CN109376168A - A kind of big data analysis system of master network equipment - Google Patents
A kind of big data analysis system of master network equipment Download PDFInfo
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- CN109376168A CN109376168A CN201811237326.0A CN201811237326A CN109376168A CN 109376168 A CN109376168 A CN 109376168A CN 201811237326 A CN201811237326 A CN 201811237326A CN 109376168 A CN109376168 A CN 109376168A
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- 238000007405 data analysis Methods 0.000 title claims abstract description 34
- 238000012544 monitoring process Methods 0.000 claims abstract description 43
- 238000001514 detection method Methods 0.000 claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 16
- 238000004458 analytical method Methods 0.000 claims abstract description 14
- 238000004891 communication Methods 0.000 claims description 13
- 238000012806 monitoring device Methods 0.000 claims description 9
- 238000005259 measurement Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000010835 comparative analysis Methods 0.000 claims description 2
- 238000012360 testing method Methods 0.000 claims description 2
- 238000000034 method Methods 0.000 description 8
- 238000013499 data model Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 238000009412 basement excavation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
-
- 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
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- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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
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- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
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- Game Theory and Decision Science (AREA)
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- Public Health (AREA)
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- Operations Research (AREA)
- Primary Health Care (AREA)
- Computing Systems (AREA)
- Medical Informatics (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses a kind of big data analysis systems of master network equipment, for each equipment of substation to be detected and analyzed.By the monitoring data for acquiring substation equipment, analysis comparison is carried out using data of the distributed data analysis set-up to acquisition, and it passes data to central processing unit and is detected and handled, to fully and effectively acquire the status information of each equipment of substation, and plays the role of optimizing operation of power networks, inhibits risk and in time detection failure.
Description
Technical field
The present invention relates to smart grid fields, more particularly, to a kind of big data analysis system of master network equipment.
Background technique
It is that power supply enterprise promotes the horizontal important means of safe and reliable operation that electric network state, which analyses and evaluates,.Smart grid is certainly
More control requirement is rapid, accurately and comprehensively grasps operation of power networks state, prediction and analysis operation of power networks trend, thus effective excellent
Change operation of power networks, inhibit risk and handling failure.Current most of power supply enterprises have built major network asset management automation, have adjusted
The systems such as automation, equipment condition monitoring are spent, have accumulated a large amount of multi-dimensional datas, but not due to acquisition data emphasis and structure
Together, different application systems information is interrelated, and partial data, which exists, to be repeated and intersect, and needs to carry out data classification excavation, extracts
And cleaning.Lack the integrated power system Condition Monitoring Data model for being directed to multi-source heterogeneous data, so that each operation system data are not real
Existing effective integration, relies on the accident analysis of single data source and the precision of state evaluation and efficiency is not often high.In addition, due to
Outdoor monitoring communication device working environment is severe, to bear the disturbing factors such as extraneous high pressure, high current, thunder and lightning, major network state prison
Measurement information exists uncertain.Towards electric network state monitoring information is huge and information uncertainty problem, unified master is established
Net state monitoring data model improves main electric network fault identification and shape using big data analysis and a variety of decision-making technique integration technologies
The speed and precision of state analysis, it has also become following developing direction.This patent protects a kind of big data analysis of master network equipment flat
Platform builds multi-dimensional data analysis system using cloud monitoring principle, provides a kind of means for major network big data analysis.
Summary of the invention
The present invention in order to overcome at least one of the drawbacks of the prior art described above, provides a kind of real-time detection substation state
Master network equipment big data analysis system.
The present invention is directed to solve above-mentioned technical problem at least to a certain extent.
In order to solve the above technical problems, technical scheme is as follows: a kind of big data analysis system of master network equipment,
Including monitoring module, data analysis module, network communication module and control module；
Wherein monitoring module is used to acquire the monitoring data of substation equipment, and monitoring data are sent to the data and analyze mould
Block；
Data analysis module between balance monitoring device data volume, analysis is carried out to the detection data of acquisition and will analysis
Detection data afterwards is transferred to interchanger；
Communication module is sent to network cloud for detection data after analyzing；
Control module takes into custody measured data and storing data for terminating from network cloud, and to monitoring data progress real-time monitoring and greatly
Data processing.Preferably, the detection device uses different types of detection device for different types of equipment.
Preferably, the monitoring modular includes several monitoring devices, and each monitoring device include dsp chip,
Sensor interface and data communication interface, sensor interface are used for receiving device detection data；Data communication interface will be for that will examine
Measured data is transferred to data analysis module；Dsp chip is used to handle the data of sensor acquisition.
Preferably, the data analysis module includes being connected with each monitoring modular for number between balance monitoring module
The data processing unit of function is analyzed, stored and transmitted according to the load balancer of amount and with data.
Preferably, the distributed network performance measurement of Hadoop cloud computing architecture is installed on the data processing unit
System.
Preferably, the data analysis module classifies the monitoring data acquired from different type equipment, comparison
Analysis, and real-time Transmission is to interchanger.
Preferably, the control module includes central server and central processing unit；
Central server is used to take into custody measured data and storing data from network cloud termination；
Central processing unit is used to carry out real-time monitoring to monitoring data and big data is handled.
Preferably, the distributed network performance measurement system of Hadoop cloud computing architecture is installed on the central processing unit
System.
Compared with prior art, the beneficial effect of technical solution of the present invention is: the present invention to various device data classification at
The method of reason, the sufficiently comprehensive operating status for grasping power grid, and the failure of current class equipment can be analyzed by comparing；
By the method for big data analysis, effectively in advance and operation of power networks trend can be analyzed, so as to optimize operation of power networks, inhibit wind
Danger simultaneously can cope with failure in time.
Detailed description of the invention
Fig. 1 is big data analysis plateform system block diagram of the present invention.
Specific embodiment
The attached figures are only used for illustrative purposes and cannot be understood as limitating the patent；
The following further describes the technical solution of the present invention with reference to the accompanying drawings and examples.
Embodiment 1
The block diagram of big data analysis plateform system as shown in Figure 1, the present invention include monitoring module, data analysis module, network
Communication module and control module；
Wherein monitoring module is used to acquire the monitoring data of substation equipment, and monitoring data are sent to the data and analyze mould
Block；Data analysis module between balance monitoring device data volume, analysis is carried out to the detection data of acquisition and will analysis
Detection data afterwards is transferred to interchanger；Communication module is sent to network cloud for detection data after analyzing；Control module
For taking into custody measured data and storing data from network cloud termination, and real-time monitoring and big data processing are carried out to monitoring data.
In the specific implementation process, different detection devices is used for different types of equipment, if monitoring modular includes
Dry monitoring device, and each monitoring device includes dsp chip, sensor interface and data communication interface, sensor interface
For receiving device detection data；Data communication interface is transferred to data analysis module for will test data；Dsp chip is used for
Handle the data of sensor acquisition.
In the specific implementation process, data analysis module include be connected with each monitoring modular for balance monitoring module it
Between data volume load balancer and several analyzed with data, store and transmit the data processing unit of function, and
The distributed network performance measurement system of Hadoop cloud computing architecture is installed on each data processing unit.
In the specific implementation process, data analysis module classifies the monitoring data acquired from different type equipment,
Comparative analysis, and real-time Transmission is to interchanger.
In the specific implementation process, control module includes being equipped with the distributed network performance survey of Hadoop cloud computing architecture
The central server and central processing unit of amount system；Central server is used to take into custody measured data from network cloud termination and stores number
According to；Central processing unit is used to carry out real-time monitoring to monitoring data and big data is handled.
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention.For those of ordinary skill in the art, may be used also on the basis of the above description
To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this
Made any modifications, equivalent replacements, and improvements etc., should be included in the claims in the present invention within the spirit and principle of invention
Protection scope within.
Claims (7)
1. a kind of big data analysis system of master network equipment, it is characterised in that: including monitoring module, data analysis module, network
Communication module and control module；
Wherein monitoring module is used to acquire the monitoring data of substation equipment, and monitoring data are sent to the data and analyze mould
Block；
Data analysis module between balance monitoring device data volume, analysis is carried out to the detection data of acquisition and will analysis
Detection data afterwards is transferred to interchanger；
Communication module is sent to network cloud for detection data after analyzing；
Control module takes into custody measured data and storing data for terminating from network cloud, and to monitoring data progress real-time monitoring and greatly
Data processing.
2. a kind of big data analysis system of master network equipment according to claim 1, it is characterised in that: the monitoring mould
Block includes several monitoring devices, and each monitoring device includes dsp chip, sensor interface and data communication interface, is passed
Sensor interface is used for receiving device detection data；Data communication interface is transferred to data analysis module for will test data；DSP
Chip is used to handle the data of sensor acquisition.
3. a kind of big data analysis system of master network equipment according to claim 1, it is characterised in that: the data point
Analysis module includes being connected with each monitoring modular for the load balancer of data volume between balance monitoring module and with number
According to the data processing unit for analyzing, storing and transmitting function.
4. a kind of big data analysis system of master network equipment according to claim 3, it is characterised in that: at the data
The distributed network performance measurement system of Hadoop cloud computing architecture is installed on reason unit.
5. a kind of big data analysis system of master network equipment according to claim 4, it is characterised in that: the data point
Analysis module classifies the monitoring data acquired from different type equipment, comparative analysis, and real-time Transmission is to interchanger.
6. a kind of big data analysis system of master network equipment according to claim 1, it is characterised in that: the control mould
Block includes central server and central processing unit；
Central server is used to take into custody measured data and storing data from network cloud termination；
Central processing unit is used to carry out real-time monitoring to monitoring data and big data is handled.
7. a kind of big data analysis system of master network equipment according to claim 6, it is characterised in that: the centre
The distributed network performance measurement system of Hadoop cloud computing architecture is installed on reason device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811237326.0A CN109376168A (en) | 2018-10-23 | 2018-10-23 | A kind of big data analysis system of master network equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811237326.0A CN109376168A (en) | 2018-10-23 | 2018-10-23 | A kind of big data analysis system of master network equipment |
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| Publication Number | Publication Date |
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| CN109376168A true CN109376168A (en) | 2019-02-22 |
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ID=65401437
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811237326.0A Pending CN109376168A (en) | 2018-10-23 | 2018-10-23 | A kind of big data analysis system of master network equipment |
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| Country | Link |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110493745A (en) * | 2019-08-27 | 2019-11-22 | 深圳供电局有限公司 | Test subject analysis system based on artificial intelligence technology |
| CN112561316A (en) * | 2020-12-15 | 2021-03-26 | 深圳供电局有限公司 | Electric power regulation and control cloud platform system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103338261A (en) * | 2013-07-04 | 2013-10-02 | 北京泰乐德信息技术有限公司 | Storage and processing method and system of rail transit monitoring data |
| CN106325252A (en) * | 2016-09-28 | 2017-01-11 | 华北电力大学 | Multi-level large-span large data oriented power equipment state monitoring and evaluating system |
| CN107742922A (en) * | 2017-09-15 | 2018-02-27 | 江苏京电电气股份有限公司 | A kind of generalized information system and method with long-range self-diagnostic function |
-
2018
- 2018-10-23 CN CN201811237326.0A patent/CN109376168A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103338261A (en) * | 2013-07-04 | 2013-10-02 | 北京泰乐德信息技术有限公司 | Storage and processing method and system of rail transit monitoring data |
| CN106325252A (en) * | 2016-09-28 | 2017-01-11 | 华北电力大学 | Multi-level large-span large data oriented power equipment state monitoring and evaluating system |
| CN107742922A (en) * | 2017-09-15 | 2018-02-27 | 江苏京电电气股份有限公司 | A kind of generalized information system and method with long-range self-diagnostic function |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110493745A (en) * | 2019-08-27 | 2019-11-22 | 深圳供电局有限公司 | Test subject analysis system based on artificial intelligence technology |
| CN110493745B (en) * | 2019-08-27 | 2023-04-18 | 深圳供电局有限公司 | Test subject analysis system based on artificial intelligence technology |
| CN112561316A (en) * | 2020-12-15 | 2021-03-26 | 深圳供电局有限公司 | Electric power regulation and control cloud platform system |
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Application publication date: 20190222 |
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