CN109493439A - A kind of intelligent work management method based on big data - Google Patents
A kind of intelligent work management method based on big data Download PDFInfo
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- CN109493439A CN109493439A CN201811254601.XA CN201811254601A CN109493439A CN 109493439 A CN109493439 A CN 109493439A CN 201811254601 A CN201811254601 A CN 201811254601A CN 109493439 A CN109493439 A CN 109493439A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention relates to intelligent management technical field, especially a kind of intelligent work management method based on big data, comprising the following steps: S1, the facial feature information that the employee that registers is obtained by face identification system；S2, the facial feature information of the employee saved in the facial feature information and database of the collected employee that registers of face identification system is compared, after retrieval comparison, when there is the facial feature information of the employee that registers in database, then the prompt employee that registers registers success, then executes S5；The task that S6, employee send leader confirms, and will confirm that result feeds back to department head.The present invention can be good at supervising the case where employee's clock in and out is registered, the appearance for situation of checking card can effectively be avoided, and the department head of company randomly selects the working condition of viewing employee by monitoring, the working efficiency of employee can be effectively improved, and then improves the benefit of entire enterprise.
Description
Technical field
The present invention relates to intelligent management technical field more particularly to a kind of intelligent work management methods based on big data.
Background technique
Currently, many companies are in staff's benefits mode, employee is on and off duty daily, first checks card and registers, by checking card
It registers the case where whether employee has working late or leave early monitored, checking card to register at present generallys use computer webpage and check card
System either uses fingerprint clocking-in machine, and computer webpage punch card system occurs commonplace for the case where checking card；And it is directed to
For fingerprint clocking-in machine, fingerprint film has also been had already appeared for the case where checking card, since associate is more, corporate department is led not
It may can find, this has resulted in the sluggish situation of part employee；And during employee's working, corporate department leader's
It supervises limited, relies primarily on the consciousness of employee to work, the working efficiency that this will also result in employee is low, and then influences public
The benefit of department.
Summary of the invention
The purpose of the present invention is to solve disadvantages existing in the prior art, and a kind of intelligence based on big data proposed
It can work management method.
To achieve the goals above, present invention employs following technical solutions:
Design a kind of intelligent work management method based on big data, comprising the following steps:
S1, the facial feature information that the employee that registers is obtained by face identification system；
S2, by the face of the employee saved in the facial feature information and database of the collected employee that registers of face identification system
Characteristic information compares, and after retrieval comparison, when there is the facial feature information of the employee that registers in database, then prompts the person of registering
Work is registered success, and S5 is then executed；When there is no comparison to retrieve the facial feature information of the employee that registers in database, then mention
Show that the employee that registers registers unsuccessfully, then executes S3；
S3, the employee that registers carry out verifying while work number and identification card number, if be verified, the face of the employee that registers is special
Reference breath is saved in database, is prompted success of registering, is then executed S5；If still authentication failed when, which is registered
The work number and identification card number of failure news and employee send jointly to company's occurrences in human life, then execute S4；
S4, company's occurrences in human life are retrieved in personnel information library according to the work number and identification card number for the employee that registers, if retrieving
The work number and identification card number of the employee, after the confirmation of company's occurrences in human life, then the facial feature information, work number and identity card of the employee that registers
It number is saved in database, prompts success of registering, then execute S5；If not retrieving the work number and identity card of the employee
Number, it sounds an alarm；
The task of today is sent to employee by S5, department head；
The task that S6, employee send leader confirms, and will confirm that result feeds back to department head；
S7, at work department head can randomly select the working condition of viewing employee by monitoring, when randomly selecting viewing
For employee not when being earnest about one's work, department head sends message as prompting, if after department head sends prompting message, employee
It is being earnest about one's work, then department head sends pep talk language as reward；If employee is not still earnest about one's work, then execute
S8；
S8, department head look for the employee to interview, and inquire employee's situation, and advise.
Preferably, the face identification system includes network system management host, and the network system management host is connected separately
There are face recognition module, database module and face information recording module, the face recognition module signal is connected with face figure
As acquisition module.
Preferably, the man face image acquiring module is recognition of face high photographing instrument.
Preferably, in step s 5, the task includes job information and job requirement, and the job requirement includes
People's information is collected after the completion of completing the estimated required time of work, the latest task submission time and working.
Preferably, in step s 4, after sounding an alarm, companies guards go forward query status and to provide building for corresponding situation
View.
Preferably, in step s 6, it after employee receives the task that department head sends, can be mentioned to department head
Friendship, which is asked for leave, applies for either task replacement application.
Preferably, in the step s 7, employee is not earnest about one's work including people not on post and unrelated with work doing
Thing, for people, such case on post, company are not arranged a maximum time value, are more than if employee leaves work position
This maximum time value, and in the case where employee is without illustrating in advance, then S8 is executed, wherein unrelated with work doing
Situations such as thing includes the webpage information for seeing that screen, object for appreciation mobile phone, browsing are unrelated with work.
A kind of intelligent work management method based on big data proposed by the present invention, beneficial effect are: the present invention can
Supervision employee's clock in and out the case where registering well, can effectively avoid generation from checking card the appearance of situation, and company
Department head randomly selects the working condition of viewing employee by monitoring, can effectively improve the working efficiency of employee, in turn
Improve the benefit of entire enterprise.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of the intelligent work management method based on big data proposed by the present invention；
Fig. 2 is a kind of system frame of the face identification system of the intelligent work management method based on big data proposed by the present invention
Figure.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.
Referring to Fig.1-2, a kind of intelligent work management method based on big data, comprising the following steps:
S1, the facial feature information that the employee that registers is obtained by face identification system；
S2, by the face of the employee saved in the facial feature information and database of the collected employee that registers of face identification system
Characteristic information compares, and after retrieval comparison, when there is the facial feature information of the employee that registers in database, then prompts the person of registering
Work is registered success, and S5 is then executed；When there is no comparison to retrieve the facial feature information of the employee that registers in database, then mention
Show that the employee that registers registers unsuccessfully, then executes S3；
S3, the employee that registers carry out verifying while work number and identification card number, if be verified, the face of the employee that registers is special
Reference breath is saved in database, is prompted success of registering, is then executed S5；If still authentication failed when, which is registered
The work number and identification card number of failure news and employee send jointly to company's occurrences in human life, then execute S4；
S4, company's occurrences in human life are retrieved in personnel information library according to the work number and identification card number for the employee that registers, if retrieving
The work number and identification card number of the employee, after the confirmation of company's occurrences in human life, then the facial feature information, work number and identity card of the employee that registers
It number is saved in database, prompts success of registering, then execute S5；If not retrieving the work number and identity card of the employee
Number, it sounds an alarm；
The task of today is sent to employee by S5, department head；
The task that S6, employee send leader confirms, and will confirm that result feeds back to department head；
S7, at work department head can randomly select the working condition of viewing employee by monitoring, when randomly selecting viewing
For employee not when being earnest about one's work, department head sends message as prompting, if after department head sends prompting message, employee
It is being earnest about one's work, then department head sends pep talk language as reward；If employee is not still earnest about one's work, then execute
S8；
S8, department head look for the employee to interview, and inquire employee's situation, and advise.
This case that the working condition for randomly selecting viewing employee by monitoring for department head, first is that because portion, company
Door leader's thing is more, it is impossible to also go the work for watching each employee to monitor without the time；Second is that the mode randomly selected has
There is good representativeness, employee does not know that corporate department leader can or can not be extracted into and watch the monitoring screen of oneself yet, this is also
It allows each employee to keep good working order, and then can guarantee the working efficiency of employee.
Face identification system includes network system management host, network system management host be connected separately face recognition module,
Database module and face information recording module, face recognition module signal are connected with man face image acquiring module, facial image
Acquisition module is recognition of face high photographing instrument, and recognition of face high photographing instrument can not only be acquired facial image, additionally it is possible to new
When employee's registration, the identity card of new employee is placed in recognition of face high photographing instrument, recognition of face high photographing instrument is to New Hire Onboarding
The ID card information of employee is acquired, and the facial feature information and ID card information for new employee can be saved in company together
Database module in, and be directed to the daily old employee to check card, clock in and out is carried out by recognition of face registers, Neng Gouyou
The appearance of effect avoided for situation of checking card can replace corporate department leader play the role of supervision to employee.
In step s 5, task includes job information and job requirement, and job requirement includes completing the estimated institute of work
Take time, the latest task submission time and work after the completion of collect people's information, a few thing task in job requirement
It is that points for attention are said it is clear that first is that employee is allowed to have a rough understanding to the task assigned by oneself；Second is that
Indirect reminding employees pay attention to working efficiency when working.
In step s 4, after sounding an alarm, companies guards go forward query status and to provide the suggestion of corresponding situation, and company is protected
Peace timely solves the problems, such as, avoids alarm song from bothering the mind of other employees of company, if asking occurs in the system of registering of checking card
Topic, companies guards timely up fed back by grade, the processing of solution as soon as possible.
In step s 6, after employee receives the task that department head sends, it can submit and ask for leave to department head
Application or task replace application, and after corporate department leader receives task replacement application agreement, employee is by before
Task return to department head, department head retransmits new task to employee, corporate department neck again
Lead receive employee ask for leave application agree to after, task before is returned to department head by employee, then clock out,
Corporate department is led again by this task arranged to other employees.
In the step s 7, employee is not earnest about one's work including people not on post and is doing the thing unrelated with work, needle
To people's not such case on post, company is arranged a maximum time value, this maximum time value go to toilet for employee or
Person is made a phone call using this also embodies the hommization of company, if it has been more than this maximum time that employee, which leaves work position,
Value, and in the case where employee is without illustrating in advance, department head looks for the employee to interview, and inquires employee's situation, and mention
Suggest out；It include wherein the feelings such as the webpage information for seeing that screen, object for appreciation mobile phone, browsing are unrelated with work doing the thing unrelated with work
Condition, if corporate department leader look for employee interview after, employee improve before working condition, even if interview play effect；
If employee interview after working condition still keep intact, then at this time corporate department leader to employee make accordingly punish or
It is to dismiss, and then inform that other employees will learn a lesson, goes to work carefully, and then be able to ascend the benefit of company.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (7)
1. a kind of intelligent work management method based on big data, which comprises the following steps:
S1, the facial feature information that the employee that registers is obtained by face identification system；
S2, by the face of the employee saved in the facial feature information and database of the collected employee that registers of face identification system
Characteristic information compares, and after retrieval comparison, when there is the facial feature information of the employee that registers in database, then prompts the person of registering
Work is registered success, and S5 is then executed；When there is no comparison to retrieve the facial feature information of the employee that registers in database, then mention
Show that the employee that registers registers unsuccessfully, then executes S3；
S3, the employee that registers carry out verifying while work number and identification card number, if be verified, the face of the employee that registers is special
Reference breath is saved in database, is prompted success of registering, is then executed S5；If still authentication failed when, which is registered
The work number and identification card number of failure news and employee send jointly to company's occurrences in human life, then execute S4；
S4, company's occurrences in human life are retrieved in personnel information library according to the work number and identification card number for the employee that registers, if retrieving
The work number and identification card number of the employee, after the confirmation of company's occurrences in human life, then the facial feature information, work number and identity card of the employee that registers
It number is saved in database, prompts success of registering, then execute S5；If not retrieving the work number and identity card of the employee
Number, it sounds an alarm；
The task of today is sent to employee by S5, department head；
The task that S6, employee send leader confirms, and will confirm that result feeds back to department head；
S7, at work department head can randomly select the working condition of viewing employee by monitoring, when randomly selecting viewing
For employee not when being earnest about one's work, department head sends message as prompting, if after department head sends prompting message, employee
It is being earnest about one's work, then department head sends pep talk language as reward；If employee is not still earnest about one's work, then execute
S8；
S8, department head look for the employee to interview, and inquire employee's situation, and advise.
2. a kind of intelligent work management method based on big data according to claim 1, which is characterized in that the face
Identifying system includes network system management host, and the network system management host has been connected separately face recognition module, database mould
Block and face information recording module, the face recognition module signal are connected with man face image acquiring module.
3. a kind of intelligent work management method based on big data according to claim 2, which is characterized in that the face
Image capture module is recognition of face high photographing instrument.
4. a kind of intelligent work management method based on big data according to claim 1, which is characterized in that in step S5
In, the task includes job information and job requirement, and the job requirement includes the time required to completion work is estimated, most
People's information is collected after the completion of late task submission time and work.
5. a kind of intelligent work management method based on big data according to claim 1, which is characterized in that in step S4
In, after sounding an alarm, companies guards go forward query status and to provide the suggestion of corresponding situation.
6. a kind of intelligent work management method based on big data according to claim 1, which is characterized in that in step S6
In, after employee receives the task of department head's transmission, application either work of asking for leave can be submitted to appoint to department head
Business replacement application.
7. a kind of intelligent work management method based on big data according to claim 1, which is characterized in that in step S7
In, employee is not earnest about one's work including people not on post and is doing the thing unrelated with work, for people not on post this
Kind situation, a maximum time value is arranged in company, if it has been more than this maximum time value that employee, which leaves work position, and
Employee without in advance illustrate in the case where, then execute S8, wherein do the thing unrelated with work including see screen, object for appreciation mobile phone,
Situations such as browsing the webpage information unrelated with work.
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| CN201811254601.XA CN109493439A (en) | 2018-10-26 | 2018-10-26 | A kind of intelligent work management method based on big data |
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Application publication date: 20190319 |