K stores the charging channel data, where the charging channel data includes operation data and charging constraint information, and detailed data information about the charging constraint information and the operation data is not described in detail herein.
The classifying unit 20 includes a channel data module 21 and a resource area module 22, where the channel data module 21 obtains the charging channel data, mainly obtains the charging constraint information, but in some cases also obtains the operation data, and the resource area module 22 is communicatively connected to the channel data module 21, where the resource area module 22 obtains the charging channel data, and groups the charging channel into a first resource area or a second resource area according to the charging channel data, and it is noted that the description of the first resource area and the description of the second resource area have been mentioned before, and are not further described herein.
The sorting unit 30 comprises an operation data module 31, a sorting weight module 32, a priority resource zone module 33 and a secondary resource zone module 34, wherein the operation data module 31 is communicatively connected to the channel data module 21 or the data unit 10 to obtain the operation data, and it should be noted that the operation data module 31 may obtain operation data for each charging channel, or may obtain group operation data for each resource group, wherein the group operation data comprises operation data corresponding to a plurality of even all charging channels in the resource group.
The ranking weight module 32 is communicatively connected to the operational data module 31, wherein the ranking weight module 32 obtains the operational data, and in some cases, the ranking weight module 32 obtains additional manual intervention information, and the operational data obtains a ranking weight in combination with the manual intervention information. It should be noted that, the ranking weight module 32 mainly obtains the fractional charging conversion rate of the charging channel, and assists in obtaining the scarcity degree of the fractional province of the resource of the charging channel in the code pool, and the ranking weight of the charging channel is determined by taking the code settlement ratio as an auxiliary measure, and the manual intervention information can be preset condition values of some practical situations, such as channel amount condition and the like.
The ranking weight module 32 is communicatively connected to the resource zone module 22 to obtain the resource zones, and the resource zones are ranked into a top-level resource zone and a secondary resource zone according to the ranking weight, specifically, each resource zone corresponds to a ranking value (which may be a weight value) according to the ranking weight, the resource zones are ranked according to the ranking value, and the top-level resource zone and the secondary resource zone are obtained. The priority resource region is categorized in the priority resource region module 33 and the secondary resource region is categorized in the secondary resource region module 34, wherein the priority resource region and the secondary resource region are relative concepts.
In this way, the charging channel provided by the SP provider is classified into the resource region according to the channel data and the classification standard, further, the resource region is ranked into the priority resource region or the secondary resource region according to the ranking weight, and the priority resource region and the secondary resource region constitute a code pool.
In addition, the charging channel ordering and scheduling system may schedule the charging channel according to the priority resource region and the secondary resource region based on operation data, and the charging channel ordering and scheduling system includes a condition unit 40 and a matching unit 50, where the condition unit 40 interactively obtains a charging request, generally speaking, the charging request originates from a user side, but not limited thereto, where the charging request includes a multidimensional condition and other request data, specifically, the multidimensional condition includes one or a combination of a channel amount, a code level, and a channel weight, and the server may select the priority resource region or the secondary resource region according to the multidimensional condition.
In addition, the request data includes, but is not limited to, request limitation data, wherein the request limitation data includes request data, user information data, application side information data and the like, the request data includes data such as charging amount, charging realization method and the like, the user information data includes data such as user province, user identity and the like, and the application side data includes data such as application side information and the like. In other words, the charging request data includes data corresponding to the global constraint condition information, for example, when the global constraint condition information is a charging implementation method, the request data in the request data corresponds to the global constraint condition information, and a specific charging channel may be selected according to the request data.
The matching unit 50 is communicatively connected to the condition unit 40 and 6240 the ordering unit 30 for obtaining the charging request and the resource region for selecting an adapted resource region according to the charging request. The matching unit 50 includes a screening module 51 and a matching module 53, where the screening module 51 screens the resource area according to the charging request, the priority resource area or the secondary resource area is selected as a selected resource area, and an unselected resource area is also a non-selected resource area, and the matching module 53 is communicatively connected to the screening module 51 to match the selected resource area according to a screening result of the screening module 51.
Of course, in some cases, the matching unit 50 judges the resource status of the resource region and appropriately adjusts the utilization of the resource region. Specifically, the matching unit 50 includes an adjustment module 52, wherein the adjustment module 52 is communicatively connected to the screening module 51 to obtain screening results (selected resource areas and non-selected resource areas) of the screening module 51, and the adjustment module 52 obtains the status of the selected resource areas.
The resource status of the selected resource area is expressed as whether the selected resource area is in an available state, and when the selected resource area is available, an adapted charging channel is selected from within the selected resource area according to the charging request. And when the selected resource region is not available, the non-selected resource region that is available is called, in this way the resources of the resource region can be fully utilized.
For example, when the multidimensional condition in the charging request indicates that the charging request requires a high tariff channel, assuming that a high tariff corresponds to a priority resource region, the priority resource region is selected according to the multidimensional condition, but when the server monitors that the priority resource region is not available, the server matches the relatively secondary resource region and appropriately reduces the tariff requirement of the charging request. That is, the utilization rate of each tariff of the charging code can be improved by a tariff-reducing method, the situation that the charging balance of part of users is insufficient is solved, the task acquisition rate and the charging efficiency of the users are further improved, the user experience of the user charging is improved, and meanwhile, the charging income is also increased.
At this time, the matching module 53 is communicatively connected to the adjusting module 52, so as to match the priority resource area or the secondary resource area according to the adjusting result of the adjusting module 52, and it is noted that the priority resource area and the secondary resource area are ordered, and the resource area can be adjusted according to the weight.
The present invention is not limited to the above-described preferred embodiments, and any person who can obtain other various products under the teaching of the present invention, however, any change in shape or structure of the product is within the scope of the present invention, and all the products having the same or similar technical solutions as the present application are included.
Claims (9)
1. The charging channel ordering and scheduling method based on the operation data is characterized by comprising the following steps:
s1: classifying at least two charging channels into a first resource group and a second resource group; in the grouping process, global constraint condition information of each charging channel is matched with a first classification standard, when the global constraint condition information of the charging channel accords with the first classification standard, the charging channel forms a first resource group, when the global constraint information of the charging channel accords with a second classification standard, the charging channel forms a second resource group, and charging channels classified under the same resource group accord with the same classification standard requirement, wherein the global constraint condition comprises a charging realization method of the charging channel;
s2: acquiring operation data, and acquiring sequencing weights in a mode of combining the operation data by an operator through manual pre-setting, wherein the sequencing weights comprise weight values of resource groups, the manual pre-setting condition comprises an amount limiting condition of the resource groups, and when the operation data of the resource groups are better, the higher the weight of the resource groups is, the higher the amount limiting condition of a certain resource group is, the higher the weight of the resource groups is; and
and S3, sorting the first resource group and the second resource group according to the sorting weight to obtain a priority resource region and a secondary resource region.
2. The method for scheduling traffic channel ordering based on operation data according to claim 1, comprising the following steps after said step S3:
s4: acquiring a charging request and acquiring a multidimensional condition in the charging request; and
s5: and matching the priority resource area or the secondary resource area according to the multidimensional condition.
3. The method for scheduling charging channels based on operation data according to claim 2, wherein the step S5 comprises the steps of:
s51: selecting at least one of the priority resource area or the secondary resource area as a selected resource area and the other as a non-selected resource area according to the multidimensional condition;
s52: acquiring the resource state of the selected resource area, and executing step S53 when the resource of the selected resource area is unavailable; and
s53: and matching the non-selected resource area, and modifying the charging request according to the non-selected resource.
4. A charging channel ordering scheduling method based on operation data according to any one of claims 1 to 3, characterized in that said step S2 comprises the steps of:
s21, acquiring the fractional province charging conversion rate aiming at the first resource group and/or the second resource group; and
s22, according to the charging conversion rate, combining manual preset data to obtain the sequencing weight.
5. The method for scheduling charging channel ordering based on operation data according to claim 4, wherein the operation data includes a fractional billing conversion rate, and a scarcity degree of the first resource group and/or the second resource group in the code pool, and a code settlement ratio, and the manual pre-setting data includes an amount limitation condition.
6. The method for scheduling charging channels based on operation data according to any one of claims 1 to 3, wherein in the step S3, when the ranking weight of the first resource group is not lower than the ranking weight of the second resource group, the first resource group is the priority resource zone, and when the ranking weight of the second resource group is not lower than the ranking weight of the first resource group, the second resource group is the priority resource zone.
7. A charging channel ordering scheduling method based on operation data according to claim 3, wherein the multidimensional condition is selected from one or a combination of channel amount, code level, channel weight.
8. A billing channel ordering and scheduling system based on operation data, comprising:
a data unit, wherein the data unit stores charging channel data of a charging channel, wherein the charging channel data comprises operational data;
the classifying unit is communicatively connected with the data unit and classifies at least two charging channels into a first resource group and a second resource group; in the grouping process, global constraint condition information of each charging channel is matched with a first classification standard, when the global constraint condition information of the charging channel accords with the first classification standard, the charging channel forms a first resource group, when the global constraint information of the charging channel accords with a second classification standard, the charging channel forms a second resource group, and charging channels classified under the same resource group accord with the same classification standard requirement, wherein the global constraint condition comprises a charging realization method of the charging channel; and
the sorting unit is communicatively connected with the data unit and the classifying unit, the sorting weight is obtained by manually presetting a mode of combining the operation data by an operator, the sorting weight comprises a weight value of the resource group, the manual presetting condition comprises an amount limiting condition of the resource group, when the operation data of the resource group is better, the weight of the resource group is higher, the weight of a certain resource group is higher, the weight of the resource group is higher, and the first resource group and the second resource group are sorted according to the sorting weight, so that a superior resource area and a secondary resource area are obtained.
9. The billing channel ordering and scheduling system based on operation data according to claim 8, comprising:
a condition unit, wherein the condition unit interactively obtains a charging request, wherein the charging request comprises a multidimensional condition; and
and a matching unit, wherein the matching unit is communicatively connected to the condition unit and the sorting unit, and matches and adjusts the priority resource region or the secondary resource region according to the multidimensional condition.
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