CN114866643A - Communication data skynet monitoring system based on big data - Google Patents

Communication data skynet monitoring system based on big data Download PDF

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CN114866643A
CN114866643A CN202210476907.XA CN202210476907A CN114866643A CN 114866643 A CN114866643 A CN 114866643A CN 202210476907 A CN202210476907 A CN 202210476907A CN 114866643 A CN114866643 A CN 114866643A
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information
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monitoring
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CN114866643B (en
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黄碧华
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Xi'an Weihai Intelligent Security Technology Co ltd
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Beijing Wanhe Hengan Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M3/00Automatic or semi-automatic exchanges
    • H04M3/22Arrangements for supervision, monitoring or testing
    • H04M3/2218Call detail recording
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M3/00Automatic or semi-automatic exchanges
    • H04M3/22Arrangements for supervision, monitoring or testing
    • H04M3/36Statistical metering, e.g. recording occasions when traffic exceeds capacity of trunks

Abstract

The invention discloses a communication data skynet monitoring system based on big data, relating to the technical field of communication data monitoring systems; in order to facilitate the effective management and control of the communication information; the system comprises a central control module, an analysis module, a terminal ID monitoring module, a reference library module and a storage library module; the central control module comprises an ID processing submodule and a reading and writing submodule; the analysis module comprises a call information analysis submodule, a short message analysis submodule and a keyword extraction submodule. According to the invention, by arranging the central control module, the analysis module and the terminal ID monitoring module, a unique user ID can be formed based on the IP information of the user, the input and output communication information of the user ID is monitored, the analysis module analyzes the communication information acquired by the monitoring module, and the central control module performs management and control processing according to the analysis of the analysis module.

Description

Communication data skynet monitoring system based on big data
Technical Field
The invention relates to the technical field of communication data monitoring systems, in particular to a communication data skynet monitoring system based on big data.
Background
Communication, which means information communication and transmission between people or between people and nature through some behavior or medium, and refers to that two or more parties needing information can accurately and safely transmit the information from one party to another party by any method and any medium under the condition of not violating the respective will in a broad sense; with the development of society and the progress of technology, communication is also greatly improved, and communication between people is more frequent, however, the current communication monitoring performance is poor, so that communication contents cannot be well controlled, and various poor communication contents are not included, so that a communication data monitoring system is urgently needed.
Through search, the chinese patent with the application number CN98122553.5 discloses a data, image and voice integrated monitoring communication system, which relates to a multimedia communication technology in a centralized monitoring system with centralized network management and centralized image/voice monitoring capability. Aiming at the prior art that the data and image/voice subsystems are linearly added for networking, the invention provides an integrated monitoring communication device and a preprocessor, which are matched with a network management center, video/audio recording and playing devices and the like to form a data, image and voice integrated monitoring communication system. The monitoring communication system in the above patent has the following disadvantages: although certain use requirements can be met, the method cannot help reduce inferior communication contents and purify the communication environment.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a communication data skynet monitoring system based on big data.
In order to achieve the purpose, the invention adopts the following technical scheme:
a communication data skynet monitoring system based on big data comprises a central control module, an analysis module, a terminal ID monitoring module, a reference library module and a storage library module;
the central control module comprises an ID processing submodule and a reading and writing submodule;
the analysis module comprises a call information analysis sub-module, a short message analysis sub-module and a keyword extraction sub-module;
the terminal ID monitoring module comprises a call information monitoring submodule and a short message monitoring submodule;
the terminal ID monitoring module forms a unique user ID based on IP information of a user, monitors input and output communication information of the user ID, the analysis module analyzes the communication information acquired by the monitoring module, and the central control module performs management and control processing according to analysis of the analysis module.
Preferably: a short message monitoring submodule in the terminal ID monitoring module monitors a short message input and output by a user ID in real time, and a call information monitoring submodule in the terminal ID monitoring module monitors call information received or dialed by the user ID in real time; the specific content monitored in real time comprises the attribution, the location and the information transmission time point of the user ID.
Further: the reference library module comprises an abnormal information keyword submodule and a risk information keyword submodule; the abnormal information keyword submodule stores vocabularies related to \35881, abuse, insulting and public moral violation; the risk information keyword submodule stores words related to illegal crimes.
Further preferably: the repository module comprises an abnormal information storage submodule and a risk information storage submodule; counting units are arranged in the abnormal information storage submodule and the risk information storage submodule, and information input and output by a user ID is successfully compared and recorded in the abnormal information storage submodule and the risk information storage submodule after being compared based on the abnormal information keyword submodule and the risk information keyword submodule; the counting unit counts the number of times of successful comparison according to the user ID output information.
As a preferable aspect of the present invention: the monitoring mode of the system comprises call information monitoring and short message monitoring, wherein the call information monitoring specifically comprises the following steps:
s1: the user ID makes a call;
s2: the call information monitoring submodule monitors current call information to generate monitoring information;
s3: the conversation information analysis submodule analyzes according to the monitoring information and the historical monitoring information of the user ID, the step S4 is carried out when the abnormality is analyzed, and the step S6 is carried out when the abnormality is not analyzed;
s4: reading the historical abnormal record in the storage module by the read-write submodule according to the user ID, counting and accumulating through a counting unit, switching to a step S5 when the counting reaches a punishment value, and switching to a step S6 when the counting does not reach the punishment value;
s5: the ID processing sub-module punishs the user ID;
s6: after that, the flow returns to S1.
Further preferred as the invention: in the step S3, the criterion for analyzing whether there is an abnormality is:
the exception is one: the user IP information is overseas, the number of times of finishing the call is dialed inwards within 0.5h for more than 10 times, and the number of times of call objects with the same IP within 0.5h is counted for only 1 time;
exception two: the user IP information is indoor, the number of times of calling completion to indoor is more than 15 within 0.5h, and the number of times of calling object IP in 0.5h is the same and is only counted for 1 time.
As a still further scheme of the invention: in the steps S4 and S5, the counting and accumulating criteria of the counting unit are: when abnormal behavior exists, the cumulative number is 2; when abnormal two behaviors exist, the cumulative number is 1; the ID processing submodule carries out punishment standard on the call information as follows: the counting accumulation numerical value is stored in a rolling mode within 30 days, the range of the penalty value is 10-20, and when the accumulation numerical value within 30 days reaches or exceeds the penalty value, the communication is limited for 2-8 h.
On the basis of the scheme: the short message monitoring specifically comprises the following steps:
s11: the user ID sends a short message;
s12: the short message monitoring submodule monitors the current short message;
s13: the short message analysis submodule and the keyword extraction submodule extract keywords according to the communication information acquired by the monitoring module;
s14: comparing the extracted keywords with the contents in the abnormal information keyword submodule and the risk information keyword submodule; if the comparison is successful, the step S15 is carried out, and if the comparison is unsuccessful, the step S18 is carried out;
s15: the read-write submodule reads the history records in the abnormal information storage submodule and the risk information storage submodule according to the user ID;
s16: counting and accumulating by the counting unit, switching to the step S15 when the counting reaches a punishment value, and switching to the step S16 when the counting does not reach the punishment value;
s17: the ID processing sub-module punishs the user ID;
s18: after that, the flow returns to S11.
On the basis of the foregoing scheme, it is preferable that: in the steps S16 and S17, the counting and accumulating criteria of the counting unit are: when the comparison with the risk information keyword submodule is successful, the accumulated number is 2; when the comparison with the abnormal information keyword submodule is successful, the accumulated number is 1; when the comparison is successful, the accumulated number is 2; the ID processing submodule carries out punishment standard aiming at the short message as follows: the numerical value that the count is accumulated is 15 days of rolling storage, and penalty value range of setting is 6 ~ 10, when the numerical value that accumulates in 15 days reaches or surpasses penalty value, restricts communication 2 ~ 4h to it.
It is further preferable on the basis of the foregoing scheme that: the system also comprises a warning module, and the warning module sends a warning short message when the count of the corresponding user ID reaches or exceeds 50% of the penalty value.
On the basis of the foregoing scheme, it is preferable that: the specific calculation method of the punishment value is as follows:
setting the ID of the domestic user as X, setting the corresponding initial penalty value as CJ0, recording the call time information of calling to the domestic as A0 and A1 … … AN (wherein A0 indicates that no domestic call exists in 30 min), calling once in 30min, changing A0 into A1, and so on, using AN as the call time information of calling recorded in real time, and performing rolling recording on the call time information; when the first call ending interval is more than 30min, AN is changed into AN-1; when N is larger than 15, CJ0 is changed into CJ0+1, namely CJ1, CJ0, CJ1, … … and CJM in the analogizing mode, CJM is used as punishment value information recorded in real time, comprehensive punishment information of the domestic user ID is recorded as XCJMAN, and when M in XCJMAN is larger than 10, the XCJMAN is subjected to punishment;
setting the ID of the domestic user as Y, setting the corresponding initial penalty value as CJ0, recording the call time information of calling to the domestic as A0 and A1 … … AN (wherein A0 indicates that no domestic call exists in 30 min), calling once in 30min, changing A0 into A1, and so on, using AN as the call time information of calling recorded in real time, and performing rolling recording on the call time information; when the first call ending interval is more than 30min, AN is changed into AN-1; when N > 10, CJ0 becomes CJ0+2, namely CJ1 × 2, and so on CJ0, CJ1 × 2, … … and CJM × 2, namely CJ2M is penalty value information recorded in real time, comprehensive penalty information of the domestic user ID is recorded as YCJ2MAN, and when 2M in the YCJ2MAN is greater than 10, penalty is performed on the information.
The invention has the beneficial effects that:
1. according to the invention, by arranging the central control module, the analysis module and the terminal ID monitoring module, a unique user ID can be formed based on the IP information of the user, the input and output communication information of the user ID is monitored, the analysis module analyzes the communication information acquired by the monitoring module, and the central control module performs management and control processing according to the analysis of the analysis module.
2. The invention sets a reference library module and a storage library module; after the information input and output according to the user ID is compared based on the abnormal information keyword submodule and the risk information keyword submodule, the information successfully compared is recorded in the abnormal information storage submodule and the risk information storage submodule; the counting unit counts the number of times of successful comparison according to the user ID output information and finally punishs the number of times; it is beneficial to purifying the communication environment.
3. The invention can carry out targeted monitoring, analysis and processing according to the characteristics of the call information and the short message by setting different monitoring modes of call information monitoring and short message monitoring, thereby improving the reliability.
Drawings
Fig. 1 is a flow chart of call information monitoring in a big data-based communication data skynet monitoring system according to the present invention;
fig. 2 is a flow chart of short message monitoring in a big data based communication data skynet monitoring system according to the present invention.
Detailed Description
The technical solution of the present patent will be described in further detail with reference to the following embodiments.
Example 1:
a communication data skynet monitoring system based on big data comprises a central control module, an analysis module, a terminal ID monitoring module, a reference library module and a storage library module;
the central control module comprises an ID processing submodule and a reading and writing submodule;
the analysis module comprises a call information analysis sub-module, a short message analysis sub-module and a keyword extraction sub-module;
the terminal ID monitoring module comprises a call information monitoring submodule and a short message monitoring submodule;
the terminal ID monitoring module forms a unique user ID based on IP information of a user, monitors input and output communication information of the user ID, the analysis module analyzes the communication information acquired by the monitoring module, and the central control module performs management and control processing according to analysis of the analysis module.
For ease of monitoring; a short message monitoring submodule in the terminal ID monitoring module monitors a short message input and output by a user ID in real time, and a call information monitoring submodule in the terminal ID monitoring module monitors call information received or dialed by the user ID in real time; the specific content monitored in real time includes the attribution, location, information transmission time point and the like of the user ID.
In order to facilitate handling of illegal communication; the reference library module comprises an abnormal information keyword submodule and a risk information keyword submodule; the abnormal information keyword submodule stores vocabularies related to \35881, underutilization, insulting and the like which violate public morals; the risk information keyword submodule stores words related to illegal crimes.
In order to facilitate handling of illegal communication; the repository module comprises an abnormal information storage submodule and a risk information storage submodule; counting units are arranged in the abnormal information storage submodule and the risk information storage submodule, and information input and output by a user ID is successfully compared and recorded in the abnormal information storage submodule and the risk information storage submodule after being compared based on the abnormal information keyword submodule and the risk information keyword submodule; the counting unit counts the number of times of successful comparison according to the user ID output information.
For ease of monitoring; the monitoring mode of the system comprises call information monitoring and short message monitoring, wherein the call information monitoring specifically comprises the following steps:
s1: the user ID makes a call;
s2: the call information monitoring submodule monitors current call information to generate monitoring information;
s3: the conversation information analysis submodule analyzes according to the monitoring information and the historical monitoring information of the user ID, the step S4 is carried out when the abnormality is analyzed, and the step S6 is carried out when the abnormality is not analyzed;
s4: reading the historical abnormal record in the storage module by the read-write submodule according to the user ID, counting and accumulating through a counting unit, switching to a step S5 when the counting reaches a punishment value, and switching to a step S6 when the counting does not reach the punishment value;
s5: the ID processing sub-module punishs the user ID;
s6: after that, the flow returns to S1.
The management and control are convenient; in the step S3, the criterion for analyzing whether there is an abnormality is:
the exception is one: the user IP information is overseas, the number of times of finishing the call is dialed inwards within 0.5h for more than 10 times, and the number of times of call objects with the same IP within 0.5h is counted for only 1 time;
exception two: the user IP information is domestic, the number of times of finishing the call is dialed to the domestic within 0.5h is more than 15, and the number of times of the call object IP is the same within 0.5h is only counted for 1 time.
The management and control are convenient; in the steps S4 and S5, the counting and accumulating criteria of the counting unit are: when abnormal behavior exists, the cumulative number is 2; when abnormal two behaviors exist, the accumulated number is 1; the ID processing submodule carries out punishment standard on the call information as follows: the accumulated numerical value of the counting is stored in a rolling mode for 30 days, the penalty value setting range is 10-20, and when the accumulated numerical value reaches or exceeds the penalty value in 30 days, the communication is limited for 2-8 h.
Example 2:
a communication data skynet monitoring system based on big data, wherein the short message monitoring specifically comprises the following steps:
s11: the user ID sends a short message;
s12: the short message monitoring sub-module monitors the current short message;
s13: the short message analysis submodule and the keyword extraction submodule extract keywords according to the communication information acquired by the monitoring module;
s14: comparing the extracted keywords with the contents in the abnormal information keyword submodule and the risk information keyword submodule; if the comparison is successful, the step S15 is carried out, and if the comparison is unsuccessful, the step S18 is carried out;
s15: the read-write submodule reads the history records in the abnormal information storage submodule and the risk information storage submodule according to the user ID;
s16: counting and accumulating by the counting unit, switching to the step S15 when the counting reaches a punishment value, and switching to the step S16 when the counting does not reach the punishment value;
s17: the ID processing sub-module punishs the user ID;
s18: after that, the flow returns to S11.
The management and control are convenient; in the steps S16 and S17, the counting and accumulating criteria of the counting unit are: when the comparison with the risk information keyword submodule is successful, the accumulated number is 2; when the comparison with the abnormal information keyword submodule is successful, the accumulated number is 1; when the comparison is successful, the cumulative number is 2; the ID processing submodule carries out punishment standard aiming at the short message as follows: the numerical value that the count is accumulated is 15 days of rolling storage, and penalty value range of setting is 6 ~ 10, when the numerical value that accumulates in 15 days reaches or surpasses penalty value, restricts communication 2 ~ 4h to it.
To facilitate correction of violations; the system also comprises a warning module, and the warning module sends a warning short message when the count of the corresponding user ID reaches or exceeds 50% of the penalty value.
Specifically, the method comprises the following steps: setting the ID of the domestic user as X, setting the corresponding initial penalty value as CJ0, recording the call time information of calling to the domestic as A0 and A1 … … AN (wherein A0 indicates that no domestic call exists in 30 min), calling once in 30min, changing A0 into A1, and so on, using AN as the call time information of calling recorded in real time, and performing rolling recording on the call time information; when the first call ending interval is more than 30min, AN is changed into AN-1; when N is more than 15, CJ0 is changed into CJ0+1, namely CJ1, CJ0, CJ1, … … and CJM in the same way, CJM is used as penalty value information recorded in real time, comprehensive penalty information of domestic user ID is recorded as XCJMAN, and when M in XCJMAN is more than 10, penalty is carried out on XCJMAN;
setting the ID of the domestic user as Y, setting the corresponding initial penalty value as CJ0, recording the call time information of calling to the domestic as A0 and A1 … … AN (wherein A0 indicates that no domestic call exists in 30 min), calling once in 30min, changing A0 into A1, and so on, using AN as the call time information of calling recorded in real time, and performing rolling recording on the call time information; when the first call ending interval is more than 30min, AN is changed into AN-1; when N > 10, CJ0 becomes CJ0+2, namely CJ1 × 2, and so on CJ0, CJ1 × 2, … … and CJM × 2, namely CJ2M is penalty value information recorded in real time, comprehensive penalty information of the domestic user ID is recorded as YCJ2MAN, and when 2M in the YCJ2MAN is greater than 10, penalty is performed on the information.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.

Claims (10)

1. A communication data skynet monitoring system based on big data is characterized by comprising a central control module, an analysis module, a terminal ID monitoring module, a reference library module and a storage library module;
the central control module comprises an ID processing submodule and a reading and writing submodule;
the analysis module comprises a call information analysis sub-module, a short message analysis sub-module and a keyword extraction sub-module;
the terminal ID monitoring module comprises a call information monitoring submodule and a short message monitoring submodule;
the terminal ID monitoring module forms a unique user ID based on IP information of a user, monitors input and output communication information of the user ID, the analysis module analyzes the communication information acquired by the monitoring module, and the central control module performs management and control processing according to analysis of the analysis module.
2. The big-data-based communication data skynet monitoring system as claimed in claim 1, wherein the short message monitoring submodule in the terminal ID monitoring module monitors the input and output short messages of the user ID in real time, and the call information monitoring submodule in the terminal ID monitoring module monitors the call information received or dialed by the user ID in real time; the specific content monitored in real time comprises the attribution, the location and the information transmission time point of the user ID.
3. The big-data-based communication data skynet monitoring system as claimed in claim 2, wherein the reference library module comprises an abnormal information keyword sub-module and a risk information keyword sub-module; the abnormal information keyword submodule stores vocabularies related to \35881, abuse, insulting and public moral violation; the risk information keyword submodule stores words related to illegal crimes.
4. The big-data-based communication data skynet monitoring system as claimed in claim 3, wherein the storage library module comprises an abnormal information storage sub-module and a risk information storage sub-module; counting units are arranged in the abnormal information storage submodule and the risk information storage submodule, and information input and output by a user ID is successfully compared and recorded in the abnormal information storage submodule and the risk information storage submodule after being compared based on the abnormal information keyword submodule and the risk information keyword submodule; the counting unit counts the number of times of successful comparison according to the user ID output information.
5. The big data-based communication data skynet monitoring system as claimed in claim 4, wherein the monitoring modes of the system are call information monitoring and short message monitoring, wherein the call information monitoring specifically comprises the following steps:
s1: the user ID makes a call;
s2: the call information monitoring submodule monitors current call information to generate monitoring information;
s3: the conversation information analysis submodule analyzes according to the monitoring information and the historical monitoring information of the user ID, the step S4 is carried out when the abnormality is analyzed, and the step S6 is carried out when the abnormality is not analyzed;
s4: reading the historical abnormal record in the storage module by the read-write submodule according to the user ID, counting and accumulating through a counting unit, switching to a step S5 when the counting reaches a punishment value, and switching to a step S6 when the counting does not reach the punishment value;
s5: the ID processing sub-module punishs the user ID;
s6: after that, the flow returns to S1.
6. The big-data-based communication data skynet monitoring system as claimed in claim 5, wherein the step S3 is implemented by analyzing whether there is an abnormality according to the following criteria:
the exception is one: the user IP information is overseas, the number of times of finishing the call is dialed inwards within 0.5h for more than 10 times, and the number of times of call objects with the same IP within 0.5h is counted for only 1 time;
exception two: the user IP information is domestic, the number of times of finishing the call is dialed to the domestic within 0.5h is more than 15, and the number of times of the call object IP is the same within 0.5h is only counted for 1 time.
7. The big-data-based communication data skynet monitoring system as claimed in claim 6, wherein in the steps S4 and S5, the counting and accumulating criteria of the counting unit are: when abnormal behavior exists, the cumulative number is 2; when abnormal two behaviors exist, the cumulative number is 1; the ID processing submodule carries out punishment standard on the call information as follows: the accumulated numerical value of the counting is stored in a rolling mode for 30 days, the penalty value setting range is 10-20, and when the accumulated numerical value reaches or exceeds the penalty value in 30 days, the communication is limited for 2-8 h.
8. The big-data-based communication data skynet monitoring system as claimed in any one of claims 5 to 7, wherein the short message monitoring specifically comprises the steps of:
s11: the user ID sends a short message;
s12: the short message monitoring submodule monitors the current short message;
s13: the short message analysis sub-module and the keyword extraction sub-module extract keywords according to the communication information acquired by the monitoring module;
s14: comparing the extracted keywords with the contents in the abnormal information keyword submodule and the risk information keyword submodule; if the comparison is successful, the step S15 is carried out, and if the comparison is unsuccessful, the step S18 is carried out;
s15: the read-write submodule reads the history records in the abnormal information storage submodule and the risk information storage submodule according to the user ID;
s16: counting and accumulating by the counting unit, switching to the step S15 when the counting reaches a punishment value, and switching to the step S16 when the counting does not reach the punishment value;
s17: the ID processing sub-module punishs the user ID;
s18: after that, the flow returns to S11.
9. The big-data-based communication data skynet monitoring system as claimed in claim 8, wherein the counting and accumulating criteria in the steps S16 and S17 are: when the comparison with the risk information keyword submodule is successful, the accumulated number is 2; when the comparison with the abnormal information keyword submodule is successful, the accumulated number is 1; when the comparison is successful, the cumulative number is 2; the ID processing submodule carries out punishment standard aiming at the short message as follows: the counting accumulated numerical value is stored in a rolling mode for 15 days, the penalty value setting range is 6-10, and when the accumulated numerical value reaches or exceeds the penalty value within 15 days, the counting accumulated numerical value is subjected to limited communication for 2-4 h;
the system also comprises a warning module, and the warning module sends a warning short message when the count of the corresponding user ID reaches or exceeds 50% of the penalty value.
10. The communication data skynet monitoring system based on big data according to claim 9, characterized in that the specific calculation method of the penalty value is:
setting the ID of the domestic user as X, setting the corresponding initial penalty value as CJ0, recording the call time information of calling to the domestic as A0 and A1 … … AN (wherein A0 indicates that no domestic call exists in 30 min), calling once in 30min, changing A0 into A1, and so on, using AN as the call time information of calling recorded in real time, and performing rolling recording on the call time information; when the first call ending interval is more than 30min, AN is changed into AN-1; when N is more than 15, CJ0 is changed into CJ0+1, namely CJ1, CJ0, CJ1, … … and CJM in the same way, CJM is used as penalty value information recorded in real time, comprehensive penalty information of domestic user ID is recorded as XCJMAN, and when M in XCJMAN is more than 10, penalty is carried out on XCJMAN;
setting the ID of the domestic user as Y, setting the corresponding initial penalty value as CJ0, recording the call time information of calling to the domestic as A0 and A1 … … AN (wherein A0 indicates that no domestic call exists in 30 min), calling once in 30min, changing A0 into A1, and so on, using AN as the call time information of calling recorded in real time, and performing rolling recording on the call time information; when the first call ending interval is more than 30min, AN is changed into AN-1; when N > 10, CJ0 becomes CJ0+2, namely CJ1 × 2, and so on CJ0, CJ1 × 2, … … and CJM × 2, namely CJ2M is penalty value information recorded in real time, comprehensive penalty information of the domestic user ID is recorded as YCJ2MAN, and when 2M in the YCJ2MAN is greater than 10, penalty is performed on the information.
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