CN108759901A - Power grid voluntarily diagnostic system and its method - Google Patents
Power grid voluntarily diagnostic system and its method Download PDFInfo
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- CN108759901A CN108759901A CN201810266678.2A CN201810266678A CN108759901A CN 108759901 A CN108759901 A CN 108759901A CN 201810266678 A CN201810266678 A CN 201810266678A CN 108759901 A CN108759901 A CN 108759901A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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Abstract
The invention discloses a kind of power grid voluntarily diagnostic system and its methods, are related to power grid diagnostic techniques field.Including：Powernet monitoring unit, powernet monitoring unit include wireless sensor group, fault warning module and daily record generation module；Wireless sensor group is connect by data information uploading module with fault warning module；Daily record generation module is connect by data information download module with fault warning module；Data processing module, fault warning module are connect by data information uploading module with data processing module；GIS modules, data processing module are connect by data information download module with GIS modules；Data processing module is connect by data information uploading module with terminal.The present invention carries out information extraction by characteristic extracting module to the generated data of daily record generation module, statistics and analysis is carried out to generated FAQs during operation of power networks convenient for administration of power networks personnel, to carry out product up-gradation and service upgrade to power grid component devices.
Description
Technical field
The invention belongs to power grid diagnostic techniques field, more particularly to a kind of power grid voluntarily diagnostic system and its method.
Background technology
The power transformation of the various voltages entirety that electric line forms in one's power, referred to as power network in electric system.It includes to become
Three electricity, transmission of electricity, distribution units.The task of power network is conveying and distribution electric energy, changes voltage.
Currently, existing power network monitoring is only that the failure occurred is monitored and is analyzed with diagnostic system, it is difficult
The problem is made early warning to power grid, cause after being frequently experienced in failure appearance to the processing of electric network fault.It is inconvenient
In to the progress multi-analysis of the electric network fault origin cause of formation and regularity summarization.
Invention content
The purpose of the present invention is to provide a kind of power grid voluntarily diagnostic system and its methods, by characteristic extracting module to day
The generated data of will generation module carry out information extraction, convenient for administration of power networks personnel to generated common during operation of power networks
Problem carries out statistics and analysis, to carry out product up-gradation and service upgrade to power grid component devices, solves existing power grid
Monitoring and fault diagnosis system is not easy to the problem of carrying out multi-analysis and regularity summarization to the electric network fault origin cause of formation.
In order to solve the above technical problems, the present invention is achieved by the following technical solutions：
A kind of power grid voluntarily diagnostic system, including：
Powernet monitoring unit, the powernet monitoring unit include wireless sensor group, fault warning module and
Daily record generation module；The wireless sensor group is connect by data information uploading module with fault warning module；The daily record
Generation module is connect by data information download module with fault warning module；
Data processing module, the fault warning module are connect by data information uploading module with data processing module；
GIS modules, the data processing module are connect by data information download module with GIS modules；At the data
Reason module is connect by data information uploading module with terminal；
Characteristic extracting module, the characteristic extracting module are connect by data information download module with daily record generation module；
The characteristic extracting module is connect by data information uploading module with diagram rendering module；The diagram rendering module passes through number
It is believed that breath uploading module is connect with database server.
Preferably, the wireless sensor group includes wireless voltage sensor, wireless current sensor, wireless temperature sensing
Device and wireless humidity sensor；The fault warning module is for detecting the data transmitted by wireless sensor group and therefrom extracting
Go out exceptional value；The daily record generation module for recording operation of power networks state and generating daily record in real time.
Preferably, the data processing module is for handling the data with alert transmitted by fault warning module；Institute
It states and is stored with intelligent grid GIS-Geographic Information System in GIS modules；The terminal is held by patrol officer.
Preferably, the characteristic extracting module is for extracting the operation of power networks feature recorded in daily record and being sent to chart
Drafting module；The diagram rendering module is used to carry out chart to the operation of power networks characteristic transmitted by characteristic extracting module to paint
System；The database server is for storing the operation of power networks feature chart that diagram rendering module is drawn.
A kind of power grid voluntarily diagnostic method, includes the following steps：
Step 1：Wireless sensor group monitors operation of power networks state in real time, when fault warning module detects nothing
When line sensor group institute monitoring data occur abnormal, fault warning module sends alarm signal and failure to data processing module
Data；
Step 2：Data processing module extracts the intelligent grid geography information in GIS modules and combination failure data are to end
Hold transmission data；
Step 3：Common electric network fault information that characteristic extracting module stores daily record generation module, same power grid area
Domain internal fault occurrence frequency information, failure easily send out time point and easily hair ground information is extracted and handled；
Step 4：The operation of power networks characteristic that characteristic extracting module is extracted is carried out chart and painted by diagram rendering module
System.
The invention has the advantages that：
1, the present invention carries out information extraction by characteristic extracting module to the generated data of daily record generation module, is convenient for power grid
Administrative staff carry out statistics and analysis to generated FAQs during operation of power networks, to be carried out to power grid component devices
Product up-gradation and service upgrade.
2, the present invention carries out graph making by the information after extracting characteristic extracting module by diagram rendering module,
Operation of power networks status data is more clearly obtained convenient for administration of power networks personnel.
3, the present invention is handled the data with alert transmitted by fault warning module by data processing module, and is combined
GIS modules send grid maintenance information to the held terminal of patrol officer, effectively increase the efficiency to grid maintenance.
Certainly, it implements any of the products of the present invention and does not necessarily require achieving all the advantages described above at the same time.
Description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will be described below to embodiment required
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of power grid voluntarily diagnostic system figure of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained all other without creative efforts
Embodiment shall fall within the protection scope of the present invention.
Refering to Figure 1, a kind of power grid voluntarily diagnostic system, including：
Powernet monitoring unit, powernet monitoring unit include wireless sensor group, fault warning module and daily record
Generation module；Wireless sensor group is connect by data information uploading module with fault warning module；Daily record generation module passes through
Data information download module is connect with fault warning module；
Data processing module, fault warning module are connect by data information uploading module with data processing module；
GIS modules, data processing module are connect by data information download module with GIS modules；Data processing module is logical
Data information uploading module is crossed to connect with terminal；
Characteristic extracting module, characteristic extracting module are connect by data information download module with daily record generation module；Feature
Extraction module is connect by data information uploading module with diagram rendering module；Diagram rendering module uploads mould by data information
Block is connect with database server.
Wherein, wireless sensor group includes wireless voltage sensor, wireless current sensor, radio temperature sensor and nothing
Line humidity sensor；Fault warning module is for detecting the data transmitted by wireless sensor group and therefrom extracting exceptional value；
Daily record generation module for recording operation of power networks state and generating daily record in real time.
Wherein, data processing module is for handling the data with alert transmitted by fault warning module；In GIS modules
It is stored with intelligent grid GIS-Geographic Information System；Terminal is held by patrol officer.
Wherein, characteristic extracting module is for extracting the operation of power networks feature recorded in daily record and being sent to graph making mould
Block；Diagram rendering module is used to carry out graph making to the operation of power networks characteristic transmitted by characteristic extracting module；Database
Server is for storing the operation of power networks feature chart that diagram rendering module is drawn.
A kind of power grid voluntarily diagnostic method, includes the following steps：
Step 1：Wireless sensor group monitors operation of power networks state in real time, when fault warning module detects nothing
When line sensor group institute monitoring data occur abnormal, fault warning module sends alarm signal and failure to data processing module
Data；
Step 2：Data processing module extracts the intelligent grid geography information in GIS modules and combination failure data are to end
Hold transmission data；
Step 3：Common electric network fault information that characteristic extracting module stores daily record generation module, same power grid area
Domain internal fault occurrence frequency information, failure easily send out time point and easily hair ground information is extracted and handled；
Step 4：The operation of power networks characteristic that characteristic extracting module is extracted is carried out chart and painted by diagram rendering module
System.
It is worth noting that, in above system embodiment, included each unit is only drawn according to function logic
Point, but it is not limited to above-mentioned division, as long as corresponding function can be realized；In addition, each functional unit is specific
Title is also only to facilitate mutually distinguish, the protection domain being not intended to restrict the invention.
In addition, one of ordinary skill in the art will appreciate that realizing all or part of step in the various embodiments described above method
It is that relevant hardware can be instructed to complete by program, corresponding program can be stored in a computer-readable storage and be situated between
In matter, the storage medium, such as ROM/RAM, disk or CD.
Present invention disclosed above preferred embodiment is only intended to help to illustrate the present invention.There is no detailed for preferred embodiment
All details are described, are not limited the invention to the specific embodiments described.Obviously, according to the content of this specification,
It can make many modifications and variations.These embodiments are chosen and specifically described to this specification, is in order to preferably explain the present invention
Principle and practical application, to enable skilled artisan to be best understood by and utilize the present invention.The present invention is only
It is limited by claims and its full scope and equivalent.
Claims (5)
1. power grid voluntarily diagnostic system, which is characterized in that including：
Powernet monitoring unit, the powernet monitoring unit include wireless sensor group, fault warning module and daily record
Generation module；The wireless sensor group is connect by data information uploading module with fault warning module；The daily record generates
Module is connect by data information download module with fault warning module；
Data processing module, the fault warning module are connect by data information uploading module with data processing module；
GIS modules, the data processing module are connect by data information download module with GIS modules；The data processing mould
Block is connect by data information uploading module with terminal；
Characteristic extracting module, the characteristic extracting module are connect by data information download module with daily record generation module；It is described
Characteristic extracting module is connect by data information uploading module with diagram rendering module；The diagram rendering module is believed by data
Breath uploading module is connect with database server.
2. power grid according to claim 1 voluntarily diagnostic system, which is characterized in that the wireless sensor group includes wireless
Voltage sensor, wireless current sensor, radio temperature sensor and wireless humidity sensor；
The fault warning module is for detecting the data transmitted by wireless sensor group and therefrom extracting exceptional value；
The daily record generation module for recording operation of power networks state and generating daily record in real time.
3. power grid according to claim 1 voluntarily diagnostic system, which is characterized in that the data processing module for pair therefore
Data with alert transmitted by barrier alarm modules is handled；It is stored with intelligent grid GIS-Geographic Information System in the GIS modules；Institute
Terminal is stated by patrol officer to be held.
4. power grid according to claim 1 voluntarily diagnostic system, which is characterized in that the characteristic extracting module is for extracting
Operation of power networks feature recorded in daily record is simultaneously sent to diagram rendering module；The diagram rendering module is used for feature extraction
Operation of power networks characteristic transmitted by module carries out graph making；The database server is for storing diagram rendering module
The operation of power networks feature chart drawn.
5. power grid voluntarily diagnostic method, which is characterized in that include the following steps：
Step 1：Wireless sensor group monitors operation of power networks state in real time, when fault warning module detects wireless biography
When sensor group institute monitoring data occur abnormal, fault warning module sends alarm signal and number of faults to data processing module
According to；
Step 2：Data processing module extracts the intelligent grid geography information in GIS modules and combination failure data are sent out to terminal
Send data；
Step 3：In common electric network fault information that characteristic extracting module stores daily record generation module, same Grid
Fault occurrence frequency information, failure easily send out time point and easily hair ground information is extracted and handled；
Step 4：The operation of power networks characteristic that diagram rendering module is extracted characteristic extracting module carries out graph making.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810266678.2A CN108759901A (en) | 2018-03-28 | 2018-03-28 | Power grid voluntarily diagnostic system and its method |
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| CN201810266678.2A CN108759901A (en) | 2018-03-28 | 2018-03-28 | Power grid voluntarily diagnostic system and its method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111355572A (en) * | 2018-12-24 | 2020-06-30 | 国网信息通信产业集团有限公司 | Method and device for acquiring QKD (quantum key distribution) fast-offset equipment running log in power overhead environment |
| CN112134356A (en) * | 2020-02-11 | 2020-12-25 | 吴龙圣 | Smart power grid fault monitoring method and system based on big data analysis |
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| US20080167754A1 (en) * | 2007-01-05 | 2008-07-10 | Mcallister Sarah C | Ozone and other molecules sensors for electric fault detection |
| CN103107601A (en) * | 2013-02-26 | 2013-05-15 | 合肥未来计算机技术开发有限公司 | Web of Things smart power grid operation and maintenance system |
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| CN111355572A (en) * | 2018-12-24 | 2020-06-30 | 国网信息通信产业集团有限公司 | Method and device for acquiring QKD (quantum key distribution) fast-offset equipment running log in power overhead environment |
| CN112134356A (en) * | 2020-02-11 | 2020-12-25 | 吴龙圣 | Smart power grid fault monitoring method and system based on big data analysis |
| CN112165161A (en) * | 2020-02-11 | 2021-01-01 | 吴龙圣 | Intelligent power grid monitoring method and system based on Internet of things |
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Application publication date: 20181106 |
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