CN115810223A

CN115810223A - Method, device, processor and storage medium for attendance analysis

Info

Publication number: CN115810223A
Application number: CN202211478157.6A
Authority: CN
Inventors: 赵甜; 刘正; 陈萱; 吴鑫; 曾钊伟
Original assignee: Zhongke Yungu Technology Co Ltd
Current assignee: Zhongke Yungu Technology Co Ltd
Priority date: 2022-11-23
Filing date: 2022-11-23
Publication date: 2023-03-17

Abstract

The embodiment of the invention provides a method, a device, a processor and a storage medium for attendance analysis, and belongs to the technical field of computers. The method for attendance analysis is applied to an entrance guard attendance system, and comprises the following steps: acquiring an entrance guard attendance record of a user; and analyzing the entrance guard attendance records according to the entrance guard attendance records, the preset time node and the number of the entrance guard attendance records to obtain an attendance analysis result of the user. The embodiment of the invention can improve the fineness of the attendance analysis result.

Description

Method, device, processor and storage medium for attendance analysis

Technical Field

The invention relates to the technical field of computers, in particular to a method, a device, a processor and a storage medium for attendance analysis.

Background

Staff attendance is the basic work of enterprise organization discipline management, and enterprise managers can know the staff's manpower resource condition such as going on duty and going off duty at any time according to attendance data. Currently, most enterprises adopt an attendance checking and card punching mode of swiping a work card on site or punching a mobile card at a mobile phone end, and an attendance checking analysis method generally judges whether a late arrival or early departure behavior of a user exists according to a first attendance record and a last attendance record of the user every day. However, the actual application scene of the user is complex, and the existing attendance analysis result is not fine enough.

Disclosure of Invention

The embodiment of the invention aims to provide a method, a device, a processor and a storage medium for attendance analysis, so as to solve the problem that the attendance analysis result in the prior art is not refined enough.

In order to achieve the above object, a first aspect of an embodiment of the present invention provides a method for attendance analysis, which is applied to an access control and attendance system, and includes:

acquiring an entrance guard attendance record of a user;

and analyzing the entrance guard attendance records according to the entrance guard attendance records, the preset time node and the number of the entrance guard attendance records to obtain an attendance analysis result of the user.

In the embodiment of the present invention, the preset time nodes include a first preset time node, where the first preset time node is a first shift time node; according to entrance guard's attendance record, predetermine time node and entrance guard's attendance record's quantity and carry out the analysis to entrance guard's attendance record to obtain user's attendance analysis result, include: judging whether an entrance guard attendance record exists in a first preset time period before a first preset time node; determining a first number of entrance guard attendance records within a first preset time period under the condition that the entrance guard attendance records exist within the first preset time period; judging whether the first number is an odd number; and under the condition that the first number is determined to be an odd number, determining that the attendance analysis result corresponding to the first shift of the user is normal.

In the embodiment of the invention, the preset time nodes further comprise a second preset time node, wherein the second preset time node is a next-shift time node of the first shift; the method further comprises the following steps: under the condition that it is determined that no entrance guard attendance records exist in the first preset time period or the first number is not an odd number, judging whether entrance guard attendance records exist between the first preset time node and the second preset time node or not; and under the condition that the entrance guard attendance record exists between the first preset time node and the second preset time node, determining that an attendance analysis result corresponding to the first shift of the user is an abnormality of the on-duty card, wherein the abnormality of the on-duty card comprises late arrival.

In the embodiment of the invention, the preset time nodes further comprise a third preset time node, wherein the third preset time node is a next-shift time node of a second shift, and the second shift is positioned behind the first shift; the method further comprises the following steps: determining a second number of access control attendance records between the second preset time node and a third preset time node under the condition that it is determined that no access control attendance record exists between the first preset time node and the second preset time node; judging whether the second number is an odd number; and under the condition that the second number is determined to be an odd number, determining that the attendance analysis result corresponding to the first shift of the user is no work card record.

In an embodiment of the present invention, the method further comprises: and under the condition that the second number is not odd, determining that the attendance analysis result corresponding to the first shift of the user is the missed attendance card.

In an embodiment of the present invention, the method further comprises: determining the time point of a working card corresponding to the first shift of the user; judging whether an entrance guard attendance record exists between the time point of the office card and a second preset time node; determining a third number of access control attendance records between the time point of the office card and a second preset time node under the condition that the access control attendance records exist between the time point of the office card and the second preset time node; under the condition that the third number is determined to be an odd number, determining that an attendance analysis result corresponding to the user in the first shift is abnormal, wherein the abnormal attendance comprises early retreat; and under the condition that no entrance guard attendance record exists between the time point of the on-duty card and the second preset time node or the third number is not an odd number, determining that the attendance analysis result corresponding to the first shift of the user is normal.

In the embodiment of the invention, the preset time nodes further comprise a fourth preset time node, wherein the fourth preset time node is a working time node of the second shift; the method further comprises the following steps: determining a fourth number of entrance guard attendance records between the second preset time node and a fourth preset time node under the condition that the attendance analysis result corresponding to the first shift of the user is determined to be that the work card is normal or the work card is abnormal; judging whether the fourth quantity is an odd number; and under the condition that the fourth quantity is not determined to be an odd number, determining that the attendance analysis result corresponding to the user in the second class is normal.

In an embodiment of the present invention, the method further comprises: under the condition that the fourth number is determined to be odd, judging whether an entrance guard attendance record exists between a fourth preset time node and a third preset time node; and under the condition that the entrance guard attendance record exists between the fourth preset time node and the third preset time node, determining that the attendance analysis result corresponding to the user in the second class is abnormal.

In an embodiment of the present invention, the method further comprises: and under the condition that the entrance guard attendance record does not exist between the fourth preset time node and the third preset time node, determining that the attendance analysis result corresponding to the user in the second class is the attendance card-free record.

In an embodiment of the present invention, the method further comprises: judging whether an access control attendance record exists between a second preset time node and a third preset time node or not under the condition that the attendance analysis result corresponding to the first shift of the user is abnormal or no work card record; and under the condition that the entrance guard attendance record does not exist between the second preset time node and the third preset time node, determining that the attendance analysis result corresponding to the user in the second class is the attendance card-free record.

In an embodiment of the present invention, the method further comprises: under the condition that the entrance guard attendance records exist between the second preset time node and the third preset time node, judging whether the fourth number is an odd number; and under the condition that the fourth quantity is determined to be odd, determining that the attendance analysis result corresponding to the user in the second class is normal.

In an embodiment of the present invention, the method further comprises: under the condition that the fourth number is not determined to be an odd number, judging whether an entrance guard attendance record exists between a fourth preset time node and a third preset time node; under the condition that an entrance guard attendance record exists between the fourth preset time node and the third preset time node, determining that an attendance analysis result corresponding to the user in the second shift is abnormal; and under the condition that the entrance guard attendance record does not exist between the fourth preset time node and the third preset time node, determining that the attendance analysis result corresponding to the user in the second class is the attendance card-free record.

In an embodiment of the present invention, the method further comprises: determining the time point of a working card corresponding to the user in the second class; determining a fifth number of entrance guard attendance records between the time point of the office card and a third preset time node; judging whether the fifth number is an odd number; and under the condition that the fifth quantity is determined to be an odd number, determining that the attendance analysis result corresponding to the user in the second class is abnormal.

In an embodiment of the present invention, the method further comprises: determining a sixth number of entrance guard attendance records within a second preset time period after a third preset time node under the condition that the fifth number is not an odd number; judging whether the sixth quantity is zero or not; under the condition that the sixth quantity is not zero, determining that the attendance analysis result corresponding to the user in the second shift is normal; and under the condition that the sixth quantity is determined to be zero, determining that the attendance analysis result corresponding to the user in the second shift is the missed attendance card.

In an embodiment of the present invention, the method further comprises: and determining the effective working time of the user according to the attendance analysis result.

In the embodiment of the invention, the step of determining the effective working time of the user according to the attendance analysis result comprises the following steps: determining the time point of an on-duty card corresponding to a preset shift and the time point of an off-duty card corresponding to the preset shift of a user; determining that the entrance guard attendance records corresponding to the preset shift have time approaching and paired entrance guard attendance records except the entrance guard attendance record corresponding to the on-duty card time point and the entrance guard attendance record corresponding to the off-duty card time point; determining the outgoing time length corresponding to the preset shift of the user according to the time points respectively corresponding to the entrance guard attendance records with close time and in pairs; and determining the effective working time corresponding to the preset shift of the user according to the time point of the on-duty card, the time point of the off-duty card and the outgoing time.

A second aspect of the embodiments of the present invention provides a processor configured to execute the method for attendance analysis according to the above.

The third aspect of the embodiments of the present invention provides an apparatus for attendance analysis, which is applied to an access control and attendance system, and includes:

the system comprises a record acquisition module, a storage module and a control module, wherein the record acquisition module is used for acquiring the access control and attendance record of a user;

and the attendance analysis module is used for analyzing the entrance guard attendance records according to the entrance guard attendance records, the preset time node and the number of the entrance guard attendance records so as to obtain the attendance analysis result of the user.

A fourth aspect of the embodiments of the present invention provides a machine-readable storage medium, on which a program or instructions are stored, where the program or instructions, when executed by a processor, implement the method for attendance analysis according to the above.

According to the technical scheme, the entrance guard attendance system is adopted to record the attendance condition of the user, the phenomenon that the user forgets to take an industrial card or replaces the card punching can be avoided, the truth degree of attendance data is improved, the entrance guard attendance record of the user is obtained, the entrance guard attendance record is analyzed according to the entrance guard attendance record, the preset time node and the number of the entrance guard attendance record, the attendance analysis result of the user is obtained, the times and the time of the user entering and exiting an office place are hooked with the attendance data, the defect that an application scene existing in the prior art is not fine enough is overcome, the attendance behavior of the user can be accurately analyzed, and the accuracy and the fineness of the attendance data analysis result are improved.

Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.

Drawings

The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:

fig. 1 schematically illustrates a flow diagram of a method for attendance analysis in an embodiment of the invention;

fig. 2 is a schematic diagram illustrating a system architecture of a door access attendance system according to an embodiment of the present invention;

fig. 3 schematically illustrates a schematic diagram of attendance data collection and analysis flow in an embodiment of the invention;

FIG. 4 is a schematic flow chart illustrating the attendance analysis logic of the attendance card in an embodiment of the invention;

FIG. 5 is a schematic flow chart diagram illustrating the morning attendance analysis logic in one embodiment of the present invention;

FIG. 6 is a schematic flow chart illustrating the attendance analysis logic in one embodiment of the present invention;

FIG. 7 is a schematic flow chart diagram illustrating the off-duty card attendance analysis logic in one embodiment of the present invention;

FIG. 8 is a flow diagram that schematically illustrates egress duration analysis logic, in accordance with an embodiment of the present invention;

fig. 9 is a block diagram schematically illustrating a structure of an apparatus for attendance analysis according to an embodiment of the present invention.

Detailed Description

The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.

It should be noted that, if directional indications (such as up, down, left, right, front, and back … …) are involved in the embodiment of the present invention, the directional indications are only used to explain the relative position relationship between the components, the motion situation, and the like in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indications are changed accordingly.

In addition, if there is a description of "first", "second", etc. in an embodiment of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between the embodiments may be combined with each other, but must be based on the realization of the technical solutions by a person skilled in the art, and when the technical solutions are contradictory to each other or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.

Fig. 1 schematically shows a flow diagram of a method for attendance analysis in an embodiment of the present invention. As shown in fig. 1, in an embodiment of the present invention, a method for attendance analysis is provided, which is applied to an access attendance system, and is described by taking an example that the method is applied to a processor, where the method may include the following steps:

and S102, acquiring the entrance guard attendance record of the user.

And step S104, analyzing the entrance guard attendance records according to the entrance guard attendance records, the preset time node and the number of the entrance guard attendance records to obtain an attendance analysis result of the user.

It can be understood that the access control and attendance system is a system adopting access control as an attendance principle, the access control and attendance system can record the time of a user entering and exiting an office place each time, and the access control and attendance system can be, for example, an attendance machine based on face recognition and the like. The entrance guard attendance record is historical entrance guard attendance data of a user in a past period of time. The preset time node is a time node of a preset shift time period, such as 8 am or 12 pm. The attendance analysis result is a result of analyzing and judging whether the attendance behavior of the user is normal or not according to the entrance guard attendance data of the user, such as normal attendance card or abnormal attendance card.

Specifically, the processor may obtain an entrance guard attendance record of the user, and further may analyze the entrance guard attendance record according to the entrance guard attendance record, the preset time node, and the number of the entrance guard attendance records to obtain an attendance analysis result of the user, for example, when the preset time node is 8 am, if the number of the entrance guard attendance records of the user before 8 am is three, it is described that three entrance guard attendance records of the user before 8 am are provided, which correspond to one entry and one exit, respectively, at this time, it may be determined that the attendance analysis result of the user is normal for an office card, and it may be determined that the office card time point of the user is a time point corresponding to an entrance guard attendance record closest to 8 am among the three entrance guard attendance records, that is, the last time when the user enters an office place is effective office time. For another example, when the preset time node is 8 am, if the user has one entrance guard attendance record before 8 am and one entrance guard attendance record after 8 am, which correspond to one entrance and one exit, it may be stated that the user has an early exit behavior in the morning, that is, the attendance analysis result of the user is early exit in the morning.

According to the method for attendance analysis, the entrance guard attendance system is adopted to record the attendance condition of the user, the phenomenon that the user forgets to take an industrial card or replaces card punching can be avoided, the truth degree of attendance data is improved, the entrance guard attendance record of the user is obtained, the entrance guard attendance record is analyzed according to the entrance guard attendance record, the preset time node and the number of the entrance guard attendance records, the attendance analysis result of the user is obtained, the number of times and the time of the user entering and exiting an office place are hooked with the attendance data, the defect that an application scene is not fine enough in the prior art is overcome, the attendance behavior of the user can be accurately analyzed, and the accuracy and the fineness of the attendance data analysis result are improved.

In one embodiment, the preset time nodes include a first preset time node, wherein the first preset time node is a first shift time node; according to entrance guard's attendance record, predetermine time node and entrance guard's attendance record's quantity and carry out the analysis to entrance guard's attendance record to obtain user's attendance analysis result, include: judging whether an entrance guard attendance record exists in a first preset time period before a first preset time node; determining a first number of entrance guard attendance records within a first preset time period under the condition that the entrance guard attendance records exist within the first preset time period; judging whether the first number is an odd number; and under the condition that the first number is determined to be odd, determining that the attendance analysis result corresponding to the first shift of the user is normal.

It will be appreciated that the first shift may be the first shift that the user is working on a day, for example a morning shift, which may correspond to a time period from 8 am to 12 am. The first predetermined time node is a first shift of the office time node, such as 8 am. The first preset time period is a preset time period, for example, 2 hours or 3 hours. The first number is the number of entrance guard attendance records in a first preset time period before a first preset time node.

Specifically, the processor may determine whether an access record exists in a first preset time period (e.g., 3 hours) before a first preset time node (e.g., 8 am), e.g., determine whether an access record exists from 5 am to 8 am, when it is determined that an access record exists in the time period (e.g., from 5 am to 8 am), determine a first number of the access records in the time period (e.g., from 5 am to 8 am), determine whether the first number is an odd number, if it is determined that the first number is an odd number, determine that an access analysis result corresponding to the user in the first shift (e.g., the last shift) is normal for the access card, take the first number as an example, when the corresponding actual application scenario is that the user has an access point condition of entering one time before the first preset time node, because the access record of the last access point is before the first preset time node, the access point of the access card may be taken in the office at the last time of the access record corresponding to the access point. Understandably, the method and the device improve the accuracy of the attendance analysis result and realize the fine management of the attendance data.

In one embodiment, the preset time nodes further include a second preset time node, wherein the second preset time node is a next time node of the first shift; the method for attendance analysis further comprises: under the condition that it is determined that no entrance guard attendance records exist in the first preset time period or the first number is not an odd number, judging whether entrance guard attendance records exist between the first preset time node and the second preset time node or not; and under the condition that the entrance guard attendance record exists between the first preset time node and the second preset time node, determining that an attendance analysis result corresponding to the first shift of the user is an abnormality of the on-duty card, wherein the abnormality of the on-duty card comprises late arrival.

It is understood that the second predetermined time node is the next hour node of the first shift, and when the first shift is from 8 am to 12 pm, the second predetermined time node may be 12 pm.

Specifically, when it is determined that no access record exists within a first preset time period (e.g., 3 hours) before a first preset time node (e.g., 8 am), the processor may indicate that the user did not punch a card before 8 am, or when it is determined that a first number of access records within the first preset time period is not an odd number, e.g., the first number is 0 or an even number, may indicate that an access record of the user before 8 am is an entry-exit record, may determine whether an access record exists between the first preset time node (e.g., 8 am) and a second preset time node (e.g., 12 am), and when an access record exists between the first preset time node and the second preset time node, may determine that an access analysis result corresponding to the user at the first time is an exception of the access card, i.e., the first time is late to the office.

In one embodiment, the preset time nodes further include a third preset time node, wherein the third preset time node is a next-shift time node of a second shift, and the second shift is located after the first shift; the method further comprises the following steps: determining a second number of access control attendance records between the second preset time node and a third preset time node under the condition that it is determined that no access control attendance record exists between the first preset time node and the second preset time node; judging whether the second number is an odd number; and under the condition that the second number is determined to be an odd number, determining that the attendance analysis result corresponding to the first shift of the user is no work card record.

It will be appreciated that the second shift may be a second shift of the user from work during the day, which is located after the first shift, e.g. when the first shift is a shift of the morning, the second shift may be a shift of the afternoon, and the corresponding time period for the second shift may be from 2 pm to 5 pm. The third predetermined time node is the next hour node of the second shift, for example, 5 pm. The second number is the number of the access control and attendance records between the second preset time node and the third preset time node.

Specifically, in the case that it is determined that no access attendance record exists within the first preset time period or the first number is not an odd number, the processor further determines that no access attendance record exists between the first preset time node (for example, 8 am) and the second preset time node (for example, 12 pm), at this time, it may determine that the second number of access attendance records exists between the second preset time node (for example, 12 pm) and the third preset time node (for example, 5 pm), and determines whether the second number is an odd number, and in the case that it is determined that the second number is an odd number, it is determined that the attendance analysis result corresponding to the first shift is no work card record, for example, the second number is 3, it indicates that the access record of the user from 12 pm to 5 pm is one in one out, where it is determined that the access record of the user is the first shift no work card record because the processor analyzes that the access record of the first shift is a normal access card, that the access record exists after the third preset time node, and thus it may determine that the access record of the access record is the first shift no work record corresponding to the access card, that the access record is the first shift no work record.

In one embodiment, the method for attendance analysis further comprises: and under the condition that the second number is not odd, determining that the attendance analysis result corresponding to the first shift of the user is the missed attendance card.

Specifically, if the second number is not an odd number, for example, 2, in a case that the default second off-duty card is normal, it indicates that the user has entered and exited from 12 pm to 5 pm as one-out-one-in, so that it can be determined that the user misses the first off-duty card, that is, it is determined that the attendance analysis result corresponding to the user in the first off-duty card is the missed off-duty card. Further, if the attendance analysis result is that the attendance card is missed, the attendance card time point of the first shift may be defaulted as the first preset time node, and the actual attendance card time point of the first shift may also be confirmed to the user.

In one embodiment, the method for attendance analysis further comprises: determining the time point of a working card corresponding to the first shift of the user; judging whether an entrance guard attendance record exists between the time point of the office card and a second preset time node; determining a third number of access control attendance records between the time point of the office card and a second preset time node under the condition that the access control attendance records exist between the time point of the office card and the second preset time node; under the condition that the third number is determined to be an odd number, determining that an attendance analysis result corresponding to the user in the first shift is abnormal, wherein the abnormal attendance comprises early retreat; and under the condition that no entrance guard attendance record exists between the time point of the on-duty card and the second preset time node or the third number is not an odd number, determining that the attendance analysis result corresponding to the first shift of the user is normal.

It can be understood that the third number is the number of entrance guard attendance records between the time point of the office card and the second preset time node.

Specifically, if there is an attendance analysis result regarding the first shift of the work cards, for example, the first shift of the work cards is normal or the first shift of the work cards is abnormal, the attendance analysis of the first shift of the work cards may be performed, otherwise, the attendance analysis of the first shift of the work cards is not required. The processor may determine an attendance analysis result of the first shift attendance card according to an attendance analysis result of the first shift attendance card, determine whether an access record exists between the first shift attendance card time point and a second preset time node (e.g., 12 pm), determine a third number of the access records between the first shift attendance card time point and the second preset time node if it is determined that the access record exists, and determine that an attendance analysis result corresponding to the first shift by the user is an exception for the next shift card if the third number is an odd number, e.g., 1 time, i.e., the first shift is exited early. If it is determined that no entrance guard attendance record exists between the time point of the attendance card and a second preset time node (for example, 12 pm) or the third number is not an odd number, it may be determined that the attendance analysis result corresponding to the user in the first shift is normal, that is, the attendance of the first shift is normal.

In one embodiment, the preset time nodes further include a fourth preset time node, wherein the fourth preset time node is a second working time node; the method for attendance analysis further comprises: determining a fourth number of entrance guard attendance records between the second preset time node and a fourth preset time node under the condition that the attendance analysis result corresponding to the first shift of the user is determined to be that the work card is normal or the work card is abnormal; judging whether the fourth quantity is an odd number; and under the condition that the fourth quantity is not odd, determining that the attendance analysis result corresponding to the user in the second class is normal.

It is understood that the fourth preset time node is the office time node of the second shift, for example, the fourth preset time node may be 2 pm when the second shift is from 2 pm to 5 pm. The fourth quantity is the quantity of the entrance guard attendance records between the second preset time node and the fourth preset time node.

Specifically, when the processor determines that the attendance analysis result corresponding to the first shift of the user is normal to the work card or abnormal to the work card, that is, when the user normally operates the work card in the first shift or the first shift of the user is late, the processor may determine a fourth number of the access control attendance records between a second preset time node (for example, 12 pm) and a fourth preset time node (for example, 2 pm), and determine whether the fourth number is an odd number, and if the fourth number is not an odd number, for example, 2 times, the corresponding access scene may be one out, which indicates that the attendance analysis result corresponding to the user in the second shift of the user is normal to the work card, that is, the user normally operates the work card in the second shift of the user.

In one embodiment, the method for attendance analysis may further comprise: under the condition that the fourth number is determined to be an odd number, judging whether an entrance guard attendance record exists between a fourth preset time node and a third preset time node; and under the condition that the entrance guard attendance record exists between the fourth preset time node and the third preset time node, determining that the attendance analysis result corresponding to the user in the second class is abnormal.

Specifically, if the fourth number is odd, for example, 1 time, the corresponding access scene is one time, the processor may further determine whether an access record exists between a fourth preset time node (for example, 2 pm) and a third preset time node (for example, 5 pm), and if the access record exists, it may be determined that the access analysis result corresponding to the user in the second shift is an exception of the attendance card, for example, the attendance card arrives late.

In one embodiment, the method for attendance analysis may further comprise: and under the condition that the entrance guard attendance record does not exist between the fourth preset time node and the third preset time node, determining that the attendance analysis result corresponding to the user in the second class is the attendance card-free record.

Specifically, if the processor further determines that no access control attendance record exists between the fourth preset time node (e.g., 2 pm) and the third preset time node (e.g., 5 pm), it may be determined that the attendance analysis result corresponding to the user in the second shift is no attendance card record.

In one embodiment, the method for attendance analysis may further comprise: judging whether an entrance guard attendance record exists between a second preset time node and a third preset time node or not under the condition that the attendance analysis result corresponding to the first shift of the user is abnormal or no attendance record; and under the condition that the entrance guard attendance record does not exist between the second preset time node and the third preset time node, determining that the attendance analysis result corresponding to the user in the second class is the attendance card-free record.

Specifically, when determining that the attendance analysis result corresponding to the user in the first shift is abnormal for an off-duty card or no-attendance card record, wherein the abnormal for the off-duty card is, for example, early-going back, it may be further determined whether an access control attendance record exists between a second preset time node (for example, at 12 pm) and a third preset time node (for example, at 5 pm), and if the access control attendance record does not exist, it may be determined that the attendance analysis result corresponding to the user in the second shift is no-attendance card record, that is, no-attendance card record in the second shift.

In one embodiment, the method for attendance analysis may further comprise: under the condition that the entrance guard attendance records exist between the second preset time node and the third preset time node, judging whether the fourth number is an odd number; and under the condition that the fourth quantity is determined to be odd, determining that the attendance analysis result corresponding to the user in the second class is normal.

Specifically, if the processor further determines that an access attendance record exists between a second preset time node (for example, at 12 pm) and a third preset time node (for example, at 5 pm), it is determined whether a fourth number of the access attendance records between the second preset time node (for example, at 12 pm) and a fourth preset time node (for example, at 2 pm) is an odd number, and if the fourth number is an odd number, for example, 1 time, a corresponding access scene may be one-in, and at this time, it may be determined that an attendance analysis result corresponding to the user in the second shift is that the office card is normal.

In one embodiment, the method for attendance analysis may further comprise: under the condition that the fourth number is not determined to be an odd number, judging whether an entrance guard attendance record exists between a fourth preset time node and a third preset time node; under the condition that an entrance guard attendance record exists between the fourth preset time node and the third preset time node, determining that an attendance analysis result corresponding to the user in the second class is abnormal; and under the condition that the entrance guard attendance record does not exist between the fourth preset time node and the third preset time node, determining that the attendance analysis result corresponding to the user in the second class is the attendance card-free record.

Specifically, if the processor determines that the fourth number is not odd, for example, 2 times, and the corresponding access scene may be one access and one access, it may be further determined whether an access record exists between a fourth preset time node (for example, 2 pm) and a third preset time node (for example, 5 pm), and if the access record exists, it may be determined that the attendance analysis result corresponding to the user on the second shift is an exception of the work card, that is, the work card arrives late; if the access control attendance record does not exist, the attendance analysis result corresponding to the user in the second shift can be determined to be the attendance card-free record.

In one embodiment, the method for attendance analysis may further comprise: determining the time point of the working card corresponding to the user in the second class; determining a fifth number of entrance guard attendance records between the time point of the office card and a third preset time node; judging whether the fifth number is an odd number; and under the condition that the fifth quantity is determined to be an odd number, determining that the attendance analysis result corresponding to the user in the second class is abnormal.

It can be understood that the fifth number is the number of entrance guard attendance records between the attendance card time point of the second shift and the third preset time node.

Understandably, if the attendance analysis result about the second class of work cards exists, for example, the second class of work cards is normal or abnormal, the attendance analysis of the second class of work cards can be performed, otherwise, the attendance analysis of the second class of work cards is not required. Specifically, the processor may determine, according to the attendance analysis result of the second class of the attendance card, the attendance card time point corresponding to the user in the second class, for example, take the attendance card time point closest to the fourth preset time node and not reaching the fourth preset time node as an effective attendance card time point, determine a fifth number of the access attendance records between the attendance card time point and the third preset time node (for example, 5 pm), and determine whether the fifth number is an odd number, if it is determined that the fifth number is an odd number, for example, 3 times, at this time, the corresponding access scene may be one in and one out, and may determine that the attendance analysis result corresponding to the user in the second class is an exception of the second class of the attendance card, that is, the second class of the attendance card is going back early.

In one embodiment, the method for attendance analysis may further comprise: determining a sixth number of entrance guard attendance records within a second preset time period after a third preset time node under the condition that the fifth number is not an odd number; judging whether the sixth quantity is zero or not; under the condition that the sixth quantity is not zero, determining that the attendance analysis result corresponding to the user in the second shift is normal; and under the condition that the sixth quantity is determined to be zero, determining that the attendance analysis result corresponding to the user in the second shift is the missed attendance card.

It is understood that the second preset time period is a preset time period, such as 3 hours or 4 hours. The sixth number is the number of entrance guard attendance records in a second preset time period after the third preset time node.

Specifically, if the processor further determines that the fifth number is not an odd number, for example, 2 times, at this time, the corresponding access scene may be one access, and at this time, a sixth number of access attendance records in a second preset time period after a third preset time node (for example, 5 pm) may be determined, for example, the sixth number may be the number of access attendance records from 5 pm to 12 pm, if the sixth number is not zero, it may be determined that the attendance analysis result corresponding to the user in the second shift is normal, and if the sixth number is zero, it may be determined that the attendance analysis result corresponding to the user in the second shift is missed attendance.

In one embodiment, the method for attendance analysis may further comprise: and determining the effective working time of the user according to the attendance analysis result.

It can be understood that the effective working time period is the actual working time period of the user at the office location.

Specifically, taking the first shift as an example, when the attendance analysis result of the user in the first shift is that the office card is normal and the off-duty card is normal, the processor may determine the effective working duration of the user in the first shift according to the office card time point corresponding to the office card and the off-duty card time point corresponding to the off-duty card, for example, the difference between the off-duty card time point and the office card time point is made, so as to obtain the effective working duration of the first shift. For example, when the preset time node includes 8 am and 12 am, if the access control attendance record of the user is a punch card record before 8 am and after 12 am, it may be determined that the attendance analysis result of the user is normal for the morning work card and normal for the afternoon work card, so that the effective working time of the user may be determined to be 4 hours according to the attendance analysis result, and if the access control attendance record of the user is a punch card record before 8 am and 10 am, it may be determined that the attendance analysis result of the user is normal for the morning work card and abnormal for the afternoon work card, so that it may be determined that the effective working time of the user is 2 hours.

In the embodiment of the application, the clear and effective attendance card time point and the clear and effective attendance card time point can be determined according to the attendance analysis result, so that the effective working time of a user can be accurately determined, and the intelligent degree and the fine degree of an attendance system are improved.

In one embodiment, determining the effective working time of the user according to the attendance analysis result comprises: determining the time point of an on-duty card corresponding to a preset shift and the time point of an off-duty card corresponding to the preset shift of a user; determining that the entrance guard attendance records corresponding to the preset shift have time approaching and paired entrance guard attendance records except the entrance guard attendance record corresponding to the on-duty card time point and the entrance guard attendance record corresponding to the off-duty card time point; determining the outgoing time length corresponding to the preset shift of the user according to the time points respectively corresponding to the entrance guard attendance records with close time and in pairs; and determining the effective working time corresponding to the preset shift of the user according to the time point of the on-duty card, the time point of the off-duty card and the outgoing time.

It is understood that the preset shift is a preset shift to work, such as a first shift which may be a shift to the morning or a second shift which may be a shift to the afternoon.

Specifically, the processor may determine, according to the method in the foregoing embodiment, an on-duty card time point corresponding to the preset shift and an off-duty card time point corresponding to the preset shift of the user, and if there is a case of missed on-duty card or off-duty card, may obtain a real attendance time from the user, or may select a default on-duty time node or off-duty time node of the preset shift as the on-duty card time point or off-duty card time point of the user in the preset shift. When the user goes out in the working time period, the access control attendance records with approximate time and pairs in the access control attendance records corresponding to the preset shift except the access control attendance record corresponding to the working card time point and the access control attendance record corresponding to the working card time point can be further determined, the outgoing time length corresponding to the preset shift of the user is determined according to the time points respectively corresponding to the access control attendance records with approximate time and pairs, for example, the outgoing time length is obtained by subtracting the time point with the later time from the time point with the earlier time, further, the outgoing time number can be one time or multiple times, and the effective working time length corresponding to the preset shift of the user can be determined according to the working card time point, the working card time point and the outgoing time length. Further, when the preset shift comprises a first shift and a second shift, the processor may determine the effective working time duration corresponding to the first shift and the effective working time duration corresponding to the second shift of the user, and may add the effective working time durations, so that the total effective working time duration of the user in the first shift and the total effective working time duration of the user in the second shift may be obtained, and accurate calculation of the effective working time duration of the user may be achieved.

In a specific embodiment, an access attendance system is provided, as shown in fig. 2, the access attendance system is mainly divided into five modules: attendance data acquisition and analysis, attendance management, shift arrangement management, personnel management and process management. The enterprise attendance access can be provided with an attendance machine based on face recognition, the time of each time when the employee gets in and out of an office is accurately recorded by adopting the principle that entrance guard is attendance, an attendance data analysis platform is established based on big data analysis, attendance data on the employee face recognition attendance machine is collected, and the employee effective time and the overtime time are accurately analyzed by combining the flow data of leave asking and go out of the employee.

(1) Attendance data acquisition and analysis: the module realizes face management, attendance machine management, attendance data uploading and attendance data analysis.

1.1 Face management: the module comprises the functions of inputting, updating, deleting and issuing face information, and completes the face recognition function by combining hardware equipment.

1.2 Attendance machine management: the attendance machine fault detection and alarm system is used for management of the existing attendance machine and realizes fault detection and alarm of the attendance machine based on the condition of uploading attendance data.

1.3 Attendance data uploading: and regularly collecting face recognition data in the terminal attendance equipment.

The attendance data collection and analysis process is as follows (as shown in fig. 3):

1.4 Attendance data analysis: analyzing the employee attendance result in a data batch processing mode according to the acquired attendance original record, the leave-on record and the scheduling data, cross-verifying whether the overtime application submitted by the employee is valid or not by combining the overtime data, and counting the effective working time of the employee. The specific logic is as follows (taking shift 8-12 am, 00-17 pm for example).

1.4.1 Attendance analysis logic (see fig. 4 for reference)

1. And judging whether the cards are paired from 3h before the start of the shift to the start time of the shift, wherein an unpaired valid card closest to the start time of the shift is an on-duty card, and the earliest valid card from the start time of the shift to the end time of the morning period is taken as the on-duty card in the paired mode.

2. If no card punching record exists within 3h before the beginning of the shift, the earliest valid card from the beginning of the shift to the ending time of the morning shift is taken as the working card.

3. No card punching record exists in the time period from the beginning of the shift to the end of the morning shift, and if the card punching record is odd before the end of the shift, the card punching record is regarded as the morning non-card punching record; otherwise, the work card is missed.

1.4.2 Am attendance analysis logic (see fig. 5 for reference)

1. If no office card exists, the attendance in the morning is not required to be analyzed.

2. The method comprises the steps that an office card exists, a card punching record exists from the time of punching the card by the office card to the end time of the office period in the morning, and the number of times of the card punching record is odd, so that the office card is considered to be early returned in the morning, and the time which is the latest from the end time of the office period in the morning is recorded as the time of leaving the office in the afternoon; otherwise, recording the end time of the working period in the morning as the working time in the afternoon.

1.4.3 Afternoon attendance analysis logic (see fig. 6 for reference.)

1. If the card is punched in pairs or no card punching record in the half-hour rest time period, the next morning and the next morning are taken as the next morning and the office cards.

2. If the card punching records exist in the morning time period in the afternoon, the effective card which is late in the afternoon and is nearest to the afternoon office time of the shift is considered as the afternoon office time; otherwise, no card swiping record is considered in the afternoon.

3. The method comprises the following steps that morning exits (or no card record is carried out in the morning) and card punching is carried out in a half-hour rest time period in pairs or no card punching record is carried out, if the card punching record exists in the afternoon working time period, the afternoon is considered to be late, and an effective card closest to the afternoon working time of a shift is the afternoon working time; otherwise, no card swiping record is considered in the afternoon.

4. And (3) retreating in the morning (or recording without a card in the morning), and taking the afternoon working time of the shift as the afternoon working card if the cards are not paired in the noon rest time period.

1.4.4 Attendance analysis logic (see FIG. 7 for reference)

1. If the office card does not exist in the afternoon, the attendance in the afternoon does not need to be analyzed.

2. The punch-card records are paired or no after the morning card to the end of the afternoon shift. If no card punching record exists from the end time of the shift to the next 3 o' clock, the user thinks that the card punching is missed Ban Ka; otherwise, the latest valid card after the end time of the shift is taken as the next shift card.

3. And (4) after the afternoon office card, the card punching records are not paired up until the afternoon end time of the shift, the afternoon office card is considered to be returned early, and the last valid card before the end time of the shift is taken as the afternoon office card.

1.4.5 Go out time length analysis logic (refer to FIG. 8)

1. Morning outgoing duration: judging that the cards are punched into pairs between the office cards in the morning and the office cards in the afternoon, if the sum of time intervals between each pair of punching is calculated in pairs and exceeds 2 hours, the morning outgoing time is considered to be overlong;

2. afternoon outing time: judging that the cards are paired between the afternoon office cards and the afternoon office cards, if the sum of time intervals between each pair of the cards is calculated in pairs and exceeds 2 hours, considering that the afternoon outing time is too long;

3. the length of going out all day: and judging that the sum of the morning outgoing time and the afternoon outgoing time exceeds two hours, and considering that the current outgoing time is too long.

(2) Personnel management: the system comprises the access, transfer, dispatch and departure management, organization management and authority management of various types of employees;

2.1 In-tune away management: the module is mainly responsible for the employee's job entry, job leaving, post adjustment and the like, and sets up default attendance rules according to the employee type.

2.2 Organization management: and synchronizing the organization data of the SAP to complete the construction of the organization tree.

2.3 Rights management: the module is used for setting the authority of an enterprise manager, and the authorities of HR (human resource) such as attendance rule setting, attendance data query and the like

(3) Attendance management: the module comprises sub-modules including attendance rule management, attendance data query, vacation management and attendance abnormity feedback management.

3.1 Attendance rule management: the method is used for diversified configuration of attendance checking rules, and can set rules of early and late arrival, overtime, maximum/minimum working time, maximum day of absence and the like.

3.2 Attendance data query: the method is used for inquiring original attendance card-punching records and attendance abnormal detail data of employees, managers and HR.

3.3 Vacation management: the system is used for the staff to inquire the balance of each type of vacation, the leave-asking system, the number of vacation days and the like.

3.4 Attendance exception feedback management: when the attendance checking system is used for checking attendance, the staff can feed back the abnormality, the feedback result is determined by the staff superior or manpower and is used as the final attendance checking result, and the attendance checking system is used for performance evaluation, wage distribution and the like.

(4) Scheduling management: the module comprises scheduling rule management, team setting, employee scheduling and working calendar setting.

4.1 Scheduling rules management: the module is used for setting different scheduling rules of employees with different work types, different types and different areas, and can carry out default distribution according to the attribute of the employee.

4.2 Group setting: the module can set attendance groups according to staff and organizations, one team can be associated with one scheduling rule, and staff in the team work attendance according to the rule.

4.3 Employee shift inquiry: the system is used for inquiring personal shift scheduling data of the staff or inquiring the shift scheduling condition of the staff in an organization by a superior level.

4.4 Working calendar settings: setting holidays of national legal festivals, company celebrations and the like.

(5) And (3) flow management: leave out management, overtime management and approval authority management.

5.1 Leave management: the system is used for processes of employee submission leave asking, going out, going on business and the like, and provides a leave function for withdrawing employee processes.

5.2 Overtime management: the system is used for the staff to submit overtime applications in advance and provide data bases for overtime meals, overtime fees and the like, and the overtime applications need to be approved by the superior.

5.3 Approval authority management: and setting the approval authority of processes such as leave asking and overtime work and the like of each level.

The technical scheme of the embodiment of the invention has the beneficial effects that:

(1) This scheme adopts the attendance machine that has face identification as attendance and entrance guard's equipment, and the record of accurate record staff business turn over office space avoids forgetting to take the card, forgetting to punch the card, replaces the scheduling problem of punching the card.

(2) The attendance abnormity analysis is based on the paired card punching rule, the effective working time of the staff can be accurately calculated, and the phenomena of abnormal off duty, overlong outgoing time and the like are avoided.

(3) According to the scheme, all the access records of all the employees in a day are recorded, the attendance data volume is remarkably increased, so that the attendance data are rapidly analyzed in a batch processing mode, and the attendance data analysis performance is greatly improved.

An embodiment of the present invention provides a processor configured to execute the method for attendance analysis according to the foregoing embodiment.

Fig. 9 is a block diagram schematically illustrating a structure of an apparatus for attendance analysis according to an embodiment of the present invention. As shown in fig. 9, an embodiment of the present invention provides an apparatus 900 for attendance analysis, which is applied to an entrance guard attendance system, and the apparatus 900 may include:

the record obtaining module 910 is configured to obtain an access control and attendance record of the user.

And the attendance analysis module 920 is used for analyzing the entrance guard attendance records according to the entrance guard attendance records, the preset time nodes and the number of the entrance guard attendance records so as to obtain the attendance analysis result of the user.

The device for attendance analysis, adopt entrance guard attendance system record user's attendance condition, can avoid the user to forget the work card or replace the phenomenon of checking the card, the truth of attendance data has been improved, through obtaining user's entrance guard attendance record, and according to entrance guard attendance record, predetermine time node and entrance guard attendance record's quantity and carry out the analysis to entrance guard attendance record, obtain user's attendance analysis result, with the number of times and the time and the attendance data couple of user discrepancy office place, the shortcoming that the applied scene that has overcome prior art existence is not enough refined, can accurate analysis user's attendance action, the degree of accuracy and the fineness of attendance data analysis result have been improved.

In an embodiment, the apparatus 900 for attendance analysis may further implement a combination of any one or more of the methods for attendance analysis according to the above embodiments.

The embodiment of the invention provides a machine-readable storage medium, wherein a program or an instruction is stored on the machine-readable storage medium, and when the program or the instruction is executed by a processor, the method for attendance analysis in the above embodiment is realized.

In summary, according to the technical scheme provided by the embodiment of the invention, the attendance machine with the face recognition is adopted, so that the entrance guard and the attendance are tightly combined, and the attendance card punching record of the employee is accurately recorded. The attendance card punching machine has the advantages that the attendance card punching machine is convenient for workers, and meanwhile, the situations of cheating of the attendance card punching of the workers and the like can be effectively prevented. A set of attendance analysis principle based on card punching pairwise is designed, and a data analysis framework of big data batch processing is adopted, so that the effective working time of the employee can be calculated quickly and accurately.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.

The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement or the like made within the spirit and principle of the present application shall be included in the scope of the claims of the present application.

Claims

1. A method for attendance analysis is applied to an entrance guard attendance system and comprises the following steps:

acquiring an entrance guard attendance record of a user;

and analyzing the entrance guard attendance records according to the entrance guard attendance records, the preset time nodes and the number of the entrance guard attendance records to obtain the attendance analysis result of the user.

2. The method of claim 1, wherein the predetermined time node comprises a first predetermined time node, wherein the first predetermined time node is a first shift time node; the basis the entrance guard's attendance record, predetermine the time node and the quantity of entrance guard's attendance record is right entrance guard's attendance record carries out the analysis, in order to obtain user's attendance analysis result, include:

judging whether an entrance guard attendance record exists in a first preset time period before the first preset time node;

determining a first number of entrance guard attendance records within the first preset time period under the condition that the entrance guard attendance records are determined to exist within the first preset time period;

judging whether the first number is an odd number;

and under the condition that the first number is determined to be an odd number, determining that the attendance analysis result corresponding to the first shift of the user is normal.

3. The method of claim 2, wherein the predetermined time nodes further comprise a second predetermined time node, wherein the second predetermined time node is a next time node of the first shift; the method further comprises the following steps:

judging whether entrance guard attendance records exist between the first preset time node and the second preset time node or not under the condition that the entrance guard attendance records do not exist in the first preset time period or the first number is not an odd number;

under the condition that an entrance guard attendance record exists between the first preset time node and the second preset time node, determining that an attendance analysis result corresponding to the first shift of the user is an on-duty card abnormality, wherein the on-duty card abnormality comprises late arrival.

4. The method of claim 3, wherein the preset time nodes further comprise a third preset time node, wherein the third preset time node is a next time node of a second shift, the second shift being after the first shift; the method further comprises the following steps:

determining a second number of access control attendance records between the second preset time node and the third preset time node under the condition that it is determined that no access control attendance records exist between the first preset time node and the second preset time node;

judging whether the second number is an odd number;

and under the condition that the second number is determined to be an odd number, determining that the attendance analysis result corresponding to the first shift of the user is no attendance card record.

5. The method of claim 4, further comprising:

and under the condition that the second number is not determined to be an odd number, determining that the attendance analysis result corresponding to the first shift of the user is that the user misses the attendance card.

6. The method of claim 3, further comprising:

determining a working card time point corresponding to the first shift of the user;

judging whether an entrance guard attendance record exists between the time point of the office card and the second preset time node;

determining a third number of access control attendance records between the time point of the office card and the second preset time node under the condition that the access control attendance records exist between the time point of the office card and the second preset time node;

under the condition that the third number is determined to be an odd number, determining that an attendance analysis result corresponding to the user in the first shift is abnormal, wherein the abnormal attendance analysis result comprises early exit;

and under the condition that no entrance guard attendance record exists between the time point of the on-duty card and the second preset time node or the third number is not an odd number, determining that the attendance analysis result of the user corresponding to the first shift is normal.

7. The method of claim 4, wherein the preset time nodes further comprise a fourth preset time node, wherein the fourth preset time node is the working time node of the second shift; the method further comprises the following steps:

determining a fourth number of entrance guard attendance records between the second preset time node and a fourth preset time node under the condition that the attendance analysis result corresponding to the first shift of the user is determined to be that the office card is normal or the office card is abnormal;

judging whether the fourth number is an odd number;

and under the condition that the fourth number is not determined to be an odd number, determining that the attendance analysis result corresponding to the user in the second class is normal.

8. The method of claim 7, further comprising:

under the condition that the fourth number is determined to be an odd number, judging whether an entrance guard attendance record exists between the fourth preset time node and the third preset time node;

and under the condition that an entrance guard attendance record exists between the fourth preset time node and the third preset time node, determining that an attendance analysis result corresponding to the user in the second class is abnormal.

9. The method of claim 8, further comprising:

and under the condition that the entrance guard attendance record does not exist between the fourth preset time node and the third preset time node, determining that the attendance analysis result corresponding to the user in the second shift is no attendance card record.

10. The method of claim 7, further comprising:

judging whether an entrance guard attendance record exists between the second preset time node and the third preset time node or not under the condition that the attendance analysis result corresponding to the first shift of the user is abnormal during off-duty card or no on-duty card record;

and under the condition that the entrance guard attendance record does not exist between the second preset time node and the third preset time node, determining that the attendance analysis result corresponding to the user in the second shift is no attendance card record.

11. The method of claim 10, further comprising:

under the condition that an entrance guard attendance record exists between the second preset time node and the third preset time node, judging whether the fourth number is an odd number;

and under the condition that the fourth number is determined to be an odd number, determining that the attendance analysis result corresponding to the user in the second class is normal.

12. The method of claim 11, further comprising:

under the condition that the fourth number is not an odd number, judging whether an entrance guard attendance record exists between the fourth preset time node and the third preset time node;

under the condition that an access control attendance record exists between the fourth preset time node and the third preset time node, determining that an attendance analysis result corresponding to the user in the second shift is abnormal;

13. The method of claim 7, further comprising:

determining the time point of the working card corresponding to the user in the second class;

determining a fifth number of access control attendance records between the attendance card time point and the third preset time node;

judging whether the fifth number is an odd number;

and under the condition that the fifth number is determined to be an odd number, determining that the attendance analysis result corresponding to the user in the second class is abnormal.

14. The method of claim 13, further comprising:

determining a sixth number of entrance guard attendance records within a second preset time period after the third preset time node under the condition that the fifth number is determined not to be an odd number;

judging whether the sixth quantity is zero or not;

under the condition that the sixth quantity is not zero, determining that the attendance analysis result corresponding to the user in the second class is normal;

and under the condition that the sixth quantity is determined to be zero, determining that the attendance analysis result corresponding to the user in the second shift is the missed attendance card.

15. The method of claim 1, further comprising:

and determining the effective working time of the user according to the attendance analysis result.

16. The method of claim 15, wherein determining the effective work time of the user according to the attendance analysis result comprises:

determining the time point of the user on the working card corresponding to a preset shift and the time point of the user off the working card corresponding to the preset shift;

determining that paired entrance guard attendance records with approximate time exist in the entrance guard attendance records corresponding to the preset shift except the entrance guard attendance records corresponding to the on-duty card time point and the entrance guard attendance records corresponding to the off-duty card time point;

determining the outgoing time length of the user corresponding to the preset shift according to the time points corresponding to the access control attendance records with the approximate time and the paired access control attendance records;

and determining the effective working time corresponding to the preset shift of the user according to the on-duty card time point, the off-duty card time point and the outgoing time.

17. A processor configured to perform the method for attendance analysis according to any one of claims 1 to 16.

18. The utility model provides a device for attendance analysis, its characterized in that is applied to entrance guard's attendance system, includes:

and the attendance analysis module is used for analyzing the entrance guard attendance records according to the entrance guard attendance records, the preset time nodes and the number of the entrance guard attendance records so as to obtain the attendance analysis result of the user.

19. A machine-readable storage medium, on which a program or instructions are stored, which when executed by a processor implement the method for attendance analysis according to any of claims 1 to 16.