CN111210202A - Method for judging abnormal attendance data - Google Patents
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Abstract
The invention discloses a method for judging abnormal attendance data, which comprises the following steps: acquiring position information and time information of a mobile terminal at a first time; acquiring position information and time information when a mobile terminal submits an attendance checking request to an attendance checking terminal for the first time; obtaining the interval time and the interval distance between two times of acquired position information according to the position information and the time information of the mobile terminal at the first time and the position information and the time information of the user when submitting the attendance checking request; calculating the movement rate of the user according to the interval time and the interval distance; and judging whether the attendance data are abnormal or not according to the moving speed. The invention can ensure the attendance data to be real and prevent personnel from submitting the card punching information by means of a simulator and the like.
Description
Technical Field
The invention relates to the field of intelligent attendance, in particular to a method for judging abnormal attendance data.
Background
With the popularization of mobile phone applications, various office apps provide applications of mobile phone attendance checking. However, in order to avoid normal attendance management, the user may submit false attendance information by using a method such as a colleague mobile phone or geographical location simulation software. Therefore, abnormal data such as simulation software and colleagues' mobile phone card punching needs to be analyzed and identified, and an alarm needs to be given to a manager.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, the present invention is directed to a method for determining abnormal attendance data, which is used to solve the shortcomings of the prior art.
In order to achieve the above and other related objects, the present invention provides a method for determining abnormal attendance data, which is applied to an attendance system, wherein the attendance system comprises a mobile terminal and an attendance terminal, and the method comprises:
acquiring position information and time information of a mobile terminal at a first time;
acquiring position information and time information when a mobile terminal submits an attendance checking request to an attendance checking terminal for the first time;
obtaining the interval time and the interval distance between two times of acquired position information according to the position information and the time information of the mobile terminal at the first time and the position information and the time information of the user when submitting the attendance checking request;
calculating the movement rate of the user according to the interval time and the interval distance;
and judging whether the attendance data are abnormal or not according to the moving speed.
Optionally, calculating a moving speed of the user according to the interval time and the interval distance; the method comprises the following steps:
assuming that the Longitude and Latitude of the first point a is (LonA, LatA), the Longitude and Latitude of the second point B is (LonB, LatB), the east Longitude takes a positive Longitude value (Longitude), the west Longitude takes a negative Longitude value (Longitude), the north Latitude takes a 90-Latitude value (90-Latitude), and the south Latitude takes a 90+ Latitude value (90+ Latitude), the two processed points are (MLonA, mlataa) and (MLonB, MLatB), and the following formula of the distance between the two points of the first point a and the second point B is given:
T＝sin(MLatA)*sin(MLatB)*cos(MLonA-MLonB)+cos(MLatA)*cos(MLatB)
spacing distance R arccos (t) Pi/180;
interval time-the time at the second point B-the time at the first point a;
the user moving rate is the distance/time interval.
Optionally, the determining whether the attendance data is abnormal according to the user movement rate includes:
judging whether the user moving speed exceeds a set threshold value or not; if the attendance data exceeds the preset value, the attendance data is abnormal, otherwise, the attendance data is normal.
Optionally, the method further comprises:
acquiring equipment information of a user when submitting an attendance request for the first time and when submitting the attendance request for the second time, wherein the equipment is used for submitting the attendance request, the equipment information comprises an equipment unique identifier, and the equipment unique identifier is associated with a user identifier;
and judging whether the attendance data is abnormal or not according to the unique equipment identifier of the user when submitting the attendance request for the first time and the unique equipment identifier when submitting the attendance request for the second time.
Optionally, the determining whether the attendance data is abnormal according to the unique identifier of the device when the user submits the attendance request for the first time and the unique identifier of the device when the user submits the attendance request for the second time includes:
if the unique equipment identifier of the user is different when the user submits the attendance checking request for the first time and when the user submits the attendance checking request for the second time, the attendance checking data is abnormal, otherwise, the attendance checking data is normal.
Optionally, the method further comprises:
the method comprises the steps of obtaining attendance data when a certain user submits attendance requests in a certain time period and all users, wherein the attendance data comprises a user identification and an equipment identification, and the user identification is uniquely bound with the equipment identification;
if the user with the same equipment identification as that of the user exists in the attendance data of other users of the user, which is not included, the attendance data is abnormal, otherwise, the attendance data is normal.
Optionally, the attendance checking terminal has a unique identifier and a valid attendance checking area, and the mobile terminal stores a list including a plurality of identity information;
when a user submits attendance data, the attendance terminal acquires the list comprising the plurality of identity information;
if the list comprising the plurality of identity information contains the unique identifier of the attendance checking terminal, judging whether the attendance checking data is abnormal according to the position of the mobile terminal.
Optionally, the determining whether the attendance data is abnormal according to the position of the mobile terminal includes:
judging whether the mobile terminal is located in the effective attendance checking area or not; if the attendance checking area is in the effective attendance checking area, the attendance checking data are normal, otherwise, the attendance checking data are abnormal.
Optionally, if the list does not include the unique identifier of the attendance terminal, the attendance data is abnormal.
Optionally, the attendance checking terminal includes a wireless communication module, and the unique identifier includes a Mac address of the wireless communication module.
As described above, the method for judging abnormal attendance data of the present invention has the following beneficial effects:
the invention monitors abnormal data from multiple dimensions, can ensure the attendance data to be real, and prevents personnel from submitting the card punching information by means of a simulator, enabling colleagues to use mobile phone equipment to punch cards, modifying router hardware cheating and the like.
Drawings
Fig. 1 is a schematic structural diagram of an attendance system according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for determining abnormal attendance data according to an embodiment of the present invention;
fig. 3 is a flowchart of a method for determining abnormal attendance data according to another embodiment of the present invention;
fig. 4 is a flowchart of a method for determining abnormal attendance data according to another embodiment of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Fig. 1 is a schematic structural diagram of an attendance system, which includes an attendance terminal and a mobile terminal, and the mobile terminal may also be called a user in the present invention. The attendance checking end can be a personal computer or software loaded on the personal computer, and the mobile end can be a smart phone or a software module loaded on the smart phone. The mobile terminal can additionally submit GPS geographic position information and time information when a user initiates a general service request; the attendance checking terminal can additionally receive GPS geographic position information and time information submitted by the mobile terminal when a user initiates a general service request; and periodically receiving the GPS geographic position information and the mobile phone equipment information when the user does not actively initiate a service request or the mobile terminal runs a program process in the background.
Example one
As shown in fig. 2, the present invention provides a method for determining abnormal attendance data, which is applied to an attendance system, wherein the attendance system includes a mobile terminal and an attendance terminal, and the method includes:
s21, acquiring position information and time information of the mobile terminal at a first time; the position information comprises longitude and latitude;
selecting a request as a request received at a first time from the received GPS geographical position information and time information periodically submitted by the mobile terminal, wherein the request comprises the position information and the time information at the first time;
s22, acquiring position information and time information when the mobile terminal submits an attendance checking request to the attendance checking terminal for the first time;
the first time is before the time of submitting the attendance request, and the interval between the position information acquired at the first time and the time of submitting the attendance request by the user is less than 5 minutes, for example, may be 2 minutes.
S23, obtaining the interval time and the interval distance between two pieces of acquired position information according to the position information and the time information of the mobile terminal at the first time and the position information and the time information of the user when submitting the attendance checking request;
the interval time is equal to the time information obtained by subtracting the first time from the time information obtained by submitting attendance, and the interval distance is the position information obtained by subtracting the position information of the user at the first time from the position information obtained by submitting attendance;
s24, calculating the moving speed of the user according to the interval time and the interval distance;
in an embodiment, obtaining the user moving rate according to the interval time and the interval distance includes:
assuming that the Longitude and Latitude of the first point a is (LonA, LatA), the Longitude and Latitude of the second point B is (LonB, LatB), the east Longitude takes a positive Longitude value (Longitude), the west Longitude takes a negative Longitude value (Longitude), the north Latitude takes a 90-Latitude value (90-Latitude), and the south Latitude takes a 90+ Latitude value (90+ Latitude), the two processed points are (MLonA, mlataa) and (MLonB, MLatB), and the following formula of the distance between the two points of the first point a and the second point B is given:
T＝sin(MLatA)*sin(MLatB)*cos(MLonA-MLonB)+cos(MLatA)*cos(MLatB)
the separation distance R is arccos (t) Pi/180, wherein R is the radius of the earth, specifically 6378.140 km, and Pi is the circumference ratio, specifically 3.141592653589793;
interval time-the time at the second point B-the time at the first point a;
the user moving rate is the distance/time interval.
And S25, judging whether the attendance data are abnormal or not according to the user moving rate. Specifically, the judging whether the attendance data is abnormal according to the user moving rate includes:
judging whether the user moving speed exceeds a set threshold value or not; if the attendance data exceeds the preset value, the attendance data is abnormal, otherwise, the attendance data is normal.
Of course, the position information of the user at the second time can also be acquired;
after the time of submitting the attendance request at the second time, the interval between the position information acquired at the second time and the time of submitting the attendance request by the user is less than 5 minutes, and may be 2 minutes, for example.
And judging whether the attendance data is abnormal or not by adopting the similar method through the time information and the position information when submitting the attendance request and the position information and the time information acquired at the second time.
The set threshold of the user movement rate can be set to 80 km/h, and if the set threshold exceeds the value, the user movement rate is determined to be not in accordance with the daily normal user movement behavior, and the user movement rate is determined to be abnormal data.
For example, when a certain user submits an attendance request for the first time to complete card punching, the attendance data can be considered to be normal; however, if the user uses the simulation software to complete the card punching behavior, the attendance data can also be considered to be normal, but the user is not actually in the card punching range. Thus, there is no way to distinguish whether a card punch is actually done. The invention periodically acquires the position information and the time information of the user, and obtains the moving speed of the user through the position information and the time information to judge whether the attendance data is normal or not. If the user closes the simulation software, the real position information of the user can be acquired, so that the movement rate which can be calculated according to the data acquired last time and the data acquired this time exceeds the movement behavior of a normal user, and the attendance data can be considered to be abnormal.
In one embodiment, the position information can be collected for a plurality of times before the time of submitting the attendance checking request and after the time of submitting the attendance checking request, and the data accuracy is improved through the collection for a plurality of times.
Example two
As shown in fig. 3, in an embodiment, a method for determining abnormal attendance data further includes:
s31 obtains device information of the user when submitting the attendance request for the first time and when submitting the attendance request for the second time, where the device is used to submit the attendance request, and the device information includes a device unique identifier, and the device unique identifier is associated with the user identifier.
The unique identifier of the equipment is associated with the user, so that the unique user can be identified through the unique identifier of the equipment, and if the user associated with the unique identifier changes, the attendance data can be considered to be abnormal; the device unique identifier refers to information uniquely identifying the mobile terminal, and may be, for example, an international identity code IMEI of the mobile terminal. Preferentially obtaining the service through MidService, if the service is empty, judging whether the service has authority, if so, obtaining deviceID through TelephonyManager of the system, and if not, generating random UUID.
And S32, judging whether the attendance data is abnormal according to the unique equipment identifier when the user submits the attendance request for the first time and the unique equipment identifier when the user submits the attendance request for the second time.
Specifically, the determining whether the attendance data is abnormal according to the unique identifier of the device when the user submits the attendance request for the first time and the unique identifier of the device when the user submits the attendance request for the second time includes:
if the unique equipment identifier of the user is different when the user submits the attendance checking request for the first time and when the user submits the attendance checking request for the second time, the attendance checking data is abnormal, otherwise, the attendance checking data is normal.
For example, after the user a completes card punching for the first time, the attendance checking terminal records the account of the user and the identifier uniquely bound with the account. When the user B finishes the card punching by utilizing the own equipment, the attendance checking end records the account information of the user A and the unique identifier of the equipment of the user B, so that the condition that the user A finds the card punching on behalf of the person can be judged, and the attendance checking data is abnormal.
EXAMPLE III
As shown in fig. 4, in an embodiment, the method for determining abnormal attendance data further includes:
s41, obtaining attendance data of a certain user when submitting an attendance request in a certain time period and all users, wherein the attendance data comprises a user identifier and an equipment identifier, and the user identifier is uniquely bound with the equipment identifier;
the user identifier is account information of the user, and the device unique identifier refers to information uniquely identifying the mobile terminal, and may be, for example, a telephone number, an international identity code IMEI of the mobile terminal, or the like.
S42 indicates that the attendance data is abnormal if a user having the same device identifier as the certain user exists in the attendance data of the other user of the certain user, which is not included in the attendance data, and otherwise indicates that the attendance data is normal.
Example four
In an embodiment, a method for determining abnormal attendance data is used in an attendance system as shown in fig. 1.
Fig. 1 is a schematic structural diagram of an attendance system, which includes an attendance terminal and a mobile terminal. The attendance system comprises an attendance terminal and a mobile terminal, wherein the attendance terminal can be a personal computer or software carried on the personal computer, and the mobile terminal can be a smart phone or a software module carried on the smart phone. The mobile terminal can additionally submit GPS geographic position information and mobile phone equipment information when a user initiates a general service request; the attendance checking terminal can additionally receive GPS geographic position information and mobile phone equipment information submitted by the mobile terminal when a user initiates a general service request; when the user does not actively initiate a service request or the mobile terminal periodically receives GPS geographic position information and mobile phone equipment information when a program process is operated in the background, the equipment information can be related to account information of the user.
The attendance checking terminal is provided with a unique identifier and an effective attendance checking area, and the mobile terminal stores a list comprising a plurality of identity information;
the unique identifier is information for uniquely identifying the mobile terminal, and the effective attendance checking area is a list capable of reading a plurality of identity information of the mobile terminal; when a user submits attendance data, the attendance terminal acquires the list comprising the plurality of identity information; if the list comprising the plurality of identity information contains the unique identifier of the attendance checking terminal, judging whether the attendance checking data is abnormal according to the position of the mobile terminal.
Specifically, judging whether the attendance data is abnormal according to the position of the mobile terminal includes:
judging whether the mobile terminal is located in the effective attendance checking area or not; if the attendance checking area is in the effective attendance checking area, the attendance checking data are normal, otherwise, the attendance checking data are abnormal.
More specifically, if the list does not include the unique identifier of the attendance terminal, the attendance data is abnormal.
In one embodiment, the attendance checking terminal comprises a wireless communication module, the unique identifier comprises a Mac address of the wireless communication module, and the mobile terminal stores a list comprising a plurality of identity information, and the Mac addresses of a plurality of devices are stored in the list.
It can be understood that, when the user goes to the valid attendance checking area, the mobile terminal may be connected to the wireless communication module of the attendance checking terminal, and the attendance checking terminal reads the WLAN MAC address information of the mobile terminal and compares the WLAN MAC address information with the set WLAN MAC address information, and if the WLAN MAC address information is the same, the user may be considered to complete attendance checking. However, because the substitute card punching or the simulation by using cheating software can exist, the invention also confirms the position of the mobile terminal, judges whether the attendance data is abnormal according to the position of the mobile terminal, and if the mobile terminal is positioned outside the effective area, the attendance data can be considered to be abnormal, wherein the effective area can be set as a circular area with the radius of 300 m. The position of the mobile terminal can be the GPS position of the mobile terminal.
EXAMPLE five
In the first to fourth embodiments, there is provided a method for determining abnormal attendance data, respectively, including determining according to a movement rate; determining from the device identifier; or based on location.
It should be noted that, in another embodiment, these several methods may be combined to determine whether the attendance data is abnormal.
In an embodiment, the determination may be performed first according to the moving rate in the first embodiment, and when the data is determined to be normal, one or more combinations of the second, third, and fourth embodiments may be further employed to determine whether the attendance data is abnormal. The method of the multiple embodiments is combined to judge whether the attendance data is abnormal or not on the premise that the attendance data is judged to be abnormal in a certain mode.
In an embodiment, whether the attendance data is normal is judged by the first embodiment, if so, whether the attendance data is normal is judged by the second embodiment, and if so, the attendance data can be judged by the fourth embodiment, so that whether the attendance data is abnormal is judged.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may comprise any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a Random Access Memory (RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, etc.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. A method for judging abnormal attendance data is applied to an attendance system, wherein the attendance system comprises a mobile terminal and an attendance terminal, and the method comprises the following steps:
acquiring position information and time information of a mobile terminal at a first time;
acquiring position information and time information when a mobile terminal submits an attendance checking request to an attendance checking terminal for the first time;
obtaining the interval time and the interval distance between two times of acquired position information according to the position information and the time information of the mobile terminal at the first time and the position information and the time information of the user when submitting the attendance checking request;
calculating the movement rate of the user according to the interval time and the interval distance;
and judging whether the attendance data are abnormal or not according to the moving speed.
2. The method for judging the abnormal attendance data according to claim 1, wherein the movement rate of the user is calculated according to the interval time and the interval distance; the method comprises the following steps:
assuming that the Longitude and Latitude of the first point a is (LonA, LatA), the Longitude and Latitude of the second point B is (LonB, LatB), the east Longitude takes a positive Longitude value (Longitude), the west Longitude takes a negative Longitude value (Longitude), the north Latitude takes a 90-Latitude value (90-Latitude), and the south Latitude takes a 90+ Latitude value (90+ Latitude), the two processed points are (MLonA, mlataa) and (MLonB, MLatB), and the following formula of the distance between the two points of the first point a and the second point B is given: t ═ sin (mlata) sin (mlatb) cos (MLonA-MLonB) + cos (mlata) cos (mlatb)
Spacing distance R arccos (t) Pi/180;
interval time-the time at the second point B-the time at the first point a;
the user moving rate is the distance/time interval.
3. The method for judging the abnormal attendance data according to claim 1, wherein the judging whether the attendance data is abnormal according to the user movement rate comprises:
judging whether the user moving speed exceeds a set threshold value or not; if the attendance data exceeds the preset value, the attendance data is abnormal, otherwise, the attendance data is normal.
4. The method for judging the abnormal attendance data according to claim 1, characterized in that the method further comprises:
acquiring equipment information of a user when submitting an attendance request for the first time and when submitting the attendance request for the second time, wherein the equipment is used for submitting the attendance request, the equipment information comprises an equipment unique identifier, and the equipment unique identifier is associated with a user identifier;
and judging whether the attendance data is abnormal or not according to the unique equipment identifier of the user when submitting the attendance request for the first time and the unique equipment identifier when submitting the attendance request for the second time.
5. The method for judging the abnormal attendance data according to claim 4, wherein the judging whether the attendance data is abnormal according to the device unique identifier of the user when the attendance request is submitted for the first time and the device unique identifier of the user when the attendance request is submitted for the second time comprises the following steps:
if the unique equipment identifier of the user is different when the user submits the attendance checking request for the first time and when the user submits the attendance checking request for the second time, the attendance checking data is abnormal, otherwise, the attendance checking data is normal.
6. The method for determining abnormal attendance data according to claim 1, wherein the method further comprises:
the method comprises the steps of obtaining attendance data when a certain user submits attendance requests in a certain time period and all users, wherein the attendance data comprises a user identification and an equipment identification, and the user identification is uniquely bound with the equipment identification;
if the user with the same equipment identification as that of the user exists in the attendance data of other users of the user, which is not included, the attendance data is abnormal, otherwise, the attendance data is normal.
7. The method of claim 1, wherein the method comprises the steps of,
the attendance checking terminal is provided with a unique identifier and an effective attendance checking area, and the mobile terminal stores a list comprising a plurality of identity information;
when a user submits attendance data, the attendance terminal acquires the list comprising the plurality of identity information;
if the list comprising the plurality of identity information contains the unique identifier of the attendance checking terminal, judging whether the attendance checking data is abnormal according to the position of the mobile terminal.
8. The method for judging the abnormal attendance data according to claim 7, wherein judging whether the attendance data is abnormal according to the position of the mobile terminal comprises:
judging whether the mobile terminal is located in the effective attendance checking area or not; if the attendance checking area is in the effective attendance checking area, the attendance checking data are normal, otherwise, the attendance checking data are abnormal.
9. The method for determining the abnormal attendance data according to claim 7, wherein the attendance data is abnormal if the list does not include the unique identifier of the attendance terminal.
10. The method for judging abnormal attendance data according to claim 7, wherein the attendance terminal comprises a wireless communication module, and the unique identifier comprises a Mac address of the wireless communication module.
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| CN112530036A (en) * | 2020-11-10 | 2021-03-19 | 上海凌立健康管理股份有限公司 | Online video learning test system that punches card |
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| CN116452878A (en) * | 2023-04-20 | 2023-07-18 | 广东工业大学 | Attendance checking method and system based on deep learning algorithm and binocular vision |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112530036A (en) * | 2020-11-10 | 2021-03-19 | 上海凌立健康管理股份有限公司 | Online video learning test system that punches card |
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