CN109756637B - Ticket data statistical method, device, computer device and readable storage medium - Google Patents

Ticket data statistical method, device, computer device and readable storage medium Download PDF

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CN109756637B
CN109756637B CN201811540342.7A CN201811540342A CN109756637B CN 109756637 B CN109756637 B CN 109756637B CN 201811540342 A CN201811540342 A CN 201811540342A CN 109756637 B CN109756637 B CN 109756637B
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call
ticket data
original
called number
data
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CN109756637A (en
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王朝军
黄忠品
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Ningbo Niuxin Network Technology Co ltd
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Ningbo Niuxin Network Technology Co ltd
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Abstract

The invention is suitable for the technical field of communication, and provides a method and a device for counting call ticket data, wherein the method comprises the following steps: capturing original call ticket data of a call, wherein the original call ticket data comprises a called number and call duration; acquiring a longest operator number section of the called number, wherein the longest operator number section comprises a country code; calculating the selling price, cost and profit of the call according to the country code, the call duration, the customer price rate and the supplier price rate; combining the calculated selling price, the cost and the profit with the original ticket data to generate new ticket data, and improving the efficiency of counting and integrating tickets.

Description

Ticket data statistical method, device, computer device and readable storage medium
Technical Field
The invention belongs to the technical field of communication, and particularly relates to a method and a device for counting call ticket data, a computer device and a readable storage medium.
Background
With the development of communication technology, more and more people use mobile phones to carry out services such as conversation and internet surfing, and therefore call ticket data containing a large amount of information can be generated. For convenience of management, companies such as operators need to perform statistical integration on information such as call destinations, call duration, customer fees (income), provider fees (cost), and profits related to the ticket data.
Usually, the operator calculates the customer fee and the provider fee generated by the call and calculates the profit brought by the call, and then statistically integrates these information manually, which is inefficient.
Disclosure of Invention
The embodiment of the invention provides a method for counting call ticket data, aiming at solving the problem of how to improve the efficiency of counting and integrating call tickets.
The embodiment of the invention is realized in such a way that a call ticket data statistical method comprises the following steps:
capturing original call ticket data of a call, wherein the original call ticket data comprises a called number and call duration;
acquiring a longest operator number section of the called number, wherein the longest operator number section comprises a country code; calculating the selling price, cost and profit of the call according to the country code, the call duration, the customer price rate and the supplier price rate;
and combining the calculated selling price, the cost and the profit with the original ticket data to generate new ticket data.
Furthermore, the capturing of the original call ticket data of the call includes: and capturing the original call ticket data from a soft switching system at regular time.
Further, the obtaining the longest operator number segment of the called number includes: and matching the called number with the loaded operator number segment so as to obtain the longest operator number segment of the called number.
Further, the customer bid rate and the supplier bid fee are preloaded.
Furthermore, after the calculated selling price, the cost and the profit are integrated into the original call ticket data and new call ticket data are generated, the new call ticket data can be stored and the original call ticket data can be emptied.
Therefore, the method and the device automatically calculate the data such as the selling price, the cost, the profit and the like of the call by obtaining the original call bill data of the call and through a series of operations such as obtaining, calculating and the like, successfully count and integrate the data and the original call bill data to generate a new call bill data containing the data, and improve the efficiency of call bill counting and integration.
The embodiment of the invention also provides a device for counting the ticket data, which comprises:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for capturing original call ticket data of a call, and the original call ticket data comprises a called number and call duration;
the calculation unit is used for acquiring the longest operator number section of the called number, and the longest operator number section comprises a country code; calculating the selling price, cost and profit of the call according to the country code, the call duration, the customer price rate and the supplier price rate;
and the integration statistical unit is used for combining the calculated selling price, the cost and the profit with the original ticket data to generate new ticket data.
Further, the obtaining unit is specifically configured to capture the original call ticket data from the soft switch system at regular time.
Further, the calculating unit is specifically configured to match the called number with the loaded operator number segment, so as to obtain the longest operator number segment of the called number.
Further, the customer bid rate and the supplier bid fee are preloaded.
Furthermore, the device for counting call ticket data further comprises:
and the storage cleaning unit is used for integrating the calculated selling price, the cost and the profit into the original call ticket data, storing the new call ticket data after generating the new call ticket data, and clearing the original call ticket data.
Therefore, the method and the device automatically calculate the data such as the selling price, the cost, the profit and the like of the call by obtaining the original call bill data of the call and through a series of operations such as obtaining, calculating and the like, successfully count and integrate the data and the original call bill data to generate a new call bill data containing the data, and improve the efficiency of call bill counting and integration.
The embodiment of the invention also provides a computer device which comprises a processor, wherein the processor is used for realizing the steps of any one of the call ticket data statistical methods when executing the computer program stored in the memory.
The embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of any one of the foregoing call ticket data statistics methods.
Compared with the prior art, the beneficial effect who has:
according to the method and the device, the original call bill data of the call are obtained, and through a series of operations such as obtaining and calculating, the data such as the selling price, the cost and the profit of the call are automatically calculated, and the data and the original call bill data are successfully counted and integrated to generate a new call bill data containing the data.
Drawings
Fig. 1 is a schematic flow chart of a method for counting call ticket data according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a ticket data statistics apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example one
Referring to fig. 1, the present application provides a schematic flow chart of a call ticket data statistical method, which includes, but is not limited to, the following steps:
s101, a call bill data statistics device captures original call bill data of a call, wherein the original call bill data comprises a called number and call duration.
In the application, the call ticket data statistical device can be directly connected with a soft switching system to obtain original call ticket data from a database of the soft switching system, wherein in order to capture the latest data and avoid the data from being captured without leakage and repeated capture, the call ticket data statistical device can capture the original call ticket data from the database of the soft switching system regularly, for example, capture 3 thousand pieces of original call ticket data from the database every one minute. The original call ticket data may include information of a called number, a start time, an end time, a call duration, and the like of a corresponding call.
S102, the call bill data statistical device obtains the longest operator number section of the called number, wherein the longest operator number section comprises a country code; and calculating the selling price, cost and profit of the call according to the country code, the call duration, the customer price rate and the supplier price rate.
The call ticket data statistical device can pre-load an operator number section into a cache, wherein the call ticket data statistical device matches a called number with the loaded operator number section, if a number on a fixed position of the called number is matched with the loaded operator number section, the numbers on the fixed position and the later positions on the called number can be used as the longest operator number section of the called number, wherein the fixed position can be determined according to a set rule of the called number, the position of the operator number section on the called number is generally selected, if a mobile number of an operator C is 11 positions, the operator number section is recorded from right to left, and if the position of the operator number section is generally 9, 10 and 11 positions, the fixed position can be 9, 10 and 11 positions. For example, if the called number is 00118512341234 and is the mobile number of carrier C, the fixed digits can be set to 9 th, 10 th and 11 th digits, and the number 185 on the fixed digit of the called number is the carrier number segment, then the number 001185 on the fixed digit and the digits after the fixed digit on the called number can be the longest carrier number segment; or, if the setting rule of the called number determines that the numbers on the fixed digit and the digits after the fixed digit on the called number can be the longest operator number segment, and if the operator number segment is determined to be the 9 th, 10 th, and 11 th digits, the numbers 001185 on the 9 th, 10 th, and 11 th digits and the digits after the 00118512341234 th, 10 th, and 11 th digits on the called number can be directly the longest operator number segment.
The longest operator number segment may include an operator number segment and a country code, and the country code may be a number remaining in the longest operator number segment except the operator number segment. If the longest carrier number segment can be 001185, and the carrier number segment is 185, then the country code is 001.
In addition, the call ticket data statistics device can also pre-load a client quotation rate and a supplier quotation rate into the cache, wherein the client quotation rate can comprise a charging standard for the user to make a certain telephone call, and the supplier quotation rate can comprise a cost for the supplier (operator) to support the user to make a certain telephone call. In combination with the above, when the country code on the called number is obtained, the operator can determine the location to which the call belongs, the bill data statistical apparatus can call the customer price rate and the supplier price rate corresponding to the location to which the call belongs, and calculate the selling price, cost and profit of the call according to the call duration, the customer price rate and the supplier price rate of the call. If the country code on the called number is 001 and the corresponding place of the country code is A, the bill data statistical device can call out the client quotation rate and the supplier quotation rate for communicating with A, if the client quotation rate for communicating with A comprises that the charging standard of the user for dialing the telephone to A is RMB 2 yuan/min, the supplier quotation rate for communicating with A is RMB 1 yuan/min which is the cost of the supplier (operator) when the user dials a certain telephone, the product of the communication time of the communication and the client quotation rate for communicating with A is taken as the selling price of the communication, and the product of the communication time of the communication and the supplier quotation rate for communicating with A is taken as the cost of the communication, if the communication time is 10 min, the product of the communication time 10 min and the client quotation rate of communicating with A is taken as the selling price of the communication, if the communication time is 10 min, the product of the communication time of the communication with A and the client quotation rate of the communication with A is taken as 20 yuan/min, the 10 Yuan obtained by multiplying the call duration by the supplier quotation rate of 1 Yuan/min for the call with the nation A is taken as the cost of the call, and the selling price minus the cost of the call is taken as the profit obtained by the call.
It can be understood that the customer quotation rate and the supplier quotation rate may respectively include a charging standard corresponding to a plurality of countries (or regions) for the user to make a phone call, and a cost for the supplier (operator) corresponding to the plurality of countries (or regions) to support the phone call made by the user.
S103, the bill data statistical device combines the calculated selling price, the cost and the profit with the original bill data to generate new bill data.
When the selling price, the cost and the profit of the call are calculated, the bill data statistical device can combine the calculated contents with the original bill data to generate a new bill data which simultaneously comprises the selling price, the cost and the profit of the call and store the new bill data in the memory. And in order to avoid the overflow of the memory due to the storage of excessive content, the method and the device can also clear the original call ticket data acquired before, thereby ensuring the normal storage of the memory.
Therefore, the method and the device automatically calculate the data such as the selling price, the cost, the profit and the like of the call by obtaining the original call bill data of the call and through a series of operations such as obtaining, calculating and the like, successfully count and integrate the data and the original call bill data to generate a new call bill data containing the data, and improve the efficiency of call bill counting and integration.
Example two
With the above concept, referring to fig. 2, the present application provides a schematic structural diagram of a ticket data statistics apparatus, where the apparatus includes:
the device comprises an acquisition unit 1, a processing unit and a processing unit, wherein the acquisition unit is used for capturing original call ticket data of a call, and the original call ticket data comprises a called number and call duration;
further, the obtaining unit 1 is specifically configured to capture the original call ticket data from the soft switch system at regular time.
In the application, the call ticket data statistical device can be directly connected with a soft switching system to obtain original call ticket data from a database of the soft switching system, wherein in order to capture the latest data and avoid the data from being captured without leakage and repeated capture, the call ticket data statistical device can capture the original call ticket data from the database of the soft switching system regularly, for example, capture 3 thousand pieces of original call ticket data from the database every one minute. The original call ticket data may include information of a called number, a start time, an end time, a call duration, and the like of a corresponding call.
The calculation unit 2 is configured to obtain a longest operator number segment of the called number, where the longest operator number segment includes a country code; calculating the selling price, cost and profit of the call according to the country code, the call duration, the client price rate and the supplier price rate;
the calculating unit 2 is specifically configured to match the called number with the loaded operator number segment, so as to obtain the longest operator number segment of the called number.
Wherein the customer bid rate and the provider bid fee are preloaded.
The call ticket data statistical device can pre-load an operator number section into a cache, wherein the call ticket data statistical device matches a called number with the loaded operator number section, if a number on a fixed position of the called number is matched with the loaded operator number section, the numbers on the fixed position and the later positions on the called number can be used as the longest operator number section of the called number, wherein the fixed position can be determined according to a set rule of the called number, the position of the operator number section on the called number is generally selected, if a mobile number of an operator C is 11 positions, the operator number section is recorded from right to left, and if the position of the operator number section is generally 9, 10 and 11 positions, the fixed position can be 9, 10 and 11 positions. For example, if the called number is 00118512341234 and is the mobile number of carrier C, the fixed digits can be set to 9 th, 10 th and 11 th digits, and the number 185 on the fixed digit of the called number is the carrier number segment, then the number 001185 on the fixed digit and the digits after the fixed digit on the called number can be the longest carrier number segment; or, if the setting rule of the called number determines that the numbers on the fixed digit and the digits after the fixed digit on the called number can be the longest operator number segment, and if the operator number segment is determined to be the 9 th, 10 th, and 11 th digits, the numbers 001185 on the 9 th, 10 th, and 11 th digits and the digits after the 00118512341234 th, 10 th, and 11 th digits on the called number can be directly the longest operator number segment.
The longest operator number segment may include an operator number segment and a country code, and the country code may be a number remaining in the longest operator number segment except the operator number segment. If the longest carrier number segment can be 001185, and the carrier number segment is 185, then the country code is 001.
In addition, the call ticket data statistics device can also pre-load a client quotation rate and a supplier quotation rate into the cache, wherein the client quotation rate can comprise a charging standard for the user to make a certain telephone call, and the supplier quotation rate can comprise a cost for the supplier (operator) to support the user to make a certain telephone call. In combination with the above, when the country code on the called number is obtained, the operator can determine the location to which the call belongs, the bill data statistical apparatus can call the customer price rate and the supplier price rate corresponding to the location to which the call belongs, and calculate the selling price, cost and profit of the call according to the call duration, the customer price rate and the supplier price rate of the call. If the country code on the called number is 001 and the corresponding place of the country code is A, the bill data statistical device can call out the client quotation rate and the supplier quotation rate for communicating with A, if the client quotation rate for communicating with A comprises that the charging standard of the user for dialing the telephone to A is RMB 2 yuan/min, the supplier quotation rate for communicating with A is RMB 1 yuan/min which is the cost of the supplier (operator) when the user dials a certain telephone, the product of the communication time of the communication and the client quotation rate for communicating with A is taken as the selling price of the communication, and the product of the communication time of the communication and the supplier quotation rate for communicating with A is taken as the cost of the communication, if the communication time is 10 min, the product of the communication time 10 min and the client quotation rate of communicating with A is taken as the selling price of the communication, if the communication time is 10 min, the product of the communication time of the communication with A and the client quotation rate of the communication with A is taken as 20 yuan/min, the 10 Yuan obtained by multiplying the call duration by the supplier quotation rate of 1 Yuan/min for the call with the nation A is taken as the cost of the call, and the selling price minus the cost of the call is taken as the profit obtained by the call.
It can be understood that the customer quotation rate and the supplier quotation rate may respectively include a charging standard corresponding to a plurality of countries (or regions) for the user to make a phone call, and a cost for the supplier (operator) corresponding to the plurality of countries (or regions) to support the phone call made by the user.
And the integration statistical unit 3 is used for combining the calculated selling price, the cost and the profit with the original call ticket data to generate new call ticket data.
Furthermore, the device for counting the ticket data further comprises:
and the storage cleaning unit is used for integrating the calculated selling price, the cost and the profit into the original call ticket data, storing the new call ticket data after generating the new call ticket data, and clearing the original call ticket data.
When the selling price, the cost and the profit of the call are calculated, the bill data statistical device can combine the calculated contents with the original bill data to generate a new bill data which simultaneously comprises the selling price, the cost and the profit of the call and store the new bill data in the memory. And in order to avoid the overflow of the memory due to the storage of excessive content, the method and the device can also clear the original call ticket data acquired before, thereby ensuring the normal storage of the memory.
Therefore, the method and the device automatically calculate the data such as the selling price, the cost, the profit and the like of the call by obtaining the original call bill data of the call and through a series of operations such as obtaining, calculating and the like, successfully count and integrate the data and the original call bill data to generate a new call bill data containing the data, and improve the efficiency of call bill counting and integration.
As an alternative embodiment, the present application further provides a computer apparatus, where the computer apparatus includes a processor, and the processor is configured to implement the steps of the method for statistics of ticket data according to any one of the foregoing embodiments when executing the computer program stored in the memory.
As an alternative embodiment, the present application further provides a computer-readable storage medium having a computer program stored thereon, where the computer program is executed by a processor to implement the steps of the method for statistics of call ticket data in any one of the above embodiments.
Illustratively, a computer program can be partitioned into one or more modules, which are stored in memory and executed by a processor to implement the present invention. One or more of the modules may be a sequence of computer program instruction segments for describing the execution of a computer program in a computer device that is capable of performing certain functions. For example, the computer program may be divided into the steps of the fee payment method provided by the various method embodiments described above.
Those skilled in the art will appreciate that the above description of a computer apparatus is by way of example only and is not intended to be limiting of computer apparatus, and that the apparatus may include more or less components than those described, or some of the components may be combined, or different components may be included, such as input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like which is the control center for the computer device and which connects the various parts of the overall computer device using various interfaces and lines.
The memory may be used to store the computer programs and/or modules, and the processor may implement various functions of the computer device by running or executing the computer programs and/or modules stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The modules/units integrated by the computer device may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the processes in the method according to the embodiments of the present invention may be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the embodiments of the fee payment method may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, electrical signals, software distribution medium, and the like.
The explanation of the terms involved in this embodiment may refer to the description of the first embodiment, and will not be repeated herein.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (9)

1. A call ticket data statistical method is characterized in that the method comprises the following steps:
capturing original call ticket data of a call, wherein the original call ticket data comprises a called number and call duration;
acquiring a longest operator number section of the called number, wherein the longest operator number section comprises a country code; calculating the selling price, cost and profit of the call according to the country code, the call duration, the customer price rate and the supplier price rate;
combining the calculated selling price, the cost and the profit with the original ticket data to generate new ticket data;
the obtaining of the longest operator number segment of the called number includes:
matching the number on the fixed position of the called number with the loaded operator number section, wherein the fixed position can be determined according to the set rule of the called number;
and if the number on the fixed position of the called number is matched with the loaded operator number segment, taking the numbers on the fixed position and the subsequent positions on the called number as the longest operator number segment of the called number.
2. The ticket data statistical method of claim 1, wherein said capturing original ticket data of the call comprises:
and capturing the original call ticket data from a soft switching system at regular time.
3. The ticket data statistical method of claim 1, wherein said customer offer rate and said provider offer fee are preloaded.
4. A bill data statistical method according to any one of claims 1 to 3, wherein said integrating the calculated selling price, the cost and the profit into the original bill data, and after generating new bill data, further comprises:
and storing the new call ticket data and clearing the original call ticket data.
5. A call ticket data statistics apparatus, comprising:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for capturing original call ticket data of a call, and the original call ticket data comprises a called number and call duration;
the calculation unit is used for acquiring the longest operator number section of the called number, and the longest operator number section comprises a country code; calculating the selling price, cost and profit of the call according to the country code, the call duration, the customer price rate and the supplier price rate;
the integration statistical unit is used for combining the calculated selling price, the cost and the profit with the original call ticket data to generate new call ticket data;
the calculation unit is configured to match a number on a fixed position of the called number with the loaded operator number segment, where the fixed position may be determined according to a setting rule of the called number, and if the number on the fixed position of the called number matches the loaded operator number segment, the numbers on the fixed position and the subsequent positions on the called number are used as the longest operator number segment of the called number.
6. The ticket data statistics apparatus of claim 5, wherein the obtaining unit is specifically configured to capture the original ticket data from a soft switch system at regular time.
7. A ticket data statistics apparatus according to any one of claims 5 to 6, characterized in that said ticket data statistics apparatus further comprises:
and the storage cleaning unit is used for integrating the calculated selling price, the cost and the profit into the original call ticket data, storing the new call ticket data after generating the new call ticket data, and clearing the original call ticket data.
8. A computer arrangement, characterized in that the computer arrangement comprises a processor for implementing the steps of the bill data statistical method according to any one of claims 1-4 when executing a computer program stored in a memory.
9. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program, when being executed by a processor, implements the steps of the ticket data statistical method according to any one of claims 1-4.
CN201811540342.7A 2018-12-17 2018-12-17 Ticket data statistical method, device, computer device and readable storage medium Active CN109756637B (en)

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