CN112308995A - On-duty monitoring method, equipment and computer readable storage medium - Google Patents

On-duty monitoring method, equipment and computer readable storage medium Download PDF

Info

Publication number
CN112308995A
CN112308995A CN201910711134.7A CN201910711134A CN112308995A CN 112308995 A CN112308995 A CN 112308995A CN 201910711134 A CN201910711134 A CN 201910711134A CN 112308995 A CN112308995 A CN 112308995A
Authority
CN
China
Prior art keywords
user
shift
information
sample
duty
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
Application number
CN201910711134.7A
Other languages
Chinese (zh)
Inventor
张曼
黄永祯
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Watrix Technology Beijing Co Ltd
Original Assignee
Watrix Technology Beijing Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Watrix Technology Beijing Co Ltd filed Critical Watrix Technology Beijing Co Ltd
Priority to CN201910711134.7A priority Critical patent/CN112308995A/en
Publication of CN112308995A publication Critical patent/CN112308995A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • 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
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06398—Performance of employee with respect to a job function
    • 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

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Operations Research (AREA)
  • Marketing (AREA)
  • Educational Administration (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Development Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Game Theory and Decision Science (AREA)
  • Data Mining & Analysis (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The invention discloses an on-duty monitoring method, on-duty monitoring equipment and a computer readable storage medium. The method comprises the following steps: in the system operation process, collecting the biological characteristic information of the on-duty user at intervals of a preset time period; matching the on-duty user biological characteristic information with the sample user biological characteristic information corresponding to the acquisition time; and if the on Shift user's biometric information is matched with the biometric information of the sample user corresponding to the acquisition time, determining that the on Shift user is a normal on Shift user, otherwise, determining that the on Shift user is an abnormal on Shift user. The method and the system collect the biological characteristic information of the user on duty once every preset time period, and judge whether the user on duty is a normal user on duty or not according to the collected biological characteristic information. The biological characteristic information is difficult to imitate, so the judgment accuracy is high, and the biological characteristic information is collected once every preset time period, so that whether the on duty user is normally on duty can be determined more densely.

Description

On-duty monitoring method, equipment and computer readable storage medium
Technical Field
The present invention relates to the field of computer technologies, and in particular, to an on-duty monitoring method, an on-duty monitoring device, and a computer-readable storage medium.
Background
On some work stations, it is desirable for the user to remain on station for real-time processing of work on the station. For example: in order to ensure the safe trip of the public, staff on security inspection monitoring posts such as subways, airports, railway stations and the like need to be kept in post states before security inspection monitoring equipment so as to monitor whether passengers carry prohibited articles or not. However, currently, a mode for monitoring the user on duty is lacked, and the user cannot be supervised during working hours even if the user leaves the post or is replaced by other people.
In summary, providing an on-duty monitoring method has become a problem to be solved by those skilled in the art.
Disclosure of Invention
The invention mainly aims to provide an on Shift monitoring method, equipment and a computer readable storage medium, so as to solve the problem that the existing method for monitoring a user on Shift is lacked.
Aiming at the technical problems, the invention solves the technical problems by the following technical scheme:
the invention provides an on-duty monitoring method, which comprises the following steps: in the system operation process, collecting the biological characteristic information of the on-duty user at intervals of a preset time period; matching the on-duty user biological characteristic information with the sample user biological characteristic information corresponding to the acquisition time; and if the on Shift user's biometric information is matched with the biometric information of the sample user corresponding to the acquisition time, determining that the on Shift user is a normal on Shift user, otherwise, determining that the on Shift user is an abnormal on Shift user.
Wherein the method further comprises: when the system login is executed, the login information of the on-duty user is acquired; inquiring whether user information of the sample user matched with the login information of the on Shift user exists in a first sample user information base; wherein, the first sample user information base comprises: user information of a plurality of sample users and an on Shift time period corresponding to each sample user; if the user information of the sample user matched with the login information of the on Shift user is inquired, acquiring the on Shift time period corresponding to the sample user; otherwise, generating first abnormal on-duty information; if the acquisition time of the login information is in the on Shift time period, operating the system, otherwise, generating the first abnormal on Shift information; wherein the first abnormal on Shift information comprises: and the login information, the acquisition time and the user information of the sample user corresponding to the on Shift time period to which the acquisition time belongs.
Wherein the matching of the on Shift user's biometric information with the sample user's biometric information corresponding to the acquisition time comprises: determining the on Shift time period of the acquisition time by inquiring a second sample user information base; wherein the second sample user information base comprises: biometric information of a plurality of sample users and an on Shift time period corresponding to each of the sample users; in the second sample user information base, acquiring the biological characteristic information of all sample users corresponding to the on-duty time period to which the acquisition time belongs; matching the on-duty user biological characteristic information with the obtained biological characteristic information of all sample users; and if the biometric information of the sample user matched with the biometric information of the on Shift user exists, determining that the on Shift user is a normal on Shift user, and otherwise, determining that the on Shift user is an abnormal on Shift user.
Wherein the matching of the on Shift user's biometric information with the sample user's biometric information corresponding to the acquisition time comprises: inquiring whether the biological characteristic information of the sample user matched with the biological characteristic information of the on Shift user exists in a second sample user information base; wherein the second sample user information base comprises: biometric information of a plurality of sample users and an on Shift time period corresponding to each of the sample users; if the biological characteristic information of the sample user matched with the biological characteristic information of the on Shift user is inquired, acquiring the on Shift time period corresponding to the sample user; otherwise, determining that the on Shift user is an abnormal on Shift user; and if the acquisition time is in the on Shift time period, determining that the on Shift user is a normal on Shift user, otherwise, determining that the on Shift user is an abnormal on Shift user.
Wherein the method further comprises: if the on Shift user is determined to be an abnormal on Shift user by the continuous first preset times, stopping running the system; and/or if the on Shift user is determined to be an abnormal on Shift user for the second preset number of consecutive times, sending an alarm prompt message; wherein the first preset times is less than the second preset times.
Wherein the method further comprises: if the on Shift user is determined to be an abnormal on Shift user, acquiring the user information of the abnormal on Shift user and the user information of the sample user corresponding to the acquisition time; and generating second abnormal on-duty information according to the user information of the abnormal on-duty user, the acquisition time and the user information of the sample user corresponding to the acquisition time.
If the biological characteristic information of the user on duty is not acquired, acquiring the user information of the sample user corresponding to the acquisition time; and generating third abnormal on-duty information according to the acquisition time and the user information of the sample user corresponding to the acquisition time.
Wherein the type of the biometric information comprises: face feature information, gait feature information, iris feature information and fingerprint feature information.
The invention provides on-duty monitoring equipment, which comprises a processor and a memory, wherein the processor is used for processing the on-duty monitoring equipment; the processor is used for executing the on Shift monitoring program stored in the memory to realize the on Shift monitoring method.
The present invention provides a computer readable storage medium having one or more programs stored thereon which are executable by one or more processors to implement the on Shift monitoring method described above.
The invention has the following beneficial effects:
the method and the system collect the biological characteristic information of the user on duty once every preset time period, and judge whether the user on duty is a normal user on duty or not according to the collected biological characteristic information. The biological characteristic information is difficult to imitate, so the judgment accuracy is high, and the biological characteristic information is collected once every preset time period, so that whether the on duty user is normally on duty can be determined more densely.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of an on Shift monitoring method according to a first embodiment of the present invention;
FIG. 2 is a flow chart of an on Shift monitoring method according to a second embodiment of the present invention;
FIG. 3 is a flow chart of an on Shift monitoring method according to a third embodiment of the present invention;
FIG. 4 is a flow chart of an on Shift monitoring method according to a fourth embodiment of the present invention;
fig. 5 is a block diagram of an on Shift monitoring device according to a fifth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.
Example one
According to an embodiment of the invention, an on Shift monitoring method is provided. Fig. 1 is a flow chart of an on Shift monitoring method according to a first embodiment of the present invention.
And step S110, in the system operation process, collecting the biological characteristic information of the on-duty user every other preset time period.
The system refers to a system where the on-duty monitoring function is located.
An on Shift user is a user that currently has control over the system. For example: and operating the user of the security check monitoring system on the security check monitoring post.
The categories of biometric information include, but are not limited to: face feature information, gait feature information, iris feature information and fingerprint feature information.
In this embodiment, in the system operation process, the biometric acquisition device arranged on the device where the system is located is called once every preset time period, and the biometric information of the on-duty user is acquired once. The embodiment preferably collects face feature information of the on duty user.
In particular, the types of biometric acquisition devices include, but are not limited to, cameras and fingerprint collectors. A camera can be called to collect face characteristic information, gait characteristic information and/or iris characteristic information of the user on duty; and/or, a fingerprint collector can be called to collect fingerprint characteristic information of the on-duty user. The camera and the fingerprint collector can be arranged on the equipment where the system is arranged.
For example: the camera may be mounted on a display of the device in which the system is located, the field of view of the camera being directly in front of the display. For another example: the fingerprint collector can be arranged on a mouse of a device where the system is arranged.
And step S120, matching the on Shift user 'S biological characteristic information with the sample user' S biological characteristic information corresponding to the acquisition time.
The collection time refers to the time when the biological characteristic information of the user on duty is collected. In this embodiment, each time the on Shift user's biometric information is collected, the on Shift user's biometric information is matched with the sample user's biometric information corresponding to the collection time.
Sample users refer to normal on Shift users, i.e., users that should be on Shift at the current time. The number of the biometric information of the sample user corresponding to the acquisition time may be one or more. For example: in the same on duty time period, a plurality of employees are arranged at one post, so that the employees can replace to have a rest.
In this embodiment, before the collection of the on Shift user's biometric information, the sample user's biometric information is collected, the on Shift time period of the sample user is determined, and the sample user's biometric information is stored in correspondence with the sample user's on Shift time period. And determining an on Shift time period containing the acquisition time, and taking the biological characteristic information of the sample user corresponding to the on Shift time period as the biological characteristic information of the sample user corresponding to the acquisition time.
Step S130, judging whether the on duty user biological characteristic information is matched with the biological characteristic information of the sample user corresponding to the acquisition time; if yes, go to step S140; if not, step S150 is executed.
In this embodiment, the similarity between the biometric information of the on duty user and the biometric information of the sample user corresponding to the collection time may be calculated, and if the similarity is greater than a preset similarity threshold, it is determined that the biometric information of the on duty user matches the biometric information of the sample user corresponding to the collection time, otherwise, it is determined that the biometric information of the on duty user does not match the biometric information of the sample user corresponding to the collection time.
If the number of the biometric information of the sample user corresponding to the collection time is multiple, the biometric information of one sample user is matched with the biometric information of the on Shift user, and the biometric information of the on Shift user can be determined to be matched with the biometric information of the sample user corresponding to the collection time.
Step S140, if the biometric information of the user on duty is matched with the biometric information of the sample user corresponding to the acquisition time, determining that the user on duty is a normal user on duty.
A normal on Shift user refers to a normal on Shift user, i.e., an on Shift user is normally on Shift during its corresponding on Shift time period.
Step S150, if the biological characteristic information of the user on duty is not matched with the biological characteristic information of the sample user corresponding to the acquisition time, determining that the user on duty is an abnormal user on duty.
An abnormal on Shift user refers to an abnormal on Shift user, i.e., an on Shift user is not normally on Shift during its corresponding on Shift time period.
If the on Shift user is determined to be an abnormal on Shift user, the background can be notified, and the information of the abnormal on Shift user and the information of the user who should be on Shift can be notified to the background.
In the embodiment, the biometric information of the on Shift user is collected once every preset time period, so that whether the on Shift user is an abnormal on Shift user can be judged once every preset time period. Further, if the on Shift user is determined to be an abnormal on Shift user for a first preset number of consecutive times, stopping running the system; and/or if the on Shift user is determined to be an abnormal on Shift user for the second preset number of consecutive times, sending an alarm prompt message; wherein the first preset times is less than the second preset times. In order to ensure the safety of the system, the first preset number and the second preset number may be set as small as possible, for example: the first preset number of times is set to 1 time, and the second preset number of times is set to 2 times.
In this embodiment, the biometric information of the on Shift user is collected once every preset time period, and whether the on Shift user is a normal on Shift user is determined according to the collected biometric information. The biological characteristic information is difficult to imitate, so the judgment accuracy is high, and the biological characteristic information is collected once every preset time period, so that whether the on duty user is normally on duty can be determined more densely.
Example two
When the system login is executed, the on Shift user monitoring can be executed, and whether the on Shift user logging in the system is legal or not is determined.
Fig. 2 is a flowchart of an on Shift monitoring method according to a second embodiment of the present invention.
Step S210, when the system is logged in, the login information of the on Shift user is acquired.
The login information includes: a user name and password; alternatively, the login information includes: biometric information of the on Shift user.
Step S220, inquiring whether the user information of the sample user matched with the login information of the on Shift user exists in a first sample user information base; if yes, go to step S230; if not, step S270 is executed.
The first sample user information base comprises: user information of a plurality of sample users and an on Shift time period corresponding to each of the sample users.
User information, including but not limited to: user basic information and biometric information.
User basic information, including but not limited to: user name, password, user name, user post.
Step S230, if the user information of the sample user matched with the login information of the on Shift user is inquired, the on Shift time period corresponding to the sample user is obtained.
When the login information includes the username and password of the on Shift user, if the username and password of the sample user are the same as the username and password of the on Shift user, then it is determined that the login information of the on Shift user matches the user information of the sample user.
When the login information includes the on Shift user's biometric information, if the similarity of the sample user's biometric information and the on Shift user's biometric information is greater than a similarity threshold, then it is determined that the on Shift user's login information matches the sample user's user information.
After the fact that the login information of the on Shift user is matched with the user information of the sample user is determined, the on Shift time period corresponding to the sample user of which the user information is matched with the login information of the on Shift user is obtained in the first sample user information base.
Step S240, judging whether the acquisition time of the login information is in the on Shift time period; if yes, go to step S250; if not, step S260 is performed.
Step S250, operating the system.
And if the acquisition time of the login information is in the on Shift time period, operating the system.
And step S260, generating first abnormal on-Shift information.
And if the acquisition time of the login information is not in the on Shift time period, generating the first abnormal on Shift information.
And if the user information of the sample user matched with the login information of the on Shift user is not inquired, generating first abnormal on Shift information.
First anomalous on Shift information comprising: and the login information, the acquisition time and the user information of the sample user corresponding to the on Shift time period to which the acquisition time belongs. Wherein, the acquisition time refers to the time for acquiring the login information of the on Shift user.
EXAMPLE III
This embodiment provides a more detailed on-duty monitoring method. Fig. 3 is a flowchart of an on Shift monitoring method according to a third embodiment of the present invention.
And S310, acquiring the biological characteristic information of the user on duty every other preset time period in the system operation process.
Step S320, judging whether the biological characteristic information of the on-duty user is acquired; if yes, go to step S330; if not, step S390 is performed.
And step S330, determining the on Shift time period of the acquisition time by inquiring a second sample user information base.
In the second sample user information base, comprising: biometric information of a plurality of sample users and a corresponding on Shift time period for each of the sample users.
The first sample user information base and the second sample user information base may be merged into one sample user information base. That is, the merged sample user information library includes: user information of a plurality of sample users and an on Shift time period corresponding to each of the sample users. The user information includes, but is not limited to: user basic information and biometric information.
Step S340, obtaining the biological feature information of all sample users corresponding to the on-duty time period to which the collection time belongs from the second sample user information base.
And inquiring the on Shift time period containing the acquisition time in a second sample user information base, and acquiring the biological characteristic information of all sample users corresponding to the inquired on Shift time period.
And step S350, matching the biological characteristic information of the on Shift users with the obtained biological characteristic information of all the sample users.
Step S360, judging whether the biological characteristic information of the sample user matched with the biological characteristic information of the on Shift user exists or not; if so, go to step S370; if not, step S380 is executed.
Step S370, if the sample user 'S biometric information matched with the on Shift user' S biometric information exists, determining that the on Shift user is a normal on Shift user.
Step S380, if the biometric information of the sample user matched with the biometric information of the on Shift user does not exist, determining that the on Shift user is an abnormal on Shift user.
If the on Shift user is determined to be an abnormal on Shift user, acquiring the user information of the abnormal on Shift user and the user information of the sample user corresponding to the acquisition time; and generating second abnormal on-duty information according to the user information of the abnormal on-duty user, the acquisition time and the user information of the sample user corresponding to the acquisition time.
Second exception on Shift information, including but not limited to: and the user information of the abnormal on-duty user, the acquisition time and the user information of the sample user corresponding to the acquisition time. Wherein, the collection time refers to the time for collecting the biological characteristic information of the user on duty.
Step 390, if the biological characteristic information of the user on duty is not collected, obtaining the user information of the sample user corresponding to the collection time; and generating third abnormal on-duty information according to the acquisition time and the user information of the sample user corresponding to the acquisition time.
Third unusual on Shift information, including but not limited to: and the acquisition time and the user information of the sample user corresponding to the acquisition time. Wherein, the collection time refers to the time for collecting the biological characteristic information of the user on duty.
Example four
This embodiment presents another more detailed on Shift monitoring method. Fig. 4 is a flowchart of an on Shift monitoring method according to a fourth embodiment of the present invention.
And step S410, in the system operation process, collecting the biological characteristic information of the on-duty user at intervals of a preset time period.
Step S420, judging whether the biological characteristic information of the on-duty user is acquired; if yes, go to step S430; if not, step S470 is performed.
Step S430, inquiring whether the sample user biological characteristic information matched with the on Shift user biological characteristic information exists in a second sample user information base; if yes, go to step S440; if not, step S470 is performed.
In the second sample user information base, including: biometric information of a plurality of sample users and a corresponding on Shift time period for each of the sample users.
Step S440, if the biological characteristic information of the sample user matched with the biological characteristic information of the on Shift user is inquired, acquiring the on Shift time period corresponding to the sample user.
Step S450, judging whether the acquisition time is in the on-duty time period; if yes, go to step S460; if not, step S470 is performed.
And step S460, determining that the user on Shift is a normal user on Shift.
And if the acquisition time is in the on Shift time period, indicating that the on Shift user is normally on Shift, and determining that the on Shift user is a normal on Shift user.
And step S470, determining that the on Shift user is an abnormal on Shift user.
If the collection time is not in the on Shift time period, indicating that the on Shift user should not be on Shift in the current collection time, and determining that the on Shift user is an abnormal on Shift user.
And if the biometric information of the sample user matched with the biometric information of the on Shift user is not inquired, determining that the on Shift user is an abnormal on Shift user.
If the on Shift user is determined to be an abnormal on Shift user, acquiring the user information of the abnormal on Shift user and the user information of the sample user corresponding to the acquisition time; and generating second abnormal on-duty information according to the user information of the abnormal on-duty user, the acquisition time and the user information of the sample user corresponding to the acquisition time.
EXAMPLE five
The embodiment provides on-duty monitoring equipment. Fig. 5 is a block diagram of an on duty monitoring apparatus according to a fifth embodiment of the present invention.
The on-duty monitoring equipment includes but is not limited to: processor 510, memory 520.
The processor 510 is configured to execute the on Shift monitoring program stored in the memory 520 to implement the on Shift monitoring method described above.
Specifically, the processor 510 is configured to execute the on Shift monitoring program stored in the memory 520 to implement the following steps: in the system operation process, collecting the biological characteristic information of the on-duty user at intervals of a preset time period; matching the on-duty user biological characteristic information with the sample user biological characteristic information corresponding to the acquisition time; and if the on Shift user's biometric information is matched with the biometric information of the sample user corresponding to the acquisition time, determining that the on Shift user is a normal on Shift user, otherwise, determining that the on Shift user is an abnormal on Shift user.
Wherein the method further comprises: when the system login is executed, the login information of the on-duty user is acquired; inquiring whether user information of the sample user matched with the login information of the on Shift user exists in a first sample user information base; wherein, the first sample user information base comprises: user information of a plurality of sample users and an on Shift time period corresponding to each sample user; if the user information of the sample user matched with the login information of the on Shift user is inquired, acquiring the on Shift time period corresponding to the sample user; otherwise, generating first abnormal on-duty information; if the acquisition time of the login information is in the on Shift time period, operating the system, otherwise, generating the first abnormal on Shift information; wherein the first abnormal on Shift information comprises: and the login information, the acquisition time and the user information of the sample user corresponding to the on Shift time period to which the acquisition time belongs.
Wherein the matching of the on Shift user's biometric information with the sample user's biometric information corresponding to the acquisition time comprises: determining the on Shift time period of the acquisition time by inquiring a second sample user information base; wherein the second sample user information base comprises: biometric information of a plurality of sample users and an on Shift time period corresponding to each of the sample users; in the second sample user information base, acquiring the biological characteristic information of all sample users corresponding to the on-duty time period to which the acquisition time belongs; matching the on-duty user biological characteristic information with the obtained biological characteristic information of all sample users; and if the biometric information of the sample user matched with the biometric information of the on Shift user exists, determining that the on Shift user is a normal on Shift user, and otherwise, determining that the on Shift user is an abnormal on Shift user.
Wherein the matching of the on Shift user's biometric information with the sample user's biometric information corresponding to the acquisition time comprises: inquiring whether the biological characteristic information of the sample user matched with the biological characteristic information of the on Shift user exists in a second sample user information base; wherein the second sample user information base comprises: biometric information of a plurality of sample users and an on Shift time period corresponding to each of the sample users; if the biological characteristic information of the sample user matched with the biological characteristic information of the on Shift user is inquired, acquiring the on Shift time period corresponding to the sample user; otherwise, determining that the on Shift user is an abnormal on Shift user; and if the acquisition time is in the on Shift time period, determining that the on Shift user is a normal on Shift user, otherwise, determining that the on Shift user is an abnormal on Shift user.
Wherein the method further comprises: if the on Shift user is determined to be an abnormal on Shift user by the continuous first preset times, stopping running the system; and/or if the on Shift user is determined to be an abnormal on Shift user for the second preset number of consecutive times, sending an alarm prompt message; wherein the first preset times is less than the second preset times.
Wherein the method further comprises: if the on Shift user is determined to be an abnormal on Shift user, acquiring the user information of the abnormal on Shift user and the user information of the sample user corresponding to the acquisition time; and generating second abnormal on-duty information according to the user information of the abnormal on-duty user, the acquisition time and the user information of the sample user corresponding to the acquisition time.
If the biological characteristic information of the user on duty is not acquired, acquiring the user information of the sample user corresponding to the acquisition time; and generating third abnormal on-duty information according to the acquisition time and the user information of the sample user corresponding to the acquisition time.
Wherein the type of the biometric information comprises: face feature information, gait feature information, iris feature information and fingerprint feature information.
EXAMPLE six
The embodiment of the invention also provides a computer readable storage medium. The computer-readable storage medium herein stores one or more programs. Among other things, computer-readable storage media may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, a hard disk, or a solid state disk; the memory may also comprise a combination of memories of the kind described above.
When the one or more programs in the computer readable storage medium are executable by the one or more processors to implement the on Shift monitoring method described above.
Specifically, the processor is configured to execute an on Shift monitoring program stored in the memory to implement the steps of: in the system operation process, collecting the biological characteristic information of the on-duty user at intervals of a preset time period; matching the on-duty user biological characteristic information with the sample user biological characteristic information corresponding to the acquisition time; and if the on Shift user's biometric information is matched with the biometric information of the sample user corresponding to the acquisition time, determining that the on Shift user is a normal on Shift user, otherwise, determining that the on Shift user is an abnormal on Shift user.
Wherein the method further comprises: when the system login is executed, the login information of the on-duty user is acquired; inquiring whether user information of the sample user matched with the login information of the on Shift user exists in a first sample user information base; wherein, the first sample user information base comprises: user information of a plurality of sample users and an on Shift time period corresponding to each sample user; if the user information of the sample user matched with the login information of the on Shift user is inquired, acquiring the on Shift time period corresponding to the sample user; otherwise, generating first abnormal on-duty information; if the acquisition time of the login information is in the on Shift time period, operating the system, otherwise, generating the first abnormal on Shift information; wherein the first abnormal on Shift information comprises: and the login information, the acquisition time and the user information of the sample user corresponding to the on Shift time period to which the acquisition time belongs.
Wherein the matching of the on Shift user's biometric information with the sample user's biometric information corresponding to the acquisition time comprises: determining the on Shift time period of the acquisition time by inquiring a second sample user information base; wherein the second sample user information base comprises: biometric information of a plurality of sample users and an on Shift time period corresponding to each of the sample users; in the second sample user information base, acquiring the biological characteristic information of all sample users corresponding to the on-duty time period to which the acquisition time belongs; matching the on-duty user biological characteristic information with the obtained biological characteristic information of all sample users; and if the biometric information of the sample user matched with the biometric information of the on Shift user exists, determining that the on Shift user is a normal on Shift user, and otherwise, determining that the on Shift user is an abnormal on Shift user.
Wherein the matching of the on Shift user's biometric information with the sample user's biometric information corresponding to the acquisition time comprises: inquiring whether the biological characteristic information of the sample user matched with the biological characteristic information of the on Shift user exists in a second sample user information base; wherein the second sample user information base comprises: biometric information of a plurality of sample users and an on Shift time period corresponding to each of the sample users; if the biological characteristic information of the sample user matched with the biological characteristic information of the on Shift user is inquired, acquiring the on Shift time period corresponding to the sample user; otherwise, determining that the on Shift user is an abnormal on Shift user; and if the acquisition time is in the on Shift time period, determining that the on Shift user is a normal on Shift user, otherwise, determining that the on Shift user is an abnormal on Shift user.
Wherein the method further comprises: if the on Shift user is determined to be an abnormal on Shift user by the continuous first preset times, stopping running the system; and/or if the on Shift user is determined to be an abnormal on Shift user for the second preset number of consecutive times, sending an alarm prompt message; wherein the first preset times is less than the second preset times.
Wherein the method further comprises: if the on Shift user is determined to be an abnormal on Shift user, acquiring the user information of the abnormal on Shift user and the user information of the sample user corresponding to the acquisition time; and generating second abnormal on-duty information according to the user information of the abnormal on-duty user, the acquisition time and the user information of the sample user corresponding to the acquisition time.
If the biological characteristic information of the user on duty is not acquired, acquiring the user information of the sample user corresponding to the acquisition time; and generating third abnormal on-duty information according to the acquisition time and the user information of the sample user corresponding to the acquisition time.
Wherein the type of the biometric information comprises: face feature information, gait feature information, iris feature information and fingerprint feature information.
The above description is only an example of the present invention, and is not intended to limit the present invention, and it is obvious to those skilled in the art that various modifications and variations can be made in the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims (10)

1. An on-duty monitoring method, comprising:
in the system operation process, collecting the biological characteristic information of the on-duty user at intervals of a preset time period;
matching the on-duty user biological characteristic information with the sample user biological characteristic information corresponding to the acquisition time;
and if the on Shift user's biometric information is matched with the biometric information of the sample user corresponding to the acquisition time, determining that the on Shift user is a normal on Shift user, otherwise, determining that the on Shift user is an abnormal on Shift user.
2. The method of claim 1, further comprising:
when the system login is executed, the login information of the on-duty user is acquired;
inquiring whether user information of the sample user matched with the login information of the on Shift user exists in a first sample user information base; wherein, the first sample user information base comprises: user information of a plurality of sample users and an on Shift time period corresponding to each sample user;
if the user information of the sample user matched with the login information of the on Shift user is inquired, acquiring the on Shift time period corresponding to the sample user; otherwise, generating first abnormal on-duty information;
if the acquisition time of the login information is in the on Shift time period, operating the system, otherwise, generating the first abnormal on Shift information;
wherein the first abnormal on Shift information comprises: and the login information, the acquisition time and the user information of the sample user corresponding to the on Shift time period to which the acquisition time belongs.
3. The method of claim 1, wherein matching the on Shift user's biometric information with the sample user's biometric information corresponding to the collection time comprises:
determining the on Shift time period of the acquisition time by inquiring a second sample user information base; wherein the second sample user information base comprises: biometric information of a plurality of sample users and an on Shift time period corresponding to each of the sample users;
in the second sample user information base, acquiring the biological characteristic information of all sample users corresponding to the on-duty time period to which the acquisition time belongs;
matching the on-duty user biological characteristic information with the obtained biological characteristic information of all sample users;
and if the biometric information of the sample user matched with the biometric information of the on Shift user exists, determining that the on Shift user is a normal on Shift user, and otherwise, determining that the on Shift user is an abnormal on Shift user.
4. The method of claim 1, wherein matching the on Shift user's biometric information with the sample user's biometric information corresponding to the collection time comprises:
inquiring whether the biological characteristic information of the sample user matched with the biological characteristic information of the on Shift user exists in a second sample user information base; wherein the second sample user information base comprises: biometric information of a plurality of sample users and an on Shift time period corresponding to each of the sample users;
if the biological characteristic information of the sample user matched with the biological characteristic information of the on Shift user is inquired, acquiring the on Shift time period corresponding to the sample user; otherwise, determining that the on Shift user is an abnormal on Shift user;
and if the acquisition time is in the on Shift time period, determining that the on Shift user is a normal on Shift user, otherwise, determining that the on Shift user is an abnormal on Shift user.
5. The method according to any one of claims 1 to 4, further comprising:
if the on Shift user is determined to be an abnormal on Shift user by the continuous first preset times, stopping running the system; and/or the presence of a gas in the gas,
if the on Shift user is determined to be an abnormal on Shift user by the continuous second preset times, sending an alarm prompt message; wherein the first preset times is less than the second preset times.
6. The method according to any one of claims 1 to 4, further comprising:
if the on Shift user is determined to be an abnormal on Shift user, acquiring the user information of the abnormal on Shift user and the user information of the sample user corresponding to the acquisition time;
and generating second abnormal on-duty information according to the user information of the abnormal on-duty user, the acquisition time and the user information of the sample user corresponding to the acquisition time.
7. The method according to any one of claims 1 to 4,
if the biological characteristic information of the user on duty is not acquired, acquiring the user information of the sample user corresponding to the acquisition time;
and generating third abnormal on-duty information according to the acquisition time and the user information of the sample user corresponding to the acquisition time.
8. The method according to any one of claims 1 to 4,
the types of the biological characteristic information comprise: face feature information, gait feature information, iris feature information and fingerprint feature information.
9. An on Shift monitoring device, comprising a processor, a memory; the processor is used for executing the on Shift monitoring program stored in the memory to realize the on Shift monitoring method of any one of claims 1-8.
10. A computer readable storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement the on Shift monitoring method of any of claims 1-8.
CN201910711134.7A 2019-08-01 2019-08-01 On-duty monitoring method, equipment and computer readable storage medium Pending CN112308995A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910711134.7A CN112308995A (en) 2019-08-01 2019-08-01 On-duty monitoring method, equipment and computer readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910711134.7A CN112308995A (en) 2019-08-01 2019-08-01 On-duty monitoring method, equipment and computer readable storage medium

Publications (1)

Publication Number Publication Date
CN112308995A true CN112308995A (en) 2021-02-02

Family

ID=74486494

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910711134.7A Pending CN112308995A (en) 2019-08-01 2019-08-01 On-duty monitoring method, equipment and computer readable storage medium

Country Status (1)

Country Link
CN (1) CN112308995A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114724270A (en) * 2022-04-01 2022-07-08 广州广电运通智能科技有限公司 Remote inspection method, system, storage medium and terminal for personnel on duty

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1900977A (en) * 2005-07-22 2007-01-24 张涛 Post checking device by fingerprint
CN101084508A (en) * 2004-12-20 2007-12-05 智能光盘株式会社 Network information protection method and storage medium
CN103383218A (en) * 2012-12-31 2013-11-06 于净 Bullet cabinet and temperature and humidity monitoring method thereof
CN103927802A (en) * 2014-04-18 2014-07-16 深圳市威富安防有限公司 Door lock control method and system
CN103942850A (en) * 2014-04-24 2014-07-23 中国人民武装警察部队浙江省总队医院 Medical staff on-duty monitoring method based on video analysis and RFID (radio frequency identification) technology
CN104143056A (en) * 2013-12-31 2014-11-12 腾讯科技（深圳）有限公司 Identity authentication method and system
CN106384400A (en) * 2016-09-13 2017-02-08 成都创慧科达科技有限公司 Employee on-the-job monitoring system and method for office rooms
CN206115508U (en) * 2016-08-26 2017-04-19 北京佳讯飞鸿电气股份有限公司 On duty device of inspecting sentries
CN107274504A (en) * 2017-05-19 2017-10-20 深圳梵摩健康科技有限公司 A kind of intelligent pharmacist management method on duty and system
CN107967555A (en) * 2017-11-15 2018-04-27 平安科技（深圳）有限公司 Employee individual's attendance management-control method, application server and computer-readable recording medium
CN109492620A (en) * 2018-12-18 2019-03-19 广东中安金狮科创有限公司 Monitoring device and its control device, post monitoring method and readable storage medium storing program for executing
CN109657624A (en) * 2018-12-21 2019-04-19 秒针信息技术有限公司 Monitoring method, the device and system of target object
US20190130363A1 (en) * 2017-10-30 2019-05-02 Casio Computer Co., Ltd. Attendance registration device, attendance registration method, and recording medium

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101084508A (en) * 2004-12-20 2007-12-05 智能光盘株式会社 Network information protection method and storage medium
CN1900977A (en) * 2005-07-22 2007-01-24 张涛 Post checking device by fingerprint
CN103383218A (en) * 2012-12-31 2013-11-06 于净 Bullet cabinet and temperature and humidity monitoring method thereof
CN104143056A (en) * 2013-12-31 2014-11-12 腾讯科技（深圳）有限公司 Identity authentication method and system
CN103927802A (en) * 2014-04-18 2014-07-16 深圳市威富安防有限公司 Door lock control method and system
CN103942850A (en) * 2014-04-24 2014-07-23 中国人民武装警察部队浙江省总队医院 Medical staff on-duty monitoring method based on video analysis and RFID (radio frequency identification) technology
CN206115508U (en) * 2016-08-26 2017-04-19 北京佳讯飞鸿电气股份有限公司 On duty device of inspecting sentries
CN106384400A (en) * 2016-09-13 2017-02-08 成都创慧科达科技有限公司 Employee on-the-job monitoring system and method for office rooms
CN107274504A (en) * 2017-05-19 2017-10-20 深圳梵摩健康科技有限公司 A kind of intelligent pharmacist management method on duty and system
US20190130363A1 (en) * 2017-10-30 2019-05-02 Casio Computer Co., Ltd. Attendance registration device, attendance registration method, and recording medium
CN107967555A (en) * 2017-11-15 2018-04-27 平安科技（深圳）有限公司 Employee individual's attendance management-control method, application server and computer-readable recording medium
CN109492620A (en) * 2018-12-18 2019-03-19 广东中安金狮科创有限公司 Monitoring device and its control device, post monitoring method and readable storage medium storing program for executing
CN109657624A (en) * 2018-12-21 2019-04-19 秒针信息技术有限公司 Monitoring method, the device and system of target object

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114724270A (en) * 2022-04-01 2022-07-08 广州广电运通智能科技有限公司 Remote inspection method, system, storage medium and terminal for personnel on duty

Similar Documents

Publication Publication Date Title
US9721461B2 (en) Method, apparatus and system for affirming alarm identity of video monitoring system
CN108664608A (en) Recognition methods, device and the computer readable storage medium of a suspect
CN109286788B (en) Security protection monitored control system based on cloud calculates
CN110795963A (en) Monitoring method, device and equipment based on face recognition
CN112489368A (en) Intelligent falling identification and detection alarm method and system
CN112001230A (en) Sleeping behavior monitoring method and device, computer equipment and readable storage medium
CN105959162A (en) Distributed electric power enterprise information network safety management system
CN112883782B (en) Method, device, equipment and storage medium for identifying putting behaviors
CN112699807A (en) Driver state information monitoring method and device
CN110929608A (en) Safety helmet wearing detection method and system
CN112149576A (en) Elevator safety real-time monitoring management system based on image analysis
CN112308995A (en) On-duty monitoring method, equipment and computer readable storage medium
CN111368620B (en) Method and device for identifying target attention object and storage medium
CN110321582B (en) Method and device for analyzing marketing activity
CN110738415A (en) Electricity stealing user analysis method based on electricity utilization acquisition system and outlier algorithm
CN110633623A (en) Management and control method for operation process of transformer substation worker
CN105897498A (en) Business monitoring method and device
CN111126167B (en) Method and system for quickly identifying serial activities of multiple specific personnel
CN112860549A (en) Method and device for obtaining test sample
CN107613462A (en) Data analysing method, device and electronic equipment
CN116308955A (en) Intelligent community for health care management based on AI artificial intelligence
CN209070519U (en) Application software performance real time monitoring apparatus
CN113568811A (en) Distributed safety monitoring data processing method
CN116311080B (en) Monitoring image detection method and device
CN113449059A (en) Event processing method, device, equipment and 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
RJ01 Rejection of invention patent application after publication

Application publication date: 20210202

RJ01 Rejection of invention patent application after publication