CN117098114A - Mobile phone call management operating system - Google Patents

Mobile phone call management operating system Download PDF

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Publication number
CN117098114A
CN117098114A CN202311068183.6A CN202311068183A CN117098114A CN 117098114 A CN117098114 A CN 117098114A CN 202311068183 A CN202311068183 A CN 202311068183A CN 117098114 A CN117098114 A CN 117098114A
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China
Prior art keywords
communication
history
call
historical
user
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Inventor
姜友瑶
何阿威
姚铭池
伍冠壮
王文鹏
谢光亚
肖敏华
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Hunan Xincheng Smart Health Pharmacy Chain Co ltd
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Hunan Xincheng Smart Health Pharmacy Chain Co ltd
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Priority to CN202311068183.6A priority Critical patent/CN117098114A/en
Publication of CN117098114A publication Critical patent/CN117098114A/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W8/00—Network data management
    • H04W8/18—Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72484—User interfaces specially adapted for cordless or mobile telephones wherein functions are triggered by incoming communication events
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Abstract

The invention relates to the technical field of call management operation, in particular to a mobile phone call management operation system which comprises a historical information extraction module, a communication characteristic analysis module, a user information extraction module, a user communication analysis module, a user communication judgment module, a user early warning terminal and an operator database.

Description

Mobile phone call management operating system
Technical Field
The invention belongs to the technical field of call management operation, and relates to a mobile phone call management operation system.
Technical Field
In recent years, big data of various industries show blowout type growth, and a communication operator has the unique advantages of grasping massive communication data of users, and the communication service industry reaches unprecedented scale in terms of income and population coverage rate, while at the same time, the operator still commonly has financial crisis caused by customer credit loss, so that how to scientifically and effectively manage the communication user, and the method is a key point of reducing marketing cost, reducing arrearage and bad account risk and improving user holding quantity and satisfaction of the communication operator.
The current analysis of user data more surrounds the characteristics of basic information, bill amount, performance, network access time length, call times and the like of the user, so far the disclosure effect of the user call data on the call credit of the user is not completely and deeply analyzed, the communication user cannot be scientifically and effectively managed, and certain defects exist, which are specifically embodied in the following layers:
(1) At present, communication states cannot be perceived from multiple angles and multiple levels, property loss caused by communication risks cannot be effectively reduced, meanwhile, the operation efficiency of enterprises can be influenced, the favor of customers cannot be effectively improved, the professionality and the accuracy of risk prediction cannot be improved, and unpredictable losses are caused;
(2) At present, violation pre-judgment cannot be carried out on each communication user, so that accurate management cannot be effectively carried out on each communication user, meanwhile, the workload of enterprise staff cannot be reduced, and the problems of information fault and workload increase cannot be effectively reduced.
Disclosure of Invention
In view of the above problems in the prior art, the present invention provides a mobile phone call management operating system, which is used for solving the above technical problems.
In order to achieve the above and other objects, the present invention adopts the following technical scheme: the invention provides a mobile phone call management operation system, which comprises a historical information extraction module, a communication characteristic analysis module, a user information extraction module, a user communication analysis module, a user communication judgment module, a user early warning terminal and an operator database;
the history information extraction module is used for setting a history monitoring time period, so that each history day in the history monitoring time period is obtained and marked as each monitoring history day, and communication information of each type of history communication personnel corresponding to each monitoring history day is extracted from an operator database, wherein each type of history communication personnel comprises a history daemon user and a history default user;
the communication characteristic analysis module is used for analyzing and obtaining various communication violation characteristics of the history violation user corresponding to the monitoring history days according to the communication information of various history communicators corresponding to the monitoring history days;
the user information extraction module is used for setting a monitoring time period, numbering all communication users according to a preset sequence, and further screening call information of all communication users corresponding to all monitoring days in the monitoring time period from an operator database;
the user communication analysis module is used for analyzing and obtaining communication violation coefficients of each communication user in a corresponding monitoring time period according to each communication violation characteristic of the history date corresponding to the history violation user;
the user communication judging module is used for judging and screening all early warning communication users;
the user early warning terminal is used for acquiring numbers corresponding to all early warning communication users and further carrying out early warning processing;
the operator database is used for storing call activity permission difference values and call regularity permission difference values, storing call duration intervals corresponding to reference call activity threshold coefficient intervals and reference call levels, storing communication information of various historical communication personnel corresponding to various monitoring history days, and storing call information corresponding to various monitoring days in a monitoring time period corresponding to various communication users.
As a preferred solution, the communication information of each historical communication personnel category corresponding to each monitoring historical day includes a total number of calls, a call date of each call, a call time, a call duration and a call object number.
Preferably, the communication characteristic analysis module comprises an activity analysis subunit, a diversity analysis subunit and a regularity analysis subunit.
As a preferred scheme, the activity analysis subunit analyzes and obtains each communication violation characteristic of the history violation user corresponding to the monitoring history day, and the specific analysis process is as follows:
(4-1) respectively extracting the total number of calls corresponding to each monitoring history day and the number of call objects of each call from each type of history communication personnel according to the communication information corresponding to each monitoring history day of each type of history communication personnel;
(4-2) comparing the call dates of the calls of the various kinds of historical communication personnel corresponding to the monitoring history days to obtain the total call days of the history daemon users and the history violating users corresponding to the history monitoring time period, and marking the total call days asAnd->Wherein r1 represents a number corresponding to each history trusted user, r1=11, 21,..p1, r2 represents a number corresponding to each history offending user, r2=12, 22,..p2;
(4-3) obtaining each monitoring history day, further obtaining the total number M' of history days in the history monitoring time period from the obtained monitoring history days, and extracting the communication of each call of each history daemon user corresponding to each monitoring history day according to the communication information of each type of history communication personnel corresponding to each monitoring history dayThe number of the conversation object is compared with each other to obtain the total number of conversation objects in the corresponding historical monitoring time period of each historical daemon user, and the total number is marked asAccording to the analysis formulaAnalyzing and obtaining the conversation activity coefficient alpha in the corresponding historical monitoring time period of each historical daemon user r1 Wherein β1 and β2 are respectively represented as weight factors corresponding to the number of call days and the number of daily calls, and β1+β2=1, +.>The total number of calls of the (r 1) th historical daemon user corresponding to the (j) th monitoring history day is represented, j represents the number corresponding to each monitoring history day, j=1, 2,..w;
according to the same way of calculating the call activity coefficient in the corresponding historical monitoring time period of each historical credit user, the call activity coefficient alpha in the corresponding historical monitoring time period of each historical default user is calculated r2 ；
(4-4) passing throughCalculating to obtain a conversation activity threshold coefficient χ of a historical communication person in a corresponding historical monitoring time period, wherein Δα represents a conversation activity permission difference value stored in an operator database, p1 represents the total number of historical daemon users, and p2 represents the total number of historical violating users;
and meanwhile, comparing the conversation activity threshold coefficient in the historical monitoring time period corresponding to the historical communication personnel with a reference conversation activity threshold coefficient interval stored in an operator database, if the conversation activity threshold coefficient in the historical monitoring time period corresponding to the historical communication personnel does not exist in the reference conversation activity threshold coefficient interval, respectively recording the conversation days, the daily average conversation quantity and the total number of conversation objects as communication violation characteristics of the historical monitoring days corresponding to the historical violating users, otherwise, marking the communication violation characteristics not.
As a preferred solution, the diversity analysis subunit analyzes and obtains each communication violation feature of the history date corresponding to the monitoring history date by the history violating user, and the specific analysis process is as follows:
(5-1) respectively extracting the call duration of each call of each type of history communication personnel corresponding to each monitoring history day according to the communication information of each type of history communication personnel corresponding to each monitoring history day;
(5-2) extracting a call duration interval corresponding to each reference call level from an operator database, so as to obtain call levels of each call in each monitoring history day corresponding to each history daemon user and each history violating user, and carrying out integration statistics and mutual comparison on the call levels of each call in each monitoring history day corresponding to each history daemon user and each history violating user, thereby obtaining a middle value of the call level in the history monitoring time period corresponding to the history daemon user and the history violating user, and simultaneously respectively representing the middle value as the reference call level in the history monitoring time period corresponding to the history daemon user and the history violating user;
and (5-3) comparing the reference call level in the historical monitoring time period corresponding to the historical credit subscriber with the historical violating subscriber, if the reference call level in the historical monitoring time period corresponding to the historical credit subscriber is inconsistent with the reference call level in the historical monitoring time period corresponding to the historical violating subscriber, marking the call duration as the communication violating characteristic of the historical violating subscriber corresponding to the monitoring historical day, otherwise, marking the communication violating characteristic not.
As a preferred scheme, the regularity analysis subunit analyzes and obtains each communication violation characteristic of the history date corresponding to the history date of the history violation user, and the specific analysis process is as follows:
(6-1) extracting the total number of calls, the call date of each call and the call object number of each call corresponding to each monitoring history day from each type of history communication personnel according to the communication information of each monitoring history day, respectively, and screening the total number of calls corresponding to each call date of each history daemon user according to the total number of callsTotal number of calls ++for each call date corresponding to each history offending user>t represents a number corresponding to each call date, t=1, 2,..f;
(6-2) according to the communication information of each type of history communication personnel corresponding to each monitoring history day, respectively extracting the conversation time of each history daemon user and each history offending user corresponding to each conversation in each monitoring history day, respectively marking asAnd->d represents the number corresponding to each call, d=1, 2,..z;
(6-3) passing throughCalculating and obtaining a conversation rule coefficient delta in a history monitoring time period corresponding to each history daemon user r1 Wherein epsilon 1 and epsilon 2 respectively represent weight factors corresponding to the variance and the concentration of the planned daily call times, and f, z and w respectively represent the call date, the call times and the total number of monitoring history days;
according to the conversation rule coefficient in the corresponding historical monitoring time period of each historical information user, the conversation rule coefficient delta in the corresponding historical monitoring time period of each historical default user is calculated and obtained r2 ；
(6-4) passing throughCalculating to obtain a conversation rule threshold coefficient phi in a historical monitoring time period corresponding to a historical communication person, wherein delta represents a conversation rule permission difference value stored in an operator database;
and meanwhile, comparing the conversation rule threshold coefficient in the historical monitoring time period corresponding to the historical communication personnel with the formulated reference conversation rule threshold coefficient interval, if the conversation rule threshold coefficient in the historical monitoring time period corresponding to the historical communication personnel does not exist in the reference conversation rule threshold coefficient interval, respectively marking the daily conversation frequency variance and the conversation concentration as the communication violation characteristics of the historical violation user corresponding to the monitoring historical day, otherwise, marking the communication violation characteristics not.
Preferably, the analysis obtains the communication default coefficient of each communication user in the corresponding monitoring time period, and the specific analysis process is as follows:
(7-1) extracting the total number of calls, the call date, the call time and the call object number of each monitoring day in the monitoring time period corresponding to each communication user according to the call information of each monitoring day in the monitoring time period corresponding to each communication user;
(7-2) according to the calculation mode of the call activity coefficient and the call rule coefficient in the corresponding historical monitoring time period of each historical daemon user, the call activity coefficient and the call rule coefficient in the corresponding monitoring time period of each communication user are calculated in the same way and respectively recorded asAnd gamma h Wherein h represents a number corresponding to each communication user, h=1, 2..y;
(7-3) obtaining the reference call level eta of each communication user corresponding to the monitoring time period according to the analysis mode and the same analysis of the reference call level of the historical monitoring time period corresponding to the historical daemon user h ；
(7-4) judging the model based on the communicationAnalyzing to obtain the communication default coefficient mu of each communication user in the corresponding monitoring time period h Wherein eta 1 And representing the reference call level in the history monitoring time period corresponding to the history default user.
As a preferred scheme, the evaluation and screening of each early warning communication user is carried out, and the specific screening process is as follows:
and comparing the communication default coefficient in the corresponding monitoring time period of each communication user with the set communication permission default peak value coefficient of the user, and marking the communication user as an early warning communication user if the communication default coefficient in the corresponding monitoring time period of a certain communication user is larger than the communication permission default peak value coefficient of the user, so that each early warning communication user is obtained by screening in an analysis mode.
As described above, the mobile phone call management operating system provided by the invention has at least the following beneficial effects: (1) According to the mobile phone call management operating system provided by the invention, the communication information of various historical communication staff corresponding to each monitoring historical day is obtained, each communication violation characteristic of the historical violation user corresponding to the monitoring historical day is obtained through analysis, and the communication violation coefficient of each communication user in the corresponding monitoring time period is analyzed, so that each early warning communication user is selected through judgment and screening, early warning operation is carried out, the problem that certain limitation exists on communication management at present is effectively solved, property loss caused by communication risk is effectively reduced, meanwhile, the operation efficiency of enterprises is also avoided being influenced, the favouring degree of clients is also effectively improved, the professionality and the accuracy of risk prediction are improved, and unpredictable loss is further avoided.
(2) According to the embodiment of the invention, the violation pre-judgment is carried out by each communication user, so that the accurate management is effectively carried out for each communication user, and meanwhile, the workload of enterprise staff is reduced, and the problems of information fault and workload increase are effectively reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the connection of the modules of the system of the present invention.
Detailed Description
The foregoing is merely illustrative of the principles of the invention, and various modifications, additions and substitutions for those skilled in the art will be apparent to those having ordinary skill in the art without departing from the principles of the invention or from the scope of the invention as defined in the accompanying claims.
Referring to fig. 1, a mobile phone call management operation system includes a history information extraction module, a communication feature analysis module, a user information extraction module, a user communication analysis module, a user communication judgment module, a user early warning terminal and an operator database;
the historical information extraction module is connected with the communication characteristic analysis module, the user communication analysis module is connected with the user information extraction module and the user communication judgment module, the user early warning terminal is connected with the user communication judgment module, and the operator database is connected with the communication characteristic analysis module.
The history information extraction module is used for setting a history monitoring time period, so that each history day in the history monitoring time period is obtained and marked as each monitoring history day, and communication information of each type of history communication personnel corresponding to each monitoring history day is extracted from an operator database, wherein each type of history communication personnel comprises a history daemon user and a history default user;
in one possible design, the communication information corresponding to each monitoring history day includes a total number of calls, a call date of each call, a call time, a call duration, and a call object number.
The communication characteristic analysis module is used for analyzing and obtaining various communication violation characteristics of the history violation user corresponding to the monitoring history days according to the communication information of various history communicators corresponding to the monitoring history days;
in one possible design, the communication profile analysis module includes an activity analysis subunit, a diversity analysis subunit, and a regularity analysis subunit.
In one possible design, the activity analysis subunit analyzes each communication violation feature of the history violation user corresponding to the monitored history day, and the specific analysis process is as follows:
(4-1) respectively extracting the total number of calls corresponding to each monitoring history day and the number of call objects of each call from each type of history communication personnel according to the communication information corresponding to each monitoring history day of each type of history communication personnel;
(4-2) comparing the call dates of the calls of the various kinds of historical communication personnel corresponding to the monitoring history days to obtain the total call days of the history daemon users and the history violating users corresponding to the history monitoring time period, and marking the total call days asAnd->Wherein r1 represents a number corresponding to each history trusted user, r1=11, 21,..p1, r2 represents a number corresponding to each history offending user, r2=12, 22,..p2;
(4-3) obtaining each monitoring history day, further obtaining the total number M' of history days in the history monitoring time period from the obtained monitoring history days, extracting the call object numbers of each call of each history daemon corresponding to each monitoring history day from the obtained communication information of each type of history communicator corresponding to each monitoring history day, comparing the call object numbers with each other, thereby obtaining the total number of call objects of each history daemon corresponding to the history monitoring time period, and marking the call object numbers asAccording to the analysis formulaAnalyzing and obtaining the conversation activity coefficient alpha in the corresponding historical monitoring time period of each historical daemon user r1 Wherein β1 and β2 are respectively represented as weight factors corresponding to the number of call days and the number of daily calls, and β1+β2=1, +.>The total number of calls of the (r 1) th historical daemon user corresponding to the (j) th monitoring history day is represented, j represents the number corresponding to each monitoring history day, j=1, 2,..w;
according to the same way of calculating the call activity coefficient in the corresponding historical monitoring time period of each historical credit user, the call activity coefficient alpha in the corresponding historical monitoring time period of each historical default user is calculated r2 ；
The conversation activity coefficient alpha of each history violation user in the corresponding history monitoring time period r2 The calculation process of (2) is as follows:
according to the communication information of each type of history communication personnel corresponding to each monitoring history day, the number of the call object of each call of each history violating user corresponding to each monitoring history day is extracted from the communication information, and is compared with each other, so as to obtain the total number of the call objects in the history monitoring time period corresponding to each history violating user, and the total number is marked asAccording to the analytical formula->Analyzing and obtaining the conversation activity coefficient alpha in the history monitoring time period corresponding to each history violation user r2 Wherein->Indicating the total number of calls of the r2 th historical violation user corresponding to the j monitoring historical days;
(4-4) passing throughCalculating to obtain a conversation activity threshold coefficient χ of a historical communication person in a corresponding historical monitoring time period, wherein Δα represents a conversation activity permission difference value stored in an operator database, p1 represents the total number of historical daemon users, and p2 represents the total number of historical violating users;
and meanwhile, comparing the conversation activity threshold coefficient in the historical monitoring time period corresponding to the historical communication personnel with a reference conversation activity threshold coefficient interval stored in an operator database, if the conversation activity threshold coefficient in the historical monitoring time period corresponding to the historical communication personnel does not exist in the reference conversation activity threshold coefficient interval, respectively recording the conversation days, the daily average conversation quantity and the total number of conversation objects as communication violation characteristics of the historical monitoring days corresponding to the historical violating users, otherwise, marking the communication violation characteristics not.
In one possible design, the diversity analysis subunit analyzes each communication violation feature of the history violation user corresponding to the monitoring history day, and the specific analysis process is as follows:
(5-1) respectively extracting the call duration of each call of each type of history communication personnel corresponding to each monitoring history day according to the communication information of each type of history communication personnel corresponding to each monitoring history day;
(5-2) extracting a call duration interval corresponding to each reference call level from an operator database, so as to obtain call levels of each call in each monitoring history day corresponding to each history daemon user and each history violating user, and carrying out integration statistics and mutual comparison on the call levels of each call in each monitoring history day corresponding to each history daemon user and each history violating user, thereby obtaining a middle value of the call level in the history monitoring time period corresponding to the history daemon user and the history violating user, and simultaneously respectively representing the middle value as the reference call level in the history monitoring time period corresponding to the history daemon user and the history violating user;
and (5-3) comparing the reference call level in the historical monitoring time period corresponding to the historical credit subscriber with the historical violating subscriber, if the reference call level in the historical monitoring time period corresponding to the historical credit subscriber is inconsistent with the reference call level in the historical monitoring time period corresponding to the historical violating subscriber, marking the call duration as the communication violating characteristic of the historical violating subscriber corresponding to the monitoring historical day, otherwise, marking the communication violating characteristic not.
In one possible design, the regularity analysis subunit analyzes each communication violation feature of the history violation user corresponding to the monitored history day, and the specific analysis process is as follows:
(6-1) extracting the total number of calls, the call date of each call and the call object number of each call corresponding to each monitoring history day from each type of history communication personnel according to the communication information of each monitoring history day, respectively, and screening the total number of calls corresponding to each call date of each history daemon user according to the total number of callsTotal number of calls ++for each call date corresponding to each history offending user>t represents a number corresponding to each call date, t=1, 2,..f;
(6-2) according to the communication information of each type of history communication personnel corresponding to each monitoring history day, respectively extracting the conversation time of each history daemon user and each history offending user corresponding to each conversation in each monitoring history day, respectively marking asAnd->d represents the number corresponding to each call, d=1, 2,..z;
(6-3) passing throughCalculating a conversation rule coefficient delta r1 in a historical monitoring time period corresponding to each historical daemon user, wherein epsilon 1 and epsilon 2 respectively represent a planned daily conversation frequency variance and a weight factor corresponding to conversation concentration, and f, z and w respectively represent conversation dates, conversation times and total number of monitoring historical days;
according to the conversation rule coefficient in the corresponding historical monitoring time period of each historical information user, the conversation rule coefficient delta in the corresponding historical monitoring time period of each historical default user is calculated and obtained r2 ；
The history violationsConversation rule coefficient delta in user corresponding historical monitoring time period r2 The specific calculation process is as follows:
by passing through
Calculating and obtaining a conversation rule coefficient delta in a history monitoring time period corresponding to each history default user r2 ；
(6-4) passing throughCalculating to obtain a conversation rule threshold coefficient phi in a historical monitoring time period corresponding to a historical communication person, wherein delta represents a conversation rule permission difference value stored in an operator database;
and meanwhile, comparing the conversation rule threshold coefficient in the historical monitoring time period corresponding to the historical communication personnel with the formulated reference conversation rule threshold coefficient interval, if the conversation rule threshold coefficient in the historical monitoring time period corresponding to the historical communication personnel does not exist in the reference conversation rule threshold coefficient interval, respectively marking the daily conversation frequency variance and the conversation concentration as the communication violation characteristics of the historical violation user corresponding to the monitoring historical day, otherwise, marking the communication violation characteristics not.
The user information extraction module is used for setting a monitoring time period, numbering all communication users according to a preset sequence, and further screening call information of all the communication users corresponding to all the monitoring days in the monitoring time period from an operator database, wherein the call information of all the communication users corresponding to all the monitoring days in the monitoring time period comprises the total number of calls, the call date of all the calls, the call time, the call duration and the call object number;
the user communication analysis module is used for analyzing and obtaining communication violation coefficients of each communication user in a corresponding monitoring time period according to each communication violation characteristic of the history date corresponding to the history violation user;
in one possible design, the analysis obtains the communication default coefficient of each communication user in the corresponding monitoring time period, and the specific analysis process is as follows:
(7-1) extracting the total number of calls, the call date, the call time and the call object number of each monitoring day in the monitoring time period corresponding to each communication user according to the call information of each monitoring day in the monitoring time period corresponding to each communication user;
(7-2) according to the calculation mode of the call activity coefficient and the call rule coefficient in the corresponding historical monitoring time period of each historical daemon user, the call activity coefficient and the call rule coefficient in the corresponding monitoring time period of each communication user are calculated in the same way and respectively recorded asAnd gamma h Wherein h represents a number corresponding to each communication user, h=1, 2..y;
(7-3) obtaining the reference call level eta of each communication user corresponding to the monitoring time period according to the analysis mode and the same analysis of the reference call level of the historical monitoring time period corresponding to the historical daemon user h ；
(7-4) judging the model based on the communicationAnalyzing to obtain the communication default coefficient mu of each communication user in the corresponding monitoring time period h Wherein eta 1 And representing the reference call level in the history monitoring time period corresponding to the history default user.
According to the embodiment of the invention, the violation pre-judgment is carried out by each communication user, so that the accurate management is effectively carried out for each communication user, and meanwhile, the workload of enterprise staff is reduced, and the problems of information fault and workload increase are effectively reduced.
The user communication judging module is used for judging and screening all early warning communication users;
in one possible design, the evaluation screens each early warning communication user, and the specific screening process is as follows:
and comparing the communication default coefficient in the corresponding monitoring time period of each communication user with the set communication permission default peak value coefficient of the user, and marking the communication user as an early warning communication user if the communication default coefficient in the corresponding monitoring time period of a certain communication user is larger than the communication permission default peak value coefficient of the user, so that each early warning communication user is obtained by screening in an analysis mode.
The user early warning terminal is used for acquiring numbers corresponding to all early warning communication users and further carrying out early warning processing.
The operator database is used for storing call activity permission difference values and call regularity permission difference values, storing call duration intervals corresponding to reference call activity threshold coefficient intervals and reference call levels, storing communication information of various historical communication personnel corresponding to various monitoring history days, and storing call information corresponding to various monitoring days in a monitoring time period corresponding to various communication users.
The mobile phone call management operating system provided by the invention analyzes and obtains the communication violation characteristics of the history violation users corresponding to the monitoring history days by acquiring the communication information of the history communicators corresponding to the monitoring history days, analyzes the communication violation coefficients of the communication users corresponding to the monitoring time periods, judges and screens out the early warning communication users, performs early warning operation, effectively solves the problem that certain limitation exists on communication management at present, effectively reduces property loss caused by communication risks, simultaneously avoids influencing the operation efficiency of enterprises, effectively improves the favor degree of customers, improves the professionality and accuracy of risk prediction, and further avoids unpredictable loss
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar thereto, by those skilled in the art, without departing from the principles of the invention or beyond the scope of the appended claims.

Claims (9)

1. A mobile phone call management operating system, the system comprising:
the historical information extraction module is used for setting a historical monitoring time period, so that each historical day in the historical monitoring time period is obtained and marked as each monitoring historical day, and communication information of each type of historical communication personnel corresponding to each monitoring historical day is extracted from an operator database, wherein each type of historical communication personnel comprises a historical daemon user and a historical default user;
the communication characteristic analysis module is used for analyzing and obtaining various communication violation characteristics of the history violation user corresponding to the monitoring history day according to the communication information of various history communication personnel corresponding to the monitoring history day;
the user information extraction module is used for setting a monitoring time period, numbering all communication users according to a preset sequence, and further screening call information of all communication users corresponding to all monitoring days in the monitoring time period from an operator database;
the user communication analysis module is used for analyzing and obtaining the communication violation coefficients of the communication users in the corresponding monitoring time periods according to the communication violation characteristics of the history days corresponding to the history violation users;
the user communication judging module is used for judging and screening all early warning communication users;
and the user early warning terminal is used for acquiring the numbers corresponding to all the early warning communication users and further carrying out early warning processing.
2. The system of claim 1, wherein the communication information of each historical communication person type corresponding to each monitoring historical day includes a total number of calls, a call date, a call time, a call duration, and a call object number of each call.
3. The system of claim 1, wherein the communication profile analysis module comprises an activity analysis subunit, a diversity analysis subunit, and a regularity analysis subunit.
4. The mobile phone call management operating system according to claim 3, wherein the activity analysis subunit analyzes and obtains each communication violation characteristic of the history date corresponding to the monitoring history date of the history violating user, and the specific analysis process is as follows:
(4-1) respectively extracting the total number of calls corresponding to each monitoring history day and the number of call objects of each call from each type of history communication personnel according to the communication information corresponding to each monitoring history day of each type of history communication personnel;
(4-2) comparing the call dates of the calls of the various kinds of historical communication personnel corresponding to the monitoring history days to obtain the total call days of the history daemon users and the history violating users corresponding to the history monitoring time period, and marking the total call days asAnd->Wherein r1 represents a number corresponding to each history trusted user, r1=11, 21,..p1, r2 represents a number corresponding to each history offending user, r2=12, 22,..p2;
(4-3) obtaining each monitoring history day, further obtaining the total number M' of history days in the history monitoring time period from the obtained monitoring history days, extracting the call object numbers of each call of each history daemon corresponding to each monitoring history day from the obtained communication information of each type of history communicator corresponding to each monitoring history day, comparing the call object numbers with each other, thereby obtaining the total number of call objects of each history daemon corresponding to the history monitoring time period, and marking the call object numbers asAccording to the analysis formulaAnalyzing and obtaining a conversation activity coefficient alpha r1 in a corresponding historical monitoring time period of each historical daemon user, wherein beta1.β2 is respectively expressed as a weight factor corresponding to the number of call days and the number of daily calls, and β1+β2=1, +.>The total number of calls of the (r 1) th historical daemon user corresponding to the (j) th monitoring history day is represented, j represents the number corresponding to each monitoring history day, j=1, 2,..w;
according to the same way as the calculation mode of the call activity coefficient in the corresponding historical monitoring time period of each historical credit user, the call activity coefficient alpha r2 in the corresponding historical monitoring time period of each historical default user is calculated;
(4-4) passing throughCalculating to obtain a conversation activity threshold coefficient χ of a historical communication person in a corresponding historical monitoring time period, wherein Δα represents a conversation activity permission difference value stored in an operator database, p1 represents the total number of historical daemon users, and p2 represents the total number of historical violating users;
and meanwhile, comparing the conversation activity threshold coefficient in the historical monitoring time period corresponding to the historical communication personnel with a reference conversation activity threshold coefficient interval stored in an operator database, if the conversation activity threshold coefficient in the historical monitoring time period corresponding to the historical communication personnel does not exist in the reference conversation activity threshold coefficient interval, respectively recording the conversation days, the daily average conversation quantity and the total number of conversation objects as communication violation characteristics of the historical monitoring days corresponding to the historical violating users, otherwise, marking the communication violation characteristics not.
5. The system of claim 4, wherein the diversity analysis subunit analyzes and obtains each communication violation characteristic of the history date corresponding to the history date of monitoring by the history violating user, and the specific analysis process is as follows:
(5-1) respectively extracting the call duration of each call of each type of history communication personnel corresponding to each monitoring history day according to the communication information of each type of history communication personnel corresponding to each monitoring history day;
(5-2) extracting a call duration interval corresponding to each reference call level from an operator database, so as to obtain call levels of each call in each monitoring history day corresponding to each history daemon user and each history violating user, and carrying out integration statistics and mutual comparison on the call levels of each call in each monitoring history day corresponding to each history daemon user and each history violating user, thereby obtaining a middle value of the call level in the history monitoring time period corresponding to the history daemon user and the history violating user, and simultaneously respectively representing the middle value as the reference call level in the history monitoring time period corresponding to the history daemon user and the history violating user;
and (5-3) comparing the reference call level in the historical monitoring time period corresponding to the historical credit subscriber with the historical violating subscriber, if the reference call level in the historical monitoring time period corresponding to the historical credit subscriber is inconsistent with the reference call level in the historical monitoring time period corresponding to the historical violating subscriber, marking the call duration as the communication violating characteristic of the historical violating subscriber corresponding to the monitoring historical day, otherwise, marking the communication violating characteristic not.
6. The mobile phone call management operation system according to claim 5, wherein the regularity analysis subunit analyzes and obtains each communication violation characteristic of the history date corresponding to the history date of the history violation user, and the specific analysis process is as follows:
(6-1) extracting the total number of calls, the call date of each call and the call object number of each call corresponding to each monitoring history day from each type of history communication personnel according to the communication information of each monitoring history day, respectively, and screening the total number of calls corresponding to each call date of each history daemon user according to the total number of callsTotal number of calls ++for each call date corresponding to each history offending user>t represents each callThe number corresponding to the date, t=1, 2,..f;
(6-2) according to the communication information of each type of history communication personnel corresponding to each monitoring history day, respectively extracting the conversation time of each history daemon user and each history offending user corresponding to each conversation in each monitoring history day, respectively marking asAnd->d represents the number corresponding to each call, d=1, 2,..z;
(6-3) passing throughCalculating a conversation rule coefficient delta r1 in a historical monitoring time period corresponding to each historical daemon user, wherein epsilon 1 and epsilon 2 respectively represent a planned daily conversation frequency variance and a weight factor corresponding to conversation concentration, and f, z and w respectively represent conversation dates, conversation times and total number of monitoring historical days;
according to the conversation rule coefficient in the corresponding historical monitoring time period of each historical information user, a conversation rule coefficient delta r2 in the corresponding historical monitoring time period of each historical information user is calculated in a same way;
(6-4) passing throughCalculating to obtain a conversation rule threshold coefficient phi in a historical monitoring time period corresponding to a historical communication person, wherein delta represents a conversation rule permission difference value stored in an operator database;
and meanwhile, comparing the conversation rule threshold coefficient in the historical monitoring time period corresponding to the historical communication personnel with the formulated reference conversation rule threshold coefficient interval, if the conversation rule threshold coefficient in the historical monitoring time period corresponding to the historical communication personnel does not exist in the reference conversation rule threshold coefficient interval, respectively marking the daily conversation frequency variance and the conversation concentration as the communication violation characteristics of the historical violation user corresponding to the monitoring historical day, otherwise, marking the communication violation characteristics not.
7. The system of claim 1, wherein the analysis obtains a communication default coefficient in a monitoring time period corresponding to each communication user, and the specific analysis process is as follows:
(7-1) extracting the total number of calls, the call date, the call time and the call object number of each monitoring day in the monitoring time period corresponding to each communication user according to the call information of each monitoring day in the monitoring time period corresponding to each communication user;
(7-2) according to the calculation mode of the call activity coefficient and the call rule coefficient in the corresponding historical monitoring time period of each historical daemon user, the call activity coefficient and the call rule coefficient in the corresponding monitoring time period of each communication user are calculated in the same way and respectively recorded asAnd γh, wherein h represents a number corresponding to each communication user, h=1, 2..y;
(7-3) obtaining a reference call grade eta h of each communication user in the corresponding monitoring time period according to the analysis mode of the reference call grade in the corresponding historical monitoring time period of the historical daemon user in a similar way;
(7-4) judging the model based on the communicationAnalyzing to obtain the communication default coefficient mu of each communication user in the corresponding monitoring time period h Wherein eta 1 And representing the reference call level in the history monitoring time period corresponding to the history default user.
8. The mobile phone call management operation system according to claim 7, wherein the evaluation screens each early warning communication user, and the specific screening process is as follows:
and comparing the communication default coefficient in the corresponding monitoring time period of each communication user with the set communication permission default peak value coefficient of the user, and marking the communication user as an early warning communication user if the communication default coefficient in the corresponding monitoring time period of a certain communication user is larger than the communication permission default peak value coefficient of the user, so that each early warning communication user is obtained by screening in an analysis mode.
9. The mobile phone call management operation system according to claim 1, further comprising an operator database for storing call activity permission differences and call regularity permission differences, for storing reference call activity threshold coefficient intervals and call duration intervals corresponding to each reference call level, for storing communication information corresponding to each monitoring history day for each type of history communication person, and for storing call information corresponding to each monitoring day in each monitoring period corresponding to each communication user.
CN202311068183.6A 2023-08-24 2023-08-24 Mobile phone call management operating system Pending CN117098114A (en)

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