CN112465539A - Information consultation service management system based on artificial intelligence - Google Patents
Information consultation service management system based on artificial intelligence Download PDFInfo
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Abstract
The invention discloses an information consultation service management system based on artificial intelligence, which comprises a processing module, a consultation recommendation module and a network speed analysis module, wherein the processing module is combined with a data calculation module to process input consultation information, replaces a method for manually sequencing the consultation information by a consultation service mechanism, and effectively avoids disorder and error of manual sequencing; the consultation recommendation module is used for screening and recommending consultation service results and sending the consultation service results after screening and recommending to the server, so that the best and most credible consultation results can be conveniently pushed to the consultants, and the problem that the consultants cannot distinguish the authenticity and reliability of numerous consultation results is avoided; the network analysis module is used for analyzing the network speed of the mobile terminal of the consultant, so that the consultant is not influenced by the network speed factor when carrying out the consultation service, and the experience feeling of the client information consultation, the quality of the consultation service and the public praise are improved.
Description
Technical Field
The invention belongs to the technical field of consultation service, relates to an information consultation service management system, and particularly relates to an information consultation service management system based on artificial intelligence.
Background
Consultation is similar in meaning to please, ask, consult, etc., service is meant to provide assistance, and consultation is literally meant to provide assistance in resolving a problem. In a broad sense, any two-party question-answering event involving the meaning of please, inquiry, negotiation, etc. can be used as a consulting service for the inquiring party, such as a way to a question. With the rapid development of society, the consulting service industry is operated, and the consulting service industry refers to the intelligence service industry which carries out creative thinking activities and provides decision basis and an optimization scheme for clients by means of a modern analysis method to solve various complex problems of society, economy and science and technology by relying on information and professional knowledge advantages.
In the prior art, most consulting service organizations manually sort consulting information, the manual sorting is easy to be disordered and wrong, and a satisfactory consulting service result cannot be provided for a client, so that the white loss of consulting resources is caused; after the consultation information is submitted, numerous consultation results appear, and the consultant cannot distinguish the authenticity and reliability of the numerous consultation results; when consultants carry out consultation services, consultation results cannot be refreshed quickly due to network speed factors, the experience of information consultation of clients is poor, and the quality and public praise of the consultation services are influenced.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an information consultation service management system based on artificial intelligence, which replaces a method for manually sequencing consultation information by a consultation service organization, effectively avoids confusion and errors of manual sequencing, and can intelligently and reasonably sequence, so that a client provides a satisfactory consultation service result, and the loss of consultation resources is caused; the best and most reliable consultation result can be conveniently pushed to the consultant, and the problems that numerous consultation results appear after the consultation information is submitted and the consultant cannot distinguish the authenticity and reliability of the numerous consultation results are solved; the method is convenient for consultants to carry out consultation service without being influenced by the network speed factor, the consultation information can be submitted quickly, the consultation result can be obtained quickly, and the experience feeling of client information consultation, the quality of the consultation service and public praise are improved.
The technical problem to be solved by the invention is as follows:
(1) most consulting service organizations manually sort consulting information, the manual sorting is easy to be disordered and wrong, and a satisfactory consulting service result cannot be provided for a client, so that the white loss of consulting resources is caused;
(2) after the consultation information is submitted, numerous consultation results appear, and the consultant cannot distinguish the authenticity and reliability of the numerous consultation results;
(3) when consultants carry out consultation service, consultation results cannot be refreshed quickly due to network speed factors, the experience of information consultation of clients is poor, and the quality and public praise of the consultation service are influenced.
The purpose of the invention can be realized by the following technical scheme:
an information consultation service management system based on artificial intelligence comprises a registration login module, an information input module, a processing module, a display module, a feedback module, a consultation recommendation module and a data calculation module;
the registration login module is used for registering and logging in a member after a consultant inputs personal information through the mobile terminal, and sending the personal information to the server for storage; the information input module is used for the consultant to input the consultation information and sending the input consultation information to the processing module; the data calculation module is used for performing data calculation on the input consultation information; the processing module is combined with the data calculation module to process the input consultation information, and the specific processing steps are as follows:
the method comprises the following steps: acquiring keywords in the consultation information, and classifying the consultation information into corresponding categories according to the keywords;
step two: acquiring the consultation time of the consultation information, marking the consultation time as the current time, and acquiring the consultation times of the category to which the consultation information belongs in the previous hour of the current time;
step three: acquiring the number of consultations of all categories in the previous hour of the current time, and generating a longitudinal descending order arrangement table after carrying out descending order arrangement on the number of consultations of all categories in the previous hour of the current time;
step four: acquiring the member grade of the consultation information, and marking the member grade as Dj;
step five: acquiring a member grade value of a category to which the consultation information belongs in the previous hour of the current time;
step six: acquiring the member grade values of all categories in the previous hour of the current time, and generating a transverse descending order arrangement list after descending order arrangement is carried out on the member grade values of all categories in the previous hour of the current time;
step seven: combining the vertical descending order list and the horizontal descending order list to generate a processing priority list of the consultation information, wherein the horizontal coordinate of the processing priority list of the consultation information is represented by member grade values of all categories, j is 1, … … and n, the vertical coordinate of the processing priority list of the consultation information is represented by consultation times of all categories, and the consultation times of all the categories are o, o is 1, … … and n;
step eight: feeding back the position information (j, o) of the consultation information in the processing priority table to the server;
step nine: the server processes the consultation information according to the position information fed back by the processing module;
the consultation recommendation module is used for screening and recommending consultation service results and sending the consultation service results after screening and recommending to the server; the feedback module is used for receiving the consultation service result and sending the consultation service result to the display module; the display module is used for displaying the consultation service result, and the display module is specifically a display terminal of the consultant.
Further, the specific screening recommendation process of the consultation recommendation module is as follows:
s1: acquiring a plurality of consultation results of the consultation information, and marking the plurality of consultation results as i, wherein i is 1, … … and n;
s2: acquiring the adopted amount of each consultation result of the consultation information, and marking the adopted amount as CNi; obtaining the amount of the lottery of each consultation result of the consultation information, and marking the amount of the lottery as DCi;
s3: acquiring the academic degree of each consultation result submitter of the consultation information, and marking the academic degree as Xli;
s4: acquiring the consultation price of each consultation result of the consultation information, and marking the consultation price as Pi;
s5: obtaining the recommended quantity of each consultation result of the consultation information, and marking the recommended quantity as Ti;
s6: the credibility KXi of each consultation result of the consultation information is calculated by using a formula, and the specific formula is as follows:
s7: acquiring the consultation result with the maximum credibility of KXi, sending the consultation result with the maximum credibility of KXi to the server, and increasing the recommendation amount of the consultation result once;
s8: the server sends the consultation result with the maximum credibility of KXi to the feedback module, and the feedback module transmits the consultation result with the maximum credibility of KXi to the display module.
The system further comprises a data acquisition module, a network speed analysis module and a background control module, wherein the data acquisition module transmits the acquired download speed, download duration, upload speed and upload duration of the mobile terminal, and the signal intensity and ping value of the mobile terminal to the network analysis module;
the network analysis module is used for analyzing the network speed of the mobile terminal of the person to be consulted, and the specific analysis process is as follows:
SS 1: acquiring a mobile terminal of a counselor, and marking the mobile terminal of the counselor as u, u is 1, … …, n;
SS 2: calculating to obtain a mean value of the downloading speed according to the downloading speed and the downloading duration of the mobile terminal, and marking the mean value as Xu;
SS 3: calculating to obtain an uploading speed average value according to the uploading speed and the uploading duration of the consultation information sent to the processing module by the mobile terminal, and marking the uploading speed average value as Su;
SS 4: respectively calculating a signal intensity average value and a ping average value for the signal intensity and the ping value of the mobile terminal, and sequentially marking the signal intensity average value and the ping average value as Qu and Ru;
SS 5: signal sectors transmitted by base stations near the mobile terminal of the counselor are sequentially divided into Et, t is 1, … …, n; sequentially dividing the signal distance transmitted by the base station into Jk, k being 1, … …, n; and the signal area sent by the base station is represented as m (Et, Jk); setting a preset downloading average value of the signal area as Xm; setting a preset uploading mean value Sm of the signal area; setting the preset signal intensity of the signal area as Qm; setting a preset ping mean value of the signal area as Rm;
SS 6: acquiring a network speed abnormal value Wu of the mobile terminal by using a formula Wu ═ Ru-Rm x v1+ (Xm-Xu) x v2+ (Sm-Su) x v3+ (Qm-Qu) x v 4; wherein v1, v2, v3 and v4 are all preset fixed values of proportionality coefficients;
SS 7: using formulas
Acquiring a network speed abnormal mean value K of the mobile terminal of the counselor; when the average value of the network speed abnormity is larger than a set threshold value, judging that the network speed of the mobile terminal of the counselor is abnormal, and generating an abnormal instruction;
SS 8: the network speed analysis module sends the abnormal instruction and the downloading speed average value, the uploading speed average value, the signal intensity average value and the ping average value of the mobile terminal of the consultant to the server;
the server receives the abnormal instruction and sends the downloading speed average value, the uploading speed average value, the signal intensity average value and the ping average value of the mobile terminal of the consultant to the background control module; the background control module is used for modifying parameters of the download speed average value, the upload speed average value, the signal intensity average value and the ping average value of the consultant mobile terminal.
Further, the member grade Dj is divided into a gold grade D1, a platinum grade D2, a diamond grade D3 and a crown grade D4 from low to high, and is respectively assigned with a to the gold grade D1, b to the platinum grade D2, c to the diamond grade D3 and D to the crown grade D4, wherein a, b and D are fixed numerical values, and a < b < c < D, and the priority of the member grade is greater than that of the number of consultation times.
Further, the amount CNi of the plurality of consulting results is specifically the number of counselors of the consulting staff for the consulting results, and the amount of the raffle DCi of the plurality of consulting results is specifically the number of the raffle of the consulting staff for the consulting results.
Further, the degree of academic degree Xli is divided into a special subject academic degree X1, a subject academic degree X2, a master academic degree X3 and a doctor academic degree X4, and the special subject academic degree X1 is assigned with e, the subject academic degree X2 is assigned with f, the master academic degree X3 is assigned with g and the doctor academic degree X4 is assigned with h, wherein e, f, g and h are fixed values, and e < f < g < h.
Compared with the prior art, the invention has the beneficial effects that:
1. the processing module is used for processing the consultation information, the processing module is combined with the data calculation module to process the input consultation information, firstly, keywords in the consultation information are obtained, the consultation information is classified into corresponding categories according to the keywords, the consultation time of the consultation information is obtained and marked as the current time, then the consultation times of the category to which the consultation information belongs in the previous hour of the current time and the consultation times of all the categories in the previous hour of the current time are obtained, and the consultation times of all the categories in the previous hour of the current time are arranged in a descending order to generate a longitudinal descending order arrangement table; by obtaining the member grade of the consultation information, then obtaining the member grade value of the category to which the consultation information belongs in the previous hour of the current time and the member grade values of all the categories in the previous hour of the current time, generating a transverse descending order arrangement table after descending order arrangement of the member grade values of all the categories in the previous hour of the current time, combining a longitudinal descending order arrangement table and the transverse descending order arrangement table to generate a processing priority table of the consultation information, expressing the transverse coordinate of the processing priority table of the consultation information by the member grade values j of all the categories, expressing the longitudinal coordinate of the processing priority table of the consultation information by the consultation times o of all the categories, feeding back the position information of the consultation information in the processing priority table to a server, and processing the consultation information by the server according to the position information fed back by a processing module, the method for manually sequencing the consultation information by the design instead of the consultation service institution effectively avoids confusion and errors of manual sequencing, and can intelligently and reasonably sequence, so that a client provides a satisfactory consultation service result, and the loss of consultation resources is caused;
2. the invention is used for screening and recommending the consultation service result through the consultation recommending module, firstly, a plurality of consultation results of the consultation information are obtained, the adoption amount and the lottery amount of each consultation result of the consultation information are obtained, then obtaining the academic degree, the consultation price and the recommended amount of the submitter of each consultation result of the consultation information, calculating the credibility of each consultation result of the consultation information by using a formula, sending the consultation result with the maximum credibility to a server, meanwhile, the recommended amount of the consultation result is increased once, the server sends the consultation result with the maximum credibility KXi to the feedback module, the feedback module transmits the consultation result with the maximum credibility to the display module, the design is convenient for the consultant to push the best and most credible consultation result, so that the problems that after the consultation information is submitted, numerous consultation results appear and the consultant cannot distinguish the authenticity and reliability of the numerous consultation results are solved;
3. the invention acquires the download speed, download duration, upload speed, upload duration, signal intensity and ping value of the mobile terminal through a data acquisition module, transmits the download speed, download duration, upload speed, upload duration, signal intensity and ping value of the mobile terminal to a network analysis module, analyzes the network speed of the mobile terminal of a consultant through the network analysis module, calculates the download speed average value according to the download speed and download duration of the mobile terminal by acquiring the mobile terminal of the consultant, calculates the upload speed average value according to the upload speed and upload duration of the mobile terminal transmitting consultation information to a processing module, calculates the signal intensity average value and ping average value respectively for the signal intensity and ping value of the mobile terminal, divides signal sectors transmitted by base stations near the mobile terminal of the consultant in time sequence, divides the signal distances transmitted by the base stations in sequence to obtain signal areas transmitted by the base stations, setting a preset downloading average value, a preset uploading average value, a preset signal intensity and a preset ping average value of the signal area, obtaining a network speed abnormal value of the mobile terminal by using a formula, obtaining a network speed abnormal average value of the mobile terminal of the consultant by using the formula again, judging that the network speed of the mobile terminal of the consultant is abnormal when the network speed abnormal average value is larger than a set threshold value, generating an abnormal instruction, finally sending the abnormal instruction, the downloading speed average value, the uploading speed average value, the signal intensity average value and the ping average value of the mobile terminal of the consultant to a server by using a network speed analysis module, sending the downloading speed average value, the uploading speed average value, the signal intensity average value and the ping average value of the mobile terminal of the consultant to a background control module by using the server, and sending the downloading speed average value, the uploading speed average value, the signal intensity average value and the ping, Parameters of the uploading speed mean value, the signal intensity mean value and the ping mean value are modified, the design is convenient for consultants to carry out consultation services without being influenced by network speed factors, the consultation information can be submitted quickly, the consultation result can be obtained quickly, and the experience of client information consultation, the quality of the consultation services and public praise are improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an information consultation service management system based on artificial intelligence includes a registration login module, an information input module, a processing module, a display module, a feedback module, a consultation recommendation module, and a data calculation module;
the registration login module is used for registering and logging in a member after a consultant inputs personal information through the mobile terminal, and sending the personal information to the server for storage; the information input module is used for the consultant to input the consultation information and sending the input consultation information to the processing module; the data calculation module is used for performing data calculation on the input consultation information; the processing module is combined with the data calculation module to process the input consultation information, and the specific processing steps are as follows:
the method comprises the following steps: acquiring keywords in the consultation information, and classifying the consultation information into corresponding categories according to the keywords;
step two: acquiring the consultation time of the consultation information, marking the consultation time as the current time, and acquiring the consultation times of the category to which the consultation information belongs in the previous hour of the current time;
step three: acquiring the number of consultations of all categories in the previous hour of the current time, and generating a longitudinal descending order arrangement table after carrying out descending order arrangement on the number of consultations of all categories in the previous hour of the current time;
step four: acquiring the member grade of the consultation information, and marking the member grade as Dj;
step five: acquiring a member grade value of a category to which the consultation information belongs in the previous hour of the current time;
step six: acquiring the member grade values of all categories in the previous hour of the current time, and generating a transverse descending order arrangement list after descending order arrangement is carried out on the member grade values of all categories in the previous hour of the current time;
step seven: combining the vertical descending order list and the horizontal descending order list to generate a processing priority list of the consultation information, wherein the horizontal coordinate of the processing priority list of the consultation information is represented by member grade values of all categories, j is 1, … … and n, the vertical coordinate of the processing priority list of the consultation information is represented by consultation times of all categories, and the consultation times of all the categories are o, o is 1, … … and n;
step eight: feeding back the position information (j, o) of the consultation information in the processing priority table to the server;
step nine: the server processes the consultation information according to the position information fed back by the processing module;
the consultation recommendation module is used for screening and recommending consultation service results and sending the consultation service results after screening and recommending to the server; the feedback module is used for receiving the consultation service result and sending the consultation service result to the display module; the display module is used for displaying the consultation service result, and the display module is specifically a display terminal of the consultant.
The specific screening recommendation process of the consultation recommendation module is as follows:
s1: acquiring a plurality of consultation results of the consultation information, and marking the plurality of consultation results as i, wherein i is 1, … … and n;
s2: acquiring the adopted amount of each consultation result of the consultation information, and marking the adopted amount as CNi; obtaining the amount of the lottery of each consultation result of the consultation information, and marking the amount of the lottery as DCi;
s3: acquiring the academic degree of each consultation result submitter of the consultation information, and marking the academic degree as Xli;
s4: acquiring the consultation price of each consultation result of the consultation information, and marking the consultation price as Pi;
s5: obtaining the recommended quantity of each consultation result of the consultation information, and marking the recommended quantity as Ti;
s6: the credibility KXi of each consultation result of the consultation information is calculated by using a formula, and the specific formula is as follows:
s7: acquiring the consultation result with the maximum credibility of KXi, sending the consultation result with the maximum credibility of KXi to the server, and increasing the recommendation amount of the consultation result once;
s8: the server sends the consultation result with the maximum credibility of KXi to the feedback module, and the feedback module transmits the consultation result with the maximum credibility of KXi to the display module.
The system also comprises a data acquisition module, a network speed analysis module and a background control module, wherein the data acquisition module transmits the acquired download speed, download duration, upload speed and upload duration of the mobile terminal, and the signal intensity and ping value of the mobile terminal to the network analysis module;
the network analysis module is used for analyzing the network speed of the mobile terminal of the person to be consulted, and the specific analysis process is as follows:
SS 1: acquiring a mobile terminal of a counselor, and marking the mobile terminal of the counselor as u, u is 1, … …, n;
SS 2: calculating to obtain a mean value of the downloading speed according to the downloading speed and the downloading duration of the mobile terminal, and marking the mean value as Xu;
SS 3: calculating to obtain an uploading speed average value according to the uploading speed and the uploading duration of the consultation information sent to the processing module by the mobile terminal, and marking the uploading speed average value as Su;
SS 4: respectively calculating a signal intensity average value and a ping average value for the signal intensity and the ping value of the mobile terminal, and sequentially marking the signal intensity average value and the ping average value as Qu and Ru;
SS 5: signal sectors transmitted by base stations near the mobile terminal of the counselor are sequentially divided into Et, t is 1, … …, n; sequentially dividing the signal distance transmitted by the base station into Jk, k being 1, … …, n; and the signal area sent by the base station is represented as m (Et, Jk); setting a preset downloading average value of the signal area as Xm; setting a preset uploading mean value Sm of the signal area; setting the preset signal intensity of the signal area as Qm; setting a preset ping mean value of the signal area as Rm;
SS 6: acquiring a network speed abnormal value Wu of the mobile terminal by using a formula Wu ═ Ru-Rm x v1+ (Xm-Xu) x v2+ (Sm-Su) x v3+ (Qm-Qu) x v 4; wherein v1, v2, v3 and v4 are all preset fixed values of proportionality coefficients;
SS 7: using formulas
Acquiring a network speed abnormal mean value K of the mobile terminal of the counselor; when the average value of the network speed abnormity is larger than a set threshold value, judging that the network speed of the mobile terminal of the counselor is abnormal, and generating an abnormal instruction;
SS 8: the network speed analysis module sends the abnormal instruction and the downloading speed average value, the uploading speed average value, the signal intensity average value and the ping average value of the mobile terminal of the consultant to the server;
the server receives the abnormal instruction and sends the downloading speed average value, the uploading speed average value, the signal intensity average value and the ping average value of the mobile terminal of the consultant to the background control module; the background control module is used for modifying parameters of the download speed average value, the upload speed average value, the signal intensity average value and the ping average value of the consultant mobile terminal.
The member grade Dj is divided into a gold grade D1, a platinum grade D2, a diamond grade D3 and a crown grade D4 from low to high, and is respectively assigned with a to the gold grade D1, b to the platinum grade D2, c to the diamond grade D3 and D to the crown grade D4, wherein a, b and D are fixed numerical values, a is more than b and less than c and less than D, and the priority of the member grade is more than that of the number of consultation times.
The amount CNi of the plurality of consulting results is the number of prizes of the consulting staff to the consulting results, and the amount of rewards of the plurality of consulting results DCi is the number of rewards of the consulting staff to the consulting results.
The degree of academic degree Xli is divided into a special academic record X1, a subject academic record X2, a master academic record X3 and a doctor academic record X4, and the special academic record X1 is assigned with e, the subject academic record X2 is assigned with f, the master academic record X3 is assigned with g and the doctor academic record X4 is assigned with h, wherein e, f, g and h are fixed numerical values, and e < f < g < h.
The system also comprises a recharge reminding module, wherein the recharge reminding module is used for reminding a consultant of recharging the amount of money of the consultation service, and the specific working process is as follows:
p1: presetting a consultation service fee, marking the consultation service fee as F, acquiring the current balance DY in a consulting staff member, and calculating the consultable duration DZS of the current balance;
p2: acquiring the total consultation time and the total consultation times of a consultant, calculating the average consultation time PZS of the consultant by dividing the total consultation time by the total consultation times, and further calculating the consultable times DZC of the current balance;
p3: acquiring consultation times ZC and consultation duration ZS of a previous week of a consultant, and acquiring maximum consultation times ZCaX and minimum consultation times ZCmin in a day of the previous week of the consultant;
p4: if the maximum consulting frequency ZCaX of the consulting staff in the day of the previous week is smaller than the consulting frequency ZC, the consulting staff is not required to be reminded to charge members;
if the minimum consulting frequency ZCmin in one day of the previous week of the consultant is greater than the consulting frequency ZC, entering the next step;
p5: acquiring the maximum consulting expense XFMax and the minimum consulting expense XFMin the consulting times of the consultant in the previous week;
p6: if the maximum consultation consumption amount XFMax is smaller than the current balance DY, the consultant does not need to be reminded to recharge the member;
and if the minimum consultation consumption amount XFMin is larger than the current balance DY, generating a recharging signal and sending the recharging signal to the mobile terminal of the consultant.
An information consultation service management system based on artificial intelligence is used for processing consultation information through a processing module during working, the processing module is combined with a data calculation module to process the input consultation information, firstly, keywords in the consultation information are obtained, the consultation information is classified into corresponding categories according to the keywords, the consultation time of the consultation information is obtained and marked as the current time, then, the consultation times of the category to which the consultation information belongs in the previous hour of the current time and the consultation times of all the categories in the previous hour of the current time are obtained, and the consultation times of all the categories in the previous hour of the current time are subjected to descending order arrangement to generate a longitudinal descending order arrangement table; by acquiring the member grade Dj of the consultation information, acquiring the member grade value of the category to which the consultation information belongs in the previous hour of the current time and the member grade values of all the categories in the previous hour of the current time, performing descending order arrangement on the member grade values of all the categories in the previous hour of the current time to generate a transverse descending order arrangement table, combining a longitudinal descending order arrangement table and a transverse descending order arrangement table to generate a processing priority table of the consultation information, expressing the transverse coordinate of the processing priority table of the consultation information by using the member grade values j of all the categories, expressing the longitudinal coordinate of the processing priority table of the consultation information by using the consultation times o of all the categories, feeding back the position information (j, o) of the consultation information in the processing priority table to a server, and processing the consultation information by the server according to the position information fed back by a processing module, the method for manually sequencing the consultation information by the design instead of the consultation service institution effectively avoids confusion and errors of manual sequencing, and can intelligently and reasonably sequence, so that a client provides a satisfactory consultation service result, and the loss of consultation resources is caused;
the consultation recommending module is used for screening and recommending consultation service results, firstly a plurality of consultation results i of the consultation information are obtained, the acceptance amount CNi and the reserve amount DCi of each consultation result of the consultation information are obtained, then the academic degree Xli, the consultation price Pi and the recommendation amount Ti of a submitter of each consultation result of the consultation information are obtained, and a formula is utilized
Calculating the credibility KXi of each consultation result of the consultation information, sending the consultation result with the maximum credibility KXi to the server, increasing the recommendation amount of the consultation result once, sending the consultation result with the maximum credibility KXi to the feedback module by the server, and sending the consultation result with the maximum credibility KXi to the feedback module by the feedback moduleThe consultation result with the maximum credibility KXi is transmitted to the display module, the design is convenient for the consultant to push the best and most credible consultation result, and the problems that after the consultation information is submitted, numerous consultation results occur, and the consultant cannot distinguish the authenticity and the reliability of the numerous consultation results are avoided;
the method comprises the steps of acquiring the download speed, the download duration, the upload speed, the upload duration, the signal intensity and the ping value of a mobile terminal through a data acquisition module, sending the download speed, the download duration, the upload speed, the upload duration, the signal intensity and the ping value of the mobile terminal to a network analysis module, analyzing the network speed of the mobile terminal of a consultant through the network analysis module, obtaining a download speed mean value Xu through acquiring the mobile terminal u of the consultant according to the download speed and the download duration of the mobile terminal, obtaining an upload speed mean value Su through calculating the upload speed and the upload duration of the mobile terminal, respectively calculating a signal intensity mean value Qu and a ping mean value Ru of the signal intensity and the ping value of the mobile terminal, dividing signal sectors transmitted by base stations near the mobile terminal of the consultant into Et in sequence, sequentially dividing signal distances transmitted by the base stations into Jk in sequence, and expressing a signal area transmitted by the base stations as m, jk); setting a preset downloading mean value Xm, a preset uploading mean value Sm, a preset signal intensity Qm and a preset ping mean value Rm of the signal area, obtaining a network speed abnormal value Wu of the mobile terminal by using a formula Wu ═ (Ru-Rm) x v1+ (Xm-Xu) x v2+ (Sm-Su) x v3+ (Qm-Qu) x v4, and then obtaining the network speed abnormal value Wu of the mobile terminal by using the formula Wu again
Obtaining a network speed abnormal mean value K of the mobile terminal of the consultant, judging that the network speed of the mobile terminal of the consultant is abnormal when the network speed abnormal mean value is larger than a set threshold value, generating an abnormal instruction, finally sending the abnormal instruction and a downloading speed mean value, an uploading speed mean value, a signal intensity mean value and a ping mean value of the mobile terminal of the consultant to a server by a network speed analysis module, receiving the abnormal instruction by the server, sending the downloading speed mean value, the uploading speed mean value, the signal intensity mean value and the ping mean value of the mobile terminal of the consultant to a background control module by the server, and sending the downloading speed mean value, the uploading speed mean value, the signal intensity meanParameters of the download speed average value, the upload speed average value, the signal intensity average value and the ping average value are modified, the design is convenient for consultants to carry out consultation services without being influenced by network speed factors, the consultation information can be submitted quickly, the consultation result can be obtained quickly, and the experience feeling of client information consultation, the quality of the consultation services and public praise are improved.
The above formulas are all quantitative calculation, the formula is a formula obtained by acquiring a large amount of data and performing software simulation to obtain the latest real situation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. An information consultation service management system based on artificial intelligence is characterized by comprising a registration login module, an information input module, a processing module, a display module, a feedback module, a consultation recommendation module and a data calculation module;
the registration login module is used for registering and logging in a member after a consultant inputs personal information through the mobile terminal, and sending the personal information to the server for storage; the information input module is used for the consultant to input the consultation information and sending the input consultation information to the processing module; the data calculation module is used for performing data calculation on the input consultation information; the processing module is combined with the data calculation module to process the input consultation information, and the specific processing steps are as follows:
the method comprises the following steps: acquiring keywords in the consultation information, and classifying the consultation information into corresponding categories according to the keywords;
step two: acquiring the consultation time of the consultation information, marking the consultation time as the current time, and acquiring the consultation times of the category to which the consultation information belongs in the previous hour of the current time;
step three: acquiring the number of consultations of all categories in the previous hour of the current time, and generating a longitudinal descending order arrangement table after carrying out descending order arrangement on the number of consultations of all categories in the previous hour of the current time;
step four: acquiring the member grade of the consultation information, and marking the member grade as Dj;
step five: acquiring a member grade value of a category to which the consultation information belongs in the previous hour of the current time;
step six: acquiring the member grade values of all categories in the previous hour of the current time, and generating a transverse descending order arrangement list after descending order arrangement is carried out on the member grade values of all categories in the previous hour of the current time;
step seven: combining the vertical descending order list and the horizontal descending order list to generate a processing priority list of the consultation information, wherein the horizontal coordinate of the processing priority list of the consultation information is represented by member grade values of all categories, j is 1, … … and n, the vertical coordinate of the processing priority list of the consultation information is represented by consultation times of all categories, and the consultation times of all the categories are o, o is 1, … … and n;
step eight: feeding back the position information (j, o) of the consultation information in the processing priority table to the server;
step nine: the server processes the consultation information according to the position information fed back by the processing module;
the consultation recommendation module is used for screening and recommending consultation service results and sending the consultation service results after screening and recommending to the server; the feedback module is used for receiving the consultation service result and sending the consultation service result to the display module; the display module is used for displaying the consultation service result, and the display module is specifically a display terminal of the consultant.
2. The system as claimed in claim 1, wherein the consulting recommending module performs a specific screening and recommending process as follows:
s1: acquiring a plurality of consultation results of the consultation information, and marking the plurality of consultation results as i, wherein i is 1, … … and n;
s2: acquiring the adopted amount of each consultation result of the consultation information, and marking the adopted amount as CNi; obtaining the amount of the lottery of each consultation result of the consultation information, and marking the amount of the lottery as DCi;
s3: acquiring the academic degree of each consultation result submitter of the consultation information, and marking the academic degree as Xli;
s4: acquiring the consultation price of each consultation result of the consultation information, and marking the consultation price as Pi;
s5: obtaining the recommended quantity of each consultation result of the consultation information, and marking the recommended quantity as Ti;
s6: the credibility KXi of each consultation result of the consultation information is calculated by using a formula, and the specific formula is as follows:
s7: acquiring the consultation result with the maximum credibility of KXi, sending the consultation result with the maximum credibility of KXi to the server, and increasing the recommendation amount of the consultation result once;
s8: the server sends the consultation result with the maximum credibility of KXi to the feedback module, and the feedback module transmits the consultation result with the maximum credibility of KXi to the display module.
3. The artificial intelligence based information consultation service management system according to claim 1, further comprising a data acquisition module, a network speed analysis module and a background control module, wherein the data acquisition module transmits the acquired download speed, download duration, upload speed, upload duration of the mobile terminal, signal intensity of the mobile terminal and ping value to the network analysis module;
the network analysis module is used for analyzing the network speed of the mobile terminal of the person to be consulted, and the specific analysis process is as follows:
SS 1: acquiring a mobile terminal of a counselor, and marking the mobile terminal of the counselor as u, u is 1, … …, n;
SS 2: calculating to obtain a mean value of the downloading speed according to the downloading speed and the downloading duration of the mobile terminal, and marking the mean value as Xu;
SS 3: calculating to obtain an uploading speed average value according to the uploading speed and the uploading duration of the consultation information sent to the processing module by the mobile terminal, and marking the uploading speed average value as Su;
SS 4: respectively calculating a signal intensity average value and a ping average value for the signal intensity and the ping value of the mobile terminal, and sequentially marking the signal intensity average value and the ping average value as Qu and Ru;
SS 5: signal sectors transmitted by base stations near the mobile terminal of the counselor are sequentially divided into Et, t is 1, … …, n; sequentially dividing the signal distance transmitted by the base station into Jk, k being 1, … …, n; and the signal area sent by the base station is represented as m (Et, Jk); setting a preset downloading average value of the signal area as Xm; setting a preset uploading mean value Sm of the signal area; setting the preset signal intensity of the signal area as Qm; setting a preset ping mean value of the signal area as Rm;
SS 6: acquiring a network speed abnormal value Wu of the mobile terminal by using a formula Wu ═ Ru-Rm x v1+ (Xm-Xu) x v2+ (Sm-Su) x v3+ (Qm-Qu) x v 4; wherein v1, v2, v3 and v4 are all preset fixed values of proportionality coefficients;
SS 7: using formulas
Acquiring a network speed abnormal mean value K of the mobile terminal of the counselor; when the average value of the network speed abnormity is larger than a set threshold value, judging that the network speed of the mobile terminal of the counselor is abnormal, and generating an abnormal instruction;
SS 8: the network speed analysis module sends the abnormal instruction and the downloading speed average value, the uploading speed average value, the signal intensity average value and the ping average value of the mobile terminal of the consultant to the server;
the server receives the abnormal instruction and sends the downloading speed average value, the uploading speed average value, the signal intensity average value and the ping average value of the mobile terminal of the consultant to the background control module; the background control module is used for modifying parameters of the download speed average value, the upload speed average value, the signal intensity average value and the ping average value of the consultant mobile terminal.
4. An artificial intelligence based information consultation service management system according to claim 1, wherein said member grades Dj are classified from low to high into gold grade D1, platinum grade D2, diamond grade D3 and crown grade D4, and assigned with gold grade D1 a, platinum grade D2 b, diamond grade D3 c and crown grade D4D, respectively, wherein a, b and D are fixed values, and a < b < c < D, and the priority of said member grade is greater than that of the number of consultation times.
5. The system as claimed in claim 2, wherein the acceptance CNi of the plurality of counseling results is a number of counsel's approval for the counseling result, and the win amount DCi of the plurality of counseling results is a number of win of the counseling person's win.
6. An artificial intelligence based information advisory services management system as claimed in claim 2 wherein said degree of academic discipline Xli is divided into specialist academic discipline X1, subject academic discipline X2, master academic discipline X3 and doctor academic discipline X4 and assigned to specialist academic calendar X1, subject academic calendar X2, f, master academic calendar X3 and g and doctor academic calendar X4 respectively, wherein e, f, g and h are fixed values and e < f < g < h.
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| CN202011301839.0A CN112465539A (en) | 2020-11-19 | 2020-11-19 | Information consultation service management system based on artificial intelligence |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114648368A (en) * | 2022-04-20 | 2022-06-21 | 北京梦蓝杉科技有限公司 | Economic information consultation system and method based on network big data |
| CN114780842A (en) * | 2022-04-20 | 2022-07-22 | 北京字跳网络技术有限公司 | Data processing method, device, equipment and storage medium |
| CN115396389A (en) * | 2022-07-07 | 2022-11-25 | 深圳市华汇数据服务有限公司 | Internet of things information technology customer service system based on emotion energy perception |
-
2020
- 2020-11-19 CN CN202011301839.0A patent/CN112465539A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114648368A (en) * | 2022-04-20 | 2022-06-21 | 北京梦蓝杉科技有限公司 | Economic information consultation system and method based on network big data |
| CN114780842A (en) * | 2022-04-20 | 2022-07-22 | 北京字跳网络技术有限公司 | Data processing method, device, equipment and storage medium |
| CN114648368B (en) * | 2022-04-20 | 2022-11-22 | 辽宁省中科创新创业管理服务有限公司 | Economic information consultation system and method based on network big data |
| CN115396389A (en) * | 2022-07-07 | 2022-11-25 | 深圳市华汇数据服务有限公司 | Internet of things information technology customer service system based on emotion energy perception |
| CN115396389B (en) * | 2022-07-07 | 2023-09-22 | 深圳市华汇数据服务有限公司 | Emotion energy perception-based Internet of things information technology customer service system |
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Application publication date: 20210309 |