WO2019091097A1

WO2019091097A1 - Training class-hour fee processing method, application server and computer-readable storage medium

Info

Publication number: WO2019091097A1
Application number: PCT/CN2018/089191
Authority: WO
Inventors: 陈龙
Original assignee: 平安科技（深圳）有限公司
Priority date: 2017-11-08
Filing date: 2018-05-31
Publication date: 2019-05-16
Also published as: CN107909341A

Abstract

Disclosed is a training class-hour fee processing method. The method comprises: setting training modes, a course level, a lecturer level and a corresponding rate, wherein the training modes comprise on-site training and remote training; acquiring information of a training course that has been finished, and information of a corresponding lecturer; for each lecturer, acquiring all the class hour records according to different training modes; according to the acquired class hour records, calculating the total class hours, corresponding to each of the training modes, of the lecturer; and according to the total class hours corresponding to each of the training modes, and the set rate, calculating a total class-hour fee of the lecturer. Further provided are an application server and a computer-readable storage medium. The training class-hour fee processing method, the application server and the computer-readable storage medium provided in the present application can save on labor and time, and have strong applicability.

Description

Training time processing method, application server and computer readable storage medium

Priority claim

This application claims the priority of the Chinese patent application filed on November 8, 2017, the Chinese Patent Office, the application number is 201711087780.8, and the invention name is “training time processing method, application server and computer readable storage medium”. This is incorporated herein by reference.

Technical field

The present application relates to the field of education and training technologies, and in particular, to a training time processing method, an application server, and a computer readable storage medium.

Background technique

At present, the teacher's class fee is issued. The administrator needs to take out the curriculum from the training management system, calculate the class fee, and then approve the report. After the approval, upload the data in the channel management system and issue it. The process is long and the process is cumbersome. Moreover, for different course levels and instructor levels, as well as off-site training methods, there is no uniform and effective way to calculate the corresponding class fees.

Summary of the invention

In view of this, the present application proposes a training class time processing method, an application server, and a computer readable storage medium to solve the problem of how to calculate and distribute the class time fee simply and effectively.

First of all, in order to achieve the above object, the present application proposes a training class time processing method, the method comprising the steps of:

Setting a training mode, a course level, an instructor level, and a corresponding rate, wherein the training method includes on-site training and remote training, and the rate is a corresponding class hour fee for each hour of the course, and the course level and the lecturer level are more High, the corresponding rate is higher;

Obtain course information and corresponding instructor information for completed training;

For each instructor, obtain all class hours according to different training methods;

Calculating the total class time of the lecturer corresponding to each training mode according to the obtained time record; and

The total class time fee of the lecturer is calculated according to the total class hours of each training method and the set rate.

In addition, in order to achieve the above object, the present application further provides an application server, including a memory and a processor, where the memory stores a training time processing system that can be run on the processor, and the training time processing system The following steps are implemented when executed by the processor:

Further, in order to achieve the above object, the present application further provides a computer readable storage medium storing a training time fee processing system, the training time processing system being executable by at least one processor, The step of causing the at least one processor to perform the training time fee processing method as described above.

Compared with the prior art, the training time processing method, the application server and the computer readable storage medium proposed by the present application can set different rates according to the course level and the instructor level, and various training methods for each lecturer. (On-site training, remote training, etc.), calculate or convert the total class hours according to the preset rules, and then get the total class time fee of the instructor, and automatically report for approval and issuance. It can shorten the process, reduce the intermediate manual operation, save manpower and time, and avoid human error. And for various training methods and different course levels and lecturer levels, the corresponding time-based fees can be counted uniformly according to the corresponding preset rules, and the applicability is strong.

DRAWINGS

1 is a schematic diagram of an optional application environment of each embodiment of the present application;

2 is a schematic diagram of an optional hardware architecture of the application server of FIG. 1;

3 is a schematic diagram of a program module of a first embodiment of a training fee processing system of the present application;

4 is a schematic diagram of a program module of a second embodiment of the training fee processing system of the present application;

5 is a schematic diagram of a program module of a third embodiment of the training fee processing system of the present application;

6 is a schematic flow chart of a first embodiment of a method for processing a training course fee according to the present application;

7 is a schematic flow chart of a second embodiment of a method for processing a training course fee according to the present application;

FIG. 8 is a schematic flow chart of a third embodiment of a method for processing a training fee according to the present application.

Reference mark:

应用服务器 application server	22
网络The internet	33
考勤装置 Attendance device	44
远程培训终端Remote training terminal	55
存储器Memory	1111
处理器processor	1212
网络接口Network Interface	1313
培训课时费处理系统Training time processing system	200200
设置模块 Setting module	201201

获取模块 Acquisition module	202202
计算模块 Calculation module	203203
上报模块 Reporting module	204204
发放模块 Distribution module	205205
确认模块 Confirmation module	206206

The implementation, functional features and advantages of the present application will be further described with reference to the accompanying drawings.

Detailed ways

In order to make the objects, technical solutions, and advantages of the present application more comprehensible, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope are the scope of the present application.

It should be noted that the descriptions of "first", "second" and the like in the present application are for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. . Thus, features defining "first" or "second" may include at least one of the features, either explicitly or implicitly. In addition, the technical solutions between the various embodiments may be combined with each other, but must be based on the realization of those skilled in the art, and when the combination of the technical solutions is contradictory or impossible to implement, it should be considered that the combination of the technical solutions does not exist. Nor is it within the scope of protection required by this application.

Referring to FIG. 1 , it is a schematic diagram of an optional application environment of each embodiment of the present application.

In this embodiment, the present application is applicable to an application environment including, but not limited to, an application server 2, a network 3, an attendance device 4, and a remote training terminal 5. The mobile terminal 1 may be a mobile phone, a smart phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a navigation device, an in-vehicle device, etc. Mobile devices such as, and fixed terminals such as digital TVs, desktop computers, notebooks, servers, and the like. The application server 2 may be a computing device such as a rack server, a blade server, a tower server, or a rack server. The application server 2 may be a stand-alone server or a server cluster composed of multiple servers. The network 3 may be an intranet, an Internet, a Global System of Mobile communication (GSM), a Wideband Code Division Multiple Access (WCDMA), a 4G network, Wireless or wired networks such as 5G networks, Bluetooth, Wi-Fi, and call networks. The attendance device 4 may be a device for recording attendance data during on-site training, such as a fingerprint attendance machine, a card attendance machine, and the like. The remote training terminal 5 may be a terminal device for learning an online course by remotely logging in to a remote training system, including a mobile phone, a smart phone, a notebook computer, a PDA (Personal Digital Assistant), a PAD (Tablet), and a PMP. A mobile terminal such as a portable multimedia player, and a fixed terminal such as a digital TV, a desktop computer, a server, or the like.

The application server 2 is respectively connected to one or more of the mobile terminals 1 (only one shown in the figure) through the network 3, and each of the mobile terminals 1 is installed and operated. The application client corresponding to the application server 2 (hereinafter referred to as "mobile terminal client"). The mobile terminal client is configured to create a long connection between the mobile terminal client and the application server 2 in response to an operation of the mobile terminal user, so that the mobile terminal client can pass the long connection and the The application server 2 performs data transmission and interaction.

Referring to FIG. 2, it is a schematic diagram of an optional hardware architecture of the application server 2 in FIG. In this embodiment, the application server 2 may include, but is not limited to, the memory 11, the processor 12, and the network interface 13 being communicably connected to each other through a system bus. It is to be noted that FIG. 2 only shows the application server 2 with components 11-13, but it should be understood that not all illustrated components may be implemented, and more or fewer components may be implemented instead.

The memory 11 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (eg, SD or DX memory, etc.), and a random access memory (RAM). , static random access memory (SRAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), programmable read only memory (PROM), magnetic memory, magnetic disk, optical disk, and the like. In some embodiments, the memory 11 may be an internal storage unit of the application server 2, such as a hard disk or memory of the application server 2. In other embodiments, the memory 11 may also be an external storage device of the application server 2, such as a plug-in hard disk equipped on the application server 2, a smart memory card (SMC), and a secure digital number. (Secure Digital, SD) card, flash card, etc. Of course, the memory 11 can also include both the internal storage unit of the application server 2 and its external storage device. In this embodiment, the memory 11 is generally used to store an operating system installed on the application server 2 and various types of application software, such as program code of the training class hour processing system 200. Further, the memory 11 can also be used to temporarily store various types of data that have been output or are to be output.

The processor 12 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 12 is typically used to control the overall operation of the application server 2. In this embodiment, the processor 12 is configured to run program code or process data stored in the memory 11, such as running the training class fee processing system 200 and the like.

The network interface 13 may comprise a wireless network interface or a wired network interface, which is typically used to establish a communication connection between the application server 2 and other electronic devices. In this embodiment, the network interface 13 is mainly used to connect the application server 2 to one or more of the attendance device 4 and the remote training terminal 5 through the network 3, in the application server 2 and the A data transmission channel and a communication connection are established between the one or more attendance devices 4 and the remote training terminal 5.

So far, the application environment of the various embodiments of the present application and the hardware structure and functions of related devices have been described in detail. Hereinafter, various embodiments of the present application will be proposed based on the above-described application environment and related devices.

First, the present application proposes a training class hour fee processing system 200.

Referring to FIG. 3, it is a program module diagram of the first embodiment of the training course fee processing system 200 of the present application. In this embodiment, the training course fee processing system 200 includes a series of computer program instructions stored in the memory 11, and when the computer program instructions are executed by the processor 12, the training course fee of each embodiment of the present application can be implemented. Processing operations. In some embodiments, the training session fee processing system 200 can be divided into one or more modules based on the particular operations implemented by the various portions of the computer program instructions. For example, in FIG. 3, the training class hour fee processing system 200 can be divided into a setting module 201, an obtaining module 202, and a computing module 203. among them:

The setting module 201 is configured to set a training mode, a course level, an instructor level, and a corresponding rate.

Specifically, the training methods include on-site training, remote training, and the like. When it is on-site training, the class time is calculated directly from the above class time. When it is remote training, you can convert the online course's click rate, watch time, number of questions or duration on the line to the corresponding class time according to the preset rules. The rate is the corresponding course fee for each hour of the course. Generally speaking, the higher the course level and the lecturer level, the higher the corresponding rate. In addition, for different training methods, the corresponding rates can be set to the same or different.

The obtaining module 202 is configured to acquire course information and corresponding lecturer information of the completed training.

Specifically, for the completed training course, the course name, training method, course level and other information of the course, as well as the corresponding lecturer name, lecturer level and other information are obtained. When there are multiple lecturers in a course, the follow-up can be calculated according to the attendance record and the lecturer level of the lecturer.

The obtaining module 202 is further configured to acquire, for each lecturer, all the class time records according to different training modes.

Specifically, when the training mode is on-site training, the attendance device 4 may collect attendance data according to fingerprint attendance, credit card attendance, and the like, thereby recording data of the lecturer's class time and class time. The obtaining module 202 acquires, from the attendance device 4, the recorded data of the lecturer's class time, class time, and the like. When the training mode is remote training, the student logs in to the remote training system to learn the online course through the remote training terminal 5, and the obtaining module 202 can obtain the click rate and the viewing time of the online course recorded in the remote training system. Answer data such as the number of questions or duration on the line.

The calculating module 203 is configured to calculate, according to the acquired time record, the total class time of the lecturer corresponding to each training mode.

Specifically, for on-the-spot training, the total class time is calculated based on the record of each lecture time and class time of the lecturer. For remote training, according to the online course's click rate, viewing time, online answering the number of questions or the length of the record, converted to the total class time according to the preset rules. The preset rule is, for example, one hour for each student to watch the online course, and one minute for the total class time. For example, when answering five questions online, it is recorded as one hour in the total class time.

The calculation module 203 is further configured to calculate the total class time fee of the lecturer according to the total class time of each training mode and the set rate.

Specifically, the rates corresponding to the on-site training and the remote training are queried according to the course level and the lecturer level, and then the lecturer's class fee for the on-site training and the remote training is separately calculated, thereby obtaining the total class time fee.

Referring to FIG. 4, it is a program module diagram of a second embodiment of the training fee processing system 200 of the present application. In this embodiment, the training course fee processing system 200 includes a reporting module 204 and a distribution module 205 in addition to the setting module 201, the obtaining module 202, and the computing module 203 in the first embodiment.

The reporting module 204 is configured to report the calculated total class time fee of each lecturer and approve the approval result.

Specifically, after calculating the total class time fee of each lecturer, a pending report is generated, and the approval process is automatically initiated, and the relevant approval personnel or institutions are notified to perform the approval, and the approval result is tracked. In this embodiment, the approval notice can be sent to the relevant approver or institution by mail. After the approval process is completed, the approval result is received, and the approval result includes approval approval and approval failure.

The issuance module 205 is configured to import a financial system for class time payment.

Specifically, after receiving the result of the approval, the total tuition fee of each lecturer is introduced into the financial system, and the financial system is notified to issue a corresponding class fee for each lecturer.

Referring to FIG. 5, it is a program module diagram of a third embodiment of the training course fee processing system 200 of the present application. In this embodiment, the training class fee processing system 200 further includes a confirmation module 206 based on the second embodiment.

The confirmation module 206 is configured to send the obtained total class time fee to the corresponding lecturer for confirmation before the report module 204 performs the report.

Specifically, the calculated total tuition fee of the lecturer and the total class hours of the on-site training and the remote training are sent to the lecturer to confirm whether the calculation result is correct. In this embodiment, the total class hour fee and the total class hour can be sent to the lecturer for confirmation by mail. In other embodiments, in addition to confirming the total class hour fee and the total class time, the original class time record, that is, the time of each lecture time of the lecturer, the time of the class time, and the lecture time of the lecturer during the remote training may be recorded. The online course's click rate, watch time, online answer to the number of questions or duration records are sent to the instructor for verification.

In addition, the present application also proposes a method for processing the training time fee.

Referring to FIG. 6, it is a schematic flowchart of the first embodiment of the method for processing the training time fee of the present application. In this embodiment, the order of execution of the steps in the flowchart shown in FIG. 6 may be changed according to different requirements, and some steps may be omitted.

In step S600, a training mode, a course level, an instructor level, and a corresponding rate are set.

Specifically, the training methods include on-site training, remote training, and the like. When it is on-site training, the class time is calculated directly from the above class time. When it is remote training, you can convert the online course's click rate, watch time, number of questions or duration on the line to the corresponding class time according to the preset rules. The rate is the corresponding course fee for each hour of the course. Generally speaking, the higher the course level and the lecturer level, the higher the corresponding rate.

Step S602, acquiring course information and corresponding lecturer information of the completed training.

In step S604, for each lecturer, all the class hours records are obtained according to different training methods.

Specifically, when the training mode is on-site training, the attendance device 4 may collect attendance data according to fingerprint attendance, credit card attendance, and the like, thereby recording data of the lecturer's class time and class time. Therefore, the recorded data of the lecturer's class time, class time, and the like can be obtained from the attendance device 4. When the training method is remote training, the student logs in to the remote training system to learn the online course through the remote training terminal 5, so the click rate and the viewing time of the online course recorded in the remote training system can be obtained, and the problem is answered online. Data such as the number or duration.

Step S606, calculating, according to the acquired time record, the total class time of the lecturer corresponding to each training mode.

Specifically, for on-the-spot training, the total class time is calculated based on the record of each lecture time and class time of the lecturer. For remote training, according to the online course's click rate, viewing time, online answering the number of questions or the length of the record, converted to the total class time according to the preset rules. The preset rule is, for example, one hour for each student to watch the online course, and one minute for the total class time. For another example, when answering five questions online, it is recorded as one hour in the total class time.

In step S608, the total class time fee of the lecturer is calculated according to the total class time of each training mode and the set rate.

FIG. 7 is a schematic flowchart diagram of a second embodiment of a method for processing a training fee of the present application. In this embodiment, the steps S700-S708 of the training class fee processing method are similar to the steps S600-S608 of the first embodiment, except that the method further includes steps S710-S712.

The method includes the following steps:

In step S700, a training mode, a course level, an instructor level, and a corresponding rate are set.

Step S702, acquiring course information and corresponding lecturer information of the completed training.

In step S704, for each lecturer, all the class hours records are obtained according to different training methods.

Step S706, calculating, according to the acquired time record, the total class time of the lecturer corresponding to each training mode.

Step S708, calculating the total class time fee of the lecturer according to the total class time of each training mode and the set rate.

In step S710, the calculated total class time fee of each lecturer is reported and approved, and the approval result is tracked.

In step S712, the financial system is introduced to perform the class fee payment.

As shown in FIG. 8, it is a schematic flowchart of a third embodiment of the method for processing the training time fee of the present application. In this embodiment, the steps S800-S808 and S812-S814 of the training course fee processing method are similar to the steps S700-S712 of the second embodiment, except that the method further includes step S810 between steps S808 and S812.

The method includes the following steps:

In step S800, a training mode, a course level, an instructor level, and a corresponding rate are set.

Step S802, acquiring course information and corresponding lecturer information of the completed training.

In step S804, for each lecturer, all the class hours records are obtained according to different training methods.

Step S806, calculating, according to the acquired time record, the total class time of the lecturer corresponding to each training mode.

In step S808, the total class time fee of the lecturer is calculated according to the total class time of each training mode and the set rate.

In step S810, the obtained total class time fee is sent to the corresponding lecturer for confirmation.

In step S812, the total class time fee of each lecturer after confirmation is reported to the approval, and the approval result is tracked.

Specifically, after each lecturer confirms the total class time fee, a pending report is generated, and the approval process is automatically initiated, and the relevant approval personnel or institutions are notified to perform the approval, and the approval result is tracked. In this embodiment, the approval notice can be sent by email to the relevant approver or institution. After the approval process is completed, the approval result is received, and the approval result includes approval approval and approval failure.

In step S814, the financial system is introduced to issue the class fee.

The serial numbers of the embodiments of the present application are merely for the description, and do not represent the advantages and disadvantages of the embodiments.

Through the description of the above embodiments, those skilled in the art can clearly understand that the foregoing embodiment method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be through hardware, but in many cases, the former is better. Implementation. Based on such understanding, the technical solution of the present application, which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk, The optical disc includes a number of instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the methods described in various embodiments of the present application.

The above is only a preferred embodiment of the present application, and is not intended to limit the scope of the patent application, and the equivalent structure or equivalent process transformations made by the specification and the drawings of the present application, or directly or indirectly applied to other related technical fields. The same is included in the scope of patent protection of this application.

Claims

A training course fee processing method is applied to an application server, characterized in that the method comprises the steps of:

Setting a training mode, a course level, an instructor level, and a corresponding rate, wherein the training method includes on-site training and remote training, and the rate is a corresponding class hour fee for each hour of the course, and the course level and the lecturer level are more High, the corresponding rate is higher;

Obtain course information and corresponding instructor information for completed training;

For each instructor, obtain all class hours according to different training methods;

Calculating the total class time of the lecturer corresponding to each training mode according to the obtained time record; and

The total class time fee of the lecturer is calculated according to the total class hours of each training method and the set rate.
The training course fee processing method according to claim 1, wherein the course information includes a training method and a course level.
The training class fee processing method according to claim 1, wherein the lecturer information includes a lecturer name and an instructor level.
The method of processing a training hour fee according to claim 1, wherein the method further comprises the steps of:

Generate a pending report for each lecturer's total class time fee, automatically initiate the approval process, send the approval notice to the relevant approval personnel or organization by mail, and receive the approval result after the approval process is completed;

After receiving the results of the approval, the total class time fee of each lecturer is introduced into the financial system for the time fee.
The training class fee processing method according to claim 4, wherein the method further comprises the steps before the reporting:

The total class time fee and the total class hours of each training method are sent to the corresponding lecturer for confirmation by mail, and the original class time record is simultaneously sent to the lecturer for verification.
The method for processing a training course fee according to claim 1, wherein the step of obtaining all the class time records according to different training modes comprises:

When the training mode is on-the-spot training, obtaining the lecturer's class time and class time recorded by the attendance device according to the collected attendance data;

When the training method is remote training, the click rate, the viewing time, and the number of questions or durations of the online courses recorded in the remote training system are obtained.
The method for processing a training class time fee according to claim 6, wherein the step of calculating the total class time of the lecturer corresponding to each training mode according to the acquired time record comprises:

For on-the-spot training, calculate the total class time according to the record of each lecture time and class time of the lecturer;

For remote training, according to the online course's click rate, viewing time, online answering the number of questions or the length of the record, converted to the total class time according to the preset rules.
An application server, comprising: a memory, a processor, and a memory time processing system operable on the processor, wherein the training time processing system is The processor implements the following steps when it executes:

Setting a training mode, a course level, an instructor level, and a corresponding rate, wherein the training method includes on-site training and remote training, and the rate is a corresponding class hour fee for each hour of the course, and the course level and the lecturer level are more High, the corresponding rate is higher;

Obtain course information and corresponding instructor information for completed training;

For each instructor, obtain all class hours according to different training methods;

Calculating the total class time of the lecturer corresponding to each training mode according to the obtained time record; and

The total class time fee of the lecturer is calculated according to the total class hours of each training method and the set rate.
The application server according to claim 8, wherein said course information includes a training method and a course level.
The application server of claim 8 wherein said instructor information comprises an instructor name and an instructor level.
The application server according to claim 8, wherein said training time processing system is further implemented when said processor executes:

Generate a pending report for each lecturer's total class time fee, automatically initiate the approval process, send the approval notice to the relevant approval personnel or organization by mail, and receive the approval result after the approval process is completed;

After receiving the results of the approval, the total class time fee of each lecturer is introduced into the financial system for the time fee.
The application server according to claim 11, wherein the step of automatically initiating the approval process further comprises the steps of:

The total class time fee and the total class hours of each training method are sent to the corresponding lecturer for confirmation by mail, and the original class time record is simultaneously sent to the lecturer for verification.
The application server according to claim 8, wherein the step of obtaining all the class time records according to different training modes comprises:

When the training mode is on-the-spot training, obtaining the lecturer's class time and class time recorded by the attendance device according to the collected attendance data;

When the training method is remote training, the click rate, the viewing time, and the number of questions or durations of the online courses recorded in the remote training system are obtained.
The application server according to claim 13, wherein the step of calculating the total class time of the lecturer corresponding to each training mode according to the acquired time record comprises:

For on-the-spot training, calculate the total class time according to the record of each lecture time and class time of the lecturer;

For remote training, according to the online course's click rate, viewing time, online answering the number of questions or the length of the record, converted to the total class time according to the preset rules.
A computer readable storage medium storing a training time fee processing system, the training time processing system being executable by at least one processor to cause the at least one processor to perform the following steps:

Setting a training mode, a course level, an instructor level, and a corresponding rate, wherein the training method includes on-site training and remote training, and the rate is a corresponding class hour fee for each hour of the course, and the course level and the lecturer level are more High, the corresponding rate is higher;

Obtain course information and corresponding instructor information for completed training;

For each instructor, obtain all class hours according to different training methods;

Calculating the total class time of the lecturer corresponding to each training mode according to the obtained time record; and

The total class time fee of the lecturer is calculated according to the total class hours of each training method and the set rate.
The computer readable storage medium of claim 15, wherein the course information comprises a training method and a course level, the lecturer information including a lecturer name and an instructor level.
The computer readable storage medium of claim 15 wherein said training time processing system is further implemented when said processor is executed:

Generate a pending report for each lecturer's total class time fee, automatically initiate the approval process, send the approval notice to the relevant approval personnel or organization by mail, and receive the approval result after the approval process is completed;

After receiving the results of the approval, the total class time fee of each lecturer is introduced into the financial system for the time fee.
The computer readable storage medium of claim 17, further comprising the steps of: before said automatically initiating an approval process:

The total class time fee and the total class hours of each training method are sent to the corresponding lecturer for confirmation by mail, and the original class time record is simultaneously sent to the lecturer for verification.
The computer readable storage medium according to claim 15, wherein the step of obtaining all the class time records according to different training modes comprises:

When the training mode is on-the-spot training, obtaining the lecturer's class time and class time recorded by the attendance device according to the collected attendance data;

When the training method is remote training, the click rate, the viewing time, and the number of questions or durations of the online courses recorded in the remote training system are obtained.
The computer readable storage medium according to claim 19, wherein the step of calculating the total class time of the lecturer corresponding to each training mode according to the acquired time record comprises:

For on-the-spot training, calculate the total class time according to the record of each lecture time and class time of the lecturer;

For remote training, according to the online course's click rate, viewing time, online answering the number of questions or the length of the record, converted to the total class time according to the preset rules.