CN107682429A - A kind of electric power Internet of things system based on equipment information collection with management - Google Patents
A kind of electric power Internet of things system based on equipment information collection with management Download PDFInfo
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- CN107682429A CN107682429A CN201710884398.3A CN201710884398A CN107682429A CN 107682429 A CN107682429 A CN 107682429A CN 201710884398 A CN201710884398 A CN 201710884398A CN 107682429 A CN107682429 A CN 107682429A
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- 238000003745 diagnosis Methods 0.000 claims abstract description 45
- 230000003862 health status Effects 0.000 claims abstract description 10
- 238000007726 management method Methods 0.000 claims description 45
- 238000013523 data management Methods 0.000 claims description 27
- 230000003993 interaction Effects 0.000 claims description 14
- 230000001419 dependent effect Effects 0.000 claims description 6
- 238000003860 storage Methods 0.000 claims description 5
- 238000007405 data analysis Methods 0.000 claims description 3
- 238000007418 data mining Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 235000013399 edible fruits Nutrition 0.000 claims description 2
- 238000012423 maintenance Methods 0.000 abstract description 15
- 238000011161 development Methods 0.000 abstract description 4
- 230000008859 change Effects 0.000 description 5
- 238000013461 design Methods 0.000 description 5
- 238000013500 data storage Methods 0.000 description 4
- 238000000034 method Methods 0.000 description 4
- 238000007689 inspection Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000002946 Total quality control Methods 0.000 description 2
- 230000004888 barrier function Effects 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 238000000465 moulding Methods 0.000 description 2
- 230000001960 triggered effect Effects 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 230000009466 transformation Effects 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
- H04L67/12—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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
- G06K17/0029—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device the arrangement being specially adapted for wireless interrogation of grouped or bundled articles tagged with wireless record carriers
-
- H04B5/77—
Abstract
The invention discloses a kind of electric power Internet of things system based on equipment information collection with management, it is related to the intelligent management technical field of grid equipment.The electric power Internet of things system based on equipment information collection with management, including RF tag, frequency read/write and database server；Facility information data in RF tag are obtained by frequency read/write, and sends database server to and carries out diagnosis judgement；Diagnostic result is obtained after carrying out logic matching operation by the failure diagnosis reasoning machine in database server, obtain the health status of equipment, more fully understand the health status of equipment, realize the management of equipment life cycle management, help to realize the plant asset management to become more meticulous, accelerate equipment cost and collect speed, contribute to reasonable assessment equipment lifecycle management cost, auxiliary equipment renovates policy development, holding equipment maintenance decision.
Description
Technical field
The invention belongs to the intelligent management technical field of grid equipment, more particularly to it is a kind of based on equipment information collection with
The electric power Internet of things system of management.
Background technology
The quality stage management of each power supply enterprise's transformer belonging to grid company is the key issue for influenceing power grid security,
Need on the basis of type selecting, installation, operation, management four processes are strictly got hold of, controlled according to quality inspection, statistical quality
With total quality control three phases emphases of supervision, carry out to equipment carry out asset life cycle management, i.e., from Electric Power Network Planning,
Project feasibility study, engineering design, to lectotype selection, purchase, supervise make, install, debug, check and accept, run, safeguard, overhaul, transform and
The retired Whole Course Management scrapped, plant life cycle expense is most economical, overall equipment effectiveness supreme good to reach, and makes
The running situation of equipment is timely fed back to the departments such as design, handling of goods and materials, installation, manufacture, updates design and product quality,
To improve the Performance And Reliability of equipment itself.
Current equipment management system, on the one hand it is collection and the unit check rank for only residing within device product information
The quality information of section, the quality inspection at buying initial stage is relied solely on to realize, and to post facility for the state estimation of equipment
Health status after putting into operation effectively can not be assessed and be managed collectively, it is impossible to the health status of real reflection equipment comprehensively；Separately
On the one hand, in the total quality control stage, because the transformer quantity of scene operation is big, distribution is wide, more than data type and believes
The influence of barrier is ceased, constrains the live operational outfit level of controls such as accurate evaluation equipment operation process, safe mass.
The content of the invention
In view of the shortcomings of the prior art, the present invention provides a kind of electric power Internet of Things system based on equipment information collection with management
System.
The present invention is that solve above-mentioned technical problem by the following technical solutions：One kind based on equipment information collection with
The electric power Internet of things system of management, including RF tag, frequency read/write and server；The RF tag includes connecting successively
First antenna, the first radio-frequency module, the first control module and the memory module connect；The frequency read/write include CPU and
The second antenna, the second radio-frequency module, transceiver module, the second control module and the display module being connected respectively with CPU；Described
Two antennas, the second radio-frequency module, transceiver module and the second control module are sequentially connected；
The first antenna, the electromagnetic wave energy for being sent by absorbing the frequency read/write are sent out to obtain frequency read/write
The signal gone out；First radio-frequency module, for the signal of acquisition is demodulated, decode, decrypt after be sent to the first control
Module, or the echo-signal sent to first control module are encrypted, encode and modulated；First control module,
For handling the signal received, and obtain corresponding information from memory module and form corresponding echo-signal, and
It is sent to first radio-frequency module；The memory module, the maintenance of account information and correlation for storing power equipment
Data；
Second antenna, the signal sent for capturing the RF tag；Second radio-frequency module, for launching radio frequency
Energy absorbs for RF tag, and the radio frequency label echo signal of acquisition is demodulated, decoded, decrypt after be sent to transmitting-receiving
Module；The transceiver module, the signal data sent for receiving the second radio-frequency module, or send signal to the second radio-frequency module
Data；Second control module, for handling the signal data received, and the work of the second radio-frequency module is triggered,
And it is controlled to receiving or sending signal data；The CPU, for being controlled to all programs of frequency read/write and
Management, the inquiry and read-write to facility information are realized by display module, the data in RF tag is corrected, transfers storage number
According to simply judging equipment current state according to data storage；
The server includes database server and application server, and the database server is related for storage facilities
Information data；The application server is connected by wired or wireless network with the frequency read/write, database server, is led to
Cross the facility information data that expertise and case are sent to the frequency read/write and carry out data mining and analysis judgement, really
The health status of locking equipment, slave unit type selecting is realized, purchased, supervised and make, install, debugging, checking and accepting, to equipment operation, safeguarded, inspection
Repair, transform and the retired Whole Course Management scrapped, really realize the management of equipment life cycle management, contribute to realization to become more meticulous
Plant asset management, accelerate equipment cost collect speed, contribute to reasonable assessment equipment lifecycle management cost, aid in
Equipment rehabilitation policy development, holding equipment maintenance decision.
Further, Fault-diagnosis Expert System, expert's fault diagnosis system are deployed with the application server
System includes human-computer interaction interface, data input cell, failure diagnosis reasoning machine, Data Management Unit and knowledge acquisition unit；
The failure diagnosis reasoning machine is connected with the data input cell, Data Management Unit and knowledge acquisition unit respectively, institute
Knowledge acquisition unit is stated to be connected with the Data Management Unit and human-computer interaction interface respectively；The data input cell passes through net
Network is connected with frequency read/write, database server respectively；
The data input cell, for obtaining facility information data by frequency read/write, and send database server to
And failure diagnosis reasoning machine, provide data supporting for fault diagnosis reasoning；The failure diagnosis reasoning machine, for entering data into
Expertise in facility information and Data Management Unit that unit is transmitted carries out logic matching operation, obtains diagnostic result,
And the diagnostic result for selecting to need to export sends knowledge acquisition unit to；The Data Management Unit, for storing power equipment
Related expertise or fault case；The knowledge acquisition unit, for by diagnostic result be sent to Data Management Unit and
Human-computer interaction interface, the data in constantly improve Data Management Unit, and fed back to diagnostic result by human-computer interaction interface
User, diagnostic result is managed and safeguarded.
Further, the failure diagnosis reasoning machine includes reliability assessment module, the fault diagnosis module being sequentially connected
And result output module；The reliability assessment module, the facility information data for being inputted to data input cell are carried out
The assessment of confidence level, obtain the facility information data with confidence level；The fault diagnosis module, for according to Data Management Unit
Expertise the facility information data with confidence level are judged, reasoning processing, diagnostic result is exported；The result is defeated
Go out module, for diagnostic result to be exported to human-computer interaction interface.
Further, the fault diagnosis module pushes away including forward reasoning, backward reasoning, the framework rule based on possibility
Reason.
Further, the Data Management Unit includes expert knowledge library and case library.
Further, the device-dependent message data in the database server include equipment purchase of goods and materials information, set
Standby put into operation information, overhaul of the equipments information and equipment move back fortune information.
Further, the RF tag also includes randomizer, the randomizer and the described first control
Molding block connects, for protecting the safety of RF tag key and data；Can preferable protection information using randomizer
Safety.
Further, the RF tag is pasted onto at the famous brand of power equipment.
Compared with prior art, the electric power Internet of things system provided by the present invention based on equipment information collection with management,
Including RF tag, frequency read/write and database server；The equipment obtained by frequency read/write in RF tag is believed
Data are ceased, and sends database server to and carries out diagnosis judgement；Entered by the failure diagnosis reasoning machine in database server
Diagnostic result is obtained after row logic matching operation, obtains the health status of equipment, more fully understands the health status of equipment, it is real
The management of existing equipment life cycle management, help to realize the plant asset management to become more meticulous, accelerate equipment cost and collect speed, have
Help reasonable assessment equipment lifecycle management cost, auxiliary equipment renovates policy development, holding equipment maintenance decision；
The present invention has got through equipment purchase by RFID technique, overhaul of the equipments, equipment move back the information barrier for transporting several big links, allows equipment
State evaluation information is more comprehensively accurate, and the also type selecting for subsequent delta equipment and design provides data supporting.
Brief description of the drawings
In order to illustrate more clearly of technical scheme, the required accompanying drawing used in being described below to embodiment
It is briefly described, it should be apparent that, drawings in the following description are only one embodiment of the present of invention, general for this area
For logical technical staff, on the premise of not paying creative work, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is a kind of structured flowchart based on equipment information collection with the electric power Internet of things system of management of the present invention；
Fig. 2 is the structured flowchart of Fault-diagnosis Expert System in application server of the present invention.
Embodiment
With reference to the accompanying drawing in the embodiment of the present invention, the technical scheme in the present invention is clearly and completely described,
Obviously, described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.Based in the present invention
Embodiment, the every other embodiment that those of ordinary skill in the art are obtained on the premise of creative work is not made,
Belong to the scope of protection of the invention.
As shown in figure 1, a kind of electric power Internet of things system based on equipment information collection with management provided by the present invention, bag
Include RF tag, frequency read/write and server；RF tag include be sequentially connected first antenna, the first radio-frequency module,
First control module and memory module；Frequency read/write includes CPU, and be connected respectively with CPU the second antenna, second penetrate
Frequency module, transceiver module, the second control module and display module；Second antenna, the second radio-frequency module, transceiver module and
Two control modules are sequentially connected.
First antenna, what the electromagnetic wave energy for being sent by absorbing frequency read/write sent to obtain frequency read/write
Signal；First radio-frequency module, for the signal of acquisition is demodulated, decode, decrypt after be sent to the first control module, it is or right
The echo-signal that first control module is sent is encrypted, encodes and modulated；First control module, for the signal to receiving
Handled, and obtain corresponding information from memory module and form corresponding echo-signal, and be sent to the first radio-frequency module；
Memory module is erasable memory, for storing the account information of power equipment and the overhaul data of correlation, the maintenance number
According to can be updated or change by frequency read/write, maintenance operation maintenance personnel is read in corresponding station by radio frequency
Write device and corresponding overhaul data is downloaded from database server, and updated by frequency read/write or change RF tag and stored
Overhaul data in module, ensure that the facility information in RF tag is latest data, so that application server Accurate Diagnosis is set
Standby health status, realize the monitoring of equipment life cycle management.
Second antenna, the signal sent for capturing RF tag；Second radio-frequency module, for launch RF energy for
RF tag absorbs, and the radio frequency label echo signal of acquisition is demodulated, decoded, decrypt after be sent to transceiver module；Receive
Module is sent out, the signal data sent for receiving the second radio-frequency module, or send signal data to the second radio-frequency module；Second control
Molding block, for handling the signal data received, and the work of the second radio-frequency module is triggered, and to receiving or sending
Signal data is controlled；CPU, it is real by display module for all programs of frequency read/write to be controlled and managed
The now inquiry and read-write to facility information, the data in RF tag are corrected, data storage is transferred, is simply sentenced according to data storage
Disconnected equipment current state；
Server includes database server and application server, database server, for storage facilities relevant information data；
Application server is connected by wired or wireless network with frequency read/write, database server, passes through expertise and case
The facility information data sent to frequency read/write carry out data mining and analysis judges, determine the health status of equipment, real
Existing slave unit type selecting, purchase, supervise and make, install, debugging, checking and accepting, to equipment operation, safeguarding, maintenance, transform and retired scrap
Whole Course Management, the management of equipment life cycle management is really realized, help to realize the plant asset management to become more meticulous, accelerate to set
Standby cost accumulation speed, contributes to reasonable assessment equipment lifecycle management cost, and auxiliary equipment renovates policy development,
Holding equipment maintenance decision.
As shown in Fig. 2 disposing Fault-diagnosis Expert System on the application server, Fault-diagnosis Expert System includes man-machine
Interactive interface, data input cell, failure diagnosis reasoning machine, Data Management Unit and knowledge acquisition unit；Fault diagnosis pushes away
Reason machine is connected with data input cell, Data Management Unit and knowledge acquisition unit respectively, knowledge acquisition unit respectively with number
Connected according to administrative unit with human-computer interaction interface；Data input cell by network respectively with frequency read/write, database service
Device connects.
Data input cell, for obtaining facility information data by frequency read/write, and send database server to
And failure diagnosis reasoning machine, provide data supporting for fault diagnosis reasoning；Failure diagnosis reasoning machine, for entering data into unit
Expertise in the facility information and Data Management Unit that are transmitted carries out logic matching operation, obtains diagnostic result, and select
The diagnostic result that selecting needs to export sends knowledge acquisition unit to；Data Management Unit, for storing the special of power equipment correlation
Family's knowledge or fault case；Knowledge acquisition unit, for diagnostic result to be sent into Data Management Unit and human-computer interaction interface,
Data in constantly improve Data Management Unit, and diagnostic result is fed back to by user by human-computer interaction interface, diagnosis is tied
Fruit is managed and safeguarded.
Failure diagnosis reasoning machine includes reliability assessment module, fault diagnosis module and the result output mould being sequentially connected
Block；Reliability assessment module, the facility information data for being inputted to data input cell carry out the assessment of confidence level, obtain band
The facility information data of confidence level；Fault diagnosis module, for according to the expertise of Data Management Unit to confidence level
Facility information data are judged, reasoning processing, and diagnostic result is exported；As a result output module, for diagnostic result to be exported
To human-computer interaction interface.Fault diagnosis module includes forward reasoning, backward reasoning, the framework rule-based reasoning based on possibility.
Data Management Unit includes expert knowledge library and case library.
Device-dependent message data in database server include equipment purchase of goods and materials information, putting equipment in service information, set
Standby service information and equipment move back fortune information.
RF tag is pasted onto at the famous brand of power equipment；RF tag also includes randomizer, and random number occurs
Device is connected with the first control module, for protecting the safety of RF tag key and data；Can be preferably using randomizer
Protection information safety.
Electric power Internet of things system provided by the invention reads setting in RF tag on power equipment by frequency read/write
Standby relevant information, by the display module on frequency read/write, maintenance operation maintenance personnel can be inquired about and corrected to facility information,
And it can simply judge equipment current state；Frequency read/write is connected by wired or wireless network mode and application server
Connect, fault diagnosis is carried out to device-dependent message by the Fault-diagnosis Expert System of application server, obtains diagnostic result, will
Diagnostic result feeds back to maintenance operation maintenance personnel, and stores the Data Management Unit into Fault-diagnosis Expert System, enriches expert
Knowledge base and case library, improve database in real time；Simultaneously by the device-dependent message to database server, realize that slave unit is selected
Type, purchase, supervise and make, install, debugging, checking and accepting, to equipment operation, maintenance, maintenance, transformation and the retired overall process pipe scrapped
Reason, really realizes the management of equipment life cycle management；Device-dependent message in RF tag can be by frequency read/write from change
Download in the database server in power station and be updated or change, ensure that the facility information that RF tag is covered is newest shape
State data, so that the data that Fault-diagnosis Expert System is diagnosed are newest, most accurate data, more really reflection equipment shows
It is stateful, and the various status datas of equipment life cycle management are all stored in database server, realize the equipment life-cycle
The management in cycle, the also type selecting for subsequent delta equipment and design provide data supporting.
The present invention realizes the life cycle management information management of electric power asset equipment, radio frequency mark by RFID wireless radio-frequencies
Label are with the waterproof not available for bar coded sticker, antimagnetic, high temperature resistant, service life is long, reading distance, big, data can add
The advantages that close, storage data quantity is greatly and data storage can be changed.
Above disclosed is only the embodiment of the present invention, but protection scope of the present invention is not limited thereto,
Any one skilled in the art the invention discloses technical scope in, can readily occur in change or modification, all
It should be included within the scope of the present invention.
Claims (8)
- A kind of 1. electric power Internet of things system based on equipment information collection with management, it is characterised in that：Including RF tag, radio frequency Read write line and server；The RF tag includes first antenna, the first radio-frequency module, the first control module being sequentially connected And memory module；The frequency read/write includes CPU, and be connected respectively with CPU the second antenna, the second radio-frequency module, Transceiver module, the second control module and display module；Second antenna, the second radio-frequency module, transceiver module and second Control module is sequentially connected；The server includes database server and application server, and the database server is related for storage facilities Information data；The application server is connected by wired or wireless network with the frequency read/write, database server, is led to Cross the facility information data that expertise and case are sent to the frequency read/write and carry out data mining and analysis judgement, really The health status of locking equipment, realize the management of equipment life cycle management.
- 2. the electric power Internet of things system based on equipment information collection with management as claimed in claim 1, it is characterised in that：Institute State and Fault-diagnosis Expert System is deployed with application server, the Fault-diagnosis Expert System includes human-computer interaction interface, number According to input block, failure diagnosis reasoning machine, Data Management Unit and knowledge acquisition unit；The failure diagnosis reasoning machine difference Be connected with the data input cell, Data Management Unit and knowledge acquisition unit, the knowledge acquisition unit respectively with institute Data Management Unit is stated to connect with human-computer interaction interface；The data input cell by network respectively with frequency read/write, number Connected according to storehouse server；The data input cell, for obtaining facility information data by frequency read/write, and send database server to And failure diagnosis reasoning machine, provide data supporting for fault diagnosis reasoning；The failure diagnosis reasoning machine, for entering data into Expertise in facility information and Data Management Unit that unit is transmitted carries out logic matching operation, obtains diagnostic result, And the diagnostic result for selecting to need to export sends knowledge acquisition unit to；The Data Management Unit, for storing power equipment Related expertise or fault case；The knowledge acquisition unit, for by diagnostic result be sent to Data Management Unit and Human-computer interaction interface, the data in constantly improve Data Management Unit, and fed back to diagnostic result by human-computer interaction interface User, diagnostic result is managed and safeguarded.
- 3. the electric power Internet of things system based on equipment information collection with management as claimed in claim 2, it is characterised in that：It is described Failure diagnosis reasoning machine includes reliability assessment module, fault diagnosis module and the result output module being sequentially connected；It is described Reliability assessment module, the facility information data for being inputted to data input cell carry out the assessment of confidence level, and obtaining band can The facility information data of reliability；The fault diagnosis module, for the expertise according to Data Management Unit to band confidence level Facility information data judged, reasoning processing, diagnostic result is exported；The result output module, for diagnosis to be tied Fruit is exported to human-computer interaction interface.
- 4. the electric power Internet of things system based on equipment information collection with management as claimed in claim 3, it is characterised in that：It is described Fault diagnosis module includes forward reasoning, backward reasoning, the framework rule-based reasoning based on possibility.
- 5. the electric power Internet of things system based on equipment information collection with management as claimed in claim 2, it is characterised in that：It is described Data Management Unit includes expert knowledge library and case library.
- 6. the electric power Internet of things system based on equipment information collection with management as claimed in claim 1, it is characterised in that：It is described Device-dependent message data in database server include equipment purchase of goods and materials information, putting equipment in service information, overhaul of the equipments letter Breath and equipment move back fortune information.
- 7. the electric power Internet of things system based on equipment information collection with management as claimed in claim 1, it is characterised in that：It is described RF tag also includes randomizer, and the randomizer is connected with first control module.
- 8. the electric power Internet of things system based on equipment information collection with management as described in claim 1 or 7, it is characterised in that： The RF tag is pasted onto at the famous brand of power equipment.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710884398.3A CN107682429A (en) | 2017-09-26 | 2017-09-26 | A kind of electric power Internet of things system based on equipment information collection with management |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710884398.3A CN107682429A (en) | 2017-09-26 | 2017-09-26 | A kind of electric power Internet of things system based on equipment information collection with management |
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| CN107682429A true CN107682429A (en) | 2018-02-09 |
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| CN201710884398.3A Pending CN107682429A (en) | 2017-09-26 | 2017-09-26 | A kind of electric power Internet of things system based on equipment information collection with management |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110336382A (en) * | 2019-08-01 | 2019-10-15 | 广东电网有限责任公司 | A kind of confirmation method, device, equipment and the medium of electric network fault warning information |
| CN110794799A (en) * | 2019-11-28 | 2020-02-14 | 桂林电子科技大学 | Big data system with fault diagnosis function applied to industrial production |
| CN110991584A (en) * | 2019-12-11 | 2020-04-10 | 中国南方电网有限责任公司 | Power distribution room asset checking system, method and device and computer equipment |
| CN112734226A (en) * | 2021-01-08 | 2021-04-30 | 国家电网有限公司客户服务中心 | Data asset management method for power customer service business |
| CN115372759A (en) * | 2022-10-19 | 2022-11-22 | 国网浙江省电力有限公司温州供电公司 | Cable fault diagnosis system and method for secondary circuit of transformer substation |
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| CN106802599A (en) * | 2017-02-17 | 2017-06-06 | 巴音郭楞职业技术学院 | A kind of diagnosing fault of power transformer system based on expert database |
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| CN103345673A (en) * | 2013-07-08 | 2013-10-09 | 国家电网公司 | Electric power asset whole life-cycle monitoring system |
| CN105719058A (en) * | 2016-01-15 | 2016-06-29 | 国网江西省电力科学研究院 | Electric power demand-side management auxiliary decision support system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110336382A (en) * | 2019-08-01 | 2019-10-15 | 广东电网有限责任公司 | A kind of confirmation method, device, equipment and the medium of electric network fault warning information |
| CN110794799A (en) * | 2019-11-28 | 2020-02-14 | 桂林电子科技大学 | Big data system with fault diagnosis function applied to industrial production |
| CN110991584A (en) * | 2019-12-11 | 2020-04-10 | 中国南方电网有限责任公司 | Power distribution room asset checking system, method and device and computer equipment |
| CN112734226A (en) * | 2021-01-08 | 2021-04-30 | 国家电网有限公司客户服务中心 | Data asset management method for power customer service business |
| CN115372759A (en) * | 2022-10-19 | 2022-11-22 | 国网浙江省电力有限公司温州供电公司 | Cable fault diagnosis system and method for secondary circuit of transformer substation |
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Application publication date: 20180209 |