CN111882692A - Intelligent mobile attendance checking method and device - Google Patents
Intelligent mobile attendance checking method and device Download PDFInfo
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- CN111882692A CN111882692A CN202010702728.4A CN202010702728A CN111882692A CN 111882692 A CN111882692 A CN 111882692A CN 202010702728 A CN202010702728 A CN 202010702728A CN 111882692 A CN111882692 A CN 111882692A
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- card punching
- attendance
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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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Time Recorders, Dirve Recorders, Access Control (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an intelligent mobile attendance checking method, which is applied to a client and is characterized by comprising the following steps: entering an online/offline card punching mode manually or automatically according to the current network state; when the card is in the offline card punching mode, storing attendance related data of a current card punching point in the client in an offline mode; matching attendance related data of the current card punching point with attendance rules in the client to obtain offline attendance condition information; and verifying whether the offline attendance status information is valid or not, rejecting abnormal card punching data, and storing normal card punching data into an attendance result table. The technical scheme of the invention can enable the user to finish card punching under the condition of poor network conditions, optimize the card punching experience of the staff under special conditions and prevent the staff from cheating card punching. In addition, this application still correspondingly discloses an intelligent movement attendance device.
Description
Technical Field
The invention belongs to the technical field of terminal application, and particularly relates to an intelligent mobile attendance checking method and device.
Background
With the advent of the mobile internet and the 5G era, mobile office and digital transformation are slowly and deeply fixed in enterprises, and as the enterprises, the actual validity of attendance checking and card punching of employees is an essential link for enterprise operation management. However, employees working in places where networks such as forests, tunnels, railways, mines and the like have faults cannot punch cards by using a attendance machine, and also cannot punch cards by using a mobile App. At present, only the traditional paper is used for signing in for the employees, or the cards are not punched; the following disadvantages may exist: 1) the special person is required to manage and calculate through paper sign-in, and human resources are wasted; 2) the working time of the staff cannot be finely recorded, so that the salary data has deviation directly, and the enterprise cost is increased; 3) the mobile App can only punch the card in the network mode.
Disclosure of Invention
The invention aims to: the intelligent mobile attendance checking method and device can realize off-line attendance checking, prevent cheating on attendance checking and reduce the management cost of a company.
The technical scheme of the invention is as follows: an intelligent mobile attendance checking method is applied to a client side and comprises the following steps:
entering an online/offline card punching mode manually or automatically according to the current network state;
when the card is in the offline card punching mode, storing attendance related data of a current card punching point in the client in an offline mode;
matching attendance related data of the current card punching point with attendance rules in the client to obtain offline attendance condition information;
and verifying whether the offline attendance status information is valid or not, rejecting abnormal card punching data, and storing normal card punching data into an attendance result table.
Further, the step of verifying whether the offline attendance status information is valid further includes:
and calling the front camera of the client to carry out self-shooting, calling the rear camera to shoot surrounding buildings, identifying photos shot by the front camera and the rear camera simultaneously, and determining whether cheating occurs.
Further, the step of verifying whether the offline attendance status information is valid further includes:
and verifying whether the offline attendance checking condition information is valid or not by comparing the offline card punching equipment with the current allowable card punching equipment, whether software for modifying the GPS position by a third party is started in the successful card punching process and whether the time difference between the time for entering the offline card punching page and the successful card punching process exceeds the maximum threshold value.
Further, the intelligent mobile attendance method further comprises the following steps: and independently storing the abnormal card punching data, adjusting according to subsequent employee feedback data, and storing the adjusted normal card punching data into an attendance result table.
Further, the intelligent mobile attendance method further comprises the following steps: further comprising: and uploading the card punching data to a server when the network state meets the transmission requirement.
The utility model provides an intelligent movement attendance device, is applied to the customer end, and the device includes:
the intelligent network detection module can enter an online/offline card punching mode manually or automatically according to the current network state;
the offline storage module stores attendance related data of a current card punching point in the client offline when the offline card punching mode is in;
the offline matching module is used for matching the attendance related data of the current card punching point with the attendance rules in the client to obtain offline attendance condition information;
and the data verification module is used for verifying whether the offline attendance status information is valid or not, rejecting abnormal card punching data and storing normal card punching data into an attendance result table.
Further, the method also comprises the following steps:
and the photographing module is used for calling the front camera of the client to perform self photographing, calling the rear camera to photograph surrounding buildings, identifying photos shot by the front camera and the rear camera simultaneously, and determining whether cheating occurs.
Further, the method also comprises the following steps:
and the data verification module is used for verifying whether the offline attendance status information is valid or not by comparing the offline card punching equipment with the current allowable card punching equipment, whether software for modifying the GPS position by a third party is started in the successful card punching process and whether the time difference between the time for entering the offline card punching page and the successful card punching exceeds the maximum threshold value or not.
Further, the method also comprises the following steps:
an anomaly monitoring module: the system is used for storing offline data, so that a manager can conveniently check suspected cheating data and know the real card punching condition of an employee in time;
a data adjusting module: the method is used for the administrator to adjust the suspected cheating data in time and restore the suspected data into normal data according to the feedback and actual conditions of the staff.
Further, the method also comprises the following steps:
an intelligent network detection module for uploading the card punching data to the server when the network state meets the transmission requirement
The invention has the advantages that: through offline card punching setting, personnel information and attendance equipment information are encrypted and cached, a system automatically identifies the current network condition, online card punching is automatically used in the presence of a network, offline card punching is automatically carried out in the absence of the network, local cache equipment is used for verification, self-shooting and surrounding buildings are shot at the same time, and two pictures are automatically synthesized to automatically punch the card; when a network exists, the card punching data are automatically uploaded, the system performs secondary card punching data verification, and meanwhile, whether the card punching data are abnormal or not can be counted, and the abnormal data are adjusted; therefore, the card punching experience of the staff under the special condition is optimized, and meanwhile, the cheat of card punching of the staff is prevented.
Drawings
The invention is further described with reference to the following figures and examples:
fig. 1 is a system structure diagram of the intelligent mobile attendance checking device of the present application;
FIG. 2 is a schematic diagram of an offline card punching configuration module;
FIG. 3 is a schematic diagram of an intelligent network detection module;
FIG. 4 is a schematic diagram of an offline matching module;
FIG. 5 is a schematic diagram of a modular construction of the photographing synthesis module;
FIG. 6 is a block diagram of a data verification module;
FIG. 7 is a schematic diagram of the system page operation of FIG. 1;
FIG. 8 is a schematic diagram of the system page operation of FIG. 2;
FIG. 9 is a schematic diagram of the system page operation of FIG. 3;
FIG. 10 is a schematic diagram of the system page operation of FIG. 4;
FIG. 11 is a schematic diagram of the page operation of the system of FIG. 5.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
The embodiment of the invention discloses an intelligent mobile attendance checking method which can be realized by an application program carried in a terminal.
Step 1, storing the information of the card punching staff and the information of the card punching equipment into a terminal. The card punching personnel comprise personnel in fixed office places and business personnel for attendance at indefinite points. The employee's equipment of checking the card contains fixed bluetooth equipment, fixed GPS position, unfixed GPS point. The employee may use a fixed bluetooth ibeacon hardware device when punching the card: capturing a Bluetooth wireless signal transmitted by Bluetooth ibeacon equipment through a mobile phone Bluetooth module, and performing matching verification to punch a card; fixing the GPS position: positioning through a mobile phone GPS module, comparing with a GPS address of an office point, and allowing card punching within a GPS card punching range of the office point; not fixing the GPS point: GPS comparison is not needed, positioning is carried out through a mobile phone GPS module, and the employee location card punching address is obtained.
And 2, determining whether to enter an offline card punching mode according to the network condition, and after the system is started, performing offline storage on the personnel information and the attendance equipment information by the system to ensure that a user can normally enter the system and punch a card normally under the condition of no network, and when the system is not started, not storing the personnel data offline. The user may also manually select to enter an offline card punch mode.
Step 3, verifying the equipment at the current card punching point and the offline storage equipment, preferentially matching the offline storage equipment, and punching the card by using the offline storage equipment when the offline storage equipment is matched; and when the offline equipment is not matched, recording the current GPS address of the employee for punching the card.
And 4, after the offline cache equipment is matched, calling the front camera to carry out self-shooting, calling the rear camera to shoot surrounding buildings, preventing employees from cheating by card punching, and simultaneously shooting by the front camera and the rear camera. In order to obtain a better verification effect, two photos are combined into one photo, and a GPS position and time watermark is automatically added.
Step 5, automatically submitting the offline card punching data to an attendance system, and automatically submitting the offline card punching data by the system when the employee enters a network state; when the network is abnormal, the staff can selectively and manually upload the offline data.
And 6, verifying whether the offline card punching data is real and effective data, and comparing and verifying through a plurality of factors as follows:
a) comparing the offline card punching equipment with the current card punching equipment;
b) whether software for modifying the GPS position by a third party is started in the successful card punching process;
c) whether the time difference between the time of entering the offline card punching page and the time of successful card punching exceeds a maximum threshold value or not;
d) whether the picture uploaded is personal or not.
The condition that the above rules are not satisfied is default to suspected cheating. The offline card punching can be performed for 2 times of verification, the first verification is the card punching verification through the mobile phone local cache device under the offline condition, the second verification is the verification through the back-end system under the online mode, and the compliance verification can be added on the premise of meeting the card punching requirement.
And 7, storing the verified offline card punching data, storing normal data into an attendance result table, wherein suspected cheating data cannot be stored into the attendance result table, and an administrator can adjust the suspected cheating data and restore the suspected cheating data into normal data according to feedback and actual conditions of employees.
And 8, storing normal card punching data, receiving a suspected cheating adjustment result, and automatically eliminating attendance abnormity. The offline abnormal data can not be subjected to attendance calculation, so that the employee has non-card-swiping/no-work abnormal data in the same day, the administrator can check all normal and abnormal offline card-swiping data in the card-swiping system and can adjust the offline abnormal data, and after the administrator adjusts the abnormal data, the card-swiping system can automatically trigger the attendance system to perform attendance calculation, so that the abnormality of the employee in the same day is automatically eliminated.
An intelligent mobile attendance device, the system structure of which is as shown in figure 1, comprises: (1) a personnel information module: the system is used for storing the information of the card punching employee; the card punching personnel comprise personnel in fixed office places and business personnel for attendance at indefinite points;
(2) attendance equipment module: the device is used for storing equipment which can be used for the employee to punch the card, and comprises fixed Bluetooth equipment, a fixed GPS position and an unfixed GPS point;
(3) an offline storage module: the system is used for setting whether to start an offline card punching mode or not, when the offline card punching mode is started, the system stores personnel information and attendance equipment information in an offline mode, the user can normally enter the system and punch a card normally under the condition of no network, and when the offline card punching mode is not started, the employee data cannot be stored in an offline mode, as shown in fig. 2.
(4) The intelligent network detection module is shown in fig. 3: the system is used for identifying the current network state of the employee and then intelligently judging whether the employee enters an online/offline card punching mode; when a user is in a network mode, automatically entering an online card punching mode; and when the user is in the no-network mode, automatically entering an offline card punching mode. When the network is switched in the using process, the system automatically gives a warning prompt to allow the staff to enter a corresponding card punching mode.
(5) An offline matching module, as shown in fig. 4: the device is used for verifying the current card punching point device and the offline storage device, preferentially matching the offline storage device, and punching the card by using the offline storage device when the offline storage device is matched; and when the offline equipment is not matched, recording the current GPS address of the employee for punching the card.
(6) A photographing module: the system is used for preventing cheating and card punching, calling a front camera to carry out self-shooting after the card is matched with the offline cache equipment, and calling a rear camera to shoot surrounding buildings; prevent employee cheat of checking card.
(7) A photo synthesis module, as shown in fig. 5: the system is used for combining two photos into one photo and automatically adding a GPS position and time watermark.
(8) An automatic card punching module: the automatic card punching system is used for automatic card punching, the current time reaches the time of punching the card, the card is matched with the offline equipment and is successfully punched after the card is shot, and one piece of offline data is automatically generated when the card is successfully punched once.
(9) An automatic upload module: the system is used for automatically submitting the offline card punching data to an attendance system, and when the employee enters a network state, the system automatically submits the offline card punching data; when the network is abnormal, the staff can selectively and manually upload the offline data.
(10) Data verification module, as shown in fig. 6: the data used for verifying whether the offline card punching is real and effective is compared and verified through a plurality of factors, and the method comprises the following steps:
a) comparing the offline card punching equipment with the current card punching equipment;
b) whether software for modifying the GPS position by a third party is started in the successful card punching process;
c) whether the time difference between the time of entering the offline card punching page and the time of successful card punching exceeds a maximum threshold value or not;
d) whether the picture uploaded is personal or not.
The condition that the above rules are not satisfied is default to suspected cheating.
Whether the devices match: if the data is matched with the data, the data is normal data, and if the data is not matched with the data, the data is abnormal data;
whether the GPS address is modified: if the data is not modified, the data is normal data, and if the data is modified, the data is abnormal data;
whether the time is exceeded by the time interval: if the data is not exceeded, the data is normal data, and if the data is exceeded, the data is abnormal data;
whether the uploaded photo is personal: the person who is the normal data is the abnormal data, and the person who is not the normal data is the abnormal data.
(11) A data storage module: the system is used for storing the offline card punching data after verification is completed, normal data are stored in an attendance result table, and suspected cheating data cannot be stored in the attendance result table.
(12) An anomaly monitoring module: the method and the system are used for storing offline data, so that a manager can conveniently check suspected cheating data and know the real card punching condition of the staff in time.
(13) A data adjusting module: the method is used for the administrator to adjust the suspected cheating data in time and restore the suspected data into normal data according to the feedback and actual conditions of the staff.
(14) An attendance result module: the system is used for storing normal card punching data, receiving suspected cheating adjustment results and automatically eliminating attendance abnormity.
In this embodiment, a mobile phone is used as a terminal, and the specific operations are as follows:
the first step is as follows: setting to start offline card punching, as shown in FIG. 7;
the second step is that: click the [ move punch card ] button, as shown in fig. 8;
the third step: dynamically detecting the network without the network, and entering an offline card punching page, as shown in fig. 9;
the fourth step: offline card punching, as shown in fig. 10;
the fifth step: and automatically uploading offline card punching data, as shown in fig. 11.
It should be understood that the above-mentioned embodiments are only illustrative of the technical concepts and features of the present invention, and are intended to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the scope of the present invention. All modifications made according to the spirit of the main technical scheme of the invention are covered in the protection scope of the invention.
Claims (10)
1. An intelligent mobile attendance checking method is applied to a client side and is characterized by comprising the following steps:
entering an online/offline card punching mode manually or automatically according to the current network state;
when the card is in the offline card punching mode, storing attendance related data of a current card punching point in the client in an offline mode;
matching attendance related data of the current card punching point with attendance rules in the client to obtain offline attendance condition information;
and verifying whether the offline attendance status information is valid or not, rejecting abnormal card punching data, and storing normal card punching data into an attendance result table.
2. The intelligent mobile attendance method of claim 1 wherein the step of verifying whether the offline attendance status information is valid comprises:
and calling the front camera of the client to carry out self-shooting, calling the rear camera to shoot surrounding buildings, identifying photos shot by the front camera and the rear camera simultaneously, and determining whether cheating occurs.
3. The intelligent mobile attendance method of claim 2 wherein the step of verifying whether the offline attendance status information is valid further comprises:
and verifying whether the offline attendance checking condition information is valid or not by comparing the offline card punching equipment with the current allowable card punching equipment, whether software for modifying the GPS position by a third party is started in the successful card punching process and whether the time difference between the time for entering the offline card punching page and the successful card punching process exceeds the maximum threshold value.
4. The intelligent mobile attendance method of claim 3 further comprising:
and independently storing the abnormal card punching data, adjusting according to subsequent employee feedback data, and storing the adjusted normal card punching data into an attendance result table.
5. The intelligent mobile attendance method of claim 3 further comprising: and uploading the card punching data to a server when the network state meets the transmission requirement.
6. The utility model provides an intelligent movement attendance device, is applied to the customer end, and its characterized in that, the device includes:
the intelligent network detection module can enter an online/offline card punching mode manually or automatically according to the current network state;
the offline storage module stores attendance related data of a current card punching point in the client offline when the offline card punching mode is in;
the offline matching module is used for matching the attendance related data of the current card punching point with the attendance rules in the client to obtain offline attendance condition information;
and the data verification module is used for verifying whether the offline attendance status information is valid or not, rejecting abnormal card punching data and storing normal card punching data into an attendance result table.
7. The intelligent mobile attendance device of claim 6, further comprising:
and the photographing module is used for calling the front camera of the client to perform self photographing, calling the rear camera to photograph surrounding buildings, identifying photos shot by the front camera and the rear camera simultaneously, and determining whether cheating occurs.
8. The intelligent mobile attendance device of claim 7, further comprising:
and the data verification module is used for verifying whether the offline attendance status information is valid or not by comparing the offline card punching equipment with the current allowable card punching equipment, whether software for modifying the GPS position by a third party is started in the successful card punching process and whether the time difference between the time for entering the offline card punching page and the successful card punching exceeds the maximum threshold value or not.
9. The intelligent mobile attendance device of claim 8, further comprising:
an anomaly monitoring module: the system is used for storing offline data, so that a manager can conveniently check suspected cheating data and know the real card punching condition of an employee in time;
a data adjusting module: the method is used for the administrator to adjust the suspected cheating data in time and restore the suspected data into normal data according to the feedback and actual conditions of the staff.
10. The intelligent mobile attendance device of claim 9, further comprising:
and the intelligent network detection module uploads the card punching data to the server when the network state meets the transmission requirement.
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| CN111882692B (en) | 2023-04-18 |
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