WO2019095672A1 - 外勤员工考勤管控方法、应用服务器及计算机可读存储介质 - Google Patents

外勤员工考勤管控方法、应用服务器及计算机可读存储介质 Download PDF

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Publication number
WO2019095672A1
WO2019095672A1 PCT/CN2018/089875 CN2018089875W WO2019095672A1 WO 2019095672 A1 WO2019095672 A1 WO 2019095672A1 CN 2018089875 W CN2018089875 W CN 2018089875W WO 2019095672 A1 WO2019095672 A1 WO 2019095672A1
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Prior art keywords
attendance
field employee
field
employee
mobile terminal
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English (en)
French (fr)
Inventor
秦宁远
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Ping An Technology Shenzhen Co Ltd
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Ping An Technology Shenzhen Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/105—Human resources

Definitions

  • the present application relates to the field of data analysis technologies, and in particular, to a field employee attendance management method, an application server, and a computer readable storage medium.
  • the present application proposes a field employee attendance management method, an application server, and a computer readable storage medium to solve the problem of how to effectively perform attendance management and control of the external staff.
  • the present application provides a field employee attendance management and control method, and the method includes the following steps:
  • the identity confirmation information it is determined whether the field employee is the person, and if the field employee is himself, the attendance is normal, otherwise the attendance is abnormal.
  • the present application further provides an application server, including a memory and a processor, where the memory stores a field employee attendance management system that can be run on the processor, and the field employee attendance management system The following steps are implemented when executed by the processor:
  • the identity confirmation information it is determined whether the field employee is the person, and if the field employee is himself, the attendance is normal, otherwise the attendance is abnormal.
  • the present application further provides a computer readable storage medium, where the computer readable storage medium stores a field employee attendance management system, and the field employee attendance management system can be executed by at least one processor. The step of causing the at least one processor to perform the field employee attendance management method as described above.
  • the field employee attendance management and control method, the application server, and the computer readable storage medium proposed by the present application locate the mobile terminal corresponding to the field employee every preset time period when the employee goes out to work. Determine if it is within the scope of the workplace. At the same time, an identity confirmation command is sent to the mobile terminal, and the employee is further identified according to the identity confirmation information fed back by the mobile terminal to prevent the situation in which the human-machine separation is performed.
  • the mobile terminal is within the working place and it is confirmed that the field employee is in the vicinity of the mobile terminal, the attendance is normal, and the employee can be more strictly and effectively checked and operated.
  • FIG. 1 is a schematic diagram of an optional application environment of each embodiment of the present application.
  • FIG. 2 is a schematic diagram of an optional hardware architecture of the application server of FIG. 1;
  • FIG. 3 is a schematic diagram of a program module of a first embodiment of a field employee attendance management and control system of the present application
  • FIG. 4 is a schematic diagram of a program module of a second embodiment of the field employee attendance management and control system of the present application.
  • FIG. 5 is a schematic diagram of a program module of a third embodiment of the field employee attendance management and control system of the present application.
  • FIG. 6 is a schematic flow chart of a first embodiment of a method for managing attendance and attendance of a field employee according to the present application
  • FIG. 7 is a schematic flow chart of a second embodiment of a method for controlling attendance and attendance of a field employee according to the present application.
  • FIG. 8 is a schematic flow chart of a third embodiment of a method for attendance management and control of a field employee in the present application.
  • Mobile terminal 1 application server 2 The internet 3 Memory 11 processor 12 Network Interface 13 Field employee attendance management system 200 Sending module 201
  • FIG. 1 it is a schematic diagram of an optional application environment of each embodiment of the present application.
  • the present application is applicable to an application environment including, but not limited to, a mobile terminal 1, an application server 2, and a network 3.
  • 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.
  • 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.
  • GSM Global System of Mobile communication
  • WCDMA Wideband Code Division Multiple Access
  • 4G network Wireless
  • the application server 2 is respectively connected to one or more of the mobile terminals 1 through the network 3 for data transmission and interaction.
  • 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.
  • 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.
  • 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.
  • the memory 11 can also include both the internal storage unit of the application server 2 and its external storage device.
  • the memory 11 is generally used to store an operating system installed in the application server 2 and various application software, such as program codes of the field employee attendance management 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 mobile terminal 1.
  • the processor 12 is configured to run program code or process data stored in the memory 11, such as running the field employee attendance management 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.
  • the network interface 13 is mainly used to connect the application server 2 to one or more mobile terminals 1 through the network 3, and the application server 2 and the one or more mobiles. A data transmission channel and a communication connection are established between the terminals 1.
  • the present application proposes a field employee attendance management system 200.
  • the field employee attendance management 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 field staff attendance of the embodiments of the present application can be implemented. Control operations.
  • the field employee attendance management 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 field employee attendance management system 200 can be divided into a sending module 201, a receiving module 202, and a determining module 203. among them:
  • the sending module 201 is configured to send a positioning instruction to the mobile terminal 1 corresponding to the field employee during a preset time period during the working time.
  • the work time corresponding to the field employee is obtained, and then the attendance monitoring is performed on the field employee during the working time and every preset time period according to the preset monitoring frequency. For example, suppose the work time corresponding to the field employee is 8:00 to 17:00, and the preset time period is 1 hour, starting at 8:00 in the morning, and sending to the mobile terminal 1 corresponding to the field employee every hour. Positioning instructions.
  • the receiving module 202 is configured to receive positioning information that is fed back by the mobile terminal 1.
  • the positioning function is used to locate the current location and feedback the current positioning information.
  • the receiving module 202 receives the positioning information fed back by the mobile terminal 1.
  • the determining module 203 is configured to determine whether the field employee is within a working location of the corresponding attendance worksheet.
  • the positioning information and the work place in the attendance worksheet it can be determined whether the field employee is within the working place. For example, if the work location is a city B subsidiary, if the location information indicates that the location of the mobile terminal 1 is within the A city B subsidiary, it is determined that the field employee is currently within the work location; The location information indicates that the location of the mobile terminal 1 is outside the range of the A city B subsidiary, and it is determined that the field employee is not currently in the working location, indicating that the attendance is abnormal.
  • the roadmap of the field employee during the work period may also be drawn according to the positioning information continuously fed back by the mobile terminal 1. Then, the completed work task reported by the field employee is obtained, and it is determined whether the road map matches the location of the completed work task. For example, when the field employee completes the auto insurance report task, the location of the task should match the location information of the corresponding time point in the road map of the field employee. If the road map does not match the location of the completed work task, it indicates that the attendance is abnormal.
  • the sending module 201 is further configured to send an identity confirmation instruction to the mobile terminal 1 when it is within the range of the attendance location.
  • the identity confirmation command is sent to the mobile terminal 1 corresponding to the field employee.
  • the identity confirmation command is used to confirm that the field employee himself is currently in the vicinity of the mobile terminal 1 to prevent the situation in which the human machine is separated.
  • the identity confirmation command may be a fingerprint recognition command, a face recognition command, or the like.
  • the receiving module 202 is further configured to receive identity confirmation information fed back by the mobile terminal 1.
  • the mobile terminal 1 when the mobile terminal 1 receives the identity confirmation instruction, the mobile terminal is notified to input identity confirmation information, such as inputting a fingerprint or scanning a facial image, and then feeding back the identity confirmation information.
  • the receiving module 202 receives the identity confirmation information fed back by the mobile terminal 1.
  • the determining module 203 is further configured to determine, according to the identity confirmation information, whether the field employee is the person.
  • the identity confirmation information is compared with the set identity information to determine whether the field employee is the person himself or herself.
  • the identity confirmation information is a fingerprint
  • the received fingerprint is compared with the fingerprint in the set identity information, and if the matching is successful, the field employee is determined to indicate that the field employee is in the corresponding mobile terminal 1 In the vicinity, the attendance is normal; if the match fails, it is judged that the field employee is not the person, indicating that the field employee is not currently in the vicinity of the corresponding mobile terminal 1, and the attendance is abnormal.
  • the identity confirmation information is a facial image
  • the received facial image is compared with the facial image in the set identity information, and if the matching is successful, the field employee is determined to represent the field.
  • the employee is in the vicinity of the corresponding mobile terminal 1 and the attendance is normal; if the matching fails, the employee is determined not to be the external employee, indicating that the field employee is not currently in the vicinity of the corresponding mobile terminal 1, and the attendance is abnormal.
  • the field employee attendance management system 200 includes a setting module 204 in addition to the sending module 201, the receiving module 202, and the determining module 203 in the first embodiment.
  • the setting module 204 is configured to set a corresponding attendance work form of the field employee.
  • the attendance worksheet is specifically set for the employee's field time, mainly including job type, working time, work place, and the like.
  • the setting module 204 is further configured to set corresponding identity information of the field employee.
  • the identity information includes a name, a post, a job number, a fingerprint or a face image, and the like.
  • the identity information is used to subsequently confirm the identity of the field employee to determine that the field employee himself carries the corresponding mobile terminal 1 for attendance input.
  • the setting module 204 is further configured to set a monitoring frequency, that is, a preset time period.
  • an appropriate monitoring frequency may be set in advance, that is, how often (pre-time period) is monitored.
  • FIG. 5 it is a program module diagram of a third embodiment of the field employee attendance management system 200 of the present application.
  • the field employee attendance management system 200 further includes a generating module 205 on the basis of the second embodiment.
  • the generating module 205 is configured to generate an attendance report of the field employee according to the determination result.
  • the attendance report of the field employee is generated according to the judgment result.
  • the employee's name, position, job number, working time, working place, monitoring time, positioning information, identity confirmation information and other data are recorded together in the attendance report, and the judgment result of normal attendance or abnormal attendance is recorded.
  • the attendance report is sent to the personnel, so that the personnel can manage the attendance status of the field employee on the day.
  • the attendance report is sent to the mobile terminal 1 corresponding to the field employee, and the sending manner may be an email or the like to notify the external staff to report the reason for the attendance abnormality.
  • the present application also proposes a method for attendance management and control of field employees.
  • FIG. 6 it is a schematic flowchart of the first embodiment of the field employee attendance management and control method of the present application.
  • 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.
  • step S600 during the working time, the positioning instruction is sent to the mobile terminal 1 corresponding to the field employee every preset time period.
  • the work time corresponding to the field employee is obtained, and then the attendance monitoring is performed on the field employee during the working time and every preset time period according to the preset monitoring frequency. For example, suppose the work time corresponding to the field employee is 8:00 to 17:00, and the preset time period is 1 hour, starting at 8:00 in the morning, and sending to the mobile terminal 1 corresponding to the field employee every hour. Positioning instructions. In this step, the current location of the mobile terminal 1 corresponding to the field employee is mainly monitored.
  • Step S602 Receive positioning information fed back by the mobile terminal 1 to determine whether the field employee is within a working location of the corresponding attendance worksheet.
  • the positioning function is used to locate the current location and feedback the current positioning information. Therefore, based on the positioning information and the work place in the attendance worksheet, it can be determined whether the field employee is within the working place. For example, if the work location is a city B subsidiary, if the location information indicates that the location of the mobile terminal 1 is within the A city B subsidiary, it is determined that the field employee is currently within the work location; The location information indicates that the location of the mobile terminal 1 is outside the range of the A city B subsidiary, and it is determined that the field employee is not currently in the working location, indicating that the attendance is abnormal.
  • the roadmap of the field employee during the work period may also be drawn according to the positioning information continuously fed back by the mobile terminal 1. Then, the completed work task reported by the field employee is obtained, and it is determined whether the road map matches the location of the completed work task. For example, when the field employee completes the auto insurance report task, the location of the task should match the location information of the corresponding time point in the road map of the field employee. If the road map does not match the location of the completed work task, it indicates that the attendance is abnormal.
  • Step S604 when it is within the range of the attendance location, an identity confirmation command is sent to the mobile terminal 1.
  • the identity confirmation command is sent to the mobile terminal 1 corresponding to the field employee.
  • the identity confirmation command is used to confirm that the field employee himself is currently in the vicinity of the mobile terminal 1 to prevent the situation in which the human machine is separated.
  • the identity confirmation command may be a fingerprint recognition command, a face recognition command, or the like.
  • Step S606 receiving identity confirmation information fed back by the mobile terminal 1.
  • the mobile terminal 1 when the mobile terminal 1 receives the identity confirmation instruction, the mobile terminal is notified to input identity confirmation information, such as inputting a fingerprint or scanning a facial image, and then feeding back the identity confirmation information.
  • identity confirmation information such as inputting a fingerprint or scanning a facial image
  • Step S608 determining whether the field employee is the person based on the identity confirmation information.
  • the identity confirmation information is compared with the set identity information to determine whether the field employee is the person. For example, when the identity confirmation information is a fingerprint, the received fingerprint is compared with the fingerprint in the set identity information, and if the matching is successful, the field employee is determined to indicate that the field employee is in the corresponding mobile terminal 1 In the vicinity, the attendance is normal; if the match fails, it is judged that the field employee is not the person, indicating that the field employee is not currently in the vicinity of the corresponding mobile terminal 1, and the attendance is abnormal. Similarly, when the identity confirmation information is a facial image, the received facial image is compared with the facial image in the set identity information, and if the matching is successful, the field employee is determined to represent the field. The employee is in the vicinity of the corresponding mobile terminal 1 and the attendance is normal; if the matching fails, the employee is determined not to be the external employee, indicating that the field employee is not currently in the vicinity of the corresponding mobile terminal 1, and the attendance is abnormal.
  • the identity confirmation information is a fingerprint
  • the field employee attendance management and control method proposed in this embodiment can locate the mobile terminal 1 corresponding to the field employee every predetermined time period when the employee is out of the field, and determine whether it is within the working place. At the same time, an identity confirmation command is sent to the mobile terminal 1, and the employee is further authenticated according to the identity confirmation information fed back by the mobile terminal 1 to prevent the situation in which the human-machine separation is performed. When the mobile terminal 1 is within the working place and it is confirmed that the field employee himself is in the vicinity of the mobile terminal 1, it indicates that the attendance is normal, and the attendance and management can be performed more strictly and effectively.
  • FIG. 7 it is a schematic flowchart of a second embodiment of the attendance management and control method of the field staff of the present application.
  • the steps S706-S714 of the field employee attendance management method are similar to the steps S600-S608 of the first embodiment, except that the method further includes steps S700-S704.
  • the method includes the following steps:
  • Step S700 setting a corresponding attendance work form of the field employee.
  • the attendance worksheet is specifically set for the employee's field time, mainly including job type, working time, work place, and the like.
  • Step S702 setting corresponding identity information of the field employee.
  • the identity information includes a name, a post, a job number, a fingerprint or a face image, and the like.
  • the identity information is used to subsequently confirm the identity of the field employee to determine that the field employee himself carries the corresponding mobile terminal 1 for attendance input.
  • Step S704 setting a monitoring frequency, that is, a preset time period.
  • an appropriate monitoring frequency may be set in advance, that is, how often (pre-time period) is monitored.
  • Step S706 in the working time, send a positioning instruction to the mobile terminal 1 corresponding to the field employee every preset time period.
  • the working time corresponding to the field employee is obtained according to the attendance work form, and then the attendance monitoring is performed on the field employee during the working time and every preset time period according to the set monitoring frequency. For example, suppose the work time corresponding to the field employee is 8:00 to 17:00, and the preset time period is 1 hour, starting at 8:00 in the morning, and sending to the mobile terminal 1 corresponding to the field employee every hour. Positioning instructions. In this step, the current location of the mobile terminal 1 corresponding to the field employee is mainly monitored.
  • Step S708 receiving positioning information fed back by the mobile terminal 1, and determining whether the field employee is within the working place range of the attendance worksheet.
  • the positioning function is used to locate the current location and feedback the current positioning information. Therefore, based on the positioning information and the work place in the attendance worksheet, it can be determined whether the field employee is within the working place. For example, if the work location is a city B subsidiary, if the location information indicates that the location of the mobile terminal 1 is within the A city B subsidiary, it is determined that the field employee is currently within the work location; The location information indicates that the location of the mobile terminal 1 is outside the range of the A city B subsidiary, and it is determined that the field employee is not currently in the working location, indicating that the attendance is abnormal.
  • the roadmap of the field employee during the work period may also be drawn according to the positioning information continuously fed back by the mobile terminal 1. Then, the completed work task reported by the field employee is obtained, and it is determined whether the road map matches the location of the completed work task. For example, when the field employee completes the auto insurance report task, the location of the task should match the location information of the corresponding time point in the road map of the field employee. If the road map does not match the location of the completed work task, it indicates that the attendance is abnormal.
  • Step S710 Send an identity confirmation command to the mobile terminal 1 when it is within the range of the attendance location.
  • the identity confirmation command is sent to the mobile terminal 1 corresponding to the field employee.
  • the identity confirmation command is used to confirm that the field employee himself is currently in the vicinity of the mobile terminal 1 to prevent the situation in which the human machine is separated.
  • the identity confirmation command may be a fingerprint recognition command, a face recognition command, or the like.
  • Step S712 receiving identity confirmation information fed back by the mobile terminal 1.
  • the mobile terminal 1 when the mobile terminal 1 receives the identity confirmation instruction, the mobile terminal is notified to input identity confirmation information, such as inputting a fingerprint or scanning a facial image, and then feeding back the identity confirmation information.
  • identity confirmation information such as inputting a fingerprint or scanning a facial image
  • Step S714 determining whether the field employee is the person based on the identity confirmation information.
  • the identity confirmation information is compared with the set identity information to determine whether the field employee is the person. For example, when the identity confirmation information is a fingerprint, the received fingerprint is compared with the fingerprint in the set identity information, and if the matching is successful, the field employee is determined to indicate that the field employee is in the corresponding mobile terminal 1 In the vicinity, the attendance is normal; if the match fails, it is judged that the field employee is not the person, indicating that the field employee is not currently in the vicinity of the corresponding mobile terminal 1, and the attendance is abnormal. Similarly, when the identity confirmation information is a facial image, the received facial image is compared with the facial image in the set identity information, and if the matching is successful, the field employee is determined to represent the field. The employee is in the vicinity of the corresponding mobile terminal 1 and the attendance is normal; if the matching fails, the employee is determined not to be the external employee, indicating that the field employee is not currently in the vicinity of the corresponding mobile terminal 1, and the attendance is abnormal.
  • the identity confirmation information is a fingerprint
  • FIG. 8 it is a schematic flowchart of a third embodiment of the field employee attendance management and control method of the present application.
  • the steps S800-S814 of the field employee attendance management method are similar to the steps S700-S714 of the second embodiment, except that the method further includes step S816.
  • the method includes the following steps:
  • Step S800 setting a corresponding attendance work form of the field employee.
  • the attendance worksheet is specifically set for the employee's field time, mainly including job type, working time, work place, and the like.
  • Step S802 setting corresponding identity information of the field employee.
  • the identity information includes a name, a post, a job number, a fingerprint or a face image, and the like.
  • the identity information is used to subsequently confirm the identity of the field employee to determine that the field employee himself carries the corresponding mobile terminal 1 for attendance input.
  • Step S804 setting a monitoring frequency, that is, a preset time period.
  • an appropriate monitoring frequency may be set in advance, that is, how often (pre-time period) is monitored.
  • Step S806 in the working time, send a positioning instruction to the mobile terminal 1 corresponding to the field employee every preset time period.
  • the working time corresponding to the field employee is obtained according to the attendance work form, and then the attendance monitoring is performed on the field employee during the working time and every preset time period according to the set monitoring frequency. For example, suppose the work time corresponding to the field employee is 8:00 to 17:00, and the preset time period is 1 hour, starting at 8:00 in the morning, and sending to the mobile terminal 1 corresponding to the field employee every hour. Positioning instructions. In this step, the current location of the mobile terminal 1 corresponding to the field employee is mainly monitored.
  • Step S808 receiving the positioning information fed back by the mobile terminal 1, and determining whether the field employee is within the working place range of the attendance worksheet.
  • the positioning function is used to locate the current location and feedback the current positioning information. Therefore, based on the positioning information and the work place in the attendance worksheet, it can be determined whether the field employee is within the working place. For example, if the work location is a city B subsidiary, if the location information indicates that the location of the mobile terminal 1 is within the A city B subsidiary, it is determined that the field employee is currently within the work location; The location information indicates that the location of the mobile terminal 1 is outside the range of the A city B subsidiary, and it is determined that the field employee is not currently in the working location, indicating that the attendance is abnormal.
  • the roadmap of the field employee during the work period may also be drawn according to the positioning information continuously fed back by the mobile terminal 1. Then, the completed work task reported by the field employee is obtained, and it is determined whether the road map matches the location of the completed work task. For example, when the field employee completes the auto insurance report task, the location of the task should match the location information of the corresponding time point in the road map of the field employee. If the road map does not match the location of the completed work task, it indicates that the attendance is abnormal.
  • Step S810 when the time and attendance location is within the range, the identity confirmation command is sent to the mobile terminal 1.
  • the identity confirmation command is sent to the mobile terminal 1 corresponding to the field employee.
  • the identity confirmation command is used to confirm that the field employee himself is currently in the vicinity of the mobile terminal 1 to prevent the situation in which the human machine is separated.
  • the identity confirmation command may be a fingerprint recognition command, a face recognition command, or the like.
  • Step S812 receiving identity confirmation information fed back by the mobile terminal 1.
  • the mobile terminal 1 when the mobile terminal 1 receives the identity confirmation instruction, the mobile terminal is notified to input identity confirmation information, such as inputting a fingerprint or scanning a facial image, and then feeding back the identity confirmation information.
  • identity confirmation information such as inputting a fingerprint or scanning a facial image
  • Step S814 determining whether the field employee is the person based on the identity confirmation information.
  • the identity confirmation information is compared with the set identity information to determine whether the field employee is the person. For example, when the identity confirmation information is a fingerprint, the received fingerprint is compared with the fingerprint in the set identity information, and if the matching is successful, the field employee is determined to indicate that the field employee is in the corresponding mobile terminal 1 In the vicinity, the attendance is normal; if the match fails, it is judged that the field employee is not the person, indicating that the field employee is not currently in the vicinity of the corresponding mobile terminal 1, and the attendance is abnormal. Similarly, when the identity confirmation information is a facial image, the received facial image is compared with the facial image in the set identity information, and if the matching is successful, the field employee is determined to represent the field. The employee is in the vicinity of the corresponding mobile terminal 1 and the attendance is normal; if the matching fails, the employee is determined not to be the external employee, indicating that the field employee is not currently in the vicinity of the corresponding mobile terminal 1, and the attendance is abnormal.
  • the identity confirmation information is a fingerprint
  • the attendance report of the field employee is generated according to the judgment result.
  • the employee's name, position, job number, working time, working place, monitoring time, positioning information, identity confirmation information and other data are recorded together in the attendance report, and the judgment result of normal attendance or abnormal attendance is recorded.
  • the attendance report is sent to the personnel, so that the personnel can manage the attendance status of the field employee on the day.
  • the attendance report is sent to the mobile terminal 1 corresponding to the field employee, and the sending manner may be an email or the like to notify the external staff to report the reason for the attendance abnormality.
  • 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.

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Abstract

本申请公开了一种外勤员工考勤管控方法，该方法包括：每隔预设时间段，向所述外勤员工对应的移动终端发送定位指令；接收所述移动终端反馈的定位信息；判断所述外勤员工是否在对应考勤工作表中的工作地点范围内；向所述外勤员工对应的移动终端发送身份确认指令；接收所述移动终端反馈的身份确认信息；根据所述身份确认信息判断是否为所述外勤员工本人，若是所述外勤员工本人，则考勤正常，否则为考勤异常。本申请还提供一种应用服务器及计算机可读存储介质。本申请提供的外勤员工考勤管控方法、应用服务器及计算机可读存储介质能够对外勤员工进行更加严格有效的考勤管控。

Description

外勤员工考勤管控方法、应用服务器及计算机可读存储介质
本申请要求于2017年11月15日提交中国专利局，申请号为201711131332.3、发明名称为“外勤员工考勤管控方法、应用服务器及计算机可读存储介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及数据分析技术领域，尤其涉及一种外勤员工考勤管控方法、应用服务器及计算机可读存储介质。
背景技术
现在的考勤方式多种多样，可以是刷卡、指纹识别、脸部识别、网页登录等。但是，对于出外勤的员工，由于考勤地点不固定，且监督不便，目前还缺乏有效的机制进行考勤管理。
发明内容
有鉴于此，本申请提出一种外勤员工考勤管控方法、应用服务器及计算机可读存储介质，以解决如何有效的对外勤员工进行考勤管控的问题。
首先，为实现上述目的，本申请提出一种外勤员工考勤管控方法，该方法包括步骤：
在工作时间内，每隔预设时间段，向所述外勤员工对应的移动终端发送定位指令；
接收所述移动终端反馈的定位信息；
判断所述外勤员工是否在对应考勤工作表中的工作地点范围内；
当判断出所述外勤员工当前在工作地点范围内时，向所述外勤员工对应的移动终端发送身份确认指令；
接收所述移动终端反馈的身份确认信息；及
根据所述身份确认信息判断是否为所述外勤员工本人，若是所述外勤员工本人，则考勤正常，否则为考勤异常。
此外，为实现上述目的，本申请还提供一种应用服务器，包括存储器、处理器，所述存储器上存储有可在所述处理器上运行的外勤员工考勤管控系统，所述外勤员工考勤管控系统被所述处理器执行时实现如下步骤：
在工作时间内，每隔预设时间段，向所述外勤员工对应的移动终端发送定位指令；
接收所述移动终端反馈的定位信息；
判断所述外勤员工是否在对应考勤工作表中的工作地点范围内；
当判断出所述外勤员工当前在工作地点范围内时，向所述外勤员工对应的移动终端发送身份确认指令；
接收所述移动终端反馈的身份确认信息；及
根据所述身份确认信息判断是否为所述外勤员工本人，若是所述外勤员工本人，则考勤正常，否则为考勤异常。
进一步地，为实现上述目的，本申请还提供一种计算机可读存储介质，所述计算机可读存储介质存储有外勤员工考勤管控系统，所述外勤员工考勤管控系统可被至少一个处理器执行，以使所述至少一个处理器执行如上述的外勤员工考勤管控方法的步骤。
相较于现有技术，本申请所提出的外勤员工考勤管控方法、应用服务器及计算机可读存储介质，当员工出外勤时，每隔预设时间段对该外勤员工对应的移动终端进行定位，判断是否在工作地点范围内。同时，向该移动终端发送身份确认指令，根据该移动终端反馈的身份确认信息对该员工进一步进行身份确认，以防止人机分离的状况。当该移动终端在工作地点范围内，且确认为该外勤员工本人在该移动终端附近时，才表示考勤正常，可以对外勤员工进行更加严格有效的考勤管控。
附图说明
图1是本申请各个实施例一可选的应用环境示意图；
图2是图1中应用服务器一可选的硬件架构的示意图；
图3是本申请外勤员工考勤管控系统第一实施例的程序模块示意图；
图4是本申请外勤员工考勤管控系统第二实施例的程序模块示意图；
图5是本申请外勤员工考勤管控系统第三实施例的程序模块示意图；
图6为本申请外勤员工考勤管控方法第一实施例的流程示意图；
图7为本申请外勤员工考勤管控方法第二实施例的流程示意图；
图8为本申请外勤员工考勤管控方法第三实施例的流程示意图。
附图标记：
移动终端 1
应用服务器 2
网络 3
存储器 11
处理器 12
网络接口 13
外勤员工考勤管控系统 200
发送模块 201
接收模块 202
判断模块 203
设置模块 204
生成模块 205
本申请目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
具体实施方式
为了使本申请的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本申请进行进一步详细说明。应当理解，此处所描述的具体实施例仅用以解释本申请，并不用于限定本申请。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
需要说明的是，在本申请中涉及“第一”、“第二”等的描述仅用于描述目的，而不能理解为指示或暗示其相对重要性或者隐含指明所指示的技术特征的数量。由此，限定有“第一”、“第二”的特征可以明示或者隐含地包括至少一个该特征。另外，各个实施例之间的技术方案可以相互结合，但是必须是以本领域普通技术人员能够实现为基础，当技术方案的结合出现相互矛盾或无法实现时应当认为这种技术方案的结合不存在，也不在本申请要求的保护范围之内。
参阅图1所示，是本申请各个实施例一可选的应用环境示意图。
在本实施例中，本申请可应用于包括，但不仅限于，移动终端1、应用服务器2、网络3的应用环境中。其中，所述移动终端1可以是移动电话、智能电话、笔记本电脑、数字广播接收器、PDA(个人数字助理)、PAD(平板电脑)、PMP(便携式多媒体播放器)、导航装置、车载装置等等的可移动设备。所述应用服务器2可以是机架式服务器、刀片式服务器、塔式服务器或机柜式服务器等计算设备，该应用服务器2可以是独立的服务器，也可以是多个服务器所组成的服务器集群。所述网络3可以是企业内部网(Intranet)、互联网(Internet)、全球移动通讯系统(Global System of Mobile communication，GSM)、宽带码分多址(Wideband Code Division Multiple Access，WCDMA)、4G网络、5G网络、蓝牙(Bluetooth)、Wi-Fi、通话网络等无线或有线网络。
其中，所述应用服务器2中通过所述网络3分别与一个或多个所述移动终端1通信连接，以进行数据传输和交互。
参阅图2所示，是图1中应用服务器2一可选的硬件架构的示意图。本实施 例中，所述应用服务器2可包括，但不仅限于，可通过系统总线相互通信连接存储器11、处理器12、网络接口13。需要指出的是，图2仅示出了具有组件11-13的应用服务器2，但是应理解的是，并不要求实施所有示出的组件，可以替代的实施更多或者更少的组件。
其中，所述存储器11至少包括一种类型的可读存储介质，所述可读存储介质包括闪存、硬盘、多媒体卡、卡型存储器(例如，SD或DX存储器等)、随机访问存储器(RAM)、静态随机访问存储器(SRAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、可编程只读存储器(PROM)、磁性存储器、磁盘、光盘等。在一些实施例中，所述存储器11可以是所述应用服务器2的内部存储单元，例如该应用服务器2的硬盘或内存。在另一些实施例中，所述存储器11也可以是所述应用服务器2的外部存储设备，例如该应用服务器2上配备的插接式硬盘，智能存储卡(Smart Media Card,SMC)，安全数字(Secure Digital,SD)卡，闪存卡(Flash Card)等。当然，所述存储器11还可以既包括所述应用服务器2的内部存储单元也包括其外部存储设备。本实施例中，所述存储器11通常用于存储安装于所述应用服务器2的操作系统和各类应用软件，例如外勤员工考勤管控系统200的程序代码等。此外，所述存储器11还可以用于暂时地存储已经输出或者将要输出的各类数据。
所述处理器12在一些实施例中可以是中央处理器(Central Processing Unit，CPU)、控制器、微控制器、微处理器、或其他数据处理芯片。该处理器12通常用于控制所述应用服务器2的总体操作，例如执行与所述移动终端1进行数据交互或者通信相关的控制和处理等。本实施例中，所述处理器12用于运行所述存储器11中存储的程序代码或者处理数据，例如运行所述的外勤员工考勤管控系统200等。
所述网络接口13可包括无线网络接口或有线网络接口，该网络接口13通常用于在所述应用服务器2与其他电子设备之间建立通信连接。本实施例中，所述网络接口13主要用于通过所述网络3将所述应用服务器2与一个或多个所述移动终端1相连，在所述应用服务器2与所述一个或多个移动终端1之间的建立数据传输通道和通信连接。
至此，己经详细介绍了本申请各个实施例的应用环境和相关设备的硬件结构和功能。下面，将基于上述应用环境和相关设备，提出本申请的各个实施例。
首先，本申请提出一种外勤员工考勤管控系统200。
参阅图3所示，是本申请外勤员工考勤管控系统200第一实施例的程序模块图。本实施例中，所述外勤员工考勤管控系统200包括一系列的存储于存储器11上的计算机程序指令，当该计算机程序指令被处理器12执行时，可以实现本申请各实施例的外勤员工考勤管控操作。在一些实施例中，基于该计算机程序指令各部分所实现的特定的操作，外勤员工考勤管控系统200可以被划分为一个或多个模块。例如，在图3中，所述外勤员工考勤管控系统200可以 被分割成发送模块201、接收模块202、判断模块203。其中：
所述发送模块201，用于在工作时间内，每隔预设时间段，向该外勤员工对应的移动终端1发送定位指令。
具体地，首先根据该外勤员工对应的考勤工作表获取该外勤员工对应的工作时间，然后根据预设的监测频率，在工作时间内，每隔预设时间段，对该外勤员工进行考勤监测。例如，假设该外勤员工对应的工作时间为8：00～17：00，所述预设时间段为1小时，则早上8：00开始，每隔1小时向该外勤员工对应的移动终端1发送定位指令。
所述接收模块202，用于接收该移动终端1反馈的定位信息。
具体地，当该外勤员工对应的移动终端1接收到所述定位指令后，利用GPS等定位功能对当前位置进行定位，并反馈当前的定位信息。接收模块202接收该移动终端1反馈的定位信息。
所述判断模块203，用于判断该外勤员工是否在对应考勤工作表中的工作地点范围内。
具体地，根据所述定位信息和所述考勤工作表中的工作地点，可以判断该外勤员工是否在工作地点范围内。例如，假设所述工作地点为A市B子公司，若所述定位信息显示该移动终端1的位置在A市B子公司范围内，则判断该外勤员工当前在工作地点范围内；若所述定位信息显示该移动终端1的位置在A市B子公司范围之外，则判断该外勤员工当前不在工作地点范围内，表示考勤异常。
在其他实施例中，还可以根据所述移动终端1不断反馈的所述定位信息，绘制出所述外勤员工在上班期间的路线图。然后获取所述外勤员工上报的已完成工作任务，判断所述路线图与所述已完成工作任务的地点是否匹配。例如当所述外勤员工完成车险报案任务时，该任务的地点应该与所述外勤员工的路线图中对应时间点的位置信息相匹配。若所述路线图与所述已完成工作任务的地点不匹配，表示考勤异常。
所述发送模块201还用于当在考勤地点范围内时，向该移动终端1发送身份确认指令。
具体地，当判断出该外勤员工当前在工作地点范围内时，再向该外勤员工对应的移动终端1发送身份确认指令。所述身份确认指令用于确认该外勤员工本人当前在所述移动终端1附近，以防止人机分离的状况。所述身份确认指令可以是指纹识别指令、人脸识别指令等。
所述接收模块202还用于接收该移动终端1反馈的身份确认信息。
具体地，当该移动终端1接收到所述身份确认指令后，通知该外勤员工输入身份确认信息，例如输入指纹或者扫描脸部图像，然后反馈所述身份确认信息。接收模块202接收该移动终端1反馈的身份确认信息。
所述判断模块203还用于根据该身份确认信息判断是否为该外勤员工本人。
具体地，当接收到该身份确认信息后，将该身份确认信息与所设置的身 份信息进行对比，判断是否为该外勤员工本人。例如，当所述身份确认信息为指纹时，将接收到的指纹与所设置的身份信息中的指纹进行对比，若匹配成功则判断为该外勤员工本人，表示该外勤员工在对应的移动终端1附近，考勤正常；若匹配失败则判断为非该外勤员工本人，表示该外勤员工当前不在对应的移动终端1附近，考勤异常。同样地，当所述身份确认信息为脸部图像时，将接收到的脸部图像与所设置的身份信息中的脸部图像进行对比，若匹配成功则判断为该外勤员工本人，表示该外勤员工在对应的移动终端1附近，考勤正常；若匹配失败则判断为非该外勤员工本人，表示该外勤员工当前不在对应的移动终端1附近，考勤异常。
参阅图4所示，是本申请外勤员工考勤管控系统200第二实施例的程序模块图。本实施例中，所述的外勤员工考勤管控系统200除了包括第一实施例中的所述发送模块201、接收模块202、判断模块203之外，还包括设置模块204。
所述设置模块204用于设置该外勤员工的对应的考勤工作表。
具体地，所述考勤工作表是专为员工外勤期间设置，主要包括岗位类型、工作时间、工作地点等。
所述设置模块204还用于设置该外勤员工的对应的身份信息。
具体地，所述身份信息包括姓名、岗位、工号、指纹或脸部图像等。所述身份信息用于后续确认该外勤员工身份，以确定是该外勤员工本人携带对应的移动终端1进行考勤输入。
所述设置模块204还用于设置监测频率，即预设时间段。
具体地，在该员工出外勤期间，需要每隔一段时间对其考勤进行监测，可以预先设置一个合适的监测频率，即具体每隔多长时间(预设时间段)监测一次。
参阅图5所示，是本申请外勤员工考勤管控系统200第三实施例的程序模块图。本实施例中，所述的外勤员工考勤管控系统200在第二实施例的基础上，还包括生成模块205。
所述生成模块205用于根据判断结果生成该外勤员工的考勤报表。
具体地，当所述外勤员工当天的考勤监测完毕后，根据所述判断结果生成所述外勤员工当天的考勤报表。将该员工的姓名、岗位、工号、工作时间、工作地点、监测时间、定位信息、身份确认信息等数据一起记录到考勤报表中，同时记录考勤正常或考勤异常的判断结果。
将所述考勤报表发送至人资，以便人资对所述外勤员工当天的考勤状况进行管理。另外，当有考勤异常时，同时将所述考勤报表发送至所述外勤员工对应的移动终端1，发送方式可以是邮件等，以通知所述外勤员工上报考勤异常原因。
此外，本申请还提出一种外勤员工考勤管控方法。
参阅图6所示，是本申请外勤员工考勤管控方法第一实施例的流程示意图。在本实施例中，根据不同的需求，图6所示的流程图中的步骤的执行顺序可以改变，某些步骤可以省略。
步骤S600，在工作时间内，每隔预设时间段，向该外勤员工对应的移动终端1发送定位指令。
具体地，首先根据该外勤员工对应的考勤工作表获取该外勤员工对应的工作时间，然后根据预设的监测频率，在工作时间内，每隔预设时间段，对该外勤员工进行考勤监测。例如，假设该外勤员工对应的工作时间为8：00～17：00，所述预设时间段为1小时，则早上8：00开始，每隔1小时向该外勤员工对应的移动终端1发送定位指令。本步骤中主要是监测该外勤员工对应的移动终端1的当前位置。
步骤S602，接收该移动终端1反馈的定位信息，判断该外勤员工是否在对应考勤工作表中的工作地点范围内。
具体地，当该外勤员工对应的移动终端1接收到所述定位指令后，利用GPS等定位功能对当前位置进行定位，并反馈当前的定位信息。因此，根据所述定位信息和所述考勤工作表中的工作地点，可以判断该外勤员工是否在工作地点范围内。例如，假设所述工作地点为A市B子公司，若所述定位信息显示该移动终端1的位置在A市B子公司范围内，则判断该外勤员工当前在工作地点范围内；若所述定位信息显示该移动终端1的位置在A市B子公司范围之外，则判断该外勤员工当前不在工作地点范围内，表示考勤异常。
在其他实施例中，还可以根据所述移动终端1不断反馈的所述定位信息，绘制出所述外勤员工在上班期间的路线图。然后获取所述外勤员工上报的已完成工作任务，判断所述路线图与所述已完成工作任务的地点是否匹配。例如当所述外勤员工完成车险报案任务时，该任务的地点应该与所述外勤员工的路线图中对应时间点的位置信息相匹配。若所述路线图与所述已完成工作任务的地点不匹配，表示考勤异常。
步骤S604，当在考勤地点范围内时，向该移动终端1发送身份确认指令。
具体地，当判断出该外勤员工当前在工作地点范围内时，再向该外勤员工对应的移动终端1发送身份确认指令。所述身份确认指令用于确认该外勤员工本人当前在所述移动终端1附近，以防止人机分离的状况。所述身份确认指令可以是指纹识别指令、人脸识别指令等。
步骤S606，接收该移动终端1反馈的身份确认信息。
具体地，当该移动终端1接收到所述身份确认指令后，通知该外勤员工输入身份确认信息，例如输入指纹或者扫描脸部图像，然后反馈所述身份确认信息。
步骤S608，根据该身份确认信息判断是否为该外勤员工本人。
具体地，当接收到该身份确认信息后，将该身份确认信息与所设置的身份信息进行对比，判断是否为该外勤员工本人。例如，当所述身份确认信息为指纹时，将接收到的指纹与所设置的身份信息中的指纹进行对比，若匹配 成功则判断为该外勤员工本人，表示该外勤员工在对应的移动终端1附近，考勤正常；若匹配失败则判断为非该外勤员工本人，表示该外勤员工当前不在对应的移动终端1附近，考勤异常。同样地，当所述身份确认信息为脸部图像时，将接收到的脸部图像与所设置的身份信息中的脸部图像进行对比，若匹配成功则判断为该外勤员工本人，表示该外勤员工在对应的移动终端1附近，考勤正常；若匹配失败则判断为非该外勤员工本人，表示该外勤员工当前不在对应的移动终端1附近，考勤异常。
本实施例所提出的外勤员工考勤管控方法，可以当员工出外勤时，每隔预设时间段对该外勤员工对应的移动终端1进行定位，判断是否在工作地点范围内。同时，向该移动终端1发送身份确认指令，根据该移动终端1反馈的身份确认信息对该员工进一步进行身份确认，以防止人机分离的状况。当该移动终端1在工作地点范围内，且确认为该外勤员工本人在该移动终端1附近时，才表示考勤正常，可以对外勤员工进行更加严格有效的考勤管控。
如图7所示，是本申请外勤员工考勤管控方法的第二实施例的流程示意图。本实施例中，所述外勤员工考勤管控方法的步骤S706-S714与第一实施例的步骤S600-S608相类似，区别在于该方法还包括步骤S700-S704。
该方法包括以下步骤：
步骤S700，设置该外勤员工的对应的考勤工作表。
具体地，所述考勤工作表是专为员工外勤期间设置，主要包括岗位类型、工作时间、工作地点等。
步骤S702，设置该外勤员工的对应的身份信息。
具体地，所述身份信息包括姓名、岗位、工号、指纹或脸部图像等。所述身份信息用于后续确认该外勤员工身份，以确定是该外勤员工本人携带对应的移动终端1进行考勤输入。
步骤S704，设置监测频率，即预设时间段。
具体地，在该员工出外勤期间，需要每隔一段时间对其考勤进行监测，可以预先设置一个合适的监测频率，即具体每隔多长时间(预设时间段)监测一次。
步骤S706，在工作时间内，每隔预设时间段，向该外勤员工对应的移动终端1发送定位指令。
具体地，首先根据所述考勤工作表获取该外勤员工对应的工作时间，然后根据所设置的监测频率，在工作时间内，每隔预设时间段，对该外勤员工进行考勤监测。例如，假设该外勤员工对应的工作时间为8：00～17：00，所述预设时间段为1小时，则早上8：00开始，每隔1小时向该外勤员工对应的移动终端1发送定位指令。本步骤中主要是监测该外勤员工对应的移动终端1的当前位置。
步骤S708，接收该移动终端1反馈的定位信息，判断该外勤员工是否在该考勤工作表中的工作地点范围内。
具体地，当该外勤员工对应的移动终端1接收到所述定位指令后，利用GPS等定位功能对当前位置进行定位，并反馈当前的定位信息。因此，根据所述定位信息和所述考勤工作表中的工作地点，可以判断该外勤员工是否在工作地点范围内。例如，假设所述工作地点为A市B子公司，若所述定位信息显示该移动终端1的位置在A市B子公司范围内，则判断该外勤员工当前在工作地点范围内；若所述定位信息显示该移动终端1的位置在A市B子公司范围之外，则判断该外勤员工当前不在工作地点范围内，表示考勤异常。
在其他实施例中，还可以根据所述移动终端1不断反馈的所述定位信息，绘制出所述外勤员工在上班期间的路线图。然后获取所述外勤员工上报的已完成工作任务，判断所述路线图与所述已完成工作任务的地点是否匹配。例如当所述外勤员工完成车险报案任务时，该任务的地点应该与所述外勤员工的路线图中对应时间点的位置信息相匹配。若所述路线图与所述已完成工作任务的地点不匹配，表示考勤异常。
步骤S710，当在考勤地点范围内时，向该移动终端1发送身份确认指令。
具体地，当判断出该外勤员工当前在工作地点范围内时，再向该外勤员工对应的移动终端1发送身份确认指令。所述身份确认指令用于确认该外勤员工本人当前在所述移动终端1附近，以防止人机分离的状况。所述身份确认指令可以是指纹识别指令、人脸识别指令等。
步骤S712，接收该移动终端1反馈的身份确认信息。
具体地，当该移动终端1接收到所述身份确认指令后，通知该外勤员工输入身份确认信息，例如输入指纹或者扫描脸部图像，然后反馈所述身份确认信息。
步骤S714，根据该身份确认信息判断是否为该外勤员工本人。
具体地，当接收到该身份确认信息后，将该身份确认信息与所设置的身份信息进行对比，判断是否为该外勤员工本人。例如，当所述身份确认信息为指纹时，将接收到的指纹与所设置的身份信息中的指纹进行对比，若匹配成功则判断为该外勤员工本人，表示该外勤员工在对应的移动终端1附近，考勤正常；若匹配失败则判断为非该外勤员工本人，表示该外勤员工当前不在对应的移动终端1附近，考勤异常。同样地，当所述身份确认信息为脸部图像时，将接收到的脸部图像与所设置的身份信息中的脸部图像进行对比，若匹配成功则判断为该外勤员工本人，表示该外勤员工在对应的移动终端1附近，考勤正常；若匹配失败则判断为非该外勤员工本人，表示该外勤员工当前不在对应的移动终端1附近，考勤异常。
如图8所示，是本申请外勤员工考勤管控方法的第三实施例的流程示意图。本实施例中，所述外勤员工考勤管控方法的步骤S800-S814与第二实施例的步骤S700-S714相类似，区别在于该方法还包括步骤S816。
该方法包括以下步骤：
步骤S800，设置该外勤员工的对应的考勤工作表。
具体地，所述考勤工作表是专为员工外勤期间设置，主要包括岗位类型、工作时间、工作地点等。
步骤S802，设置该外勤员工的对应的身份信息。
具体地，所述身份信息包括姓名、岗位、工号、指纹或脸部图像等。所述身份信息用于后续确认该外勤员工身份，以确定是该外勤员工本人携带对应的移动终端1进行考勤输入。
步骤S804，设置监测频率，即预设时间段。
具体地，在该员工出外勤期间，需要每隔一段时间对其考勤进行监测，可以预先设置一个合适的监测频率，即具体每隔多长时间(预设时间段)监测一次。
步骤S806，在工作时间内，每隔预设时间段，向该外勤员工对应的移动终端1发送定位指令。
具体地，首先根据所述考勤工作表获取该外勤员工对应的工作时间，然后根据所设置的监测频率，在工作时间内，每隔预设时间段，对该外勤员工进行考勤监测。例如，假设该外勤员工对应的工作时间为8：00～17：00，所述预设时间段为1小时，则早上8：00开始，每隔1小时向该外勤员工对应的移动终端1发送定位指令。本步骤中主要是监测该外勤员工对应的移动终端1的当前位置。
步骤S808，接收该移动终端1反馈的定位信息，判断该外勤员工是否在该考勤工作表中的工作地点范围内。
具体地，当该外勤员工对应的移动终端1接收到所述定位指令后，利用GPS等定位功能对当前位置进行定位，并反馈当前的定位信息。因此，根据所述定位信息和所述考勤工作表中的工作地点，可以判断该外勤员工是否在工作地点范围内。例如，假设所述工作地点为A市B子公司，若所述定位信息显示该移动终端1的位置在A市B子公司范围内，则判断该外勤员工当前在工作地点范围内；若所述定位信息显示该移动终端1的位置在A市B子公司范围之外，则判断该外勤员工当前不在工作地点范围内，表示考勤异常。
在其他实施例中，还可以根据所述移动终端1不断反馈的所述定位信息，绘制出所述外勤员工在上班期间的路线图。然后获取所述外勤员工上报的已完成工作任务，判断所述路线图与所述已完成工作任务的地点是否匹配。例如当所述外勤员工完成车险报案任务时，该任务的地点应该与所述外勤员工的路线图中对应时间点的位置信息相匹配。若所述路线图与所述已完成工作任务的地点不匹配，表示考勤异常。
步骤S810，当在考勤地点范围内时，向该移动终端1发送身份确认指令。
具体地，当判断出该外勤员工当前在工作地点范围内时，再向该外勤员工对应的移动终端1发送身份确认指令。所述身份确认指令用于确认该外勤员工本人当前在所述移动终端1附近，以防止人机分离的状况。所述身份确认指令可以是指纹识别指令、人脸识别指令等。
步骤S812，接收该移动终端1反馈的身份确认信息。
具体地，当该移动终端1接收到所述身份确认指令后，通知该外勤员工输入身份确认信息，例如输入指纹或者扫描脸部图像，然后反馈所述身份确认信息。
步骤S814，根据该身份确认信息判断是否为该外勤员工本人。
具体地，当接收到该身份确认信息后，将该身份确认信息与所设置的身份信息进行对比，判断是否为该外勤员工本人。例如，当所述身份确认信息为指纹时，将接收到的指纹与所设置的身份信息中的指纹进行对比，若匹配成功则判断为该外勤员工本人，表示该外勤员工在对应的移动终端1附近，考勤正常；若匹配失败则判断为非该外勤员工本人，表示该外勤员工当前不在对应的移动终端1附近，考勤异常。同样地，当所述身份确认信息为脸部图像时，将接收到的脸部图像与所设置的身份信息中的脸部图像进行对比，若匹配成功则判断为该外勤员工本人，表示该外勤员工在对应的移动终端1附近，考勤正常；若匹配失败则判断为非该外勤员工本人，表示该外勤员工当前不在对应的移动终端1附近，考勤异常。
步骤S816，根据判断结果生成该外勤员工的考勤报表。
具体地，当所述外勤员工当天的考勤监测完毕后，根据所述判断结果生成所述外勤员工当天的考勤报表。将该员工的姓名、岗位、工号、工作时间、工作地点、监测时间、定位信息、身份确认信息等数据一起记录到考勤报表中，同时记录考勤正常或考勤异常的判断结果。
将所述考勤报表发送至人资，以便人资对所述外勤员工当天的考勤状况进行管理。另外，当有考勤异常时，同时将所述考勤报表发送至所述外勤员工对应的移动终端1，发送方式可以是邮件等，以通知所述外勤员工上报考勤异常原因。
上述本申请实施例序号仅仅为了描述，不代表实施例的优劣。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端设备(可以是手机，计算机，服务器，空调器，或者网络设备等)执行本申请各个实施例所述的方法。
以上仅为本申请的优选实施例，并非因此限制本申请的专利范围，凡是利用本申请说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本申请的专利保护范围内。

Claims (20)

  1. 一种外勤员工考勤管控方法，应用于应用服务器，其特征在于，所述方法包括步骤：
    在工作时间内，每隔预设时间段，向所述外勤员工对应的移动终端发送定位指令；
    接收所述移动终端反馈的定位信息；
    判断所述外勤员工是否在对应考勤工作表中的工作地点范围内；
    当判断出所述外勤员工当前在工作地点范围内时，向所述外勤员工对应的移动终端发送身份确认指令；
    接收所述移动终端反馈的身份确认信息；及
    根据所述身份确认信息判断是否为所述外勤员工本人，若是所述外勤员工本人，则考勤正常，否则为考勤异常。
  2. 如权利要求1所述的外勤员工考勤管控方法，其特征在于，所述根据所述身份确认信息判断是否为所述外勤员工本人的步骤具体包括：
    当接收到所述身份确认信息后，将所述身份确认信息与所设置的身份信息进行对比；
    若匹配成功则判断为所述外勤员工本人，表示所述外勤员工在对应的移动终端附近，考勤正常；
    若匹配失败则判断为非所述外勤员工本人，表示所述外勤员工当前不在对应的移动终端附近，考勤异常。
  3. 如权利要求1所述的外勤员工考勤管控方法，其特征在于，该方法还包括步骤：
    设置所述外勤员工的对应的考勤工作表，包括工作时间、工作地点；
    设置所述外勤员工的对应的身份信息；
    设置监测频率，即所述预设时间段。
  4. 如权利要求2所述的外勤员工考勤管控方法，其特征在于，该方法还包括步骤：
    设置所述外勤员工的对应的考勤工作表，包括工作时间、工作地点；
    设置所述外勤员工的对应的身份信息；
    设置监测频率，即所述预设时间段。
  5. 如权利要求2所述的外勤员工考勤管控方法，其特征在于，该方法还包括步骤：
    根据判断结果生成所述外勤员工的考勤报表，将所述考勤报表发送至人资，当有考勤异常时，同时将所述考勤报表发送至所述外勤员工，以通知所述外勤员工上报考勤异常原因。
  6. 如权利要求1所述的外勤员工考勤管控方法，其特征在于，所述判断所述外勤员工是否在对应考勤工作表中的工作地点范围内的步骤还包括：
    根据所述定位信息绘制所述外勤员工在上班期间的路线图，并获取所述 外勤员工上报的已完成工作任务，判断所述路线图与所述已完成工作任务的地点是否匹配；
    若所述路线图与所述已完成工作任务的地点不匹配，表示考勤异常。
  7. 如权利要求1所述的外勤员工考勤管控方法，其特征在于，所述身份确认指令为指纹识别指令或人脸识别指令。
  8. 一种应用服务器，其特征在于，所述应用服务器包括存储器、处理器，所述存储器上存储有可在所述处理器上运行的外勤员工考勤管控系统，所述外勤员工考勤管控系统被所述处理器执行时实现如下步骤：
    在工作时间内，每隔预设时间段，向所述外勤员工对应的移动终端发送定位指令；
    接收所述移动终端反馈的定位信息；
    判断所述外勤员工是否在对应考勤工作表中的工作地点范围内；
    当判断出所述外勤员工当前在工作地点范围内时，向所述外勤员工对应的移动终端发送身份确认指令；
    接收所述移动终端反馈的身份确认信息；及
    根据所述身份确认信息判断是否为所述外勤员工本人，若是所述外勤员工本人，则考勤正常，否则为考勤异常。
  9. 如权利要求8所述的应用服务器，其特征在于，所述根据所述身份确认信息判断是否为所述外勤员工本人的步骤具体包括：
    当接收到所述身份确认信息后，将所述身份确认信息与所设置的身份信息进行对比；
    若匹配成功则判断为所述外勤员工本人，表示所述外勤员工在对应的移动终端附近，考勤正常；
    若匹配失败则判断为非所述外勤员工本人，表示所述外勤员工当前不在对应的移动终端附近，考勤异常。
  10. 如权利要求8所述的应用服务器，其特征在于，所述外勤员工考勤管控系统被所述处理器执行时，还实现如下步骤：
    设置所述外勤员工的对应的考勤工作表，包括工作时间、工作地点；
    设置所述外勤员工的对应的身份信息；
    设置监测频率，即所述预设时间段。
  11. 如权利要求9所述的应用服务器，其特征在于，所述外勤员工考勤管控系统被所述处理器执行时，还实现如下步骤：
    设置所述外勤员工的对应的考勤工作表，包括工作时间、工作地点；
    设置所述外勤员工的对应的身份信息；
    设置监测频率，即所述预设时间段。
  12. 如权利要求9所述的应用服务器，其特征在于，所述外勤员工考勤管控系统被所述处理器执行时，还实现如下步骤：
    根据判断结果生成所述外勤员工的考勤报表，将所述考勤报表发送至人资，当有考勤异常时，同时将所述考勤报表发送至所述外勤员工，以通知所 述外勤员工上报考勤异常原因。
  13. 如权利要求8所述的应用服务器，其特征在于，所述判断所述外勤员工是否在对应考勤工作表中的工作地点范围内的步骤还包括：
    根据所述定位信息绘制所述外勤员工在上班期间的路线图，并获取所述外勤员工上报的已完成工作任务，判断所述路线图与所述已完成工作任务的地点是否匹配；
    若所述路线图与所述已完成工作任务的地点不匹配，表示考勤异常。
  14. 如权利要求8所述的应用服务器，其特征在于，所述身份确认指令为指纹识别指令或人脸识别指令。
  15. 一种计算机可读存储介质，所述计算机可读存储介质存储有外勤员工考勤管控系统，所述外勤员工考勤管控系统可被至少一个处理器执行，以使所述至少一个处理器执行如下步骤：
    在工作时间内，每隔预设时间段，向所述外勤员工对应的移动终端发送定位指令；
    接收所述移动终端反馈的定位信息；
    判断所述外勤员工是否在对应考勤工作表中的工作地点范围内；
    当判断出所述外勤员工当前在工作地点范围内时，向所述外勤员工对应的移动终端发送身份确认指令；
    接收所述移动终端反馈的身份确认信息；及
    根据所述身份确认信息判断是否为所述外勤员工本人，若是所述外勤员工本人，则考勤正常，否则为考勤异常。
  16. 如权利要求15所述的计算机可读存储介质，其特征在于，所述根据所述身份确认信息判断是否为所述外勤员工本人的步骤具体包括：
    当接收到所述身份确认信息后，将所述身份确认信息与所设置的身份信息进行对比；
    若匹配成功则判断为所述外勤员工本人，表示所述外勤员工在对应的移动终端附近，考勤正常；
    若匹配失败则判断为非所述外勤员工本人，表示所述外勤员工当前不在对应的移动终端附近，考勤异常。
  17. 如权利要求15或16所述的计算机可读存储介质，其特征在于，所述外勤员工考勤管控系统被所述处理器执行时，还实现如下步骤：
    设置所述外勤员工的对应的考勤工作表，包括工作时间、工作地点；
    设置所述外勤员工的对应的身份信息；
    设置监测频率，即所述预设时间段。
  18. 如权利要求16所述的计算机可读存储介质，其特征在于，所述外勤员工考勤管控系统被所述处理器执行时，还实现如下步骤：
    根据判断结果生成所述外勤员工的考勤报表，将所述考勤报表发送至人资，当有考勤异常时，同时将所述考勤报表发送至所述外勤员工，以通知所述外勤员工上报考勤异常原因。
  19. 如权利要求15所述的计算机可读存储介质，其特征在于，所述判断所述外勤员工是否在对应考勤工作表中的工作地点范围内的步骤还包括：
    根据所述定位信息绘制所述外勤员工在上班期间的路线图，并获取所述外勤员工上报的已完成工作任务，判断所述路线图与所述已完成工作任务的地点是否匹配；
    若所述路线图与所述已完成工作任务的地点不匹配，表示考勤异常。
  20. 如权利要求15所述的计算机可读存储介质，其特征在于，所述身份确认指令为指纹识别指令或人脸识别指令。
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