CN112632505A - Power grid dispatcher login authentication system based on big data analysis and face recognition - Google Patents
Power grid dispatcher login authentication system based on big data analysis and face recognition Download PDFInfo
- Publication number
- CN112632505A CN112632505A CN202011510519.6A CN202011510519A CN112632505A CN 112632505 A CN112632505 A CN 112632505A CN 202011510519 A CN202011510519 A CN 202011510519A CN 112632505 A CN112632505 A CN 112632505A
- Authority
- CN
- China
- Prior art keywords
- module
- data
- power grid
- data analysis
- dispatcher
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007405 data analysis Methods 0.000 title claims abstract description 52
- 238000012545 processing Methods 0.000 claims abstract description 76
- 230000002159 abnormal effect Effects 0.000 claims abstract description 42
- 230000003993 interaction Effects 0.000 claims abstract description 24
- 238000005457 optimization Methods 0.000 claims abstract description 23
- 230000010354 integration Effects 0.000 claims abstract description 19
- 230000005540 biological transmission Effects 0.000 claims abstract description 18
- 230000001815 facial effect Effects 0.000 claims description 6
- 230000008859 change Effects 0.000 claims description 4
- 238000012790 confirmation Methods 0.000 claims description 4
- 238000003860 storage Methods 0.000 abstract description 4
- 238000012795 verification Methods 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 11
- 230000006870 function Effects 0.000 description 8
- 238000004590 computer program Methods 0.000 description 7
- 238000000034 method Methods 0.000 description 5
- 238000012423 maintenance Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
-
- 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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- 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
- G06Q10/103—Workflow collaboration or project management
-
- 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a power grid dispatcher login authentication system based on big data analysis and face recognition, which belongs to the technical field of power grid dispatching and comprises a login terminal and a dispatching system, wherein the login terminal comprises a voiceprint recognition module, a fingerprint recognition module, a face recognition module, a system login module, a first processing module, a GPS (global positioning system) positioning module and a transmission module, the dispatching system comprises an identity verification module, a data interaction module, a system management module, an alarm module, a storage module, a data analysis module, a resource integration module, a scheme optimization module and a second processing module, and the login terminal is connected with the dispatching system through the internet. And a solution is provided for the abnormal information of the power grid and scheme optimization is carried out, so that the burden of a dispatcher is reduced.
Description
Technical Field
The invention relates to the technical field of power grid dispatching systems, in particular to a power grid dispatcher login authentication system based on big data analysis and face recognition.
Background
The power grid dispatching system is a central system of a power system, can determine distribution of power loads and power flows and is related to safe and stable operation of the power system, the most important work of the power grid dispatching system is to comprehensively and visually display real-time operation conditions of a power grid to a dispatcher and quickly respond to various problems, the dispatcher needs to log in the power grid dispatching system, the existing power grid dispatching log-in system is single in function, mostly logs in through passwords, the safety is low, the identities of the log-in personnel cannot be confirmed, the existing power grid dispatching system mostly depends on experience of the dispatcher to judge, and at a peak period, the situation of judgment errors cannot occur inevitably, so that certain influence is caused on the power grid.
Disclosure of Invention
The invention aims to provide a power grid dispatcher login authentication system based on big data analysis and face recognition, and aims to solve the problems that the functions proposed in the background technology are single, the safety is low, the identities of login personnel cannot be confirmed, and most of the existing power grid dispatching systems rely on the experience of dispatchers to judge, so that the judgment is wrong, and the power grid is influenced to a certain extent.
In order to achieve the purpose, the invention provides the following technical scheme: a power grid dispatcher login authentication system based on big data analysis and face recognition comprises a login terminal (1) and a dispatching system (2), wherein the login terminal (1) comprises a voiceprint recognition module (3), a fingerprint recognition module (4), a face recognition module (5), a system login module (6), a first processing module (7), a database (14) and a transmission module (9), the dispatching system (2) comprises a data interaction module (11), a system management module (12), an alarm module (13), a data analysis module (15), a resource integration module (16), a scheme optimization module (17) and a second processing module (10), the login terminal (1) is connected with the dispatching system (2) through the transmission module (9), and the voiceprint recognition module (3), the fingerprint recognition module (4) and the face recognition module (5) are all connected with the system login module (6), the processing module I (7) is connected with the system login module (6), the transmission module (9) and the database (14); the second processing module (10) is connected with the transmission module (9), the alarm module (13), the data interaction module (11), the system management module (12) and the data analysis module (15), and the scheme optimization module (17) is connected with the data analysis module (15) and the resource integration module (16).
Preferably, the login terminal (1) is one or more of a mobile phone, a tablet and a host.
Preferably, the login terminal (1) further comprises a GPS positioning module (8), the GPS positioning module (8) is connected with the first processing module (7), and the GPS positioning module (8) is configured to position the location of the login terminal (1) and transmit location information to the first processing module (7).
Preferably, the voiceprint recognition module (3) is a voiceprint collector, the fingerprint recognition module (4) is a fingerprint collector, and the face recognition module is a camera with a face recognition function.
Preferably, the voiceprint recognition module (3) is used for collecting the voiceprint of the dispatcher, the fingerprint identification module (4) is used for collecting the fingerprint of the dispatcher, the face identification module (5) is used for collecting the face of the dispatcher, the system login module (6) is used for a dispatcher to enter the dispatching system (2), the processing module I (7) can send the position information to the dispatching system (2) through the transmission module (9), the voice print, the fingerprint and the facial information of a dispatcher are stored in the database (14), the processing module I (7) is used for comparing the data collected by the voice print recognition module (3), the fingerprint recognition module (4) and the face recognition module (5) with the voice print, the fingerprint and the facial information in the database (14), and the processing module I (7) transmits the confirmation information to the dispatching system (2) through the transmission module (9) after the comparison is successful.
Preferably, the data interaction module (11) is used for receiving data information of a power grid and transmitting the data information to the second processing module (10), the system management module (12) is used for managing the scheduling system (2), a dispatcher can change the power grid data in the second processing module (10) and the data analysis module (15) through the system management module (12), meanwhile, the system of the scheduling system (2) can be maintained and upgraded through the system management module (12), the system management module (12) adopts an independent background coding mode, the second processing module (10) stores the power grid data in a normal range, the second processing module (10) sends the power grid data information in the data interaction module (11) and the power grid data in the normal range in the second processing module (10) to the data analysis module (15), and the data analysis module (15) sends the power grid data information of the data interaction module (11) and the power grid data in the normal range to the data analysis module (15) And comparing to obtain a comparison value, wherein the comparison value is divided into a normal state and an abnormal state, the abnormal state is divided into a slight abnormal state and a serious abnormal state, when the comparison value is the serious abnormal state, the data analysis module (15) feeds back the data to the processing module II (10), and the processing module II (10) controls the alarm module (13) to work to generate an alarm prompt when the power grid data information is abnormal.
Further preferably, the resource integration module (16) is used for integrating and sending a power grid data exception handling scheme on the internet to the scheme optimization module (17), when the contrast value is slightly abnormal, the data analysis module (15) sends abnormal data to the scheme optimization module (17), the scheme optimization module (17) matches the abnormal data with the data exception handling scheme in the resource integration module (16), the data exception handling scheme obtained when matching is completed is sent to the processing module II (10) through the data analysis module (15), and the processing module II (10) sends the data exception handling scheme back to the power grid through the data interaction module (11), so that the exception is solved.
Compared with the prior art, the invention has the beneficial effects that:
1) according to the invention, through three recognition modes of voiceprint recognition, fingerprint recognition and face recognition, when a dispatcher logs in a dispatching system, the identity information of the dispatcher can be accurately confirmed, and the safety is effectively improved.
2) The method and the system can analyze the abnormal information of the power grid, provide a solution for the abnormal information of the power grid and optimize the solution by combining the resource integration module with the big data of the Internet, can reduce the burden of a dispatcher at the peak time, and can rapidly process the abnormal information of the power grid.
3) The system management module adopts an independent background coding mode, and the coding platform is separated from the system content, so that codes are easier to write during maintenance and upgrading, the normal operation of the system is not influenced during maintenance and upgrading, the safety and the stability are improved, and the expandability of the system is stronger.
Drawings
FIG. 1 is a logic block diagram of the system of the present invention;
FIG. 2 is a logic block diagram of a login terminal according to the present invention;
FIG. 3 is a logic block diagram of a scheduling system according to the present invention.
In the figure: the system comprises a login terminal 1, a scheduling system 2, a voiceprint recognition module 3, a fingerprint recognition module 4, a face recognition module 5, a system login module 6, a processing module I7, a GPS positioning module 8, a transmission module 9, a processing module II 10, a data interaction module 11, a system management module 12, an alarm module 13, a database 14, a data analysis module 15, a resource integration module 16 and a scheme optimization module 17.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b):
referring to fig. 1-3, the present invention provides a technical solution: the utility model provides a power grid dispatcher logs in authentication system based on big data analysis, face identification, includes login terminal 1 and dispatch system 2, its characterized in that: the login terminal 1 comprises a voiceprint recognition module 3, a fingerprint recognition module 4, a face recognition module 5, a system login module 6, a processing module I7, a GPS positioning module 8, a database 14 and a transmission module 9, the scheduling system 2 comprises a data interaction module 11, a system management module 12, an alarm module 13, a data analysis module 15, a resource integration module 16, a scheme optimization module 17 and a processing module II 10, and the login terminal 1 is connected with the scheduling system 2 through the Internet.
The login terminal 1 is one or more of a mobile phone, a tablet and a host.
The voiceprint recognition module 3, the fingerprint recognition module 4 and the face recognition module 5 are all connected with the system login module 6, and the processing module I7 is connected with the system login module 6, the GPS positioning module 8, the transmission module 9 and the database 14.
The voiceprint recognition module 3 is a voiceprint collector, the fingerprint recognition module 4 is a fingerprint collector, and the face recognition module is a camera with a face recognition function.
The second processing module 10 is connected with the alarm module 13, the data interaction module 11, the system management module 12 and the data analysis module 15, and the scheme optimization module 17 is connected with the data analysis module 15 and the resource integration module 16.
The voiceprint recognition module 3 is used for collecting the voiceprint of the dispatcher, the fingerprint recognition module 4 is used for collecting the fingerprint of the dispatcher, the face recognition module 5 is used for collecting the face of the dispatcher, the system login module 6 is used for the dispatcher to enter the dispatching system 2, the GPS positioning module 8 is used for positioning the position of the login terminal 1, and transmits the position information to the processing module one 7, the processing module one 7 can transmit the position information to the dispatching system 2 through the transmission module 9, the database 14 stores voiceprint, fingerprint and facial information of a dispatcher, the processing module I7 is used for comparing data collected by the voiceprint recognition module 3, the fingerprint recognition module 4 and the face recognition module 5 with the voiceprint, fingerprint and facial information in the database 14, and the processing module I7 transmits confirmation information to the dispatching system 2 through the transmission module 9 after the comparison is successful.
The data interaction module 11 is used for receiving data information of a power grid and transmitting the data information to the processing module two 10, the system management module 12 is used for managing the scheduling system 2, a dispatcher can change the power grid data in the data analysis module 15 and the processing module two 10 through the system management module 12, meanwhile, the system of the scheduling system 2 can be maintained and upgraded through the system management module 12, the system management module 12 adopts an independent background coding mode, a coded platform is a JAVA platform, the safety and stability are high, the maintenance and the expansion are easy, the data analysis module 15 is used for analyzing abnormal data information of the power grid, the power grid data in a normal range are stored in the processing module two 10, the processing module two 10 transmits the power grid data information in the data interaction module 11 and the power grid data in the normal range in the processing module two 10 to the data analysis module 15, the data analysis module 15 compares the power grid data information of the data interaction module 11 with the power grid data in a normal range, the comparison value is a normal state and an abnormal state, the abnormal state is divided into a slight abnormal state and a serious abnormal state, when the comparison value is a serious abnormal state, the data analysis module 15 feeds the data back to the processing module II 10, the processing module II 10 controls the alarm module 13 to work to generate an alarm prompt when the power grid data information is abnormal, the resource integration module 16 is used for integrating the power grid data abnormal processing scheme on the internet and sending the integrated scheme to the scheme optimization module 17, when the comparison value is a slight abnormal state, the data analysis module 15 sends the abnormal data to the scheme optimization module 17, the scheme optimization module 17 matches the data with the data abnormal processing scheme in the resource integration module 16, if the abnormal data is in the power grid overload operation, the scheme optimization module 17 is matched with the processing scheme in the resource integration module 16, an optimal scheme is obtained after matching is completed, a split operation solution is adopted, split operation data are transmitted to the second processing module 10 through the data analysis module 15, the second processing module 10 transmits the optimized data back to the power grid through the data interaction module 11, and therefore abnormity is solved.
The working principle is as follows: when a dispatcher logs in the system, the system is required to be verified in one mode of the voiceprint recognition module 3, the fingerprint recognition module 4 and the face recognition module 5, the processing module I7 is used for comparing data collected by the voiceprint recognition module 3, the fingerprint recognition module 4 and the face recognition module 5 with voiceprint, fingerprint and face information in the database 14, after the comparison is successful, the processing module I7 transmits confirmation information to the dispatching system 2 through the transmission module 9, the data interaction module 11 is used for receiving and transmitting data information of a power grid to the processing module II 10, the system management module 12 is used for managing the dispatching system 2, the dispatcher can change the power grid data in the data analysis module 15 and the processing module II 10 through the system management module 12, and meanwhile, the system of the dispatching system 2 can be maintained and upgraded through the system management module 12, the system management module 12 adopts an independent background coding mode, the coded platform is a JAVA platform, the safety and stability are high, the maintenance and the expansion are easy, the data analysis module 15 is used for analyzing abnormal data information of a power grid, the power grid data in a normal range are stored in the processing module II 10, the processing module II 10 sends the power grid data information in the data interaction module 11 and the power grid data in the normal range in the processing module II 10 to the data analysis module 15, the data analysis module 15 compares the power grid data information of the data interaction module 11 with the power grid data in the normal range, the comparison values are divided into a normal state and an abnormal state, the abnormal state is divided into a slight abnormal state and a serious abnormal state, when the comparison value is the serious abnormal state, the data analysis module 15 feeds the data back to the processing module II 10, and the processing module II 10 controls the alarm module 13 to work to generate an alarm prompt when the power grid data information is abnormal, the resource integration module 16 is used for integrating the power grid data exception handling schemes on the internet and sending the data exception handling schemes to the scheme optimization module 17, when the contrast value is slightly abnormal, the data analysis module 15 sends the abnormal data to the scheme optimization module 17, the scheme optimization module 17 matches the data with the data exception handling schemes in the resource integration module 16, if the abnormal data is in overload operation of the power grid, the scheme optimization module 17 is matched with the processing schemes in the resource integration module 16, an optimal scheme is obtained after matching is completed, a split operation solution is adopted, the optimized data of the split operation is sent to the processing module II 10 through the data analysis module 15, and the processing module II 10 sends the optimized data back to the power grid through the data interaction module 11, so that the exception is solved.
While there have been shown and described the fundamental principles and essential features of the invention and advantages thereof, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof; the present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein, and any reference signs in the claims are not intended to be construed as limiting the claim concerned.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. The utility model provides a power grid dispatcher logs in authentication system based on big data analysis, face identification, includes login terminal (1) and dispatch system (2), its characterized in that: the login terminal (1) comprises a voiceprint recognition module (3), a fingerprint recognition module (4), a face recognition module (5), a system login module (6), a processing module I (7), a database (14) and a transmission module (9), the scheduling system (2) comprises a data interaction module (11), a system management module (12), an alarm module (13), a data analysis module (15), a resource integration module (16), a scheme optimization module (17) and a processing module II (10), the voiceprint recognition module (3), the fingerprint recognition module (4) and the face recognition module (5) are all connected with the system login module (6), and the processing module I (7) is connected with the system login module (6), the transmission module (9) and the database (14); the second processing module (10) is connected with the transmission module (9), the alarm module (13), the data interaction module (11), the system management module (12) and the data analysis module (15), and the scheme optimization module (17) is connected with the data analysis module (15) and the resource integration module (16).
2. The power grid dispatcher login authentication system based on big data analysis and face recognition according to claim 1, wherein: the login terminal (1) is one or more of a mobile phone, a tablet and a host.
3. The power grid dispatcher login authentication system based on big data analysis and face recognition according to claim 1, wherein: the login terminal (1) further comprises a GPS positioning module (8), the GPS positioning module (8) is connected with the processing module I (7), and the GPS positioning module (8) is used for positioning the position of the login terminal (1) and transmitting the position information to the processing module I (7).
4. The power grid dispatcher login authentication system based on big data analysis and face recognition according to claim 1, wherein: the voiceprint recognition module (3) is a voiceprint collector, the fingerprint recognition module (4) is a fingerprint collector, and the face recognition module is a camera with a face recognition function.
5. The power grid dispatcher login authentication system based on big data analysis and face recognition according to claim 1, wherein: the voiceprint recognition module (3) is used for collecting voiceprints of dispatchers, the fingerprint recognition module (4) is used for collecting fingerprints of dispatchers, the face recognition module (5) is used for collecting the face of a dispatcher, the system login module (6) is used for enabling the dispatcher to enter the dispatching system (2), the processing module I (7) can send position information to the dispatching system (2) through the transmission module (9), the voice print, the fingerprint and the facial information of a dispatcher are stored in the database (14), the processing module I (7) is used for comparing the data collected by the voice print recognition module (3), the fingerprint recognition module (4) and the face recognition module (5) with the voice print, the fingerprint and the facial information in the database (14), and the processing module I (7) transmits the confirmation information to the dispatching system (2) through the transmission module (9) after the comparison is successful.
6. The power grid dispatcher login authentication system based on big data analysis and face recognition according to claim 1, wherein: the data interaction module (11) is used for receiving data information of a power grid and transmitting the data information to the processing module II (10), the system management module (12) is used for managing the scheduling system (2), a dispatcher can change the power grid data in the data analysis module (15) and the processing module II (10) through the system management module (12), meanwhile, the system of the scheduling system (2) can be maintained and upgraded through the system management module (12), the system management module (12) adopts an independent background coding mode, the power grid data in a normal range are stored in the processing module II (10), the power grid data information in the data interaction module (11) and the power grid data in the normal range in the processing module II (10) are sent to the data analysis module (15) through the processing module II (10), and the data analysis module (15) compares the power grid data information of the data interaction module (11) with the power grid data in the normal range And obtaining a comparison value, wherein the comparison value is divided into a normal state and an abnormal state, the abnormal state is divided into a slight abnormal state and a serious abnormal state, when the comparison value is the serious abnormal state, the data analysis module (15) feeds back the data to the processing module II (10), and the processing module II (10) controls the alarm module (13) to work to generate an alarm prompt when the power grid data information is abnormal.
7. The power grid dispatcher login authentication system based on big data analysis and face recognition according to claim 6, wherein: the resource integration module (16) is used for integrating a power grid data exception handling scheme on the Internet and sending the data exception handling scheme to the scheme optimization module (17), when the contrast value is slightly abnormal, the data analysis module (15) sends the exception data to the scheme optimization module (17), the scheme optimization module (17) matches the exception data with the data exception handling scheme in the resource integration module (16), the data exception handling scheme is obtained when the matching is completed, the data optimized according to the data exception handling scheme is sent to the processing module II (10) through the data analysis module (15), and the processing module II (10) sends the optimized data back to the power grid through the data interaction module (11), so that the exception is solved.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011510519.6A CN112632505A (en) | 2020-12-18 | 2020-12-18 | Power grid dispatcher login authentication system based on big data analysis and face recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011510519.6A CN112632505A (en) | 2020-12-18 | 2020-12-18 | Power grid dispatcher login authentication system based on big data analysis and face recognition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112632505A true CN112632505A (en) | 2021-04-09 |
Family
ID=75317482
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011510519.6A Pending CN112632505A (en) | 2020-12-18 | 2020-12-18 | Power grid dispatcher login authentication system based on big data analysis and face recognition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112632505A (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103066701A (en) * | 2012-12-19 | 2013-04-24 | 云南电力调度控制中心 | Power grid dispatching real-time operation command method and system |
| CN104392321A (en) * | 2014-11-25 | 2015-03-04 | 国家电网公司 | Biometric authentication system of electric power dispatching graphic operation ticket and electric power dispatching operation ticket system |
| CN105553102A (en) * | 2016-01-07 | 2016-05-04 | 安徽明瑞智能科技股份有限公司 | Low-voltage power distribution automation system |
| CN107437009A (en) * | 2017-07-14 | 2017-12-05 | 广东欧珀移动通信有限公司 | Authority control method and related product |
| CN109474067A (en) * | 2018-08-14 | 2019-03-15 | 国网浙江省电力有限公司湖州供电公司 | A kind of dispatching of power netwoks troubleshooting aid decision-making method |
| CN110086251A (en) * | 2019-03-29 | 2019-08-02 | 国网山东省电力公司邹城市供电公司 | A kind of monitoring method and system improving electric grid operating safety |
| CN110866708A (en) * | 2019-12-25 | 2020-03-06 | 国网辽宁省电力有限公司沈阳供电公司 | Power grid dispatching management system and application method thereof |
| CN111579898A (en) * | 2020-04-22 | 2020-08-25 | 广东电网有限责任公司 | Regional resource sharing method and system based on cloud platform |
| CN111695704A (en) * | 2020-06-02 | 2020-09-22 | 广西电网有限责任公司电力科学研究院 | Near-end maintenance system for power distribution terminal |
| CN112000938A (en) * | 2020-07-15 | 2020-11-27 | 国网山东省电力公司信息通信公司 | Power grid dispatching identity authentication method and system based on multimode identification |
-
2020
- 2020-12-18 CN CN202011510519.6A patent/CN112632505A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103066701A (en) * | 2012-12-19 | 2013-04-24 | 云南电力调度控制中心 | Power grid dispatching real-time operation command method and system |
| CN104392321A (en) * | 2014-11-25 | 2015-03-04 | 国家电网公司 | Biometric authentication system of electric power dispatching graphic operation ticket and electric power dispatching operation ticket system |
| CN105553102A (en) * | 2016-01-07 | 2016-05-04 | 安徽明瑞智能科技股份有限公司 | Low-voltage power distribution automation system |
| CN107437009A (en) * | 2017-07-14 | 2017-12-05 | 广东欧珀移动通信有限公司 | Authority control method and related product |
| CN109474067A (en) * | 2018-08-14 | 2019-03-15 | 国网浙江省电力有限公司湖州供电公司 | A kind of dispatching of power netwoks troubleshooting aid decision-making method |
| CN110086251A (en) * | 2019-03-29 | 2019-08-02 | 国网山东省电力公司邹城市供电公司 | A kind of monitoring method and system improving electric grid operating safety |
| CN110866708A (en) * | 2019-12-25 | 2020-03-06 | 国网辽宁省电力有限公司沈阳供电公司 | Power grid dispatching management system and application method thereof |
| CN111579898A (en) * | 2020-04-22 | 2020-08-25 | 广东电网有限责任公司 | Regional resource sharing method and system based on cloud platform |
| CN111695704A (en) * | 2020-06-02 | 2020-09-22 | 广西电网有限责任公司电力科学研究院 | Near-end maintenance system for power distribution terminal |
| CN112000938A (en) * | 2020-07-15 | 2020-11-27 | 国网山东省电力公司信息通信公司 | Power grid dispatching identity authentication method and system based on multimode identification |
Non-Patent Citations (6)
| Title |
|---|
| 关守仲等: "电网调度智能监控与事故处理辅助决策系统的研究与实施", 《华东电力》 * |
| 杨威: "基于调控一体化模式的电网智能监控故障诊断及辅助决策系统", 《浙江电力》 * |
| 杨帆等: "智能调度关键技术研究", 《自动化博览》 * |
| 王超等: "基于电网事故处理辅助决策的城市电网应急系统建设和应用", 《电力系统保护与控制》 * |
| 田国辉 等: "大电网调控系统的移动终端设计及关键技术", 《电力系统自动化》 * |
| 顾黎强: "电网事故处理辅助决策系统开发应用", 《供用电》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110929900B (en) | Intelligent maintenance management system and method for power grid | |
| CN110910555A (en) | Safety management method for intelligent operation ticket | |
| CN109299855B (en) | Power information communication scheduling system and scheduling method thereof | |
| CN105243107B (en) | CALPUFF Atmospheric models multithread calculating systems | |
| CN111340987A (en) | Internet of things door lock communication method, device and system and computer storage medium | |
| CN101609972A (en) | Be used to guarantee the system and the control method of operating personnel's personal safety and proper operation | |
| CN110781241A (en) | Four-remote information acceptance method and system | |
| CN109802487B (en) | Method and device for realizing maintenance function of source end of master station | |
| CN112632505A (en) | Power grid dispatcher login authentication system based on big data analysis and face recognition | |
| CN116485212B (en) | Safe operation management method and system for rail transit power supply equipment | |
| CN111612415B (en) | Project management method and device | |
| CN117154844A (en) | Energy supply control method and device for energy storage system | |
| CN109495499B (en) | Encryption algorithm-based communication protocol bidirectional verification automatic test tool and method | |
| CN115730780A (en) | OMS (operation management system) ticket overhauling system and method of comprehensive scheduling terminal | |
| CN108965326A (en) | A kind of boss's station secure communication control method and system based on user identity authentication | |
| CN115208893A (en) | Resource scheduling method and device | |
| CN114971647A (en) | Risk processing method and device for transfer transaction information | |
| CN114331661A (en) | Data verification method and device, electronic equipment and storage medium | |
| CN113473261A (en) | Prestressed engineering construction monitoring system and method based on Internet of things | |
| CN112018754A (en) | Power grid main equipment multi-state working condition determination method and system | |
| CN115001133B (en) | Intelligent power-off and power-on switching operation method and system in traction power supply system | |
| CN103580933A (en) | Method and system for recognizing fault point of on-line environment analyzer | |
| CN112508347B (en) | Automatic execution verification system for security and operability of maintenance ticket | |
| CN114611087A (en) | Voiceprint-based method and device for safe operation of power dispatching monitoring system | |
| CN117635039A (en) | Single-flow processing method for relay protection setting calculation value of mobile phone terminal |
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: 20210409 |
|
| RJ01 | Rejection of invention patent application after publication |