CN106570613A - Secondary equipment maintenance strategy generation method based on state monitoring - Google Patents
Secondary equipment maintenance strategy generation method based on state monitoring Download PDFInfo
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Abstract
The objective of the invention is to provide a secondary equipment maintenance strategy generation method based on state monitoring. According to the method, a secondary equipment state monitoring model and a state maintenance strategy model are established, and the secondary equipment state monitoring data are organically combined with formulation of the equipment maintenance strategy so that different monitoring state quantities of equipment can be alarmed, the maintenance strategy meeting the state quantity alarm situation is given and thus the technical support is provided for formulation of the secondary equipment maintenance strategy; and when the equipment monitoring state quantity changes, the maintenance strategy model can be timely updated so that the maintenance strategy is enabled to meet the new requirement of equipment monitoring. The method comprises the following steps that a secondary equipment state monitoring information table is established, a secondary equipment state maintenance strategy information table is established, the secondary equipment state monitoring data are acquired from a transformation substation in real time and the data are analyzed and processed so as to generate corresponding alarm information, and the secondary equipment state maintenance strategy is formed according to the equipment real-time monitoring information and the alarm information with combination of a maintenance strategy knowledge base.
Description
Technical field
The present invention relates to Operation of Electric Systems and management domain, relate in particular to a kind of set based on the secondary of status monitoring
Standby Strategies of Maintenance generation method.
Background technology
The repair based on condition of component of secondary device is study hotspot both domestic and external, and many scholars both domestic and external have carried out correlation and ground
Study carefully, at present, electric power enterprise carries out the research of secondary device repair based on condition of component and the thinking of engineer applied mainly to be had in terms of two：One is foundation
Secondary device self-inspection and health information acquisition system, are effectively monitored to equipment state, according to state analysiss, are examined
Disconnected, assessment result purposefully arranges maintenance solution.Another thinking is that the non-status information to backstage carries out data mining,
Comprehensive analysis and shape are carried out by the information such as event report or the recorder data on station level backstage are delivered to devices such as protections
State is assessed, and comes guidance system locking equipment repair time and project.There are the following problems for current Strategies of Maintenance formulating method：Current two
The formulation of secondary device repair based on condition of component strategy, mainly according to maintenance experience and regulatory, Strategies of Maintenance knowledge base is based on maintenance
Regulations and producer's overhaul manual, once after formulating, will not change substantially, in equipment running process, equipment occurs itself
New problem has new equipment to introduce system, and Strategies of Maintenance cannot meet new demand, also no consersion unit O＆M skill
The maintenance experience of art personnel.When repair based on condition of component strategy is formulated according to the result of state estimation, it is possible that inspection cannot be generated
Repair strategy or produce incorrect Strategies of Maintenance situation, and then affect overhaul of the equipments efficiency.
The content of the invention
In order to overcome the above-mentioned deficiencies of the prior art, the present invention proposes a kind of secondary device based on status monitoring and overhauls
Strategy-generating method, the method by setting up secondary device status monitoring model and repair based on condition of component Policy model, by secondary device
Condition Monitoring Data and Tactial problem are formulated and are combined, can the different monitoring state amount alarm of equipment, be given
Meet the Strategies of Maintenance in the case of the quantity of state is alerted, the formulation for secondary device Strategies of Maintenance provides technical support；Work as equipment
When monitoring state amount changes, Strategies of Maintenance can be made to meet new monitoring of equipment need by the Strategies of Maintenance model that upgrades in time
Ask.
The present invention realizes a kind of secondary device Strategies of Maintenance generation method based on status monitoring, comprises the steps：
(1) secondary device status monitoring model configuration：Secondary device monitoring state amount configuration information table is set up, is realized secondary
The importing of equipment state amount information, modification, configuration operation, save as secondary device monitoring state amount configuration information storehouse；
(2) secondary device repair based on condition of component strategy configuration：Secondary device Strategies of Maintenance information table is set up, overhaul of the equipments plan is realized
Corresponding relation slightly with equipment state amount warning information, forms secondary device Strategies of Maintenance knowledge base；
(3) secondary device status monitoring：Secondary device real-time monitoring information is received, parsing, process monitoring information file are simultaneously
Generate corresponding warning information；
(4) secondary device Strategies of Maintenance is generated：According to equipment real-time monitoring information and warning information, know with reference to Strategies of Maintenance
Know storehouse, form secondary device repair based on condition of component strategy.
The present invention proposes a kind of secondary device Strategies of Maintenance generation method based on status monitoring, defines secondary device monitoring
The information such as the information type of state information, information importance degree, alarm threshold, and the information is related to specific Strategies of Maintenance
Connection, when the alarm of corresponding information amount occurs in equipment, according to the configuration of Strategies of Maintenance knowledge base, the formulation of guided maintenance strategy,
The method comprises the steps:
(1) secondary device status monitoring information table is set up, state information data is imported, is comprised the concrete steps that：From transformer station
Secondary device CIM file in receiving station, resolution file therefrom extract outbound interior secondary device full model data and secondary
Monitoring of equipment state quantity data, state quantity data include：The quantity of state title of secondary device, quantity of state type, quantity of state are important
The information such as degree, information threshold；
(2) secondary device repair based on condition of component policy information table, init state Strategies of Maintenance knowledge base, Strategies of Maintenance letter are set up
Breath includes：The information such as secondary device fault information volume title, trouble unit, failure cause, treatment advice.Initialization content information
From specialist system, maintenance regulations and producer's overhaul manual etc..
(3) from transformer station's Real-time Collection secondary device Condition Monitoring Data, and data are carried out parsing, are processed, generate phase
The warning information answered.
(4) according to equipment real-time monitoring information and warning information, with reference to Strategies of Maintenance knowledge base, form secondary device state
Strategies of Maintenance.
Present invention contrast prior art, has the following advantages：
Secondary device Condition Monitoring Data and Tactial problem are formulated organic by the state decision system that the present invention is established
Combine, can the different monitoring state amount alarm of equipment, provide the Strategies of Maintenance met in the case of quantity of state alarm, be
The formulation of secondary device Strategies of Maintenance provides technical support；When monitoring of equipment quantity of state changes, can be by upgrading in time
Strategies of Maintenance model, makes Strategies of Maintenance meet new monitoring of equipment demand.
Specific embodiment
The present invention realizes that a kind of secondary device Strategies of Maintenance generation method specific implementation step based on status monitoring includes：
(1) set up secondary device status monitoring information table
It is different according to secondary device type, set up different status monitoring information scales.Apsi message source is transformer station
The CIM file of upload, main website end receive model file parsing, and monitoring state amount information is stored in apsi message.Prison
Survey quantity of state and be divided into two classes：One class is analog quantity, another kind of for amount of logic.Analog quantity transmission data is numeral, amount of logic transmission
Data are 0 or 1.For analogue type monitoring state amount, its alarm threshold information in CIM file, can be pre-defined；For patrolling
Type monitoring state amount is collected, its alarm level in CIM file, can be pre-defined.
(1.1) station level secondary device
Station level equipment is one ring of key of substation equipment.Station level equipment failure, exception, affect the operation of transformer station
Safety, also affects dispatching and monitoring and real-time control.Station level equipment condition monitoring information includes：
(1) monitoring system of electric substation main frame (server, operator station, five anti-work stations etc.)
Mostly rack/tower general purpose computer, Unix/Linux/Win commercial operation systems.Information can be gathered to be included：
CPU occupation rates, memory usage, hard disk remaining space, network interface break-make, critical processes running status etc..Collection is by DL/
The pattern of T 860 or privately owned stipulations is carried out.
(2) equipment such as intelligent telecontrol communication machine, telemechanical substation, prudential sub-station
Mostly device type special equipment, typically using embedded real-time operating systems such as VxWorks, Linux.Letter can be gathered
Breath includes CPU occupation rates, memory usage, hard disk remaining space, network interface break-make, power supply operating mode, critical processes operation shape
State etc..Collection is carried out by the pattern of DL/T 860 or privately owned stipulations.
(3) secondary security device
For hardware firewall, isolating device etc., its power alarm signal can be gathered, be gathered by way of the point that hardens.
If hardware firewall, isolating device possess, internal alarm, operating condition information also can be gathered by way of SNMP.
(1.2) wall secondary device
Equipment has a perfect on-line condition monitoring function, the abnormal information in running can the above be sent to secondary device
State monitoring module.Typically by module compositions such as collection, IO, memorizer, clock and communication interfaces, it supervises wall secondary device
The information of survey includes：Operation information, action message, warning information, fresh information, metrical information (alternating current and direct current, temperature, electricity
Degree, remote signalling, transformer gear, SOE etc.).
These information set up the data model of self-described using DL/T860, and these are believed by secondary device on-line monitoring module
Breath carries out classified finishing according to secondary device type, can effectively monitor secondary equipment health state.
(1.3) process layer secondary device
Process layer devices are similar with the hardware structure of protection supervisory equipment, and process layer lays particular emphasis on data acquisition and communication work(
Energy.The status monitoring information of process layer also includes in addition to the monitoring information of above-mentioned protection supervisory equipment：Luminous power monitoring, light intensity
The monitoring of out-of-limit, communication link, pair when Stateful Inspection etc..The status monitoring information of process layer is sent to measure and control device by GOOSE,
Measure and control device is by MMS message up sending to station level secondary device on-line condition monitoring module.
(2) set up secondary device repair based on condition of component policy information table
Secondary device repair based on condition of component plan knowledge storehouse includes maintenance decision knowledge base and maintenance measure knowledge base, secondary device
Decision-making of Condition-based Maintenance knowledge base is and the Chemical Apparatus Importance Classification based on equipment condition monitoring and evaluation result, and equipment state is carried out
Classification is processed, and whether equipment is needed to repair, what is repaiied, and maintenance rank carries out decision-making treatment；Secondary device repair based on condition of component is arranged
It is that, based on maintenance decision and status monitoring result, for different maintenance ranks and status information of equipment, lookup is obtained to apply knowledge base
Different maintenance contents, and provide corresponding maintenance step.By taking switch as an example, its maintenance decision knowledge base content is：
(3) from transformer station's Real-time Collection secondary device Condition Monitoring Data, and data are carried out parsing, are processed, generate phase
The warning information answered
Real time data of the secondary device Condition Monitoring Data from monitoring of equipment, real time data are directly adopted from transformer substation end
2nd area of scheduling station safety in production are uploaded to 61850 agreements, scheduling is sent in database synchronization mode by isolating device
3rd area of safety in production of main website；After data reach 3rd area, Monitoring Data is transferred to by needs in data exchange service mode and obtains real
When Monitoring Data application system.It is larger in view of real-time Data Transmission data volume, it is to lift data receiver efficiency, between 3rd area
Data transfer mode using Json messages form transmit.
(3.1) data parsing
After application system obtains Json messages, message content is parsed using specific format, message content includes：Become
The contents such as power station ID, device name, device id, monitoring of equipment state duration set, transmission time.With certain circuit measure and control device it is
, its Json message content is：
(3.2) data analysiss
After reception Json messages complete data parsing work, data analysiss are carried out to Monitoring Data, analysing content includes：
(1) protocol analysis
Alarm is parsed and is provided according to protocol type and its form to message, concrete alarm is as follows：
A () should provide decoding error alarm when the form that its stipulations specifies is not met when message；
B () GOOSE alarm types include：Chain rupture, GOOSE retransmit the alarms such as interval is abnormal, message is overtime, configuration is not inconsistent；
C () SV alarm types include：Chain rupture, time-out, sample count is abnormal, SV is asynchronous, SV quality informations change or different
Often, configuration such as is not inconsistent at the alarm.
(2) legitimacy analysis
A () provides abnormality alarming immediately to the illegal link of station communication both sides' behavior；
B () should provide network in Preset Time, when port does not receive message without alarming flow；
C () receiving data proposes data exception alarm after exceeding reasonable data scope.
(3.3) data processing
Data analysiss work, rejecting abnormalities data and unreasonable data are completed, normal Monitoring Data is preserved after warehouse-in, root
According to the alarm configuration carried out to each monitoring state amount in secondary device status monitoring information table, Real-time Monitoring Data is accused
Alert analysis, once when there are the abnormal informations such as alarm, error logging, then generating corresponding warning information.
Warning content is divided into two classes：One class is alerted for analog quantity；One class is alerted for amount of logic.For analogue type monitoring state
Amount, if the Monitoring Data for receiving exceedes the threshold range in monitoring information table, generates the warning information of appropriate level；It is right
In logical type monitoring state amount, if the Monitoring Data for receiving is 1, the warning information of appropriate level is generated.
(4) according to equipment real-time monitoring information and warning information, with reference to Strategies of Maintenance knowledge base, form secondary device state
Strategies of Maintenance
For the warning information that secondary device state monitoring module is produced, by background task is by alarm statuses amount and overhauls
The Strategies of Maintenance pre-saved in plan knowledge storehouse carries out correspondence, is taken out corresponding maintenance suggestion, and content includes maintenance
The contents such as time, failure cause, trouble location, maintenance suggestion.
Embodiments of the present invention not limited to this, under the premise of above-mentioned basic fundamental thought of the invention, according to this area
Modification, replacement or the change of ordinary technical knowledge and customary means other various ways made to present invention, all falls within
Within rights protection scope of the present invention.
Claims (7)
1. a kind of secondary device Strategies of Maintenance generation method based on status monitoring, it is characterised in that：Comprise the steps：
(1) secondary device status monitoring information scale is set up, state information data is imported, is comprised the concrete steps that：Connect from transformer station
Receive secondary device CIM file in station, resolution file therefrom extracts outbound interior secondary device full model data and secondary sets
Standby monitoring state amount data, monitoring state amount data include：The quantity of state title of secondary device, quantity of state type, quantity of state weight
Spend, information threshold；
(2) secondary device repair based on condition of component policy information table, init state Strategies of Maintenance knowledge base, Strategies of Maintenance packet are set up
Include：Secondary device fault information volume title, trouble unit, failure cause, treatment advice；Initialization content information is from expert system
System, maintenance regulations and producer's overhaul manual；
(3) from transformer station's Real-time Collection secondary device Condition Monitoring Data, and Condition Monitoring Data is carried out parsing, is processed, it is raw
Into corresponding warning information；
(4) according to equipment real-time monitoring information and warning information, with reference to Strategies of Maintenance knowledge base, form secondary device repair based on condition of component
Strategy.
2. method according to claim 1, it is characterised in that：The monitoring state amount is divided into two classes：One class is analog quantity,
It is another kind of for amount of logic；Analog quantity transmission data is numeral, and amount of logic transmission data is 0 or 1；For analogue type monitoring state
Amount, can pre-define its alarm threshold information in CIM file；For logical type monitoring state amount, meeting in CIM file
Pre-define its alarm level.
3. method according to claim 1, it is characterised in that：Repair based on condition of component plan knowledge storehouse bag in the step (2)
Maintenance decision knowledge base and maintenance measure knowledge base are included, the maintenance decision knowledge base is based on equipment condition monitoring and evaluates knot
Really, and Chemical Apparatus Importance Classification, classification process is carried out to equipment state, whether equipment is needed to repair, what is repaiied, overhaul rank
Carry out decision-making treatment；The maintenance measure knowledge base is based on maintenance decision and status monitoring result, for different maintenance ranks
And status information of equipment, lookup obtains different maintenance contents, and provides corresponding maintenance step.
4. method according to claim 1, it is characterised in that：Secondary device Condition Monitoring Data in the step (3)
From the real time data of monitoring of equipment, real time data is directly uploaded to scheduling station peace using 61850 agreements from transformer substation end
2nd area of full production, are sent to scheduling station safety in production three area in database synchronization mode by isolating device；Data reach three
Qu Hou, Monitoring Data is transferred to the application system for needing to obtain Real-time Monitoring Data in data exchange service mode.
5. method according to claim 4, it is characterised in that：Data transfer mode between 3rd area is reported using Json
Literary form transmission.
6. the method according to claim 1-5 any one, it is characterised in that：Condition Monitoring Data is carried out parsing, located
Reason, generates comprising the following steps that for corresponding warning information：
A () obtains Json messages after, message content is parsed using specific format, message content includes：Transformer station ID, set
Standby title, device id, monitoring of equipment state duration set, transmission time；
B () reception Json messages complete data parsing work after, data analysiss, including protocol analysis and conjunction are carried out to Monitoring Data
Method is analyzed；
C () completes data analysiss work, rejecting abnormalities data and unreasonable data, normal Monitoring Data is preserved after warehouse-in, root
According to the alarm configuration carried out to each monitoring state amount in secondary device status monitoring information table, Real-time Monitoring Data is accused
Alert analysis, once when there are the abnormal informations such as alarm, error logging, then generating corresponding warning information；The warning information point
For two classes：One class is alerted for analog quantity；One class is alerted for amount of logic.
7. the method according to claim 6 any one, it is characterised in that：The particular content of the step (4) is：For
The warning information that secondary device state monitoring module is produced, by background task by alarm statuses amount and Strategies of Maintenance knowledge base
The Strategies of Maintenance for pre-saving carries out correspondence, is taken out corresponding maintenance suggestion, and formation includes that repair time, failure are former
Cause, trouble location, the Strategies of Maintenance of maintenance suggestion.
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| CN201610890626.3A CN106570613A (en) | 2016-10-12 | 2016-10-12 | Secondary equipment maintenance strategy generation method based on state monitoring |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109599848A (en) * | 2018-11-26 | 2019-04-09 | 国家电网公司西南分部 | The defect handling method and defect processing system of electric grid secondary equipment |
| CN112434079A (en) * | 2020-11-25 | 2021-03-02 | 国网湖北省电力有限公司咸宁供电公司 | Secondary equipment abnormity discrimination decision method and device based on big data |
| CN115065515A (en) * | 2022-06-02 | 2022-09-16 | 国网河北省电力有限公司超高压分公司 | Network security monitoring device of transformer substation |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130138257A1 (en) * | 2011-11-30 | 2013-05-30 | Thomas Edenfeld | System for operating an electric power system and method of operating the same |
| CN105139158A (en) * | 2015-10-10 | 2015-12-09 | 国家电网公司 | Power grid abnormal information intelligent alarming and assistant decision-making method |
| CN105469189A (en) * | 2015-11-17 | 2016-04-06 | 中国南方电网有限责任公司 | Secondary equipment state overhaul decision system and secondary equipment state overhaul decision method based on risk tolerance |
| CN105958652A (en) * | 2016-06-23 | 2016-09-21 | 江苏科技大学 | Unattended operation transformer substation pre-warning system and method based on big data analysis |
-
2016
- 2016-10-12 CN CN201610890626.3A patent/CN106570613A/en not_active Withdrawn
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130138257A1 (en) * | 2011-11-30 | 2013-05-30 | Thomas Edenfeld | System for operating an electric power system and method of operating the same |
| CN105139158A (en) * | 2015-10-10 | 2015-12-09 | 国家电网公司 | Power grid abnormal information intelligent alarming and assistant decision-making method |
| CN105469189A (en) * | 2015-11-17 | 2016-04-06 | 中国南方电网有限责任公司 | Secondary equipment state overhaul decision system and secondary equipment state overhaul decision method based on risk tolerance |
| CN105958652A (en) * | 2016-06-23 | 2016-09-21 | 江苏科技大学 | Unattended operation transformer substation pre-warning system and method based on big data analysis |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109599848A (en) * | 2018-11-26 | 2019-04-09 | 国家电网公司西南分部 | The defect handling method and defect processing system of electric grid secondary equipment |
| CN112434079A (en) * | 2020-11-25 | 2021-03-02 | 国网湖北省电力有限公司咸宁供电公司 | Secondary equipment abnormity discrimination decision method and device based on big data |
| CN115065515A (en) * | 2022-06-02 | 2022-09-16 | 国网河北省电力有限公司超高压分公司 | Network security monitoring device of transformer substation |
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