WO2019095674A1

WO2019095674A1 - Training hours computing method, application server and computer readable storage medium

Info

Publication number: WO2019095674A1
Application number: PCT/CN2018/089877
Authority: WO
Inventors: 陈龙
Original assignee: 平安科技（深圳）有限公司
Priority date: 2017-11-15
Filing date: 2018-06-05
Publication date: 2019-05-23
Also published as: CN108038587A

Abstract

Disclosed is a training hours computing method, the method comprising: acquiring course information; acquiring a list of trainees attending the course and basic information and training pattern of each trainee, the training pattern including on-the-job training, remote connection and online training; acquiring corresponding attendance record of each trainee according to the training pattern; and automatically computing, based on the attendance records, effective hours of each trainee in the course. The present application further provides an application server and a computer readable storage medium. According to the training hours computing method, the application server and the computer readable storage medium of the present application, training hours can be easily and accurately computed, and the method can adapt to various training patterns.

Description

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

This application claims the priority of the Chinese patent application filed on November 15, 2017, the Chinese Patent Office, the application number is 201711129663.3, and the invention name is "training time calculation method, application server and computer readable storage medium". The citations are incorporated herein by reference.

Technical field

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

Background technique

Now the trainer's time calculation requires the trainee to sign the paper check-in form after the class. The administrator calculates it according to the paper check-in form and then enters the training management system. The operation process is cumbersome, the process is complicated, and it is easy to enter and calculate errors. And the training modes are varied, and not every training is necessarily in the form of a paper check-in.

Summary of the invention

In view of this, the present application proposes a training time calculation method, an application server, and a computer readable storage medium to solve the problem of how to easily and accurately calculate the time and adapt to various training modes.

First, in order to achieve the above object, the present application proposes a training time calculation method, which comprises the steps of:

Obtain course information;

Obtain a list of participants of the course and basic information and training mode of each student, including on-site training, remote connection and online training;

Obtaining corresponding attendance records of each student according to the corresponding preset attendance mode according to the training mode; and

The effective hours of each student in the course are automatically calculated based on the attendance record.

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 calculation system that can be run on the processor, where the training time calculation system is The following steps are implemented when the processor is executed:

Obtain course information;

Further, in order to achieve the above object, the present application further provides a computer readable storage medium storing a training time calculation system, the training time calculation system being executable by at least one processor, so that The at least one processor performs the steps of the training time calculation method as described above.

Compared with the prior art, the training time calculation method, the application server and the computer readable storage medium proposed by the present application can obtain the attendance record of the upper and lower classes according to the fingerprint or face recognition of the attendance machine, thereby automatically calculating the time. When remote connection and online training, you can also use the start time and end time of the connection, or watch the start time and end time of the training video as the attendance record. Moreover, based on the calculated hours and preset time requirements, it is also possible to automatically determine whether the student is up to standard in the course and whether the student is up to the standard in the year. It can save the trouble of paper check-in and manual calculation training, simplify the statistical work of time and improve the calculation accuracy.

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 time calculation system of the present application;

4 is a schematic diagram of a program module of a second embodiment and a third embodiment of the training time calculation system of the present application;

5 is a schematic flow chart of a first embodiment of a training time calculation method of the present application;

6 is a schematic flow chart of a second embodiment of a training time calculation method of the present application;

FIG. 7 is a schematic flow chart of a third embodiment of the training time calculation method of the present application.

Reference mark:

应用服务器 application server	22
网络The internet	33
考勤机 Attendance machine	44
远程连线终端 Remote connection terminal	55
线上培训终端Online training terminal	66
存储器Memory	1111
处理器processor	1212
网络接口Network Interface	1313
培训学时计算系统Training time calculation system	200200
获取模块 Acquisition module	201201
计算模块 Calculation module	202202
判断模块 Judgment module	203203

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 machine 4, a remote connection terminal 5, and an online training terminal 6. 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 an independent 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 machine 4 may be a device for recording attendance data during on-site training or remote training, such as a fingerprint attendance machine and a credit card attendance machine. The remote connection terminal 5 is a terminal device for participating in course training through remote connection. The online training terminal 6 is a terminal device for learning an online course by logging in to the online training system through the network 3. The remote connection terminal 5 and the online training terminal 6 may include mobile terminals such as mobile phones, smart phones, notebook computers, PDAs (personal digital assistants), PADs (tablets), PMPs (portable multimedia players), and the like. And fixed terminals such as digital TVs, desktop computers, servers, and the like.

The application server 2 is respectively connected to one or more of the attendance machine 4, the remote connection terminal 5, and the online training terminal 6 through the network 3 for 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 time calculation 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, such as performing control and processing related to data interaction or communication with the attendance machine 4, the remote connection terminal 5, the online training terminal 6. 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 time calculation 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 machine 4, the remote connection terminal 5, and the online training terminal 6 through the network 3. Establishing a data transmission channel and a communication connection between the application server 2 and the one or more attendance machines 4, the remote connection terminal 5, and the online training terminal 6.

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 time calculation system 200.

Referring to FIG. 3, it is a program module diagram of the first embodiment of the training time calculation system 200 of the present application. In this embodiment, the training time calculation 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 time calculation operation of the embodiments of the present application can be implemented. . In some embodiments, the training time calculation 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 time calculation system 200 can be divided into an acquisition module 201 and a calculation module 202. among them:

The obtaining module 201 is configured to acquire course information.

Specifically, the course information includes a course name, a class time, a class location, a class requirement, and the like.

The obtaining module 201 is further configured to obtain a list of the students of the course and basic information and training modes of each student.

Specifically, the basic information includes a name, a job number, a department, a fingerprint or a face image, an annual time requirement (may be another period), and the like. The training modes include on-site training, remote connection and online training.

The obtaining module 201 is further configured to obtain an attendance record corresponding to each student according to the training mode.

Specifically, different attendance methods are preset according to different training modes. When the training mode is on-site training and remote connection, the attendance record of the student's attendance can be obtained from the attendance machine 4 corresponding to the class and the remote connection location, for example, by fingerprint or face recognition. Attendance records for the class.

When the training mode is remotely connected and the remote connection site does not have a corresponding attendance machine 4, the connection start time and the end time may also be obtained from the remote connection terminal 5 as the remote connection location. Attendance records for students attending classes.

When the training mode is online training, the online training terminal 6 can obtain the start time and the end time of the online training video of the student to log in to the online training system to watch the course, as the attendance record of the student attending the class. .

The calculating module 202 is configured to automatically calculate, according to the attendance record, the effective hours of each student in the course.

Specifically, the class time of each class is calculated according to the time of the class in the attendance record, and then the effective time of the class for the course is counted. If there is only the attendance record during class or class, the class time of the class is invalid.

Referring to FIG. 4, it is a program module diagram of the second embodiment and the third embodiment of the training time calculation system 200 of the present application. In the second embodiment and the third embodiment, the training time calculation system 200 includes a determination module 203 in addition to the acquisition module 201 and the calculation module 202 in the first embodiment.

In the second embodiment, the determining module 203 is configured to determine, according to the time requirement of the course and the valid time, whether the student is up to standard in the course.

Specifically, when the student exceeds (greater than or equal to) the time requirement of the course at the effective time of the course, it indicates that the student has met the standard, and the course is passed or is eligible to take the course training test.

In the third embodiment, the obtaining module 201 is further configured to acquire an existing time record of the student.

Specifically, the existing hours refer to the hours that have been obtained prior to the course.

The determining module 203 is further configured to determine, according to the student's annual academic requirements, the existing hours, and the valid hours, whether the student is up to the standard in the year.

Specifically, when the sum of the student's existing class hours and the valid hours exceeds (greater than or equal to) the annual class time requirement, it indicates that the student has reached the standard in the year and has completed the training task for the year.

In addition, the present application also proposes a training time calculation method.

Referring to FIG. 5, it is a schematic flowchart of the first embodiment of the training time calculation method 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, the course information is obtained.

Step S602, obtaining a list of the students of the course and basic information and training mode of each student.

Specifically, the basic information includes a name, a job number, a department, a fingerprint or a face image, an annual class requirement (may be another period), and the like. The training modes include on-site training, remote connection and online training.

Step S604, obtaining the attendance record corresponding to each student according to the training mode.

Step S606, automatically calculating the effective time of each student in the course according to the attendance record.

The training time calculation method proposed in this embodiment can obtain the attendance record of the upper and lower classes according to the fingerprint or face recognition of the attendance machine, thereby automatically calculating the time of the class. When remote connection and online training, you can also use the start time and end time of the connection, or watch the start time and end time of the training video as the attendance record. It can save the trouble of paper check-in and manual calculation training, simplify the statistical work of time and improve the calculation accuracy.

FIG. 6 is a schematic flowchart diagram of a second embodiment of the training time calculation method of the present application. In this embodiment, the steps S700-S706 of the training time calculation method are similar to the steps S600-S606 of the first embodiment, except that the method further includes step S708.

The method includes the following steps:

Step S700, obtaining course information.

Step S702, obtaining a list of the students of the course and basic information and training mode of each student.

Step S704, obtaining an attendance record corresponding to each student according to the training mode.

Step S706, automatically calculating the effective time of each student in the course according to the attendance record.

Step S708, judging whether the student is up to standard in the course according to the time requirement of the course and the valid time.

Specifically, when the student exceeds (greater than or equal to) the time requirement of the course at the effective time of the course, it indicates that the student has met the standard, and the course is approved or eligible to participate in the course training test.

The training time calculation method proposed in this embodiment can obtain the attendance record of the upper and lower classes according to the fingerprint or face recognition of the attendance machine, thereby automatically calculating the time of the class. When remote connection and online training, you can also use the start time and end time of the connection, or watch the start time and end time of the training video as the attendance record. Moreover, based on the calculated hours and preset time requirements, it is also possible to automatically determine whether the student is up to standard in the course. It can save the trouble of paper check-in and manual calculation training, simplify the statistical work of time and improve the calculation accuracy.

As shown in FIG. 7, it is a schematic flowchart of a third embodiment of the training time calculation method of the present application. In this embodiment, the steps S800-S808 of the training time calculation method are similar to the steps S700-S708 of the second embodiment, except that the method further includes steps S810-S812.

The method includes the following steps:

Step S800, obtaining course information.

Step S802, obtaining a list of the students of the course and basic information and training mode of each student.

Step S804, obtaining the attendance record corresponding to each student according to the training mode.

Step S806, automatically calculating the effective time of each student in the course according to the attendance record.

Specifically, the class time of each class is calculated according to the time of the class in the attendance record, and then the effective time of the class for the course is counted. If there is only the attendance record during class or class, the class time of the class will be invalid.

Step S808, judging whether the student is up to standard in the course according to the time requirement of the course and the valid time of the course.

Step S810, obtaining an existing time record of the student.

Step S812, judging whether the student is up to the standard in the year according to the student's annual academic requirements, the existing hours, and the valid hours.

The training time calculation method proposed in this embodiment can obtain the attendance record of the upper and lower classes according to the fingerprint or face recognition of the attendance machine, thereby automatically calculating the time of the class. When remote connection and online training, you can also use the start time and end time of the connection, or watch the start time and end time of the training video as the attendance record. Moreover, based on the calculated hours and preset time requirements, it is also possible to automatically determine whether the student is up to standard in the course and whether the student is up to the standard in the year. It can save the trouble of paper check-in and manual calculation training, simplify the statistical work of time and improve the calculation accuracy.

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 time calculation method is applied to an application server, characterized in that the method comprises the steps of:

Obtain course information;

Obtain a list of participants of the course and basic information and training mode of each student, including on-site training, remote connection and online training;

Obtaining corresponding attendance records of each student according to the corresponding preset attendance mode according to the training mode; and

The effective hours of each student in the course are automatically calculated based on the attendance record.
The training time calculation method according to claim 1, wherein the method further comprises the steps of:

Judging whether the student is up to standard in the course according to the academic requirements of the course and the valid hours.
The training time calculation method according to claim 2, wherein the method further comprises the steps of:

Obtaining the existing time records of the student;

According to the student's annual academic requirements, the existing hours and the valid hours, the student is judged to have met the standard in the year.
The training time calculation method according to claim 1, wherein the method further comprises the steps of:

Obtaining the existing time records of the student;

According to the student's annual academic requirements, the existing hours and the valid hours, the student is judged to have met the standard in the year.
The training time calculation method according to any one of claims 1 to 4, wherein the preset attendance mode comprises:

When the training mode is on-site training and remote connection, the attendance record of the student attending the class is obtained from the attendance machine corresponding to the class of the class and the remote connection site;

When the training mode is remotely connected and the remote connection site does not have a corresponding attendance machine, the connection start time and the end time are obtained, and the attendance record of the student attending the class as the remote connection location; and

When the training mode is online training, the start time and the end time of the online training video in which the student logs in to the online training system to view the course are obtained, as the attendance record of the student attending the class.
The training time calculation method according to claim 5, wherein the step of automatically calculating the effective time of each student in the course according to the attendance record comprises:

Calculating the class time of each class according to the time of the class in the attendance record;

The effective time of the student for the course is counted, and if there is only the attendance record during class or class, the class time of the class is invalid.
The training time calculation method according to any one of claims 1 to 4, wherein the step of automatically calculating the effective time of each student in the course according to the attendance record comprises:

Calculating the class time of each class according to the time of the class in the attendance record;

The effective time of the student for the course is counted, and if there is only the attendance record during class or class, the class time of the class is invalid.
An application server, comprising: a memory, a processor, on the memory, a training time calculation system operable on the processor, wherein the training time calculation system is used by the processor The following steps are implemented during execution:

Obtain course information;

Obtain a list of participants of the course and basic information and training mode of each student, including on-site training, remote connection and online training;

Obtaining corresponding attendance records of each student according to the corresponding preset attendance mode according to the training mode; and

The effective hours of each student in the course are automatically calculated based on the attendance record.
The application server of claim 8 wherein said training time calculation system is further implemented by said processor:

Judging whether the student is up to standard in the course according to the academic requirements of the course and the valid hours.
The application server of claim 8 wherein said training time calculation system is further implemented by said processor:

Obtaining the existing time records of the student;

According to the student's annual academic requirements, the existing hours and the valid hours, the student is judged to have met the standard in the year.
The application server of claim 9 wherein said training time calculation system is further implemented when said processor is executed:

Obtaining the existing time records of the student;

According to the student's annual academic requirements, the existing hours and the valid hours, the student is judged to have met the standard in the year.
The application server according to any one of claims 8 to 11, wherein the preset attendance mode comprises:

When the training mode is on-site training and remote connection, the attendance record of the student attending the class is obtained from the attendance machine corresponding to the class of the class and the remote connection site;

When the training mode is remotely connected and the remote connection site does not have a corresponding attendance machine, the connection start time and the end time are obtained, and the attendance record of the student attending the class as the remote connection location; and

When the training mode is online training, the start time and the end time of the online training video in which the student logs in to the online training system to view the course are obtained, as the attendance record of the student attending the class.
The application server according to claim 12, wherein the step of automatically calculating the effective time of each student in the course according to the attendance record comprises:

Calculating the class time of each class according to the time of the class in the attendance record;

The effective time of the student for the course is counted, and if there is only the attendance record during class or class, the class time of the class is invalid.
The application server according to any one of claims 8 to 11, wherein the step of automatically calculating the effective time of each student in the course according to the attendance record comprises:

Calculating the class time of each class according to the time of the class in the attendance record;

The effective time of the student for the course is counted, and if there is only the attendance record during class or class, the class time of the class is invalid.
A computer readable storage medium storing a training time calculation system, the training time calculation system being executable by at least one processor to cause the at least one processor to perform the following steps:

Obtain course information;

Obtain a list of participants of the course and basic information and training mode of each student, including on-site training, remote connection and online training;

Obtaining corresponding attendance records of each student according to the corresponding preset attendance mode according to the training mode; and

The effective hours of each student in the course are automatically calculated based on the attendance record.
The computer readable storage medium of claim 15 wherein said training time calculation system is further implemented when said processor is executed:

Judging whether the student is up to standard in the course according to the academic requirements of the course and the valid hours.
The computer readable storage medium of claim 15 wherein said training time calculation system is further implemented when said processor is executed:

Obtaining the existing time records of the student;

According to the student's annual academic requirements, the existing hours and the valid hours, the student is judged to have met the standard in the year.
The computer readable storage medium of claim 16 wherein said training time calculation system is further implemented when said processor is executed:

Obtaining the existing time records of the student;

According to the student's annual academic requirements, the existing hours and the valid hours, the student is judged to have met the standard in the year.
The computer readable storage medium according to any one of claims 15 to 18, wherein the preset attendance mode comprises:

When the training mode is on-site training and remote connection, the attendance record of the student attending the class is obtained from the attendance machine corresponding to the class of the class and the remote connection site;

When the training mode is remotely connected and the remote connection site does not have a corresponding attendance machine, the connection start time and the end time are obtained, and the attendance record of the student attending the class as the remote connection location; and

When the training mode is online training, the start time and the end time of the online training video in which the student logs in to the online training system to view the course are obtained, as the attendance record of the student attending the class.
The computer readable storage medium according to any one of claims 15 to 18, wherein the step of automatically calculating the effective time of each student in the course according to the attendance record comprises:

Calculating the class time of each class according to the time of the class in the attendance record;

The effective time of the student for the course is counted, and if there is only the attendance record during class or class, the class time of the class is invalid.