CN107742922A - A kind of generalized information system and method with long-range self-diagnostic function - Google Patents
A kind of generalized information system and method with long-range self-diagnostic function Download PDFInfo
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00019—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using optical means
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- H02J13/0013—
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- H02J13/0075—
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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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02B90/20—Smart grids as enabling technology in buildings sector
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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
- 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
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses a kind of generalized information system and method with long-range self-diagnostic function, the generalized information system of long-range self-diagnostic function includes process layer, wall and station level, process layer, wall connects with station level difference signal, the sensor device inserted in the design based on GIS, the sensor device includes current sensor, stroke sensor, SF6 sensors, partial discharge sensor, ECVT, video sensor, vibrating sensor and arrester sensor, the output end two-way signaling connection intelligent terminal of the current sensor, stroke sensor, vibrating sensor, video sensor, arrester sensor connects on-line monitoring IED input with the equal signal of the output end of SF6 sensors.The present invention is obtained to intelligent GIS monitoring points and integrated, and forms real-time online state evaluation and diagnosis.
Description
Technical field
The present invention relates to electric power GIS systems technology field, specially a kind of GIS systems with long-range self-diagnostic function
And method.
Background technology
Intelligent GIS, when preceding because its intelligence degree is low, is set as one of most important equipment of intelligent substation in extraction
The characteristic feature parameter of standby faults itself pattern simultaneously carries out intelligent analysis processing aspect also in the application stage is explored, apart from it
There is a certain distance with height self diagnostic capability, these factors have impact on intelligent substation and be built in the advanced application aspect of data
If paces.At present accurate judgement is not apt to do to states of the GIS in actual motion, it is difficult to carry out comprehensive monitoring, mainly deposit
In 3 subject matters：
1) GIS is complicated, and action position is more and requires high so that is not apt to do accurate judgement to GIS state, it is difficult to
Collection, determine to influence the monitoring variable of equipment state, hinder the sizing and development of monitoring device, there has been no mature and reliable at present
GIS on-line monitoring systems put into operation.
2) existing monitoring and sampled-data control system in station, it is sampled, communication mode can not be under adaptive state maintenance model
Requirement for on-line monitoring, and these systems are separate, Monitoring Data can not be shared.It is such as directly related with electric life
Current data has been directly accessed protection supervisory equipment, and on-line monitoring backstage does not typically access main circuit current voltage sample value.
3) GIS on-line monitoring and sampling there will be it is substantial amounts of in real time and historical data, either depositing in data at present
It is all more primary in storage and data value excavation, essentially stay in the condition diagnosing research to separate unit GIS device, without
Integrated diagnosing and analyzing is carried out simultaneously to tens even up to a hundred GIS devices, current condition diagnosing effect can not accurately, in time
Generate maintenance decision.
The content of the invention
It is above-mentioned to solve it is an object of the invention to provide a kind of generalized information system and method with long-range self-diagnostic function
The problem of being proposed in background technology.
To achieve the above object, the present invention provides following technical scheme：A kind of GIS systems with long-range self-diagnostic function
System, process layer, wall and station level, process layer, wall and station control should be included with the generalized information system of long-range self-diagnostic function
Layer signal connection respectively, the sensor device inserted in the design based on GIS, the sensor device include current sense
Device, stroke sensor, SF6 sensors, partial discharge sensor, ECVT, video sensor, vibrating sensor and arrester sensor,
The current sensor output end two-way signaling connection intelligent terminal, stroke sensor, vibrating sensor, video sensor,
Arrester sensor connects on-line monitoring IED input, the output of the ECVT with the equal signal of the output end of SF6 sensors
End signal is connected with combining unit, the output end signal connection MMS partial discharges IED of partial discharge sensor, and the process layer includes observing and controlling
Module, the module for the protection being connected with intelligent terminal signal, in addition to on-line monitoring IED, MMS partial discharge IED signals be connected
Optical switch, optical switch output end two-way signaling connection IEC61850 communication input, IEC61850 communication it is defeated
Go out end electrical connection gateway, signal connects monitoring network (IP communications) on gateway, and monitoring network (IP communications) signal connection expert does
The mobile terminal of public room remote diagnostic center, the mobile terminal of expert office remote diagnostic center belong to station level, stood
Controlling also includes isolating device and the control centre of mutual signal connection in layer.
Preferably, a kind of method of the generalized information system with long-range self-diagnostic function as described above, comprises the following steps：
S1：Information gathering and acquisition are carried out to intelligent GIS device using Internet of Things, simple data carried out in real time
Local analysis has simultaneously carried out alarm prompting to abnormal data；
S2：The data transferring of substation operation is returned by data diagnosis center by internet；
S3：D-S evidence theory status monitoring decision model of the data diagnosis center based on multi-sensor information fusion；
S4：Establish GIS assessment life model and method.
Preferably, the Internet of Things includes sensing layer, Internet and application layer, and sensing layer utilizes RFID application managements system
System, current sensor, SF6 sensors, partial discharge sensor, ECVT, video sensor and vibrating sensor are perceived, captured, measurement,
RFID application management systems, current sensor, SF6 sensors, partial discharge sensor, ECVT, video sensor and vibrating sensor
Connecting and disconnecting of the circuit is realized by switch, information gathering and acquisition are carried out to intelligent GIS device；Internet passes through wireless connection
Monitor node carry out authentic data transmission fusion, the data signal that GIS device is perceived accesses the information networks of IEC 61850
Reliable information exchange is carried out in real time and is shared；In application layer by using cable or optical fiber by intelligent terminal, combining unit,
The module for monitoring IED and thing network sensing layer on-line connects, and also includes Surveillance center in application layer, Surveillance center passes through optical networking
Network or 4G networks are connected with sensing layer, network layer signal, cross-region to magnanimity, inter-trade, interdepartmental data and information
Analyzed and processed, lifted to GIS device Operational Data Analysis and prediction, realize intelligentized decision-making and failure automatic identification.
Preferably, the basic logic node of the information networks of IEC 61850 is LLNO and LPHD, and logical node is
XCBR, SIMG, GGIO and CALH.
Preferably, the data fusion of the D-S evidence theory status monitoring decision model comprises the following steps：
S1：To same type sensor obtain primary signal carry out pixel-based fusion, mainly include mechanical property sensor,
Current sensor, SF6 sensors, arrester sensor, leakage current sensor, micro- water sensor, mechanical vibration sensor and
Video sensor, merge out the optimal value of same type data；
S2：The signal of pixel-based fusion is further pre-processed, removes noise and interference signal as much as possible,
Various sensors are in the strong electromagnetic interference environment of high-voltage large current, the caused VFTO particularly during switching manipulation
With the influence of other overvoltage；
S3：Characteristic value is proposed, characteristics extraction is carried out to the raw information from sensor, characteristic value is measurand
Physical quantity, single failure and its development trend are tentatively judged in diverse location Monitoring Data characteristic value according to same type sensor；
S4：Each characteristic value is sent into the further breakdown judges of carry out such as fuzzy neural network；
S5：The angle value that is subordinate to of the outputs such as each fuzzy neural network is inputted into D-S evidence theory diagnostic system respectively, carried out
Last decision level fusion, export fault diagnosis result.
Preferably, the mobile terminal of expert office remote diagnostic center is smart mobile phone, is downloaded on smart mobile phone
Include configuration information, in real time historical data, detection, essential information in long-range self diagnosis movement APP, long-range self diagnosis movement APP
With 5 modules of interactive mode, the configuration information, historical data, in real time detection, essential information and interactive mode 5 modules point
Fu Ze not publish/subscribe/short message/Email, query search, real time data residual life probability of malfunction, transformer station's list/two dimension
Code/user's registration/latest edition/product information, picture/video/voice.
Compared with prior art, the beneficial effects of the invention are as follows：
1st, intelligent GIS monitoring points are obtained and integrated, form real-time online state evaluation and diagnosis；
2nd, by studying the current waveform of breaker division state and divide-shut brake coil, the running status of spring is obtained, with
When monitoring breaker spring performance, the degree of fatigue of spring, solve the problems, such as that the state of spring in operation is not easy to measure；
3rd, the method analyzed using wavelet packet and short-time energy handles vibration signal, analyzes breaker closing synchronism, takes
Obtained substantial using effect；
4th, for decision model target is single present in Decision-making of Condition-based Maintenance and applicability is limited, decision-making is not accounted for
The actual maintenance of person is expected and maintenance wish, the problems such as individual decision making rather than group decision, proposes a kind of based on D-S evidence theory
Repair based on condition of component Multiobjective Group Decision-Making model；
5th, make inferences failure judgement type using man-machine interface, failure diagnostic process manually participate in substantially by
Step is completed, and diagnosis speed is slow and human factor is excessive；
6th, the characteristics of there is ambiguity and grey majorized model for high-voltage circuit-breaker status assessment factor, should by Grey-fuzzy Theory
In the state estimation for using high pressure enclosed type electric apparatus, grey fuzzy discrimination matrix is established, and then to high pressure enclosed type electric apparatus running status
Comprehensive assessment is carried out；
7th, the cloud computing technology of smart grid-oriented is studied, cloud computing and intelligent power grid technology is melted
Close, it is proposed that the concept of intelligent cloud；
8th, the generation source of big data and feature in generating, power transmission and transformation and electricity consumption links are analyzed, reviews mesh
It is preceding to tackle intelligence in business, the existing big data treatment technology in internet and industry monitoring field, and these technologies of labor
Advantage and application in terms of energy power grid construction and big data processing.
Brief description of the drawings
Fig. 1 is the intelligent GIS structural scheme of mechanism with Remote self-diagnostic function；
Fig. 2 is technology of Internet of things application schematic diagram；
Fig. 3 is that GIS status monitoring logical nodes illustrate schematic diagram；
Fig. 4 is intelligent GIS status monitorings model；
Fig. 5 is the status monitoring decision model based on D-S evidence theory；
Fig. 6 is intelligent GIS, cloud computing, the correlation schematic diagram of big data；
Fig. 7 is intelligent GIS device self diagnosis big data cloud computing platform schematic diagram；
Fig. 8 is Remote diagnostic center data communication model schematic diagram；
Fig. 9 is man-machine configuration interface diagram；
Figure 10 is that long-range self diagnosis moves APP systematic functional structrue schematic diagrames；
Figure 11 is mobile Internet schematic diagram.
Embodiment
Below in conjunction with Fig. 1 in the embodiment of the present invention to Figure 11, the technical scheme in the embodiment of the present invention is carried out clear
Chu, it is fully described by, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.Base
Embodiment in the present invention, those of ordinary skill in the art obtained under the premise of creative work is not made it is all its
His embodiment, belongs to the scope of protection of the invention.
The intelligent construction of transformer station is to improve the horizontal key of whole Power System Intelligentization, and emphasis will realize whole station number
Word, integration of equipments, business are integrated, compact to designization.Whole station digitlization be by the various signals of transformer station, various equipment,
Various control total digitalizations, digitized transformer station model is formed, set for this platform to realize comprehensive intelligent control and efficiently managing.
Integration of equipments be use of the new technology, new material, new technology, optimization GIS etc. key equipment designs, integrate related sensor and intelligence
Energy part, strengthens functions of the equipments, controls size, improves reliability.Business integration is to integrate protection control, automation and communication
Etc. system, the business such as on-line monitoring, on-the-spot make an inspection tour, O＆M maintenance are integrated, integration construct operation system reduces and intersects, repeats,
Realize and coordinate control, improve whole efficiency.Compact to designization is according to different voltage class, different type transformer station feature, is pushed away
Row over all Integration designs, and optimization main electrical scheme whole station layout, reduces occupation of land and investment.
Referring to Fig. 1, the present invention provides a kind of technical scheme：Intelligent GIS knots with Remote self-diagnostic function
Structure includes the high-tension switch gear body, data acquisition device, IEC61850 power transformations that Integral design is implanted into various intelligence sensors
Stand Networks of Fiber Communications, transformer station's local analysis center, telecommunications network, remote diagnostic center and mobile terminal.Based on thing
The real-time online collection merging that networking technology realizes operation key parameter has carried out real-time local analysis simultaneously to simple data
Alarm has been carried out to abnormal data to remind；Factory's number is returned in the teletransmission that substation operation data are realized by Internet technology
According to diagnostic center, data diagnosis center establishes switchgear life cycle management model, is melted based on big data, cloud platform and data
The technology switching devices situations such as conjunction carry out real-time OBD and failure automatic identification；It will be diagnosed finally by mobile Internet
As a result operation maintenance personnel is reported, realizes the state that equipment operation maintenance personnel grasps switchgear in real time.Specifically, one kind has
The generalized information system of long-range self-diagnostic function, the generalized information system should with long-range self-diagnostic function include process layer, wall and station control
Layer, process layer, wall connect with station level difference signal, the sensor device inserted in the design based on GIS, the biography
Sensor arrangement includes current sensor, stroke sensor, SF6 sensors, partial discharge sensor, ECVT, video sensor, vibration biography
Sensor and arrester sensor, the output end two-way signaling connection intelligent terminal of the current sensor, stroke sensor, vibration
Sensor, video sensor, arrester sensor and the equal signal of the output end of SF6 sensors connect on-line monitoring IED input
End, the output end signal of the ECVT are connected with combining unit, the output end signal connection MMS partial discharge IED of partial discharge sensor, institute
Stating process layer includes module, the module for the protection being connected with intelligent terminal signal of observing and controlling, in addition to monitoring IED, MMS on-line
The optical switch of partial discharge IED signals connection, the input of the output end two-way signaling connection IEC61850 communications of optical switch,
The output end of IEC61850 communications is electrically connected with gateway, and signal connects monitoring network (IP communications) on gateway, and (IP leads to monitoring network
Letter) signal connection expert office remote diagnostic center mobile terminal, the movement of expert office remote diagnostic center
Terminal belongs to station level, and isolating device and the control centre of the connection of mutual signal are also included in station level.
A kind of method of the generalized information system with long-range self-diagnostic function as described above, comprises the following steps：
S1：Using technology of Internet of things, information gathering and acquisition are carried out to intelligent GIS device, simple data are carried out
Real-time local analysis has simultaneously carried out alarm to abnormal data and reminded；
S2：The data transferring of substation operation is returned by data diagnosis center by Internet technology；
S3：D-S evidence theory status monitoring decision model of the data diagnosis center based on multi-sensor information fusion；
S4：Establish GIS assessment life model and method.
Further, technology of Internet of things is extension of the internet to physical world, is sensor technology, the communication technology and letter
Cease the product of service technology fusion development.Internet of Things be one based on standard and interoperability communication protocol, there is self-organizing energy
Power, dynamic network infrastructure.In Internet of Things, physics and virtual object have identity label, physical attribute and intelligence
Energy interface, and integrated with existing information network seamless.Technology of Internet of things will form the Complete Information of real physical environment, real
Existing network network ubiquitousization, plays an important role in the development of future source of energy internet.As shown in Fig. 2 intelligent GIS Internet of Things can
3 coating systems being made up of sensing layer, Internet and application layer are divided into, complete perception, reliable transmission, Intelligent treatment are intelligence
The core competence of energy power network Internet of Things.Complete perception refer to using RFID, Quick Response Code, Hall current sensor, stroke sensor,
Vibrating sensor, SF6 sensors, partial discharge sensor, ECVT sensors and video sensor etc. are perceived, captured, the technology of measurement
Means carry out information gathering and acquisition to intelligent GIS device.Internet refers to carry out by various communication networks and internet
Authentic data transmission fusion, the data signal that GIS device is perceived access the information networks of IEC 61850, carry out in real time reliable
Information exchange and shared.Application layer refers to utilize the various intelligent Computation Technologies such as fuzzy diagnosis, cross-region, inter-bank to magnanimity
Industry, interdepartmental data and information are analyzed and processed, and are lifted to GIS device Operational Data Analysis and prediction, are realized intelligent
Decision-making and failure automatic identification.The technology of Internet of things is made up of sensing layer, Internet and application layer, and sensing layer utilizes
RFID application management systems, current sensor, SF6 sensors, partial discharge sensor, ECVT, video sensor and vibrating sensor
Perceive, capture, measurement, RFID application management systems, current sensor, SF6 sensors, partial discharge sensor, ECVT, video sensing
Device and vibrating sensor realize connecting and disconnecting of the circuit by switch, and information gathering and acquisition are carried out to intelligent GIS device；Internet is
Authentic data transmission fusion is carried out by the monitor node of wireless connection, the data signal that GIS device is perceived accesses IEC
61850 information networks carry out reliable information exchange and shared in real time；Will intelligence by using cable or optical fiber in application layer
Terminal, combining unit, the module of on-line monitoring IED and thing network sensing layer connect, and also include Surveillance center in application layer, monitoring
Be connected centrally through fiber optic network or 4G networks with sensing layer, network layer signal, cross-region to magnanimity, it is inter-trade, across portion
The data and information of door are analyzed and processed, and are lifted to GIS device Operational Data Analysis and prediction, are realized intelligentized decision-making
With failure automatic identification.
Intelligent sensor technology is a kind of detection means, measured piece can be converted into signal or other institutes according to certain rules
Need the information of form to export, be the key technology of signal acquisition.Sensor technology the 80's of 20th century with integrated circuit,
Developing rapidly for computer technology starts to be taken seriously, and has become the mainstay of ICT in recent years.In intelligence
Power grid construction field, the application of intelligence sensor are more and more.
With the continuous maturation of intelligent sensor technology, progressively it is applied successfully in AIS transformer stations in recent years, but for
Integrated design and installation has the GIS intelligent substations of intelligence sensor, and intelligence sensor is using installation by adhering in GIS
Or on device housings, particularly active sensor is in the environment that electromagnetism seriously pollutes, in disconnecting switch (DS) and breaker
(CB) up to several hundred million hertz of VFTO can be produced during operation in GIS, and causes the rise (TGPR) of transient state ground potential.Closely
Because Operation switch transition effect causes intelligence sensor sampled data in multiple intelligent substations abnormal or even damages over year
Happened occasionally etc. serious problems, the reliability of intelligence sensor still seriously annoyings its large scale application.From reliability
Angle requirement intellectuality GIS sensors performance include following 4 aspect：
1) signal of equipment state characteristic quantity can be accurately reflected, there is good static characteristic and dynamic characteristic.It is static special
Property refers to sensitivity, resolution ratio, the linearity, the degree of accuracy, stability and the lagging characteristics of sensor；Dynamic characteristic refers to inputting
Output characteristics during change, it characterizes the frequency response characteristic of characteristic, i.e. sensor that sensor input changes over time.
2) output signal of sensor can be well matched with (unified communication protocol) with rear class processing receiving unit.
3) anti-electromagnetic interference capability is strong, reliability is high, real-time is good, the life-span is consistent with GIS bodies.
4) installed using built-in or external, without influence or very little is influenceed on GIS device.
GIS status monitorings include breaker mechanic property monitoring, the monitoring of SF6 gaseous states, arrester status monitoring, part
Discharge examination, the monitoring of disconnecting switch characteristic, contact position detection, breaker Vibration Condition Monitoring, main circuit current and voltage letter
Number monitoring etc..These signals are monitored in real time, it is necessary to be transported in the intelligence sensor collection GIS of GIS bodies installation integrated design
Row data, the information of each sensor collection upload to substation data local analysis center and managed concentratedly.
Further, the basic logic node of the information networks of IEC 61850 is LLNO and LPHD, and logical node is
XCBR, SIMG, GGIO and CALH.IEC 61850 uses Object Oriented Model Making Technology, is modeled towards physical equipment.Such as Fig. 3 institutes
Show, a monitoring function physical equipment (referring to by function classification, there is the physical equipment of certain monitoring function), one should be modeled as
IED objects.One monitoring function physical equipment refers to that the object is a container, includes server (server) object, service
Device describes the behavior of a device external visible (addressable), and each server should at least have an accessing points
(AccessPoint), each server includes one or more logical device LD (logical Device), and logical device has
The logical node LN (Logical Node) of common characteristic, logical device include logical node.Logical node needs to communicate
Each minimum functional unit, comprising data (DATA) object, data object includes all information of logical node.Data object bag
DA containing data attribute (Data-Attribute), it is the final bearer of information in object model.
Include for the breaker state on_line monitoring amount to be monitored, the logical node to be used in intelligent GIS：LLNO
(Logical Node Zero), LPHD (Logical Physical Device), XCBR (Circuit Breaker), SIMU
(Insulation Medium Unit), GGIO (Ge-neric Inputand Output), C A LH (Alarm
Handling), illustrate and be shown in Table 1.Logical node LLNO, LPHD are essential in IEC61850 models 2 in table 1
Logical node.XCBR, SIMG, GGIO, CALH are the logical nodes for realizing SR breaker monitoring functions.
The intelligent GIS state on_line monitorings model for meeting the standards of IEC 61850 is as shown in Figure 4.Included in logical node
Data, some are essential, and some are optional, can be added as needed on into.By taking XCBR as an example, specific breaker
The title of example, path, local operation, operation count, the position of the switch, tripping operation locking, closing locking, breaker operator ability are
Essential.And external equipment is healthy, external equipment nameplate, charging machine are enabled, drop-out current summation, orientation division ability etc. can
To configure as needed.This model sufficiently and reasonably make use of GGIO nodes.The one kind of GGIO nodes as object-oriented modeling
Supplement, for describing the general information that can not be described with certain logic node, the shelf depreciation hereinbefore mentioned, video
The information such as code stream do not have special node in IEC 61850 and corresponded to therewith, can conclude in this node.
Further, the data fusion of the D-S evidence theory status monitoring decision model comprises the following steps：
S1：To same type sensor obtain primary signal carry out pixel-based fusion, mainly include mechanical property sensor,
Current sensor, SF6 sensors, arrester sensor, leakage current sensor, micro- water sensor, mechanical vibration sensor and
Video sensor etc., merge out the optimal value of same type data.
S2：The signal of pixel-based fusion is further pre-processed, removes noise and interference signal as much as possible,
Various sensors are in the strong electromagnetic interference environment of high-voltage large current, the caused VFTO particularly during switching manipulation
With the influence of other overvoltage.
S3：Characteristic value is proposed, characteristics extraction is carried out to the raw information from sensor, characteristic value is measurand
Physical quantity.Single failure and its development trend are tentatively judged in diverse location Monitoring Data characteristic value according to same type sensor.
S4：Each characteristic value is sent into the further breakdown judges of carry out such as fuzzy neural network.
S5：The angle value that is subordinate to of the outputs such as each fuzzy neural network is inputted into D-S evidence theory diagnostic system respectively, carried out
Last decision level fusion, export fault diagnosis result.
It is difficult to protect if monitoring the change of a physical quantity with a sensor in the fault diagnosis of GIS device
The reliability of testing result is demonstrate,proved, therefore is monitored using multiple sensors, and row information is entered to the information of multiple sensors collection
Fusion.Because the information of each sensor collection may draw conflicting conclusion, and often go out in fault diagnosis
Uncertainty now is produced because information is not complete, therefore information fusion is carried out using D-S theoretical evidences.D-S theoretical evidences can be with
Solve some problems occurred in data fusion well.
Compared with single-sensor signal processing mode, Fusion efficiently utilizes multisensor resource letter
The complementarity provided is ceased, it is hereby achieved that detected target and environment more comprehensively information.Its key is data fusion
Handled multi-sensor information has more complicated form, and can occur on different level of information, these information
Abstraction hierarchy includes data Layer, characteristic layer and decision-making level.
For the fault diagnosis of intelligent GIS device, three-level data fusion model is established from low to high.Realize fusion
Process include to sensor obtain initial data carry out data fusion, data prediction, characteristic value proposition, feature-based fusion,
The links such as decision level fusion, result output.Fusion process can carry out three-level fusion, and Fig. 5 illustrates for three-level data fusion process
Figure.Data fusion has following steps：
1) to same type sensor obtain primary signal carry out pixel-based fusion, mainly include mechanical property sensor,
Current sensor, SF6 sensors, arrester, leakage current sensor, micro- water sensor, mechanical vibration sensor and video pass
Sensor etc..Merge out the optimal value of same type data.
2) signal of pixel-based fusion is further pre-processed, removes noise and interference signal as much as possible,
Various sensors are in the strong electromagnetic interference environment of high-voltage large current, the caused VFTO particularly during switching manipulation
With the influence of other overvoltage.
3) characteristic value is proposed, characteristics extraction is carried out to the raw information from sensor, characteristic value is measurand
Physical quantity.Single failure and its development trend are tentatively judged in diverse location Monitoring Data characteristic value according to same type sensor.
4) each characteristic value is sent into the further breakdown judges of carry out such as fuzzy neural network.
5) angle value that is subordinate to of the outputs such as each fuzzy neural network is inputted into D-S evidence theory diagnostic system respectively, carried out
Last decision level fusion, export fault diagnosis result.
Intelligent grid is exactly highly to collect information technology, computer technology, the communication technology and original defeated, power distribution infrastructure
Into and the novel power grid that is formed, have and improve energy efficiency, improve Supply Security, reduce that environment influences, to improve power supply reliable
Property, reduce power transmission network loss the advantages that.Can abstractively it think through research, intelligent grid is exactly that big data this concept exists
The estimation of application specific data amount size in power industry, and intelligent GIS be in intelligent substation most important equipment it
One.For basic data acquisition angle (as shown in the table), be exactly from the different-format of intelligence sensor, feature,
Logically or in storage medium organically central system stores integrated management to the data of property, so as to be the advanced application of data
Analysis provides comprehensive data supporting.Intelligent GIS data integration administrative skill, inclusion relation type and non-relational database
Technology, data fusion and integrated technology, Data Extraction Technology, filtering technique and data cleansing etc., want to handle big data, first
The data of data source must be extracted and integrated, therefrom extract entity and relation, by being used after associating and polymerizeing
Unified structure stores these data as known from Table 2, it is per minute caused by data volume be 12.99M, 18.267G/24 hours,
So big data volume (not calculating historical data) under the conditions of existing hardware either divide in real time by the storage of data or data
Analysis is all by huge challenge, and the fast development of big data and cloud computing technology brings possibility to solve storage and analysis.
As shown in fig. 6, Fig. 6 schematically illustrates the correlation between intelligent GIS, cloud computing, big data three.Cloud meter
Calculation can integrate intelligent grid, and (intelligent generalized information system internal calculation processing and storage resource, improve power network processing and interaction energy
Power, turn into the strong technology composition of power network；Big data technology is rooted in cloud computing, in terms of cloud based on business service demand
Based on calculation technology；Intelligent grid can abstractively be considered application of this concept of big data in power equipment, so three
Person is relation interactively with each other.
Fig. 7 show the operational factor of intelligent GIS device self diagnosis big data cloud computing platform online acquisition GIS device
Data and periodically importing off-line data simultaneously carry out statistical analysis.For GIS device status monitoring big data reliable memory and
It is quick to access two aspect big data processing core problems, use Hadoop cloud to calculate service cluster and HDFS distributed storages system
System.In addition, insulation of status data parallel processing system (PPS) of the design based on MapRe-duce to GIS mathematical modeling submodels is special
Property, mechanical property, the state estimation of mechanical life and electric life, diagnosis and prediction provide high performance computation capability and
General parallel algorithm development environment.Status monitoring decision model switching devices of the expert diagnosis layer based on D-S evidence theory
OBD is carried out, to failure and failure trend prediction, finally obtains the health index for switching residual life and probability of malfunction.
In order to visualize abstract data diagnostic result, visually shown, contribute to operations staff more straight
Pinpoint the problems with seeing, improve plant maintenance efficiency, this paper presents the man-machine interaction of intelligent GIS device remote visualization diagnosis
Scheme, and design to intelligent GIS remote visualizations diagnostic system and specific implementation are studied and explored.Visible human
The module compositions such as machine interactive interface is shown by two-dimensional/three-dimensional, multidimensional data search, video, distribution subscription and configuration.Remote
Diagnostic center is managed and issued to diagnostic result, and human-computer interaction interface sends diagnosis request, is obtaining diagnostic center response
Diagnostic result is shown in the form of three-dimensional visualization afterwards.Remote diagnostic center data communication model is as shown in Figure 8.
Visual GIS human-computer interaction interfaces system realizes the intelligent on-line monitoring of intelligent GIS device, failure quickly look-up, carefully
The functions such as section amplification display, it has following significance.
1) high efficiency.Progressively replace manual site to survey using intellectuality on-line monitoring, improve the work of O＆M/manufacturing firm
Make efficiency, mitigate the workload of relevant people.
2) real-time.Abort situation, detailed operational factor, generating process are checked by the handheld terminal very first time, realized
Device fault information is synchronously known in O＆M and manufactory, shortens failure Deal with Time, prevents failure from further expanding.
3) security.The manual patrol during exceedingly odious weather and grid switching operation is avoided, staff is reduced and exists
The security risk of substation field work.
Initiation parameter configuration, including knowledge can be carried out to Remote diagnostic center by the man-machine configuration interfaces of Fig. 9
The relevant parameter such as storehouse, issue and subscription, thresholding and alarming value.
At present, the inspection of transformer station mostly using field test record, then take back data center carry out analyzing and processing and
Fed back more by the way of fax, mail and phone to manufacturing firm.On the one hand this pattern can not support site environment
The Real-Time Sharing of information, on the other hand also tend to can not both pictures and texts are excellent comprehensively ground consersion unit produced problem, shortage fed back
The record of journey, device fabrication producer can not accurately obtain the details of equipment fault the very first time.Current mobile Internet skill
The mobile devices such as mobile phone, PDA that develop into of art carry out data and monitor, gather and transmission provides technical support in real time.The present invention
It is proposed integrates PDA, Mobile GIS, and the long-range self diagnosis movement APP based on Android operation system, it has peace
Dress, carry, operation it is convenient, simple to operate, data transmission bauds is fast, the features such as gathering Diversity of information, can supervise whenever and wherever possible
Control collection information, information is reported, and space (such as longitude and latitude) and more can also be gathered in information gathering feedback procedure simultaneously
Media (such as photo, video) information.
APP systems are generally designed to C/S frameworks, and client (smart mobile phone) is responsible for foreground interface display and information is adopted
Collection, server (Remote diagnostic center) are responsible for data receiver and storage.Client functionality is mainly as shown in Figure 10, is divided into and matching somebody with somebody
Confidence breath, in real time historical data, 5 monitoring, essential information and interactive mode modules.
Further, the mobile terminal of expert office remote diagnostic center is smart mobile phone, above and below smart mobile phone
Long-range self diagnosis movement APP is carried, includes configuration information, historical data, in real time detection, basic letter in long-range self diagnosis movement APP
Breath and 5 modules of interactive mode, the configuration information, in real time historical data, 5 detection, essential information and interactive mode modules
It is each responsible for publish/subscribe/short message/Email, query search, real time data residual life probability of malfunction, transformer station list/bis-
Tie up code/user's registration/latest edition/product information, picture/video/voice.
As shown in figure 11, allusion quotation of the mobile Internet (long-range self diagnosis moves APP) on intelligent substation intellectuality GIS
Type application, one side manufacturing firm attendant and transformer station's operation maintenance personnel are long-range from big data/cloud computing by mobile phone terminal
The data such as the operation health index of switchgear are obtained on diagnostic center in real time, while can be entered with regard to the critical data of institute's critical concern
Row issue, subscription and diagnostic center carry out interactive.Transformer station's operation maintenance personnel can be scanned on intelligent GIS by hand-held terminal device
Quick Response Code reference device the common data such as dispatch from the factory, these data manufacturing firms have been cured distributed in diagnostic center HDFS
In storage system, at the same can by number of ways such as word, picture and videos to equipment emerged in operation the problem of in real time to
Manufacturing firm is fed back, and feedback information once enters data diagnosis center, and the feedback can be immediately sent to the association of this product
On attendant's handheld terminal.Attendant replys the processing plan of operation maintenance personnel manufacturing firm according to problem severity at once
Deng.The application of mobile Internet and correlation technique in intelligent substation will fundamentally improve and perfect power system production,
Operation and management mode.
The present invention gives the characterizing definition of the intelligent GIS with Remote self-diagnostic function first, to Internet of Things
The concrete application of technology, Internet technology and development of Mobile Internet technology on intelligent GIS.System is put in being designed based on GIS
The various sensors entered, including Hall current sensor, stroke sensor, SF6 sensors, partial discharge sensor, micro- water sensing
Device, ECVT sensors and video sensor etc. perceive, and using technology of Internet of things means, enter row information to intelligent GIS device and adopt
Collection and acquisition, simple data are carried out with real-time local analysis and alarm has been carried out to abnormal data reminding；Pass through internet
The data transferring of substation operation is gone back to data diagnosis center by technology, and data diagnosis center is based on multi-sensor information fusion
D-S evidence theory status monitoring decision model, establish GIS assessment life model.The model is using multivariable association point
Analysis and Main factor analysis method, assess the degree of association and sensitiveness of life model parameter, and are concluded and be fused to step analysis
In structural model, GIS state information can be held comprehensively, weakens assessment errors caused by single parameter.Based on big data,
The technologies such as cloud computing carry out real-time OBD, failure automatic identification to GIS device situation.It will be examined finally by mobile Internet
Disconnected result reports operation maintenance personnel, realizes the state that equipment O＆M department grasps switchgear in real time, for transformer station change with
It is past regular or maintenance model provides true and reliable real time data to the transformation of repair based on condition of component direction afterwards.
Although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of changes, modification can be carried out to these embodiments, replace without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (6)
- A kind of 1. generalized information system with long-range self-diagnostic function, it is characterised in that：This has the GIS systems of long-range self-diagnostic function System includes process layer, wall and station level, and process layer, wall connect with station level difference signal, described to be designed based on GIS In the sensor device inserted, the sensor device includes current sensor, stroke sensor, SF6 sensors, partial discharge sensing Device, ECVT, video sensor, vibrating sensor and arrester sensor, the output end two-way signaling of the current sensor connect Connect intelligent terminal, stroke sensor, vibrating sensor, video sensor, the output end of arrester sensor and SF6 sensors are equal Signal connection on-line monitoring IED input, the output end signal of the ECVT are connected with combining unit, partial discharge sensor it is defeated Go out end signal connection MMS partial discharges IED, the process layer includes the module of observing and controlling, the mould for the protection being connected with intelligent terminal signal Block, in addition to the optical switch being connected with on-line monitoring IED, MMS partial discharge IED signals, the output end two-way signaling of optical switch The input of IEC61850 communications is connected, the output end of IEC61850 communications electrically connects gateway, and signal connects monitoring network on gateway Network (IP communications), the mobile terminal of monitoring network (IP communications) signal connection expert office remote diagnostic center, the expert The mobile terminal of office's remote diagnostic center belongs to station level, also include in station level the connection of mutual signal isolating device and Control centre.
- 2. the generalized information system according to claim 1 with long-range self-diagnostic function, it is characterised in that：Expert's office The mobile terminal of room remote diagnostic center is smart mobile phone, is downloaded on smart mobile phone and installs long-range self diagnosis movement APP, remotely certainly Include configuration information, in real time historical data, 5 detection, essential information and interactive mode modules in the mobile APP of diagnosis, it is described to match somebody with somebody Confidence breath, historical data, in real time detection, 5 modules of essential information and interactive mode be each responsible for publish/subscribe/short message/ Email, query search, real time data residual life probability of malfunction, transformer station's list/Quick Response Code/user's registration/latest edition/ Product information, picture/video/voice.
- A kind of 3. GIS methods as claimed in claim 1 or 2 with long-range self-diagnostic function, it is characterised in that including following Step：S1：Information gathering and acquisition are carried out to intelligent GIS device using Internet of Things, simple data carried out in real time on the spot Analyze and alarm has been carried out to abnormal data and remind；S2：The data transferring of substation operation is returned by data diagnosis center by internet；S3：D-S evidence theory status monitoring decision model of the data diagnosis center based on multi-sensor information fusion；S4：Establish GIS assessment life model and method.
- 4. the GIS methods according to claim 3 with long-range self-diagnostic function, it is characterised in that：The Internet of Things bag Sensing layer, Internet and application layer are included, sensing layer utilizes RFID application management systems, current sensor, SF6 sensors, office Sensor, ECVT, video sensor and vibrating sensor is put to perceive, capture, measure, RFID application management systems, current sense Device, SF6 sensors, partial discharge sensor, ECVT, video sensor and vibrating sensor realize connecting and disconnecting of the circuit by switch, to intelligence GIS device can be changed and carry out information gathering and acquisition；Internet is to carry out authentic data transmission by the monitor node of wireless connection Fusion, the data signal access information networks of IEC 61850 that GIS device perceives are subjected to reliable information exchange in real time and are total to Enjoy；By using cable or optical fiber by intelligent terminal, combining unit, on-line monitoring IED and thing network sensing layer in application layer Module connection, Surveillance center is also included in application layer, Surveillance center passes through fiber optic network or 4G networks and sensing layer, network Layer signal connects, and cross-region to magnanimity, inter-trade, interdepartmental data and information analyze and process, and are lifted to GIS device Operational Data Analysis and prediction, realize intelligentized decision-making and failure automatic identification.
- 5. the GIS methods according to claim 4 with long-range self-diagnostic function, it is characterised in that：The IEC 61850 The basic logic node of information network is LLNO and LPHD, logical node XCBR, SIMG, GGIO and CALH.
- 6. the GIS methods according to claim 3 with long-range self-diagnostic function, it is characterised in that：The D-S evidences reason Data fusion by status monitoring decision model comprises the following steps：S1：Pixel-based fusion is carried out to the primary signal that same type sensor obtains, mainly includes mechanical property sensor, electric current Sensor, SF6 sensors, arrester sensor, leakage current sensor, micro- water sensor, mechanical vibration sensor and video Sensor, merge out the optimal value of same type data；S2：The signal of pixel-based fusion is further pre-processed, removes noise and interference signal as much as possible, it is various Sensor is in the strong electromagnetic interference environment of high-voltage large current, particularly during switching manipulation caused VFTO and its The influence of his overvoltage；S3：Characteristic value is proposed, characteristics extraction is carried out to the raw information from sensor, characteristic value is the physics of measurand Amount, tentatively judges single failure and its development trend according to same type sensor in diverse location Monitoring Data characteristic value；S4：Each characteristic value is sent into the further breakdown judges of carry out such as fuzzy neural network；S5：The angle value that is subordinate to of the outputs such as each fuzzy neural network is inputted into D-S evidence theory diagnostic system respectively, carried out last Decision level fusion, export fault diagnosis result.
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