CN110544041B - Employee data management system for financial consulting company - Google Patents
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Abstract
The invention discloses an employee data management system for a financial consulting company, which solves the problems that the conventional financial consulting company cannot provide financial knowledge practice and exercise fidelity calculation for employees after off-duty time and cannot know the answering condition of the employees when the employees answer the business for clients; the system comprises an employee login module, a server, a knowledge exercise module, an exercise analysis module, a financial knowledge database, a consultation exchange module, a consultation statistic module, an employee recommendation module, a client login module and a client integration module; according to the invention, the employee sends the question answer to the knowledge practice module through the mobile phone terminal, and the employee practices the financial knowledge through the off-duty time, so that the mastering degree of the financial knowledge can be improved, and the inquiry and answer for the client can be better facilitated; by analyzing the complete solution value of the employee, the solution condition of the employee to the client can be obtained.
Description
Technical Field
The invention relates to the field of employee data management of financial consulting companies, in particular to an employee data management system for a financial consulting company.
Background
The financial consulting company is a consulting company which has the functions of accounting and related professional knowledge and is controlled by natural persons or legal persons and receives the action of entrusting the service of providing business solution to the client. The financial consulting should be broad in meaning, and it should be indispensable to accept financial consulting entrusted with providing professional services or affiliated financial consulting affiliated with providing consulting services under comprehensive management.
Therefore, in order to improve the personnel capacity of the financial consulting company, the personnel is required to have firm professional knowledge so as to provide accurate professional business solutions for the clients; however, the existing financial consulting companies cannot provide the staff with the practice of financial knowledge, and cannot know the solution condition of the staff when the staff performs business solution for the client and the solution condition of the client, so that the solution condition of the staff cannot be known.
Disclosure of Invention
The invention aims to provide an employee data management system for a financial consulting company; according to the invention, the employee sends the question answer to the knowledge practice module through the mobile phone terminal, and the employee practices the financial knowledge through the off-duty time, so that the mastering degree of the financial knowledge can be improved, and the inquiry and answer for the client can be better facilitated; the consultation and statistics module is used for analyzing and counting the answer value of the staff through the consultation and exchange module, and the answer condition of the staff to the client can be obtained through analyzing the complete answer value of the staff.
The technical problem to be solved by the invention is as follows:
(1) how to send the exercise progress to the mobile phone terminal of the employee through the knowledge exercise module, the employee performs financial knowledge exercise through the mobile phone terminal and sends exercise identification to analyze the degree of fidelity of the employee, and the problem that the existing financial consulting company cannot provide financial knowledge exercise after the next work time for the employee and calculate the degree of fidelity of the exercise is solved;
(2) how to calculate the coincidence degree with the answer answers in the financial knowledge database by collecting the answers between the staff and the clients and the understanding condition of the clients so as to obtain the answer completeness of the staff, solve the problem that the answer condition of the staff cannot be known when the staff answers the services for the clients and better recommend the answers to the clients.
The purpose of the invention can be realized by the following technical scheme: an employee data management system for a financial consulting company comprises an employee login module, a server, a knowledge exercise module, an exercise analysis module, a financial knowledge database, a consultation exchange module, a consultation statistic module, an employee recommendation module, a client login module and a client integration module;
the employee login module is used for inputting employee information and sending the employee information to the server for storage, wherein the employee information comprises names, enrollment time, financial consultation categories and contact calls; the knowledge practice module is used for the staff to practice knowledge in the next shift time, and the specific practice steps are as follows:
the method comprises the following steps: the method comprises the following steps that employees of a financial consulting company log in a server through an employee login module and send exercise instructions to the server, and the server sends names, financial consulting categories and exercise schedules of the employees to a knowledge exercise module after receiving the exercise instructions;
step two: marking the financial consulting category as Ai, i ═ 1, … …, n; each financial consulting category comprises j exercise schedules and is labeled as Aij(ii) a j is 1, … …, n; the exercise progress is composed of a plurality of financial exercise questions; the knowledge exercise module sends corresponding financial exercise questions to the staff according to the exercise progress; the concrete expression is as follows: when the employee does not have the exercise progress, the knowledge exercise module sends the exercise progress Ai1Corresponding financial practice test questions are sent to mobile phone terminals of the employees, and when the practice progress of the employees is AijThen the knowledge exercise module sends an exercise progress Aij+1The corresponding financial exercise test questions are sent to the mobile phone terminals of the employees;
step three: the employee submits a question-making starting instruction to the exercise analysis module through the mobile phone terminal, the exercise analysis module starts timing, and meanwhile the mobile phone terminal starts to shoot videos for the employee through the camera; the employee submits a question-making finishing instruction to the exercise analysis module through the mobile phone terminal, the exercise analysis module stops timing, and meanwhile the mobile phone terminal stops shooting videos;
step four: the employee sends the answers to the questions to the knowledge exercise module through the mobile phone terminal, and simultaneously sends the shot exercise video to the exercise analysis module;
step five: the knowledge exercise module compares the answers to the questions with the corresponding correct answers to obtain exercise scores and sends the exercise scores to the server for storage; when the exercise score is lower than a set threshold value, the exercise progress of the employee is the exercise progress of the current question making;
the exercise analysis module is used for analyzing the exercise video to obtain the seriousness of the exercise video, and the specific analysis steps are as follows:
s1: decomposing the exercise video into m frames of static pictures according to the time sequence; carrying out eye positioning detection on each frame of static picture; when the static picture is detected to comprise eyes, the static picture is marked as an eye static picture;
s2: counting the number of the eye static pictures and marking the number as TY;
s3: obtaining exercise time T according to the start of timing of the exercise analysis module and the stop of timing of the exercise analysis module;
s3: acquiring exercise scores stored in a server, and recording the exercise scores as MA;
s4: using formulas
Obtaining a training fidelity value RAi of the employeej(ii) a Wherein v1, v2 and v3 are fixed values of preset proportions;
s5: and the exercise analysis module sends the exercise fidelity value of the employee to the server for storage.
Preferably, the consultation exchange module is used for the staff of the financial consulting company to carry out financial consultation and answer to the client, and the specific exchange steps are as follows:
the method comprises the following steps: the client accesses the consultation communication module through the mobile phone terminal; the consultation exchange module matches the corresponding staff consultation grade according to the client integral value of the client;
step two: acquiring all employees corresponding to the employee consultation levels and corresponding employee recommendation values; sorting according to the recommended values of the employees from big to small, and screening out the employees corresponding to the top five recommended values to recommend to the client;
step three: the client inputs the staff to be consulted through the mobile phone terminal and generates a corresponding staff consultation instruction to the consultation communication module, and the consultation communication module establishes communication connection between the client and the corresponding staff according to the corresponding staff consultation instruction; after the consultation of the client and the corresponding staff is finished, the client inputs an understandable value to the consultation communication module through the mobile phone terminal;
step four: the consultation exchange module collects the questions, the comprehension values and the answers of the corresponding employees sent by the client and sends the questions, the comprehension values and the answers to the corresponding employees to the consultation statistic module.
Preferably, the consulting and statistics module is used for analyzing and counting the answer values of the employees, and the specific analysis steps are as follows:
the method comprises the following steps: the method comprises the steps that questions sent by a client are sent to a server, the server receives the questions sent by the client and then sends answer answers to a consultation statistic module according to answer answers corresponding to the questions stored in a retrieval financial knowledge database; setting the problem sent by the client as Wk, i is 1, … … and n;
step two: the consulting statistic module matches the answers of the corresponding staff with the answer answers to obtain the number of the overlapped words; setting the number of coincident words as Zk1, and the number of words of answer as Zk 2;
step three: using formulas
Obtaining solution integrity JD of the employees, wherein p1 and p2 are fixed values of preset proportion; TD is the understandable value that the customer sends;
step four: and the consultation statistical module sends the answer integrity to the server for storage.
Preferably, the employee recommendation module is used for analyzing and calculating employee recommendation values of the financial consulting company; the specific calculation steps are as follows:
the method comprises the following steps: when the employee recommendation module detects that the answer completeness and the exercise severity of the employee are increased, the employee recommendation module generates a corresponding employee extraction instruction and sends the employee extraction instruction to the server;
step two: after receiving the employee extraction instruction, the server sends all the answer integrity, exercise fidelity values and the employee enrollment time corresponding to the employee recommendation module;
step three: calculating the attendance duration of the employee according to the attendance time of the employee and the current time of the system; marking the time length of the job as RT;
step four: using formulas
Acquiring an employee recommended value TJ of an employee; wherein x1, x2 and x3 are all preset proportionality coefficients; mu is a correction coefficient, and the value is 5.899324;
step five: setting staff consultation grade as Dc; c is 1, … …, n; the employee consultation level Dc corresponds to a value interval (d)c，dc+1]；d1<……<dc(ii) a The value space of D1 is minimum; when the recommended value TJ of the employee belongs to the value range (d)c，dc+1]If the employee consultation level is Dc, the employee consultation level is Dc;
step six: and the employee recommendation module sends the employee recommendation value of the employee and the corresponding employee consultation grade to the server for storage.
Preferably, the client login module is used for providing client registration information for a client and logging in a server; the customer registration information includes name, phone, and job name; the financial knowledge database is used for storing the questions of the financial consultation and the corresponding answer answers.
Preferably, the client point module comprises a collecting unit and a point calculating unit; the acquisition unit is used for acquiring the access times of a client for logging in the server, the total number of problems sent by the client and the total consultation cost paid by the client through the mobile phone terminal; the acquisition unit is used for acquiring the number of access times of a client for logging in a server, the total number of problems sent by the client and the total consultation fee value sending integral value calculation unit paid by the client through a mobile phone terminal, and the specific calculation steps of the integral value calculation unit for the client are as follows:
the method comprises the following steps: setting total consultation cost MN paid by a client; the access times of the client logging in the server are recorded as PM; the total number of questions sent by the client is recorded as PT;
step two: using formulas
Acquiring a customer integral value KJ; wherein f1, f2 and f3 are all preset fixed values of proportionality coefficients;
step three: the client integration module sends the client integration value to the server for storage; when the customer integral value belongs to the value areaM (d)c，dc+1](ii) a The client consults all employees corresponding to the employee level Dc for the recommended employee.
The invention has the beneficial effects that:
(1) the invention exercises through the financial knowledge, and improves the mastering degree of the financial knowledge of the staff; the knowledge practice module is used for the staff to practice knowledge in the off-duty time, the staff of the financial consulting company logs in the server through the staff login module and sends a practice instruction to the server, and the server sends the name of the staff, the financial consulting category and the practice progress to the knowledge practice module after receiving the practice instruction; the knowledge exercise module sends corresponding financial exercise questions to the staff according to the exercise progress; the employee submits a question starting instruction to the practice analysis module through the mobile phone terminal, the employee sends a question answer to the knowledge practice module through the mobile phone terminal, and the employee practices the financial knowledge through the off-duty time, so that the mastering degree of the financial knowledge can be improved, and the consultation and answer for the client can be better facilitated;
(2) the invention analyzes the exercise fidelity value of the exercise video of the staff through the exercise analysis module, and decomposes the exercise video into m frames of static pictures according to the time sequence; carrying out eye positioning detection on each frame of static picture; counting the number of the static images of the eyes, and acquiring exercise time according to the starting timing of the exercise analysis module and the stopping timing of the exercise analysis module; acquiring exercise scores stored in a server, and acquiring exercise fidelity values of the employees by using a formula; when the employee does exercises, the more times the eyes are collected, the greater the exercise accuracy degree value of the employee is, and the more accurate the employee exercises are; the closer the exercise time is to twenty minutes, the greater the value of the exercise fidelity of the employee; the greater the exercise score, the greater the value of the exercise conscience of the employee; by analyzing the exercise earnest degree of the staff, the attitude of the staff to be exercised can be obtained;
(3) the consulting and exchanging module is used for analyzing and counting the answer values of the staff, the questions sent by the client are sent to the server, the server receives the questions sent by the client and then sends the answer answers to the consulting and exchanging module according to the answer answers corresponding to the questions stored in the financial knowledge database; the consulting statistic module matches the answers of the corresponding staff with the answer answers to obtain the number of the overlapped words; obtaining the solution integrity of the staff by using a formula; the closer the answer of the staff is to the answer, the larger the answer integrity value of the staff is, the more complete the resource representing the consultation of the staff to the client is, the larger the comprehension value sent by the client is, and the larger the answer integrity value of the staff is; by analyzing the complete solution value of the employee, the solution condition of the employee to the client can be obtained.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of an employee data management system for a financial consulting company in accordance with the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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, the invention relates to an employee data management system for a financial consulting company, which comprises an employee login module, a server, a knowledge practice module, a practice analysis module, a financial knowledge database, a consultation exchange module, a consultation statistic module, an employee recommendation module, a client login module and a client integration module;
the employee login module is used for inputting employee information and sending the employee information to the server for storage, wherein the employee information comprises names, enrollment time, financial consultation categories and contact calls; the knowledge practice module is used for the staff to practice the knowledge in the time of next shift, and the concrete practice step is as follows:
the method comprises the following steps: the method comprises the following steps that employees of a financial consulting company log in a server through an employee login module and send exercise instructions to the server, and the server sends names, financial consulting categories and exercise schedules of the employees to a knowledge exercise module after receiving the exercise instructions;
step two: marking the financial consulting category as Ai, i ═ 1, … …, n; each financial consulting category comprises j exercise schedules and is labeled as Aij(ii) a j is 1, … …, n; the exercise progress is composed of a plurality of financial exercise questions; the knowledge exercise module sends corresponding financial exercise questions to the staff according to the exercise progress; the concrete expression is as follows: when the employee does not have the exercise progress, the knowledge exercise module sends the exercise progress Ai1Corresponding financial practice test questions are sent to mobile phone terminals of the employees, and when the practice progress of the employees is AijThen the knowledge exercise module sends an exercise progress Aij+1The corresponding financial exercise test questions are sent to the mobile phone terminals of the employees;
step three: the employee submits a question-making starting instruction to the exercise analysis module through the mobile phone terminal, the exercise analysis module starts timing, and meanwhile the mobile phone terminal starts to shoot videos for the employee through the camera; the employee submits a question-making finishing instruction to the exercise analysis module through the mobile phone terminal, the exercise analysis module stops timing, and meanwhile the mobile phone terminal stops shooting videos;
step four: the employee sends the answers to the questions to the knowledge exercise module through the mobile phone terminal, and simultaneously sends the shot exercise video to the exercise analysis module;
step five: the knowledge exercise module compares the answers to the questions with the corresponding correct answers to obtain exercise scores and sends the exercise scores to the server for storage; when the exercise score is lower than a set threshold value, the exercise progress of the employee is the exercise progress of the current question making;
the exercise analysis module is used for analyzing the exercise video to obtain the fidelity of the exercise video, and the specific analysis steps are as follows:
s1: decomposing the exercise video into m frames of static pictures according to the time sequence; carrying out eye positioning detection on each frame of static picture; when the static picture is detected to comprise eyes, the static picture is marked as an eye static picture; wherein eye positioning detection, in the eye positioning method based on Adabousting, 20090605, Chenyang Guanguan, has already disclosed positioning of eyes, and belongs to the prior art;
s2: counting the number of the eye static pictures and marking the number as TY;
s3: obtaining exercise time T according to the start of timing of the exercise analysis module and the stop of timing of the exercise analysis module;
s3: acquiring exercise scores stored in a server, and recording the exercise scores as MA;
s4: using formulas
Obtaining a training fidelity value RAi of the employeej(ii) a Wherein v1, v2 and v3 are fixed values of preset proportions; the method can be obtained through a formula, when the employee does exercises, the more times the eyes are collected, the larger the exercise fidelity value of the employee is, and the more serious the employee exercises are; the closer the exercise time is to twenty minutes, the greater the value of the exercise fidelity of the employee; the larger the exercise score is, the larger the exercise fidelity value of the employee is;
s5: the exercise analysis module sends the exercise fidelity value of the employee to a server for storage;
the consultation exchange module is used for the staff of the financial consulting company to carry out financial consultation and answer to the client, and comprises the following specific exchange steps:
the method comprises the following steps: the client accesses the consultation communication module through the mobile phone terminal; the consultation exchange module matches the corresponding staff consultation grade according to the client integral value of the client;
step two: acquiring all employees corresponding to the employee consultation levels and corresponding employee recommendation values; sorting according to the recommended values of the employees from big to small, and screening out the employees corresponding to the top five recommended values to recommend to the client;
step three: the client inputs the staff to be consulted through the mobile phone terminal and generates a corresponding staff consultation instruction to the consultation communication module, and the consultation communication module establishes communication connection between the client and the corresponding staff according to the corresponding staff consultation instruction; after the consultation of the client and the corresponding staff is finished, the client inputs an understandable value to the consultation communication module through the mobile phone terminal;
step four: the consultation exchange module collects the questions, the comprehension values and the answers of the corresponding employees sent by the client and sends the questions, the comprehension values and the answers to the corresponding employees to the consultation statistic module;
the consultation statistic module is used for analyzing and counting the answer values of the employees, and comprises the following specific analysis steps:
the method comprises the following steps: the method comprises the steps that questions sent by a client are sent to a server, the server receives the questions sent by the client and then sends answer answers to a consultation statistic module according to answer answers corresponding to the questions stored in a retrieval financial knowledge database; setting the problem sent by the client as Wk, i is 1, … … and n;
step two: the consulting statistic module matches the answers of the corresponding staff with the answer answers to obtain the number of the overlapped words; setting the number of coincident words as Zk1, and the number of words of answer as Zk 2;
step three: using formulas
Obtaining solution integrity JD of the employees, wherein p1 and p2 are fixed values of preset proportion; TD is an intelligibility value sent by a client; the answer of the staff is closer to the answer, the greater the answer integrity value of the staff is, the more complete the resource for the staff to consult the client is, the greater the comprehension value sent by the client is, and the greater the answer integrity value of the staff is;
step four: the consultation statistic module sends the answer integrity to the server for storage;
the employee recommendation module is used for analyzing and calculating employee recommendation values of the financial consulting company; the specific calculation steps are as follows:
the method comprises the following steps: when the employee recommendation module detects that the answer completeness and the exercise severity of the employee are increased, the employee recommendation module generates a corresponding employee extraction instruction and sends the employee extraction instruction to the server;
step two: after receiving the employee extraction instruction, the server sends all the answer integrity, exercise fidelity values and the employee enrollment time corresponding to the employee recommendation module;
step three: calculating the employee attendance duration according to the employee attendance time and the current system time; marking the time length of the job as RT;
step four: using formulas
Acquiring an employee recommended value TJ of an employee; wherein x1, x2 and x3 are all preset proportionality coefficients; mu is a correction coefficient, and the value is 5.899324; the employee recommendation method comprises the following steps that (1) the formula is obtained, the greater the answer integrity of the employee is, the greater the employee recommendation value is, and the greater the probability that the employee is recommended to a client is represented; the greater the exercise fidelity value of the employee is, the greater the employee recommendation value is; the longer the time length of the employee is, the larger the employee recommendation value is;
step five: setting staff consultation grade as Dc; c is 1, … …, n; the employee consultation level Dc corresponds to a value interval (d)c，dc+1]；d1<……<dc(ii) a The value space of D1 is minimum; when the recommended value TJ of the employee belongs to the value range (d)c，dc+1]If the employee consultation level is Dc, the employee consultation level is Dc;
step six: the employee recommendation module sends the employee recommendation value of the employee and the corresponding employee consultation grade to the server for storage;
the client login module is used for providing client registration information for a client and logging in a server; the customer registration information includes name, phone, and job name; the financial knowledge database is used for storing the questions of the financial consultation and the corresponding answer;
the client point module comprises an acquisition unit and a point calculation unit; the acquisition unit is used for acquiring the access times of a client for logging in the server, the total number of problems sent by the client and the total consultation cost paid by the client through the mobile phone terminal; the acquisition unit is used for acquiring the number of access times of a client for logging in a server, the total number of problems sent by the client and the total consultation fee value sending integral value calculation unit paid by the client through a mobile phone terminal, and the specific calculation steps of the integral value calculation unit for the client are as follows:
the method comprises the following steps: setting total consultation cost MN paid by a client; the access times of the client logging in the server are recorded as PM; the total number of questions sent by the client is recorded as PT;
step two: using formulas
Acquiring a customer integral value KJ; wherein f1, f2 and f3 are all preset fixed values of proportionality coefficients;
step three: the client integration module sends the client integration value to the server for storage; when the customer integral value belongs to the value range (d)c，dc+1](ii) a The client consults all employees corresponding to the employee level Dc for the recommended employee.
The working principle of the invention is as follows: the knowledge practice module is used for the staff to practice knowledge in the off-duty time, the staff of the financial consulting company logs in the server through the staff login module and sends a practice instruction to the server, and the server sends the name of the staff, the financial consulting category and the practice progress to the knowledge practice module after receiving the practice instruction; the knowledge exercise module sends corresponding financial exercise test questions to the staff according to the exercise progress; the employee submits a question starting instruction to the practice analysis module through the mobile phone terminal, the employee sends a question answer to the knowledge practice module through the mobile phone terminal, and the employee practices the financial knowledge through the off-duty time, so that the mastering degree of the financial knowledge can be improved, and the consultation and answer for the client can be better facilitated; performing exercise fidelity value analysis on the exercise video of the staff through an exercise analysis module, and decomposing the exercise video into m frames of static pictures according to a time sequence; carrying out eye positioning detection on each frame of static picture; counting the number of the static images of the eyes, and acquiring exercise time T according to the starting timing of the exercise analysis module and the stopping timing of the exercise analysis module; obtaining exercise scores stored in a server and utilizing a formula
Obtaining the practice of obtaining employeesLearned fidelity value RAij(ii) a When the employee does exercises, the more times the eyes are collected, the larger the exercise fidelity value of the employee is, and the more serious the employee exercises are; the closer the exercise time is to twenty minutes, the greater the value of the exercise fidelity of the employee; the larger the exercise score is, the larger the exercise fidelity value of the employee is; by analyzing the fidelity of the employee in the practice, the attitude of the employee to be practiced can be obtained; the consulting and exchanging module is used for analyzing and counting the answer values of the staff, the questions sent by the client are sent to the server, the server receives the questions sent by the client and then sends the answer answers to the consulting and exchanging module according to the answer answers corresponding to the questions stored in the financial knowledge database; the consulting statistic module matches the answers of the corresponding staff with the answer answers to obtain the number of the overlapped words; using formulas
Obtaining solution integrity JD of the employees, wherein p1 and p2 are fixed values of preset proportion; TD is the understandable value that the customer sends; the closer the answer of the staff is to the answer, the larger the answer integrity value of the staff is, the more complete the resource representing the consultation of the staff to the client is, the larger the comprehension value sent by the client is, and the larger the answer integrity value of the staff is; by analyzing the complete solution value of the employee, the solution condition of the employee to the client can be obtained.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (6)
1. An employee data management system for a financial consulting company is characterized by comprising an employee login module, a server, a knowledge practice module, a practice analysis module, a financial knowledge database, a consultation exchange module, a consultation statistic module, an employee recommendation module, a client login module and a client integration module;
the employee login module is used for inputting employee information and sending the employee information to the server for storage, wherein the employee information comprises names, enrollment time, financial consultation categories and contact calls; the knowledge practice module is used for the staff to practice knowledge in the next shift time, and the specific practice steps are as follows:
the method comprises the following steps: the method comprises the following steps that employees of a financial consulting company log in a server through an employee login module and send exercise instructions to the server, and the server sends names of the employees, financial consulting categories and exercise progress to a knowledge exercise module after receiving the exercise instructions;
step two: marking the financial consulting category as Ai, i ═ 1, … …, n; each financial consulting category comprises j exercise schedules and is labeled as Aij(ii) a j is 1, … …, n; the exercise progress is composed of a plurality of financial exercise questions; the knowledge exercise module sends corresponding financial exercise questions to the staff according to the exercise progress; the concrete expression is as follows: when the employee does not have the exercise progress, the knowledge exercise module sends the exercise progress Ai1Corresponding financial practice test questions are sent to mobile phone terminals of the employees, and when the practice progress of the employees is AijThen the knowledge exercise module sends an exercise progress Aij+1The corresponding financial exercise test questions are sent to the mobile phone terminals of the employees;
step three: the employee submits a question-making starting instruction to the exercise analysis module through the mobile phone terminal, the exercise analysis module starts timing, and meanwhile the mobile phone terminal starts to shoot videos for the employee through the camera; the employee submits a question-making finishing instruction to the exercise analysis module through the mobile phone terminal, the exercise analysis module stops timing, and meanwhile the mobile phone terminal stops shooting videos;
step four: the employee sends the answers to the questions to the knowledge exercise module through the mobile phone terminal, and simultaneously sends the shot exercise video to the exercise analysis module;
step five: the knowledge exercise module compares the answers to the questions with the corresponding correct answers to obtain exercise scores and sends the exercise scores to the server for storage; when the exercise score is lower than a set threshold value, the exercise progress of the employee is the exercise progress of the current question making;
the exercise analysis module is used for analyzing the exercise video to obtain the seriousness of the exercise video, and the specific analysis steps are as follows:
s1: decomposing the exercise video into m frames of static pictures according to the time sequence; carrying out eye positioning detection on each frame of static picture; when the static picture is detected to comprise eyes, the static picture is marked as an eye static picture;
s2: counting the number of the eye static pictures and marking the number as TY;
s3: obtaining exercise time T according to the start of timing of the exercise analysis module and the stop of timing of the exercise analysis module;
s3: acquiring exercise scores stored in a server, and recording the exercise scores as MA;
s4: using formulas
Obtaining a training fidelity value RAi of the employeej(ii) a Wherein v1, v2 and v3 are fixed values of preset proportions;
s5: the exercise analysis module sends the exercise fidelity degree value of the employee to the server for storage.
2. The employee data management system for financial consulting companies as in claim 1, wherein said consulting exchange module is used for financial consulting and answering for the employees of financial consulting companies to clients, and the communication steps are as follows:
the method comprises the following steps: the client accesses the consultation communication module through the mobile phone terminal; the consultation exchange module matches the corresponding staff consultation grade according to the client integral value of the client;
step two: acquiring all employees corresponding to the employee consultation levels and corresponding employee recommendation values; sorting according to the recommended values of the employees from big to small, and screening out the employees corresponding to the top five recommended values to recommend to the client;
step three: the client inputs the staff to be consulted through the mobile phone terminal and generates a corresponding staff consultation instruction to the consultation communication module, and the consultation communication module establishes communication connection between the client and the corresponding staff according to the corresponding staff consultation instruction; after the consultation of the client and the corresponding staff is finished, the client inputs an understandable value to the consultation communication module through the mobile phone terminal;
step four: the consultation exchange module collects the questions, the comprehension values and the answers of the corresponding employees sent by the client and sends the questions, the comprehension values and the answers to the corresponding employees to the consultation statistic module.
3. A staff data management system for financial consulting companies as in claim 2, wherein said consulting statistics module is used for analyzing and counting the answer values of staff, and the specific analysis steps are as follows:
the method comprises the following steps: the method comprises the steps that questions sent by a client are sent to a server, the server receives the questions sent by the client, and then the server sends answer answers to a consultation statistic module according to answer values corresponding to the questions stored in a retrieval financial knowledge database; setting the problem sent by the client as Wk, wherein k is 1, … … and n;
step two: the consulting statistic module matches the answers of the corresponding staff with the answer answers to obtain the number of the overlapped words; setting the number of coincident words as Zk1, and the number of words of answer as Zk 2;
step three: using a formula
Obtaining the solution value integrity JD of the employee, wherein p1 and p2 are both preset proportion fixed values; TD is the understandable value that the customer sends;
step four: and the consultation statistic module sends the solution integrity to the server for storage.
4. An employee data management system for a financial consulting company as in claim 3, wherein said employee recommendation module is adapted to analyze and calculate employee recommendation values for the financial consulting company; the specific calculation steps are as follows:
the method comprises the following steps: when the employee recommendation module detects that the answer completeness and the exercise severity of the employee are increased, the employee recommendation module generates a corresponding employee extraction instruction and sends the employee extraction instruction to the server;
step two: after receiving the employee extraction instruction, the server sends all the answer integrity, exercise fidelity values and the employee enrollment time corresponding to the employee recommendation module;
step three: calculating the employee attendance duration according to the employee attendance time and the current system time; marking the time length of the job as RT;
step four: using formulas
Acquiring an employee recommended value TJ of an employee; wherein x1, x2 and x3 are all preset proportionality coefficients; mu is a correction coefficient, and the value is 5.899324;
step five: setting staff consultation grade as Dc; c is 1, … …, n; the employee consultation level Dc corresponds to a value interval (d)c，dc+1]；d1<……<dc(ii) a The value space of D1 is minimum; when the recommended value TJ of the employee belongs to the value range (d)c，dc+1]If the employee consultation level is Dc, the employee consultation level is Dc;
step six: and the employee recommendation module sends the employee recommendation value of the employee and the corresponding employee consultation grade to the server for storage.
5. A staff data management system for a financial consulting company as in claim 1, wherein said client login module is for a client to provide client registration information and login to a server; the customer registration information includes name, phone, and job name; and the financial knowledge database is used for storing the questions of the financial consultation and the corresponding answer.
6. A staff data management system for a financial consulting company as in claim 4, wherein said client points module includes an acquisition unit and a points calculation unit; the acquisition unit is used for acquiring the access times of a client for logging in the server, the total number of problems sent by the client and the total consultation cost paid by the client through the mobile phone terminal; the acquisition unit transmits the acquired access times of the client logging in the server, the total number of the problems sent by the client and the total consultation cost paid by the client through the mobile phone terminal to the integral calculation unit, and the specific calculation steps of the integral value of the client by the integral calculation unit are as follows:
the method comprises the following steps: setting total consultation cost MN paid by a client; the access times of the client logging in the server are recorded as PM; the total number of questions sent by the client is recorded as PT;
step two: using formulas
Acquiring a customer integral value KJ; wherein f1, f2 and f3 are all preset fixed values of proportionality coefficients;
step three: the client integration module sends the client integration value to the server for storage; when the customer integral value belongs to the value range (d)c，dc+1](ii) a The client consults all employees corresponding to the employee level Dc for the recommended employee.
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