CN109242418A - Method, apparatus, computer equipment and the storage medium of work attendance statistics - Google Patents
Method, apparatus, computer equipment and the storage medium of work attendance statistics Download PDFInfo
- Publication number
- CN109242418A CN109242418A CN201810951751.XA CN201810951751A CN109242418A CN 109242418 A CN109242418 A CN 109242418A CN 201810951751 A CN201810951751 A CN 201810951751A CN 109242418 A CN109242418 A CN 109242418A
- Authority
- CN
- China
- Prior art keywords
- attendance
- data
- department
- work
- employee
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/1091—Recording time for administrative or management purposes
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Data Mining & Analysis (AREA)
- Economics (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Time Recorders, Dirve Recorders, Access Control (AREA)
Abstract
The invention discloses a kind of methods of work attendance statistics, for based on big data technical field of information processing, comprising: receive work attendance statistics request, work attendance statistics request carries department's information；According to the corresponding staff attendance table of department's acquisition of information, staff attendance table includes the attendance data of each employee in the corresponding department of department's information；The attendance rule that there are mapping relations with department's information is extracted in preset attendance data library according to department's information；According to the synthesis attendance data within a preset period of time of each employee in the attendance rule-statistical department of department.The present invention can be counted according to different departments come the overtime work situation to employee, the job specification and workload of different departments are different, pass through the attendance rule different to different Department formations, then can programming count difference department employee overtime work situation, without manually counting the attendance situation of different departmental staffs, the time of work attendance statistics is saved, saves human cost, while also making system of attendance more flexible.
Description
Technical field
The present invention relates to software systems technical fields, specifically, the present invention relates to one kind to be based on big data information analysis
Work attendance statistics method, apparatus, computer equipment and storage medium.
Background technique
With the increasingly quickening of Working Life rhythm, thing to be treated is more and more daily by people, especially in work
In work, for some urgent things, within the working time of normal 8 hours, it is difficult these urgent things at hand
Feelings processing is completed, and usually requires to work overtime.According to national regulation, employee's overtime work is for centainly according to the overtime work in different periods
The overtime cost of ratio, therefore it is necessary to count the overtime of employee.
In the prior art, attendance is carried out by attendance recorder, but attendance recorder not smart enoughization generally can only from attendance recorder
Be arranged overtime since when, attendance recorder automatically by the time after the time to come off duty check card between the time sometimes
Between be all calculated as overtime, but in fact, in the actual operation of company, employee's work hours of different project team with
And the rule of overtime work can different, than if any agencies dictate overtime work is just calculated after 7 points, and the intermediate outgoing time is more than centainly
Time do not count overtime, different department may the work hours it is different etc., in the case of these, it is necessary to more attendances
Machine, or rear service personnel is needed to count manually to the overtime of employee, the work of rear service personnel is considerably increased in this way
Amount, and the data for counting overtime work are troublesome somethings, manually count error-prone, cause unjust phenomenon.
Summary of the invention
The purpose of the present invention is intended at least can solve above-mentioned one of technological deficiency, especially a kind of to be based on big data information
Analyze the method that can be provided according to the personal information and behavioral rudiment of user information and welfare.
The invention discloses a kind of methods of work attendance statistics, comprising:
Work attendance statistics request is received, the work attendance statistics request carries department's information；
According to the corresponding staff attendance table of department's acquisition of information, the staff attendance table includes department's information pair
The attendance data of each employee in the department answered；
Being extracted in preset attendance data library according to department's information has mapping relations with department's information
Attendance rule；
It is turned out for work according to the synthesis within a preset period of time of each employee in department described in the attendance rule-statistical of the department
Data.
Further, the attendance information obtained in staff attendance table includes:
It obtains with the api interface of the multiple attendance checking systems docked to obtain multiple attendance checking system mapped attendance datas,
The carrier of the attendance data is text, chart or picture；
It identifies the attendance data of the multiple attendance checking system and is sorted out；
The staff attendance table is generated according to the attendance data of classification.
Further, the identification attendance data and method sorted out includes:
The data in the attendance data with the keyword match are extracted according to preset keyword, are wrapped in the keyword
Employee number is included, includes employee number in the attendance data；
According to employee number by attendance data corresponding to the employee number as unit of day according to the distribution at time point into
Row collects.
Further, the attendance rule further include: different departments map different attendance rules.
It further, further include comprehensive attendance data abnormity prompt, the method packet of the comprehensive attendance data abnormity prompt
It includes:
It will comprehensive attendance data and the comparison of preset attendance exception rules；
When comprehensive attendance data meets preset attendance exception rules, by preset abnormity prompt mode to exception
Comprehensive attendance data is reminded, the preset abnormity prompt mode include in comprehensive attendance data abnormal data or
Employee number corresponding to abnormal data is marked.
It further, include overtime work duration in the comprehensive attendance data, the statistical method of the overtime work duration includes:
The comprehensive attendance data of employee number mapped for meeting overtime work condition is obtained, and is mentioned from the synthesis attendance data
Take all records of checking card in preset effective overtime section；
The time interval between adjacent record of checking card twice is successively counted according to the record of checking card；
When the time interval is greater than preset time value, the time interval is not counted in overtime work duration.
Further, the comprehensive attendance data further includes table, the line illustration, column generated by specified attendance data
Shape figure and/or cake chart.
Invention additionally discloses a kind of devices of work attendance statistics, comprising:
Receiving module: for receiving work attendance statistics request, the work attendance statistics request carries department's information；
Obtain module: for according to the corresponding staff attendance table of department's acquisition of information, the staff attendance table to include
The attendance data of each employee in the corresponding department of department's information；
Processing module: have for being extracted in preset attendance data library according to department's information with department's information
There is the attendance rule of mapping relations；
Execution module: in department described in the attendance rule-statistical according to the department each employee in preset time period
Interior synthesis attendance data.
Further, further includes:
First acquisition submodule: for obtaining with the api interface of the multiple attendance checking systems docked to obtain multiple attendance systems
System mapped attendance data, the carrier of the attendance data are text, chart or picture；
First processing submodule: the attendance data of the multiple attendance checking system and sorted out for identification；
First generates submodule: for generating the staff attendance table according to the attendance data of classification.
Further, further includes:
Second acquisition submodule: for according to preset keyword extract in the attendance data with the keyword match
Data include employee number in the keyword, include employee number in the attendance data；
Second processing submodule: for according to employee number by attendance data corresponding to the employee number as unit of day
It is collected according to the distribution at time point.
Further, the attendance rule further include: different departments map different attendance rules.
Further, further includes:
First comparison submodule: it is compared for attendance data and preset attendance exception rules will to be integrated；
First prompting submodule: for when comprehensive attendance data meets preset attendance exception rules, by preset
Abnormity prompt mode reminds abnormal synthesis attendance data, and the preset abnormity prompt mode includes turning out for work to synthesis
Employee number corresponding to abnormal data or abnormal data in data is marked.
It further, include overtime work duration in the comprehensive attendance data, further includes:
Third acquisition submodule: for obtaining the comprehensive attendance data of employee number mapped for meeting overtime work condition, and
From all records of checking card extracted in the synthesis attendance data in preset effective overtime section；
Third handles submodule: successively counting the time between adjacent record of checking card twice for record of checking card according to
Interval；
First statistic submodule: for when the time interval is greater than preset time value, the time interval not to be counted
In overtime work duration.
Further, the comprehensive attendance data further includes table, the line illustration, column generated by specified attendance data
Shape figure and/or cake chart.
Invention additionally discloses a kind of computer equipment, including memory and processor, calculating is stored in the memory
Machine readable instruction, when the computer-readable instruction is executed by the processor, so that the processor is executed as any of the above-described
The step of method of work attendance statistics described in.
Invention additionally discloses a kind of storage mediums for being stored with computer-readable instruction, and the computer-readable instruction is by one
When a or multiple processors execute, so that the method that one or more processors execute work attendance statistics as described in any one of the above embodiments
The step of.
The beneficial effects of the present invention are: 1) method of work attendance statistics disclosed by the invention can be according to different departments come to member
The overtime work situation of work is counted, and the job specification and workload of different departments are different, by different Department formations not
With attendance rule, then can programming count difference department employee overtime work situation, without manually counting examining for different departmental staffs
Diligent situation saves the time of work attendance statistics, saves human cost, while also making system of attendance more flexible；
2) it can be associated with multiple and different attendance checking systems simultaneously, obtain the related data in different attendance checking systems automatically, and to phase
Associated data carry out collecting statistics, and automatically generate overtime work data statistics table, without obtain manually multiple Work attendance devices or
Data in person's attendance checking system, are manually compared and count, and human cost is greatly saved, and improve work attendance statistics personnel's
Working efficiency；
3) attendance situation can also be analyzed automatically, for example generates attendance chart, more intuitively read the attendance of employee
Information may further carry out abnormal prompt of checking card；
4) attendance data of chart and picture format can also be identified and is extracted, and for statistical analysis, can recognize data
Mode it is more diversified.
The additional aspect of the present invention and advantage will be set forth in part in the description, these will become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments
Obviously and it is readily appreciated that, in which:
Fig. 1 is the method flow diagram of work attendance statistics of the present invention；
Fig. 2 is the acquisition methods method flow diagram that the present invention obtains staff attendance table；
Fig. 3 is the method flow diagram that the present invention sorts out attendance data；
Fig. 4 is the flow chart for the method that the present invention states comprehensive attendance data abnormity prompt；
Fig. 5 is the flow chart of the statistical method of overtime work duration of the present invention；
Fig. 6 is the apparatus module schematic diagram of work attendance statistics of the present invention；
Fig. 7 is computer equipment basic structure block diagram of the present invention.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, and for explaining only the invention, and is not construed as limiting the claims.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singular " one " used herein, " one
It is a ", " described " and "the" may also comprise plural form.It is to be further understood that being arranged used in specification of the invention
Diction " comprising " refer to that there are the feature, integer, step, operation, element and/or component, but it is not excluded that in the presence of or addition
Other one or more features, integer, step, operation, element, component and/or their group.It should be understood that when we claim member
Part is " connected " or when " coupled " to another element, it can be directly connected or coupled to other elements, or there may also be
Intermediary element.In addition, " connection " used herein or " coupling " may include being wirelessly connected or wirelessly coupling.It is used herein to arrange
Diction "and/or" includes one or more associated wholes for listing item or any cell and all combinations.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art
Language and scientific term), there is meaning identical with the general understanding of those of ordinary skill in fields of the present invention.Should also
Understand, those terms such as defined in the general dictionary, it should be understood that have in the context of the prior art
The consistent meaning of meaning, and unless idealization or meaning too formal otherwise will not be used by specific definitions as here
To explain.
Those skilled in the art of the present technique are appreciated that " terminal " used herein above, " terminal device " both include wireless communication
The equipment of number receiver, only has the equipment of the wireless signal receiver of non-emissive ability, and including receiving and emitting hardware
Equipment, have on bidirectional communication link, can execute two-way communication reception and emit hardware equipment.This equipment
It may include: honeycomb or other communication equipments, shown with single line display or multi-line display or without multi-line
The honeycomb of device or other communication equipments；PCS (Personal Communications Service, PCS Personal Communications System), can
With combine voice, data processing, fax and/or communication ability；PDA (Personal Digital Assistant, it is personal
Digital assistants), it may include radio frequency receiver, pager, the Internet/intranet access, web browser, notepad, day
It goes through and/or GPS (Global Positioning System, global positioning system) receiver；Conventional laptop and/or palm
Type computer or other equipment, have and/or the conventional laptop including radio frequency receiver and/or palmtop computer or its
His equipment." terminal " used herein above, " terminal device " can be it is portable, can transport, be mounted on the vehicles (aviation,
Sea-freight and/or land) in, or be suitable for and/or be configured in local runtime, and/or with distribution form, operate in the earth
And/or any other position operation in space." terminal " used herein above, " terminal device " can also be communication terminal, on
Network termination, music/video playback terminal, such as can be PDA, MID (MobileInternet Device, mobile Internet are set
It is standby) and/or mobile phone with music/video playing function, it is also possible to the equipment such as smart television, set-top box.
In order to allow any people can device of the remote control for traveling, and execute shooting function, realize real time inspection
The purpose of the image of shooting, the present invention provide a kind of method of work attendance statistics, wherein are remotely seeing answering for room when this method uses
When in scene, the methods of the work attendance statistics includes at least two terminals, and one is remote terminal, for user to image and
What state of a control was checked, and the remote terminal of control instruction is sent, which can be computer, notebook, hand
Machine perhaps other terminals and the unmanned machine can be robot or unmanned plane, the unmanned equipment such as telecar.And
Another is then the unmanned machine for being controlled to be moved and be able to carry out related shooting action.Therebetween long-range logical
News, unmanned machine analyzes and determines the dependent instruction of transmission according to the motion state of itself, execute or forbid this first
Status command sees room to achieve the purpose that remotely to control, while unmanned machine has automatic obstacle avoidance functions, intelligence degree
Height, and control mode is simple.
Below to a kind of method of work attendance statistics provided by the present application, referring to Fig. 1, the method for the present embodiment includes following
Step:
S100, work attendance statistics request is received, the work attendance statistics request carries department's information；
Work attendance statistics request at least needs to carry department's letter to obtain the work attendance statistics information of the employee in specific office
Breath, in order to targetedly obtain relevant attendance data.But be not limited to only carry department's information in the application, may be used also
To include name, employee number etc. information.
S200, according to the corresponding staff attendance table of department's acquisition of information, the staff attendance table includes the department
The attendance data of each employee in the corresponding department of information；
By department's information, then the staff attendance table about department's information can be obtained, usually wrapped in staff attendance table
Include employee name, employee number and the attendance data in corresponding specified time.Staff attendance table derives from attendance checking system, such as
Derived staff attendance table in attendance recorder.It is existing at present by the method that staff attendance table derived from attendance recorder obtains attendance information
There is method the most universal in technology, when being especially suitable for that a small number of Time Attendance Devices are only installed in company.
But it is relatively more for personnel, multiple attendance recorders, existing skill may be arranged in the bigger company of office space
In art, according to department, perhaps independent Attendance Sheet in the office where department or branch company is installed by branch company for many companies,
Attendance, work attendance statistics intricate operation, work attendance statistics efficiency are carried out by employee of the special personnel to the department or branch company
It is low.Also, the place bigger for place, employee must check card set by the affiliated function or branch company complete in equipment
At working or come off duty check card, otherwise can not normal statistics attendance situation.When job site is possibility when entire garden
Multiple doors entered and left are provided with, staff attendance is checked card, and can only be returned to affiliated office and be checked card, or work as same company
There are multiple offices, employee needs often when different offices are handled official business, to completely check card, it is necessary to return to
Have attendance data register place check card, otherwise can only absence check card, be to be both provided in different offices in time
The register information of checking card of the employee, when needing to count, the information of checking card in equipment that needs to check card difference is manually carried out
Summarize, counts trouble.
For above-mentioned the case where being provided with multiple Work attendance devices, the application discloses a kind of convenient and fast work attendance statistics method,
The attendance data in multiple Time Attendance Devices or attendance checking system can be obtained simultaneously, while all attendance datas are sorted out
Summarize, obtains complete attendance information automatically.
Fig. 2 is please referred to, the attendance information obtained in staff attendance table includes:
S110, acquisition obtain multiple attendance checking system mapped attendances with the api interface of the multiple attendance checking systems docked
Data, the carrier of the attendance data are text, chart or picture；
It should be noted that the attendance data for obtaining in multiple attendance checking systems can be by manually uploading from Time Attendance Device or
Derived table, icon or picture in person's attendance checking system.It is also possible to connect by this system from the API of different attendance checking systems
Mouth is attached, and timing obtains or manually control automatically the data obtained in the attendance checking system.
One of innovation is in the application, and the carrier of the attendance data can be text, chart or figure
Piece.
For obtaining attendance data from text and chart, a kind of common technology is to pass through keyword extraction.Due to being
Attendance information, thus must be had in related content characterization worker's information employee number, and with the employee number phase
Matched attendance information, therefore by using employee number as keyword, then can extract the attendance data of employee.The employee compiles
Number formulation usually have specific rule, for example be analogous to the numeric string of " 0001 ", or be similar to " HR001 " in this way,
The character string for adding digital number by department or company's numbering, when attendance data is from chart, employee number is logical
Often in the list corresponding to the keyword of " ID number ", " number " " employee number " etc.It need to only be ordered according in each attendance checking system
The rule of name determines the keyword for the content to be obtained, then can obtain related data automatically, when acquiring employee number, with
The employee number mapped attendance data then can be crawled out together.
Further, for the method that attendance data is by acquiring in picture, a kind of relatively conventional mode is
Image content is read out and is identified by OCR identification technology.Specific acquisition modes are as follows:
1) text filed in detection and extraction picture, picture generally comprises blank or area of the pattern, further includes recording
There is the character area of attendance data, therefore the first step extracts character area, in order to subsequent Text region；
2) text correction is carried out using the methods of radon transformation or hough transformation；Wherein, hough transformation is by image sky
Between in curve transform in parameter space, by the extreme point in detection parameters space, determine the characterising parameter of the curve,
To extract the regular curve in image.Radon transformation is to calculate the change of projection of the image in certain certain angle directions of rays
Change method.The application can also carry out text correction using other mapping modes, and since it is the prior art, this place is no longer done
It excessively emphasizes, picture can be rotated by above-mentioned transformation, picture rotation extremely can normally be identified into the western content of text
Direction；
3) picture of the text of uniline is partitioned by projection histogram；When text information is more in picture, usually
Multirow is had, by the method, the approximate region of text can be split extraction；
4) separating character obtains single text；When the approximate region for obtaining text, then can to each literary glyph into
Row extracts one by one, obtains each individual text；
5) the identification meaning of one's words then can determine the text concrete meaning, due to single text after having identified literary glyph
Do not have specific meaning, therefore need to combine with the text of front and back, to obtain specific meaning.
According to above-mentioned mode, word content can be extracted from the picture for importing or obtaining, according to above-mentioned key
Word extracting mode can extract the attendance data of needs from the picture.
In attendance data, after obtaining employee number, then it is corresponding that the employee number can be matched by employee number
Department department's information with employee number phase mapping can also be got by the technology of above-mentioned keyword recognition certainly.
S120, the attendance data for identifying the multiple attendance checking system are simultaneously sorted out；
According to the content in above-mentioned steps S110, after being identified to the attendance data in different attendance checking systems,
Since these attendance datas are from different attendance checking systems, for some data, there may be repetitions, such as when in multiple attendances
After registering employee information in system, the same employee number possibly is present in different attendance checking systems, above-mentioned steps S110
Only employee number and its number mapped content are extracted, therefore there may be same employee numbers to have multiple attendances
The case where data, therefore need to sort out attendance data.Referring to Fig. 3, the mode sorted out includes:
S121 extracts the data in the attendance data with the keyword match, the keyword according to preset keyword
In include employee number, include employee number in the attendance data；
By the data in attendance data described in preset keyword extraction with the keyword match, for example, will preset
Keyword be arranged to employee number, then all employee numbers in attendance data can be searched and be obtained.
S122, according to employee number by attendance data corresponding to the employee number as unit of day according to time point point
Cloth is collected.
Data merging is carried out to same employee number, combined mode can be carried out by way of information comparison, such as
All employee numbers are extracted, are identified whether by identical employee number, when there is identical employee number, then to from difference
Attendance checking system in employee number mapped content merge, since different employees has individual number, therefore adopt
All attendance datas of the corresponding employee number can be obtained from different attendance checking systems in this way.
Following table is all attendance datas of the employee on June 26th, 2018 that employee number is 0001, in first attendance
Following attendance information is obtained in system:
Following attendance information is obtained in second attendance checking system:
After having obtained all attendance datas, then according to employee number by attendance data corresponding to the employee number with
It is collected for unit according to the distribution at time point, for example in above-mentioned example, the data after collecting are as follows:
S130, the staff attendance table is generated according to the attendance data of classification.
After obtaining attendance data corresponding to the same employee number in above-mentioned steps S120, then by all employees
Attendance data arranged according to specific format, obtain the staff attendance table for recording the attendance data of all employees.
S300, it is extracted to have to map with department's information in preset attendance data library according to department's information and be closed
The attendance rule of system；
It, then can be according to described due to obtaining employee number and affiliated department in above-mentioned steps S100 and its sub-step
Department extracts the attendance rule for mapping the department.The attendance rule includes but is not limited to: different department's mappings are different
Attendance rule and/or same department's difference position map different attendances rules.
In the prior art, the attendance rule in attendance checking system or Time Attendance Device is all same, and the difference of the application
It is in multiple attendances rule being arranged, which, which can be, is configured by department for unit, such as occurrences in human life
Department's work hours are 8:30, quitting time 17:30, otherwise calculate late and leave early, and do not count overtime, engineering department
Work hours be 8:30-9:00, quitting time 17:30-18:00, after the work hours of corresponding 8 hours, calculate plus
Class's time.
In another embodiment, attendance rule can also be with different employee numbers or the corresponding position of the employee into
It goes and is arranged, for example handle the employee of the above rank counts without overtime work, and the employee for getting yearly salary system counts without overtime work etc.
Deng.
S400, according to the synthesis attendance data of the employee in the attendance rule-statistical of the department department.
Comprehensive attendance data includes employee number, name, department, position and the note of checking card arranged according to date and time point
Record.Above data is usually data the most basic, and further, the comprehensive attendance data further includes by specified attendance
Table, line illustration, histogram and/or the cake chart that data generate.These additional data be by comprehensive attendance data and
What selected specified attendance data automatically generated, the mode of generation is the prior art, such as common Microsoft Excel, is passed through
Specific data are chosen, that is, produce corresponding chart.Such function is set in the application, is conducive to more intuitively to employee
Attendance data checked, more rapidly data are analyzed and are understood.
Further, referring to Fig. 4, according to above-mentioned comprehensive attendance data, can be turned out for work number with abnormity prompt, the synthesis
Include: according to the method for abnormity prompt
S410, comprehensive attendance data is compared with preset attendance exception rules；
Preset attendance exception rules are another attendance rule of according to employee workload situation setting, for example provide
The overtime work duration of employee every month must not exceed 36 hours, and number of comining to work late and leave early must not exceed 10 times, if being more than 36 small
When can indicate that the working efficiency of the employee is too low, with this come remind the employee improve working efficiency；Or a certain employee's this month
Number of comining to work late and leave early is more than 10 times, then there are problems for the working attitude of the employee.
In the application, according to preset attendance exception rules, the related content in comprehensive attendance data is compared, than
The overtime work duration in employee's this month, progress when working overtime by the overtime work duration and preset highest are such as obtained by comprehensive attendance data
Row comparison.
S420, when comprehensive attendance data meets preset attendance exception rules, pass through preset abnormity prompt mode pair
Abnormal synthesis attendance data is reminded, and the preset abnormity prompt mode includes to the abnormal number in comprehensive attendance data
According to or abnormal data corresponding to employee number be marked.
Such as the overtime work duration of above-mentioned employee has been more than preset highest overtime work duration, then the data to the overtime work duration or
The corresponding employee number of person's data highlights.But above-mentioned abnormity prompt mode is not limited to above-mentioned protrusion and shows
Show, can also be the mode that other any one can be quickly read from data.For example extract attendance exception mapped person
Work number and all abnormal datas, generate attendance exception table, in order to all attendances of work attendance statistics personnel's quick obtaining
Abnormal staff attendance data, improve the working efficiency of work attendance statistics personnel.
Further, referring to Fig. 5, further including overtime work duration in the comprehensive attendance data, the system of the overtime work duration
Meter method includes:
S510, acquisition meet the comprehensive attendance data of employee number mapped of overtime work condition, and turn out for work number from the synthesis
According to the middle all records of checking card extracted in preset effective overtime section；
The employee number for meeting overtime work condition refers to the employee that can calculate overtime, for example mentions in description above
, when there is according to department the situation for setting attendance rule in statistical rules, the employee of some departments or certain employees are not
Suitable for overtime work rule, then referred to as ineligible employee, the employee for only setting the statistics that can carry out working overtime are corresponding
The comprehensive attendance data of employee number mapped in checking card record just carry out overtime work statistics.
Effective overtime section refers to the period for being included into overtime, for example the normal quitting time is 18:
00, then from being effective overtime between 18:00-24:00, remaining time, which is not counted in, works overtime in statistics section, such as in 6:00-
8:00, although not in normal work between in section, check card and be not counted in overtime section in this section.When
So, this effective overtime section is can be configured according to the real work amount situation of department.System is in statistical data
Before, relevant parameter is configured.
S520, record of checking card according to successively count the time interval between adjacent record of checking card twice；
S530, when the time interval be greater than preset time value when, the time interval do not count overtime work duration in.
In the prior art, statistics overtime work duration, whether system is usually also to check card after judging automatically quitting time point
Record, when also check card record when, count from quitting time point to the same day last time check card between duration, directly by this when
It is long to count in overtime work duration.
But the very mechanization of this mode, employee may can dine out after quitting time point, if according to the prior art
Method, the time that also this can be had a meal counts in overtime work duration, but for stricti jurise, this time can not be counted
Within overtime, so needing a kind of statistical, this partial time period can be identified, and reject.
In a kind of embodiment, attendance checking system and access control system can be combined together, employee enters and leaves, it is necessary to it swipes the card, with
This checks card.In such an application scenario, available employee go out, fashionable record of checking card, due to employee one out one into
Record of checking card twice is adjacent, therefore can obtain a time interval by adjacent record of checking card twice.It checks card to employee is outgoing
One standard value is set to the time interval checked card is entered next time, is more than the standard value, then by the period corresponding duration
It rejects in the statistics of overtime work duration, effectively overtime work duration is counted with this.
Further, according to the overtime work duration of the employee in the attendance rule-statistical of the department department, user may be used also
With customized other attendance rules according to demand, for example as unit of day, judge whether the overtime work duration on the same day is greater than or waits
In minimum overtime work duration；It is a length of effective when marking the overtime work when the overtime work duration is greater than or equal to minimum overtime work duration
Overtime work duration.
In this application, comprehensive attendance data further includes table, the line illustration, column generated by specified attendance data
Figure and/or cake chart, after obtaining the data such as comprehensive attendance data and overtime work duration through the above steps, system can basis
These data generate corresponding icon, in order to more intuitively understand the variation tendency of data.
Invention additionally discloses a kind of devices of work attendance statistics, referring to Fig. 6, including:
Receiving module 100: for receiving work attendance statistics request, the work attendance statistics request carries department's information；
Work attendance statistics request at least needs to carry department's letter to obtain the work attendance statistics information of the employee in specific office
Breath, in order to targetedly obtain relevant attendance data.But be not limited to only carry department's information in the application, may be used also
To include name, employee number etc. information.
Obtain module 200: for according to the corresponding staff attendance table of department's acquisition of information, the staff attendance table packet
Include the attendance data of each employee in the corresponding department of department's information；；
By department's information, then the staff attendance table about department's information can be obtained, usually wrapped in staff attendance table
Include employee name, employee number and the attendance data in corresponding specified time.Staff attendance table derives from attendance checking system, such as
Derived staff attendance table in attendance recorder.It is existing at present by the method that staff attendance table derived from attendance recorder obtains attendance information
There is method the most universal in technology, when being especially suitable for that a small number of Time Attendance Devices are only installed in company.
But it is relatively more for personnel, multiple attendance recorders, existing skill may be arranged in the bigger company of office space
In art, according to department, perhaps independent Attendance Sheet in the office where department or branch company is installed by branch company for many companies,
Attendance, work attendance statistics intricate operation, work attendance statistics efficiency are carried out by employee of the special personnel to the department or branch company
It is low.Also, the place bigger for place, employee must check card set by the affiliated function or branch company complete in equipment
At working or come off duty check card, otherwise can not normal statistics attendance situation.When job site is possibility when entire garden
Multiple doors entered and left are provided with, staff attendance is checked card, and can only be returned to affiliated office and be checked card, or work as same company
There are multiple offices, employee needs often when different offices are handled official business, to completely check card, it is necessary to return to
Have attendance data register place check card, otherwise can only absence check card, be to be both provided in different offices in time
The register information of checking card of the employee, when needing to count, the information of checking card in equipment that needs to check card difference is manually carried out
Summarize, counts trouble.
For above-mentioned the case where being provided with multiple Work attendance devices, the application discloses a kind of convenient and fast work attendance statistics method,
The attendance data in multiple Time Attendance Devices or attendance checking system can be obtained simultaneously, while all attendance datas are sorted out
Summarize, obtains complete attendance information automatically.
Wherein, the relevant apparatus of the attendance information in acquisition staff attendance table includes:
First acquisition submodule: for obtaining with the api interface of the multiple attendance checking systems docked to obtain multiple attendance systems
System mapped attendance data, the carrier of the attendance data are text, chart or picture；
Obtaining the attendance data in multiple attendance checking systems can be by manually uploading from Time Attendance Device or attendance checking system
In derived table, icon or picture.It is also possible to be connected by this system from the api interface of different attendance checking systems
It connects, timing obtains or manually control automatically the data obtained in the attendance checking system.
One of innovation is in the application, and the carrier of the attendance data can be text, chart or figure
Piece.
For obtaining attendance data from text and chart, a kind of common technology is to pass through keyword extraction.Due to being
Attendance information, thus must be had in related content characterization worker's information employee number, and with the employee number phase
Matched attendance information, therefore by using employee number as keyword, then can extract the attendance data of employee.The employee compiles
Number formulation usually have specific rule, for example be analogous to the numeric string of " 0001 ", or be similar to " HR001 " in this way,
The character string for adding digital number by department or company's numbering, when attendance data is from chart, employee number is logical
Often in the list corresponding to the keyword of " ID number ", " number " " employee number " etc.It need to only be ordered according in each attendance checking system
The rule of name determines the keyword for the content to be obtained, then can obtain related data automatically, when acquiring employee number, with
The employee number mapped attendance data then can be crawled out together.
Further, for the method that attendance data is by acquiring in picture, a kind of relatively conventional mode is
Image content is read out and is identified by OCR identification technology.The method of specific OCR identification image content is with reference to hereinbefore
Acquisition methods, details are not described herein again.
In attendance data, after obtaining employee number, then it is corresponding that the employee number can be matched by employee number
Department department's information with employee number phase mapping can also be got by the technology of above-mentioned keyword recognition certainly.
First processing submodule: the attendance data of the multiple attendance checking system and sorted out for identification；
According in above content, after being identified to the attendance data in different attendance checking systems, since these are examined
Diligent data are from different attendance checking systems, and for some data, there may be repetitions, for example register when in multiple attendance checking systems
After employee information, the same employee number possibly is present in different attendance checking systems, and above-mentioned steps S110 is only to employee
Number and its number mapped content extract, therefore there may be the feelings that same employee number has multiple attendance datas
Condition, therefore need to sort out attendance data.
Specifically, it is that corresponding device includes: that attendance data, which sort out,
Second acquisition submodule: for according to preset keyword extract in the attendance data with the keyword match
Data include employee number in the keyword, include employee number in the attendance data；
By the data in attendance data described in preset keyword extraction with the keyword match, for example, will preset
Keyword be arranged to employee number, then all employee numbers in attendance data can be searched and be obtained.
Second processing submodule: for according to employee number by attendance data corresponding to the employee number as unit of day
It is collected according to the distribution at time point.
Data merging is carried out to same employee number, combined mode can be carried out by way of information comparison, such as
All employee numbers are extracted, are identified whether by identical employee number, when there is identical employee number, then to from difference
Attendance checking system in employee number mapped content merge, since different employees has individual number, therefore adopt
All attendance datas of the corresponding employee number can be obtained from different attendance checking systems in this way.
First generates submodule: for generating the staff attendance table according to the attendance data of classification.
After obtaining attendance data corresponding to the same employee number in above-mentioned steps, then examining all employees
Diligent data are arranged according to specific format, obtain the staff attendance table for recording the attendance data of all employees.
Processing module 300: believe for being extracted in preset attendance data library according to department's information with the department
Cease the attendance rule with mapping relations；
It, then can be according to the department due to obtaining employee number and affiliated department in above-mentioned steps and its sub-step
Extract the attendance rule for mapping the department.The attendance rule includes but is not limited to: different departments map different examine
Diligent rule and/or same department's difference position map different attendance rules.
In the prior art, the attendance rule in attendance checking system or Time Attendance Device is all same, and the difference of the application
It is in multiple attendances rule being arranged, which, which can be, is configured by department for unit, such as occurrences in human life
Department's work hours are 8:30, quitting time 17:30, otherwise calculate late and leave early, and do not count overtime, engineering department
Work hours be 8:30-9:00, quitting time 17:30-18:00, after the work hours of corresponding 8 hours, calculate plus
Class's time.
In another embodiment, attendance rule can also be with different employee numbers or the corresponding position of the employee into
It goes and is arranged, for example handle the employee of the above rank counts without overtime work, and the employee for getting yearly salary system counts without overtime work etc.
Deng.
Execution module 400: for the overtime work duration according to the employee in the attendance rule-statistical of the department department.
Comprehensive attendance data includes employee number, name, department, position and the note of checking card arranged according to date and time point
Record.Above data is usually data the most basic, and further, the comprehensive attendance data further includes by specified attendance
Table, line illustration, histogram and/or the cake chart that data generate.These additional data be by comprehensive attendance data and
What selected specified attendance data automatically generated, the mode of generation is the prior art, such as common Microsoft Excel, is passed through
Specific data are chosen, that is, produce corresponding chart.Such function is set in the application, is conducive to more intuitively to employee
Attendance data checked, more rapidly data are analyzed and are understood.
It further, can be with abnormity prompt, the comprehensive attendance data abnormity prompt according to above-mentioned comprehensive attendance data
Corresponding realization device includes:
First comparison submodule: it is compared for attendance data and preset attendance exception rules will to be integrated；
Preset attendance exception rules are another attendance rule of according to employee workload situation setting, for example provide
The overtime work duration of employee every month must not exceed 36 hours, and number of comining to work late and leave early must not exceed 10 times, if being more than 36 small
When can indicate that the working efficiency of the employee is too low, with this come remind the employee improve working efficiency；Or a certain employee's this month
Number of comining to work late and leave early is more than 10 times, then there are problems for the working attitude of the employee.
In the application, according to preset attendance exception rules, the related content in comprehensive attendance data is compared, than
The overtime work duration in employee's this month, progress when working overtime by the overtime work duration and preset highest are such as obtained by comprehensive attendance data
Row comparison.
First prompting submodule: for when comprehensive attendance data meets preset attendance exception rules, by preset
Abnormity prompt mode reminds abnormal synthesis attendance data, and the preset abnormity prompt mode includes turning out for work to synthesis
Employee number corresponding to abnormal data or abnormal data in data is marked.
Such as the overtime work duration of above-mentioned employee has been more than preset highest overtime work duration, then the data to the overtime work duration or
The corresponding employee number of person's data highlights.But above-mentioned abnormity prompt mode is not limited to above-mentioned protrusion and shows
Show, can also be the mode that other any one can be quickly read from data.For example extract attendance exception mapped person
Work number and all abnormal datas, generate attendance exception table, in order to all attendances of work attendance statistics personnel's quick obtaining
Abnormal staff attendance data, improve the working efficiency of work attendance statistics personnel.
It further, include overtime work duration in the comprehensive attendance data, the corresponding device of statistics overtime work duration includes:
Third acquisition submodule: for obtaining the comprehensive attendance data of employee number mapped for meeting overtime work condition, and
From all records of checking card extracted in the synthesis attendance data in preset effective overtime section；
The employee number for meeting overtime work condition refers to the employee that can calculate overtime, for example mentions in description above
, when there is according to department the situation for setting attendance rule in statistical rules, the employee of some departments or certain employees are not
Suitable for overtime work rule, then referred to as ineligible employee, the employee for only setting the statistics that can carry out working overtime are corresponding
The comprehensive attendance data of employee number mapped in checking card record just carry out overtime work statistics.
Effective overtime section refers to the period for being included into overtime, for example the normal quitting time is 18:
00, then from being effective overtime between 18:00-24:00, remaining time, which is not counted in, works overtime in statistics section.
Third handles submodule: successively counting the time between adjacent record of checking card twice for record of checking card according to
Interval；
First statistic submodule: for when the time interval is greater than preset time value, the time interval not to be counted
In overtime work duration.
In the prior art, statistics overtime work duration, whether system is usually also to check card after judging automatically quitting time point
Record, when also check card record when, count from quitting time point to the same day last time check card between duration, directly by this when
It is long to count in overtime work duration.
But the very mechanization of this mode, employee may can dine out after quitting time point, if according to the prior art
Method, the time that also this can be had a meal counts in overtime work duration, but for stricti jurise, this time can not be counted
Within overtime, so needing a kind of statistical, this partial time period can be identified, and reject.
In a kind of embodiment, attendance checking system and access control system can be combined together, employee enters and leaves, it is necessary to it swipes the card, with
This checks card.In such an application scenario, available employee go out, fashionable record of checking card, due to employee one out one into
Record of checking card twice is adjacent, therefore can obtain a time interval by adjacent record of checking card twice.It checks card to employee is outgoing
One standard value is set to the time interval checked card is entered next time, is more than the standard value, then by the period corresponding duration
It rejects in the statistics of overtime work duration, effectively overtime work duration is counted with this.
In this application, comprehensive attendance data further includes table, the line illustration, column generated by specified attendance data
Figure and/or cake chart, after obtaining the data such as comprehensive attendance data and overtime work duration through the above steps, system can basis
These data generate corresponding icon, in order to more intuitively understand the variation tendency of data.
The embodiment of the present invention provides computer equipment basic structure block diagram and please refers to Fig. 7.
The computer equipment includes processor, non-volatile memory medium, memory and the net connected by system bus
Network interface.Wherein, the non-volatile memory medium of the computer equipment is stored with operating system, database and computer-readable finger
It enables, control information sequence can be stored in database, when which is executed by processor, may make that processor is real
A kind of method of existing work attendance statistics.The processor of the computer equipment supports entire calculate for providing calculating and control ability
The operation of machine equipment.Computer-readable instruction can be stored in the memory of the computer equipment, the computer-readable instruction quilt
When processor executes, a kind of may make processor to execute work attendance statistics method.The network interface of the computer equipment be used for
Terminal connection communication.It will be understood by those skilled in the art that structure shown in Fig. 7, only relevant to application scheme
The block diagram of part-structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific to calculate
Machine equipment may include perhaps combining certain components or with different components than more or fewer components as shown in the figure
Arrangement.
The status information for prompting behavior that computer equipment is sent by receiving associated client, i.e., whether associated terminal
It opens prompt and whether user closes the prompt task.By verifying whether above-mentioned task condition is reached, and then eventually to association
End sends corresponding preset instructions, so that associated terminal can execute corresponding operation according to the preset instructions, to realize
Effective supervision to associated terminal.Meanwhile when prompt information state and preset status command be not identical, server end control
Associated terminal persistently carries out jingle bell, the problem of to prevent the prompt task of associated terminal from terminating automatically after executing a period of time.
The present invention also provides a kind of storage mediums for being stored with computer-readable instruction, and the computer-readable instruction is by one
When a or multiple processors execute, so that one or more processors execute the side of work attendance statistics described in any of the above-described embodiment
Method.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, which can be stored in a computer-readable storage and be situated between
In matter, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, storage medium above-mentioned can be
The non-volatile memory mediums such as magnetic disk, CD, read-only memory (Read-Only Memory, ROM) or random storage note
Recall body (Random Access Memory, RAM) etc..
It should be understood that although each step in the flow chart of attached drawing is successively shown according to the instruction of arrow,
These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps
Execution there is no stringent sequences to limit, can execute in the other order.Moreover, at least one in the flow chart of attached drawing
Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps
Completion is executed, but can be executed at different times, execution sequence, which is also not necessarily, successively to be carried out, but can be with other
At least part of the sub-step or stage of step or other steps executes in turn or alternately.
The above is only some embodiments of the invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of method of work attendance statistics characterized by comprising
Work attendance statistics request is received, the work attendance statistics request carries department's information；
According to the corresponding staff attendance table of department's acquisition of information, the staff attendance table includes that department's information is corresponding
The attendance data of each employee in department；
The attendance that there are mapping relations with department's information is extracted in preset attendance data library according to department's information
Rule；
According to the synthesis attendance data within a preset period of time of each employee in department described in the attendance rule-statistical of the department.
2. the method for work attendance statistics according to claim 1, which is characterized in that the attendance obtained in staff attendance table
Information includes:
It obtains with the api interface of the multiple attendance checking systems docked to obtain multiple attendance checking system mapped attendance datas, it is described
The carrier of attendance data is text, chart or picture；
It identifies the attendance data of the multiple attendance checking system and is sorted out；
The staff attendance table is generated according to the attendance data of classification.
3. the method for work attendance statistics according to claim 2, which is characterized in that described to identify the attendance data and carry out
The method of classification includes:
The data in the attendance data with the keyword match are extracted according to preset keyword, include member in the keyword
Work is numbered, and includes employee number in the attendance data；
Attendance data corresponding to the employee number is returned as unit of day according to the distribution at time point according to employee number
Collection.
4. the method for work attendance statistics according to claim 1 to 3, which is characterized in that the attendance rule is also wrapped
Include: different departments map different attendance rules.
5. the method for work attendance statistics according to claim 1, which is characterized in that further include that comprehensive attendance data mentions extremely
It wakes up, the method for the comprehensive attendance data abnormity prompt includes:
It will comprehensive attendance data and the comparison of preset attendance exception rules；
When comprehensive attendance data meets preset attendance exception rules, by preset abnormity prompt mode to abnormal synthesis
Attendance data is reminded, and the preset abnormity prompt mode includes to the abnormal data or exception in comprehensive attendance data
Employee number corresponding to data is marked.
6. the method for work attendance statistics according to claim 1, which is characterized in that include overtime work in the comprehensive attendance data
Duration, the statistical method for working overtime duration include:
The comprehensive attendance data of employee number mapped for meeting overtime work condition is obtained, and is extracted from the synthesis attendance data
All records of checking card in preset effective overtime section；
The time interval between adjacent record of checking card twice is successively counted according to the record of checking card；
When the time interval is greater than preset time value, the time interval is not counted in overtime work duration.
7. the method for work attendance statistics according to claim 1, which is characterized in that the comprehensive attendance data further includes passing through
Table, line illustration, histogram and/or the cake chart that specified attendance data generates.
8. a kind of device of work attendance statistics characterized by comprising
Receiving module: for receiving work attendance statistics request, the work attendance statistics request carries department's information；
Obtain module: for according to the corresponding staff attendance table of department's acquisition of information, the staff attendance table to include described
The attendance data of each employee in the corresponding department of department's information；
Processing module: it is reflected for being extracted to have with department's information in preset attendance data library according to department's information
Penetrate the attendance rule of relationship；
Execution module: in department described in the attendance rule-statistical according to the department each employee within a preset period of time
Comprehensive attendance data.
9. a kind of computer equipment, which is characterized in that including memory and processor, being stored with computer in the memory can
Reading instruction, when the computer-readable instruction is executed by the processor, so that the processor executes such as claim 1 to 7
Any one of the method for work attendance statistics described in claim the step of.
10. a kind of storage medium for being stored with computer-readable instruction, which is characterized in that the computer-readable instruction is by one
Or multiple processors are when executing, so that one or more processors are executed as described in any one of claims 1 to 7 claim
Work attendance statistics method the step of.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810951751.XA CN109242418A (en) | 2018-08-21 | 2018-08-21 | Method, apparatus, computer equipment and the storage medium of work attendance statistics |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810951751.XA CN109242418A (en) | 2018-08-21 | 2018-08-21 | Method, apparatus, computer equipment and the storage medium of work attendance statistics |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109242418A true CN109242418A (en) | 2019-01-18 |
Family
ID=65070140
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810951751.XA Pending CN109242418A (en) | 2018-08-21 | 2018-08-21 | Method, apparatus, computer equipment and the storage medium of work attendance statistics |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109242418A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110175790A (en) * | 2019-06-04 | 2019-08-27 | 广东铭太信息科技有限公司 | A method of it is counted for multiple crime case |
| CN110443905A (en) * | 2019-06-20 | 2019-11-12 | 珠海格力电器股份有限公司 | Attendance monitoring method, equipment and computer readable storage medium |
| CN111680960A (en) * | 2020-04-20 | 2020-09-18 | 山东浪潮通软信息科技有限公司 | Attendance statistical method and equipment |
| CN112990881A (en) * | 2021-04-14 | 2021-06-18 | 江苏金恒信息科技股份有限公司 | Related party attendance system and method |
| CN113127523A (en) * | 2021-03-11 | 2021-07-16 | 思百达物联网科技(北京)有限公司 | Multi-dimensional attendance checking analysis method and device based on big data and candle picture |
| CN113469635A (en) * | 2021-03-29 | 2021-10-01 | 北京国电通网络技术有限公司 | Attendance data-based personnel management method, device, equipment and storage medium |
| CN115114666A (en) * | 2022-08-25 | 2022-09-27 | 天聚地合(苏州)科技股份有限公司 | Attendance data privacy calculation method and system based on block chain |
| CN116862459A (en) * | 2023-07-25 | 2023-10-10 | 天津大学 | Refined attendance checking method for human resource management |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101702207A (en) * | 2009-10-28 | 2010-05-05 | 金蝶软件（中国）有限公司 | Attendance calculating method and device |
| CN103632404A (en) * | 2013-09-10 | 2014-03-12 | 北京思特奇信息技术股份有限公司 | Multi-enterprise attendance method and system implemented based on converged communication technology |
| CN104794768A (en) * | 2015-04-24 | 2015-07-22 | 凯拔（中国）科技有限公司 | Attendance checking system and attendance checking method capable of regularly and automatically running attendance checking calculation |
| CN104866950A (en) * | 2015-04-24 | 2015-08-26 | 凯拔（中国）科技有限公司 | A method for realizing attendance rules by dynamically expanding adaptation in attendance calculation |
| CN106548328A (en) * | 2016-11-30 | 2017-03-29 | 北京恒华伟业科技股份有限公司 | Work attendance statistics system and method |
| CN106708794A (en) * | 2016-12-06 | 2017-05-24 | 厦门中控生物识别信息技术有限公司 | Attendance statement processing method and device |
| CN108288310A (en) * | 2018-03-01 | 2018-07-17 | 太仓市智威智能科技有限公司 | Intelligent Checking on Work Attendance manages system |
-
2018
- 2018-08-21 CN CN201810951751.XA patent/CN109242418A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101702207A (en) * | 2009-10-28 | 2010-05-05 | 金蝶软件（中国）有限公司 | Attendance calculating method and device |
| CN103632404A (en) * | 2013-09-10 | 2014-03-12 | 北京思特奇信息技术股份有限公司 | Multi-enterprise attendance method and system implemented based on converged communication technology |
| CN104794768A (en) * | 2015-04-24 | 2015-07-22 | 凯拔（中国）科技有限公司 | Attendance checking system and attendance checking method capable of regularly and automatically running attendance checking calculation |
| CN104866950A (en) * | 2015-04-24 | 2015-08-26 | 凯拔（中国）科技有限公司 | A method for realizing attendance rules by dynamically expanding adaptation in attendance calculation |
| CN106548328A (en) * | 2016-11-30 | 2017-03-29 | 北京恒华伟业科技股份有限公司 | Work attendance statistics system and method |
| CN106708794A (en) * | 2016-12-06 | 2017-05-24 | 厦门中控生物识别信息技术有限公司 | Attendance statement processing method and device |
| CN108288310A (en) * | 2018-03-01 | 2018-07-17 | 太仓市智威智能科技有限公司 | Intelligent Checking on Work Attendance manages system |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110175790A (en) * | 2019-06-04 | 2019-08-27 | 广东铭太信息科技有限公司 | A method of it is counted for multiple crime case |
| CN110443905A (en) * | 2019-06-20 | 2019-11-12 | 珠海格力电器股份有限公司 | Attendance monitoring method, equipment and computer readable storage medium |
| CN111680960A (en) * | 2020-04-20 | 2020-09-18 | 山东浪潮通软信息科技有限公司 | Attendance statistical method and equipment |
| CN113127523A (en) * | 2021-03-11 | 2021-07-16 | 思百达物联网科技(北京)有限公司 | Multi-dimensional attendance checking analysis method and device based on big data and candle picture |
| CN113469635A (en) * | 2021-03-29 | 2021-10-01 | 北京国电通网络技术有限公司 | Attendance data-based personnel management method, device, equipment and storage medium |
| CN112990881A (en) * | 2021-04-14 | 2021-06-18 | 江苏金恒信息科技股份有限公司 | Related party attendance system and method |
| CN112990881B (en) * | 2021-04-14 | 2024-04-16 | 江苏金恒信息科技股份有限公司 | Related party attendance checking system and method |
| CN115114666A (en) * | 2022-08-25 | 2022-09-27 | 天聚地合(苏州)科技股份有限公司 | Attendance data privacy calculation method and system based on block chain |
| CN115114666B (en) * | 2022-08-25 | 2023-04-21 | 天聚地合(苏州)科技股份有限公司 | Attendance data privacy calculation method and system based on blockchain |
| CN116862459A (en) * | 2023-07-25 | 2023-10-10 | 天津大学 | Refined attendance checking method for human resource management |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109242418A (en) | Method, apparatus, computer equipment and the storage medium of work attendance statistics | |
| CN104915446B (en) | Event Evolvement extraction method and its system based on news | |
| US9165254B2 (en) | Method and system to predict the likelihood of topics | |
| EP1158467A2 (en) | Integrating biometric devices in time and attendance applications | |
| KR940006042A (en) | Election terminal device | |
| CN103971193A (en) | Campus management system | |
| CN111815421B (en) | Tax policy processing method and device, terminal equipment and storage medium | |
| CN109558441A (en) | Financial index automatic monitoring method, device, computer equipment and storage medium | |
| CN103961068A (en) | Device and method for detecting body temperatures | |
| CN203182893U (en) | Body temperature detection device | |
| Thein et al. | Students’ attendance management system based on RFID and fingerprint reader | |
| US20060206942A1 (en) | Field interview kit | |
| CN101529447A (en) | Improved mobile communication terminal | |
| Abas et al. | Attendance Management System (AMS) with fast track analysis | |
| CN108108053B (en) | Wisdom interactive terminal applied to campus | |
| CN109192286A (en) | Automatic diagnosis method and device and electronic equipment | |
| CN114092948B (en) | Bill identification method, device, equipment and storage medium | |
| US20150262312A1 (en) | Management system and method | |
| CN109191083A (en) | Calculation method, system, device and storage medium when a kind of employee chief engineer | |
| CN111563737A (en) | Intelligent dining system and method based on face recognition | |
| CN203192056U (en) | School bus management device | |
| CN104839962A (en) | Smart wallet, information processing method thereof and device | |
| JP4938367B2 (en) | Security diagnostic system | |
| CN114037154A (en) | Method and system for predicting scientific and technological achievement number and theme based on attention characteristics | |
| CN115545459A (en) | Personnel sampling inspection method and device, electronic equipment and computer readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |